Note
Go to the end to download the full example code
Recontruct a 2D visual stimulus from real fMRI data#
Bla. Here we decode a 2D stimulus from te Szinte (2024)-dataset.
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from IPython.display import HTML
import seaborn as sns
from braincoder.utils.data import load_szinte2024
import numpy as np
import pandas as pd
# Load data (high-res for PRF fitting)
data = load_szinte2024()
stimulus = data['stimulus']
grid_coordinates = data['grid_coordinates']
tr = data['tr']
data = data['v1_timeseries']
from braincoder.models import GaussianPRF2DWithHRF
from braincoder.hrf import SPMHRFModel
model = GaussianPRF2DWithHRF(grid_coordinates=grid_coordinates,
paradigm=stimulus,
hrf_model=SPMHRFModel(tr=tr))
"""
Fit parameters
--------------
"""
# Fit PRF parameters (encoding model)
from braincoder.optimize import ParameterFitter
# We set up a parameter fitter
par_fitter = ParameterFitter(model, data, stimulus)
# We set up a grid of parameters to search over
x = np.linspace(-8, 8, 20)
y = np.linspace(-4, 4, 20)
sd = np.linspace(1, 5, 10)
# For now, we only use one amplitude and baseline, because we
# use a correlation cost function, which is indifferent to
# the overall scaling of the model
# We can easily estimate these later using OLS
amplitudes = [1.0]
baseline = [0.0]
# Note that the grids should be given in the correct order (can be found back in
# model.parameter_labels)
grid_pars = par_fitter.fit_grid(x, y, sd, baseline, amplitudes, use_correlation_cost=True)
# Once we have the best parameters from the grid, we can optimize the baseline
# and amplitude
refined_grid_pars = par_fitter.refine_baseline_and_amplitude(grid_pars)
# Now we use gradient descent to further optimize the parameters
pars = par_fitter.fit(init_pars=refined_grid_pars, learning_rate=1e-2, max_n_iterations=5000,
min_n_iterations=100,
r2_atol=0.0001)
from braincoder.utils import get_rsq
fitted_r2 = get_rsq(data, model.predict(parameters=pars))
Working with chunk size of 1879
Using correlation cost!
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/Users/gdehol/git/braincoder/braincoder/optimize.py:407: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0.18913099 0.11999808 0.21818842 ... 0.05229992 0.04467732 0.04349693]' has dtype incompatible with float32, please explicitly cast to a compatible dtype first.
parameters.loc[ix] = new_parameters.loc[ix]
Number of problematic voxels (mask): 57
Number of voxels remaining (mask): 2308
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Current R2: 0.20801/Best R2: 0.20801: 2%|▏ | 82/5000 [00:16<13:25, 6.10it/s]
Current R2: 0.20801/Best R2: 0.20801: 2%|▏ | 83/5000 [00:16<14:35, 5.62it/s]
Current R2: 0.20812/Best R2: 0.20812: 2%|▏ | 83/5000 [00:16<14:35, 5.62it/s]
Current R2: 0.20812/Best R2: 0.20812: 2%|▏ | 84/5000 [00:16<16:03, 5.10it/s]
Current R2: 0.20823/Best R2: 0.20823: 2%|▏ | 84/5000 [00:16<16:03, 5.10it/s]
Current R2: 0.20823/Best R2: 0.20823: 2%|▏ | 85/5000 [00:16<15:56, 5.14it/s]
Current R2: 0.20834/Best R2: 0.20834: 2%|▏ | 85/5000 [00:16<15:56, 5.14it/s]
Current R2: 0.20834/Best R2: 0.20834: 2%|▏ | 86/5000 [00:16<17:06, 4.79it/s]
Current R2: 0.20845/Best R2: 0.20845: 2%|▏ | 86/5000 [00:16<17:06, 4.79it/s]
Current R2: 0.20845/Best R2: 0.20845: 2%|▏ | 87/5000 [00:16<17:28, 4.68it/s]
Current R2: 0.20856/Best R2: 0.20856: 2%|▏ | 87/5000 [00:17<17:28, 4.68it/s]
Current R2: 0.20856/Best R2: 0.20856: 2%|▏ | 88/5000 [00:17<17:38, 4.64it/s]
Current R2: 0.20866/Best R2: 0.20866: 2%|▏ | 88/5000 [00:17<17:38, 4.64it/s]
Current R2: 0.20866/Best R2: 0.20866: 2%|▏ | 89/5000 [00:17<18:49, 4.35it/s]
Current R2: 0.20876/Best R2: 0.20876: 2%|▏ | 89/5000 [00:17<18:49, 4.35it/s]
Current R2: 0.20876/Best R2: 0.20876: 2%|▏ | 90/5000 [00:17<19:20, 4.23it/s]
Current R2: 0.20886/Best R2: 0.20886: 2%|▏ | 90/5000 [00:17<19:20, 4.23it/s]
Current R2: 0.20886/Best R2: 0.20886: 2%|▏ | 91/5000 [00:17<17:57, 4.56it/s]
Current R2: 0.20896/Best R2: 0.20896: 2%|▏ | 91/5000 [00:18<17:57, 4.56it/s]
Current R2: 0.20896/Best R2: 0.20896: 2%|▏ | 92/5000 [00:18<17:33, 4.66it/s]
Current R2: 0.20906/Best R2: 0.20906: 2%|▏ | 92/5000 [00:18<17:33, 4.66it/s]
Current R2: 0.20906/Best R2: 0.20906: 2%|▏ | 93/5000 [00:18<17:52, 4.57it/s]
Current R2: 0.20915/Best R2: 0.20915: 2%|▏ | 93/5000 [00:18<17:52, 4.57it/s]
Current R2: 0.20915/Best R2: 0.20915: 2%|▏ | 94/5000 [00:18<17:42, 4.62it/s]
Current R2: 0.20925/Best R2: 0.20925: 2%|▏ | 94/5000 [00:18<17:42, 4.62it/s]
Current R2: 0.20925/Best R2: 0.20925: 2%|▏ | 95/5000 [00:18<16:37, 4.92it/s]
Current R2: 0.20934/Best R2: 0.20934: 2%|▏ | 95/5000 [00:18<16:37, 4.92it/s]
Current R2: 0.20934/Best R2: 0.20934: 2%|▏ | 96/5000 [00:18<15:04, 5.42it/s]
Current R2: 0.20943/Best R2: 0.20943: 2%|▏ | 96/5000 [00:18<15:04, 5.42it/s]
Current R2: 0.20943/Best R2: 0.20943: 2%|▏ | 97/5000 [00:18<13:59, 5.84it/s]
Current R2: 0.20951/Best R2: 0.20951: 2%|▏ | 97/5000 [00:19<13:59, 5.84it/s]
Current R2: 0.20951/Best R2: 0.20951: 2%|▏ | 98/5000 [00:19<13:05, 6.24it/s]
Current R2: 0.20960/Best R2: 0.20960: 2%|▏ | 98/5000 [00:19<13:05, 6.24it/s]
Current R2: 0.20960/Best R2: 0.20960: 2%|▏ | 99/5000 [00:19<12:27, 6.55it/s]
Current R2: 0.20968/Best R2: 0.20968: 2%|▏ | 99/5000 [00:19<12:27, 6.55it/s]
Current R2: 0.20968/Best R2: 0.20968: 2%|▏ | 100/5000 [00:19<12:21, 6.61it/s]
Current R2: 0.20977/Best R2: 0.20977: 2%|▏ | 100/5000 [00:19<12:21, 6.61it/s]
Current R2: 0.20977/Best R2: 0.20977: 2%|▏ | 101/5000 [00:19<12:11, 6.69it/s]
Current R2: 0.20985/Best R2: 0.20985: 2%|▏ | 101/5000 [00:19<12:11, 6.69it/s]
Current R2: 0.20985/Best R2: 0.20985: 2%|▏ | 102/5000 [00:19<12:25, 6.57it/s]
Current R2: 0.20992/Best R2: 0.20992: 2%|▏ | 102/5000 [00:19<12:25, 6.57it/s]
Current R2: 0.20992/Best R2: 0.20992: 2%|▏ | 103/5000 [00:19<12:08, 6.72it/s]
Current R2: 0.21000/Best R2: 0.21000: 2%|▏ | 103/5000 [00:19<12:08, 6.72it/s]
Current R2: 0.21000/Best R2: 0.21000: 2%|▏ | 104/5000 [00:19<12:19, 6.62it/s]
Current R2: 0.21008/Best R2: 0.21008: 2%|▏ | 104/5000 [00:20<12:19, 6.62it/s]
Current R2: 0.21008/Best R2: 0.21008: 2%|▏ | 105/5000 [00:20<13:19, 6.12it/s]
Current R2: 0.21015/Best R2: 0.21015: 2%|▏ | 105/5000 [00:20<13:19, 6.12it/s]
Current R2: 0.21015/Best R2: 0.21015: 2%|▏ | 106/5000 [00:20<13:55, 5.86it/s]
Current R2: 0.21022/Best R2: 0.21022: 2%|▏ | 106/5000 [00:20<13:55, 5.86it/s]
Current R2: 0.21022/Best R2: 0.21022: 2%|▏ | 107/5000 [00:20<13:19, 6.12it/s]
Current R2: 0.21029/Best R2: 0.21029: 2%|▏ | 107/5000 [00:20<13:19, 6.12it/s]
Current R2: 0.21029/Best R2: 0.21029: 2%|▏ | 108/5000 [00:20<12:17, 6.63it/s]
Current R2: 0.21036/Best R2: 0.21036: 2%|▏ | 108/5000 [00:20<12:17, 6.63it/s]
Current R2: 0.21036/Best R2: 0.21036: 2%|▏ | 109/5000 [00:20<11:18, 7.21it/s]
Current R2: 0.21043/Best R2: 0.21043: 2%|▏ | 109/5000 [00:20<11:18, 7.21it/s]
Current R2: 0.21043/Best R2: 0.21043: 2%|▏ | 110/5000 [00:20<11:12, 7.27it/s]
Current R2: 0.21050/Best R2: 0.21050: 2%|▏ | 110/5000 [00:21<11:12, 7.27it/s]
Current R2: 0.21050/Best R2: 0.21050: 2%|▏ | 111/5000 [00:21<12:49, 6.35it/s]
Current R2: 0.21056/Best R2: 0.21056: 2%|▏ | 111/5000 [00:21<12:49, 6.35it/s]
Current R2: 0.21056/Best R2: 0.21056: 2%|▏ | 112/5000 [00:21<12:10, 6.69it/s]
Current R2: 0.21063/Best R2: 0.21063: 2%|▏ | 112/5000 [00:21<12:10, 6.69it/s]
Current R2: 0.21063/Best R2: 0.21063: 2%|▏ | 113/5000 [00:21<12:06, 6.73it/s]
Current R2: 0.21069/Best R2: 0.21069: 2%|▏ | 113/5000 [00:21<12:06, 6.73it/s]
Current R2: 0.21069/Best R2: 0.21069: 2%|▏ | 114/5000 [00:21<12:52, 6.33it/s]
Current R2: 0.21075/Best R2: 0.21075: 2%|▏ | 114/5000 [00:21<12:52, 6.33it/s]
Current R2: 0.21075/Best R2: 0.21075: 2%|▏ | 115/5000 [00:21<13:11, 6.17it/s]
Current R2: 0.21081/Best R2: 0.21081: 2%|▏ | 115/5000 [00:21<13:11, 6.17it/s]
Current R2: 0.21081/Best R2: 0.21081: 2%|▏ | 116/5000 [00:21<13:51, 5.87it/s]
Current R2: 0.21087/Best R2: 0.21087: 2%|▏ | 116/5000 [00:22<13:51, 5.87it/s]
Current R2: 0.21087/Best R2: 0.21087: 2%|▏ | 117/5000 [00:22<13:55, 5.85it/s]
Current R2: 0.21093/Best R2: 0.21093: 2%|▏ | 117/5000 [00:22<13:55, 5.85it/s]
Current R2: 0.21093/Best R2: 0.21093: 2%|▏ | 118/5000 [00:22<13:30, 6.03it/s]
Current R2: 0.21099/Best R2: 0.21099: 2%|▏ | 118/5000 [00:22<13:30, 6.03it/s]
Current R2: 0.21099/Best R2: 0.21099: 2%|▏ | 119/5000 [00:22<13:30, 6.02it/s]
Current R2: 0.21105/Best R2: 0.21105: 2%|▏ | 119/5000 [00:22<13:30, 6.02it/s]
Current R2: 0.21105/Best R2: 0.21105: 2%|▏ | 120/5000 [00:22<12:49, 6.34it/s]
Current R2: 0.21110/Best R2: 0.21110: 2%|▏ | 120/5000 [00:22<12:49, 6.34it/s]
Current R2: 0.21110/Best R2: 0.21110: 2%|▏ | 121/5000 [00:22<12:18, 6.61it/s]
Current R2: 0.21116/Best R2: 0.21116: 2%|▏ | 121/5000 [00:22<12:18, 6.61it/s]
Current R2: 0.21116/Best R2: 0.21116: 2%|▏ | 122/5000 [00:22<12:27, 6.53it/s]
Current R2: 0.21121/Best R2: 0.21121: 2%|▏ | 122/5000 [00:22<12:27, 6.53it/s]
Current R2: 0.21121/Best R2: 0.21121: 2%|▏ | 123/5000 [00:22<12:20, 6.59it/s]
Current R2: 0.21126/Best R2: 0.21126: 2%|▏ | 123/5000 [00:23<12:20, 6.59it/s]
Current R2: 0.21126/Best R2: 0.21126: 2%|▏ | 124/5000 [00:23<12:27, 6.53it/s]
Current R2: 0.21132/Best R2: 0.21132: 2%|▏ | 124/5000 [00:23<12:27, 6.53it/s]
Current R2: 0.21132/Best R2: 0.21132: 2%|▎ | 125/5000 [00:23<12:43, 6.39it/s]
Current R2: 0.21137/Best R2: 0.21137: 2%|▎ | 125/5000 [00:23<12:43, 6.39it/s]
Current R2: 0.21137/Best R2: 0.21137: 3%|▎ | 126/5000 [00:23<13:05, 6.20it/s]
Current R2: 0.21142/Best R2: 0.21142: 3%|▎ | 126/5000 [00:23<13:05, 6.20it/s]
Current R2: 0.21142/Best R2: 0.21142: 3%|▎ | 127/5000 [00:23<12:48, 6.34it/s]
Current R2: 0.21147/Best R2: 0.21147: 3%|▎ | 127/5000 [00:23<12:48, 6.34it/s]
Current R2: 0.21147/Best R2: 0.21147: 3%|▎ | 128/5000 [00:23<13:40, 5.94it/s]
Current R2: 0.21152/Best R2: 0.21152: 3%|▎ | 128/5000 [00:24<13:40, 5.94it/s]
Current R2: 0.21152/Best R2: 0.21152: 3%|▎ | 129/5000 [00:24<14:43, 5.51it/s]
Current R2: 0.21157/Best R2: 0.21157: 3%|▎ | 129/5000 [00:24<14:43, 5.51it/s]
Current R2: 0.21157/Best R2: 0.21157: 3%|▎ | 130/5000 [00:24<14:19, 5.66it/s]
Current R2: 0.21161/Best R2: 0.21161: 3%|▎ | 130/5000 [00:24<14:19, 5.66it/s]
Current R2: 0.21161/Best R2: 0.21161: 3%|▎ | 131/5000 [00:24<14:17, 5.68it/s]
Current R2: 0.21166/Best R2: 0.21166: 3%|▎ | 131/5000 [00:24<14:17, 5.68it/s]
Current R2: 0.21166/Best R2: 0.21166: 3%|▎ | 132/5000 [00:24<15:20, 5.29it/s]
Current R2: 0.21171/Best R2: 0.21171: 3%|▎ | 132/5000 [00:24<15:20, 5.29it/s]
Current R2: 0.21171/Best R2: 0.21171: 3%|▎ | 133/5000 [00:24<16:00, 5.06it/s]
Current R2: 0.21175/Best R2: 0.21175: 3%|▎ | 133/5000 [00:24<16:00, 5.06it/s]
Current R2: 0.21175/Best R2: 0.21175: 3%|▎ | 134/5000 [00:25<16:11, 5.01it/s]
Current R2: 0.21180/Best R2: 0.21180: 3%|▎ | 134/5000 [00:25<16:11, 5.01it/s]
Current R2: 0.21180/Best R2: 0.21180: 3%|▎ | 135/5000 [00:25<16:09, 5.02it/s]
Current R2: 0.21185/Best R2: 0.21185: 3%|▎ | 135/5000 [00:25<16:09, 5.02it/s]
Current R2: 0.21185/Best R2: 0.21185: 3%|▎ | 136/5000 [00:25<15:34, 5.21it/s]
Current R2: 0.21189/Best R2: 0.21189: 3%|▎ | 136/5000 [00:25<15:34, 5.21it/s]
Current R2: 0.21189/Best R2: 0.21189: 3%|▎ | 137/5000 [00:25<14:47, 5.48it/s]
Current R2: 0.21193/Best R2: 0.21193: 3%|▎ | 137/5000 [00:25<14:47, 5.48it/s]
Current R2: 0.21193/Best R2: 0.21193: 3%|▎ | 138/5000 [00:25<15:14, 5.32it/s]
Current R2: 0.21198/Best R2: 0.21198: 3%|▎ | 138/5000 [00:25<15:14, 5.32it/s]
Current R2: 0.21198/Best R2: 0.21198: 3%|▎ | 139/5000 [00:25<14:49, 5.47it/s]
Current R2: 0.21202/Best R2: 0.21202: 3%|▎ | 139/5000 [00:26<14:49, 5.47it/s]
Current R2: 0.21202/Best R2: 0.21202: 3%|▎ | 140/5000 [00:26<15:08, 5.35it/s]
Current R2: 0.21206/Best R2: 0.21206: 3%|▎ | 140/5000 [00:26<15:08, 5.35it/s]
Current R2: 0.21206/Best R2: 0.21206: 3%|▎ | 141/5000 [00:26<14:57, 5.42it/s]
Current R2: 0.21211/Best R2: 0.21211: 3%|▎ | 141/5000 [00:26<14:57, 5.42it/s]
Current R2: 0.21211/Best R2: 0.21211: 3%|▎ | 142/5000 [00:26<14:04, 5.75it/s]
Current R2: 0.21215/Best R2: 0.21215: 3%|▎ | 142/5000 [00:26<14:04, 5.75it/s]
Current R2: 0.21215/Best R2: 0.21215: 3%|▎ | 143/5000 [00:26<13:33, 5.97it/s]
Current R2: 0.21219/Best R2: 0.21219: 3%|▎ | 143/5000 [00:26<13:33, 5.97it/s]
Current R2: 0.21219/Best R2: 0.21219: 3%|▎ | 144/5000 [00:26<13:46, 5.88it/s]
Current R2: 0.21223/Best R2: 0.21223: 3%|▎ | 144/5000 [00:26<13:46, 5.88it/s]
Current R2: 0.21223/Best R2: 0.21223: 3%|▎ | 145/5000 [00:26<13:26, 6.02it/s]
Current R2: 0.21227/Best R2: 0.21227: 3%|▎ | 145/5000 [00:27<13:26, 6.02it/s]
Current R2: 0.21227/Best R2: 0.21227: 3%|▎ | 146/5000 [00:27<15:58, 5.07it/s]
Current R2: 0.21231/Best R2: 0.21231: 3%|▎ | 146/5000 [00:27<15:58, 5.07it/s]
Current R2: 0.21231/Best R2: 0.21231: 3%|▎ | 147/5000 [00:27<15:51, 5.10it/s]
Current R2: 0.21235/Best R2: 0.21235: 3%|▎ | 147/5000 [00:27<15:51, 5.10it/s]
Current R2: 0.21235/Best R2: 0.21235: 3%|▎ | 148/5000 [00:27<16:28, 4.91it/s]
Current R2: 0.21239/Best R2: 0.21239: 3%|▎ | 148/5000 [00:27<16:28, 4.91it/s]
Current R2: 0.21239/Best R2: 0.21239: 3%|▎ | 149/5000 [00:27<17:47, 4.54it/s]
Current R2: 0.21243/Best R2: 0.21243: 3%|▎ | 149/5000 [00:28<17:47, 4.54it/s]
Current R2: 0.21243/Best R2: 0.21243: 3%|▎ | 150/5000 [00:28<18:27, 4.38it/s]
Current R2: 0.21247/Best R2: 0.21247: 3%|▎ | 150/5000 [00:28<18:27, 4.38it/s]
Current R2: 0.21247/Best R2: 0.21247: 3%|▎ | 151/5000 [00:28<16:54, 4.78it/s]
Current R2: 0.21251/Best R2: 0.21251: 3%|▎ | 151/5000 [00:28<16:54, 4.78it/s]
Current R2: 0.21251/Best R2: 0.21251: 3%|▎ | 152/5000 [00:28<16:28, 4.90it/s]
Current R2: 0.21254/Best R2: 0.21254: 3%|▎ | 152/5000 [00:28<16:28, 4.90it/s]
Current R2: 0.21254/Best R2: 0.21254: 3%|▎ | 153/5000 [00:28<15:24, 5.25it/s]
Current R2: 0.21258/Best R2: 0.21258: 3%|▎ | 153/5000 [00:28<15:24, 5.25it/s]
Current R2: 0.21258/Best R2: 0.21258: 3%|▎ | 154/5000 [00:28<15:02, 5.37it/s]
Current R2: 0.21262/Best R2: 0.21262: 3%|▎ | 154/5000 [00:28<15:02, 5.37it/s]
Current R2: 0.21262/Best R2: 0.21262: 3%|▎ | 155/5000 [00:28<14:38, 5.52it/s]
Current R2: 0.21266/Best R2: 0.21266: 3%|▎ | 155/5000 [00:29<14:38, 5.52it/s]
Current R2: 0.21266/Best R2: 0.21266: 3%|▎ | 156/5000 [00:29<14:30, 5.56it/s]
Current R2: 0.21269/Best R2: 0.21269: 3%|▎ | 156/5000 [00:29<14:30, 5.56it/s]
Current R2: 0.21269/Best R2: 0.21269: 3%|▎ | 157/5000 [00:29<14:39, 5.51it/s]
Current R2: 0.21273/Best R2: 0.21273: 3%|▎ | 157/5000 [00:29<14:39, 5.51it/s]
Current R2: 0.21273/Best R2: 0.21273: 3%|▎ | 158/5000 [00:29<13:42, 5.89it/s]
Current R2: 0.21277/Best R2: 0.21277: 3%|▎ | 158/5000 [00:29<13:42, 5.89it/s]
Current R2: 0.21277/Best R2: 0.21277: 3%|▎ | 159/5000 [00:29<13:17, 6.07it/s]
Current R2: 0.21280/Best R2: 0.21280: 3%|▎ | 159/5000 [00:29<13:17, 6.07it/s]
Current R2: 0.21280/Best R2: 0.21280: 3%|▎ | 160/5000 [00:29<12:52, 6.26it/s]
Current R2: 0.21284/Best R2: 0.21284: 3%|▎ | 160/5000 [00:29<12:52, 6.26it/s]
Current R2: 0.21284/Best R2: 0.21284: 3%|▎ | 161/5000 [00:29<12:28, 6.47it/s]
Current R2: 0.21287/Best R2: 0.21287: 3%|▎ | 161/5000 [00:30<12:28, 6.47it/s]
Current R2: 0.21287/Best R2: 0.21287: 3%|▎ | 162/5000 [00:30<13:17, 6.06it/s]
Current R2: 0.21291/Best R2: 0.21291: 3%|▎ | 162/5000 [00:30<13:17, 6.06it/s]
Current R2: 0.21291/Best R2: 0.21291: 3%|▎ | 163/5000 [00:30<14:52, 5.42it/s]
Current R2: 0.21294/Best R2: 0.21294: 3%|▎ | 163/5000 [00:30<14:52, 5.42it/s]
Current R2: 0.21294/Best R2: 0.21294: 3%|▎ | 164/5000 [00:30<15:49, 5.09it/s]
Current R2: 0.21298/Best R2: 0.21298: 3%|▎ | 164/5000 [00:30<15:49, 5.09it/s]
Current R2: 0.21298/Best R2: 0.21298: 3%|▎ | 165/5000 [00:30<15:00, 5.37it/s]
Current R2: 0.21301/Best R2: 0.21301: 3%|▎ | 165/5000 [00:30<15:00, 5.37it/s]
Current R2: 0.21301/Best R2: 0.21301: 3%|▎ | 166/5000 [00:30<14:07, 5.70it/s]
Current R2: 0.21305/Best R2: 0.21305: 3%|▎ | 166/5000 [00:31<14:07, 5.70it/s]
Current R2: 0.21305/Best R2: 0.21305: 3%|▎ | 167/5000 [00:31<13:25, 6.00it/s]
Current R2: 0.21308/Best R2: 0.21308: 3%|▎ | 167/5000 [00:31<13:25, 6.00it/s]
Current R2: 0.21308/Best R2: 0.21308: 3%|▎ | 168/5000 [00:31<12:56, 6.22it/s]
Current R2: 0.21311/Best R2: 0.21311: 3%|▎ | 168/5000 [00:31<12:56, 6.22it/s]
Current R2: 0.21311/Best R2: 0.21311: 3%|▎ | 169/5000 [00:31<12:42, 6.34it/s]
Current R2: 0.21315/Best R2: 0.21315: 3%|▎ | 169/5000 [00:31<12:42, 6.34it/s]
Current R2: 0.21315/Best R2: 0.21315: 3%|▎ | 170/5000 [00:31<11:59, 6.72it/s]
Current R2: 0.21318/Best R2: 0.21318: 3%|▎ | 170/5000 [00:31<11:59, 6.72it/s]
Current R2: 0.21318/Best R2: 0.21318: 3%|▎ | 171/5000 [00:31<11:35, 6.95it/s]
Current R2: 0.21321/Best R2: 0.21321: 3%|▎ | 171/5000 [00:31<11:35, 6.95it/s]
Current R2: 0.21321/Best R2: 0.21321: 3%|▎ | 172/5000 [00:31<11:25, 7.05it/s]
Current R2: 0.21325/Best R2: 0.21325: 3%|▎ | 172/5000 [00:31<11:25, 7.05it/s]
Current R2: 0.21325/Best R2: 0.21325: 3%|▎ | 173/5000 [00:31<11:35, 6.94it/s]
Current R2: 0.21328/Best R2: 0.21328: 3%|▎ | 173/5000 [00:32<11:35, 6.94it/s]
Current R2: 0.21328/Best R2: 0.21328: 3%|▎ | 174/5000 [00:32<11:55, 6.75it/s]
Current R2: 0.21331/Best R2: 0.21331: 3%|▎ | 174/5000 [00:32<11:55, 6.75it/s]
Current R2: 0.21331/Best R2: 0.21331: 4%|▎ | 175/5000 [00:32<11:18, 7.11it/s]
Current R2: 0.21334/Best R2: 0.21334: 4%|▎ | 175/5000 [00:32<11:18, 7.11it/s]
Current R2: 0.21334/Best R2: 0.21334: 4%|▎ | 176/5000 [00:32<12:00, 6.69it/s]
Current R2: 0.21337/Best R2: 0.21337: 4%|▎ | 176/5000 [00:32<12:00, 6.69it/s]
Current R2: 0.21337/Best R2: 0.21337: 4%|▎ | 177/5000 [00:32<11:08, 7.21it/s]
Current R2: 0.21341/Best R2: 0.21341: 4%|▎ | 177/5000 [00:32<11:08, 7.21it/s]
Current R2: 0.21341/Best R2: 0.21341: 4%|▎ | 178/5000 [00:32<10:27, 7.68it/s]
Current R2: 0.21344/Best R2: 0.21344: 4%|▎ | 178/5000 [00:32<10:27, 7.68it/s]
Current R2: 0.21344/Best R2: 0.21344: 4%|▎ | 179/5000 [00:32<10:41, 7.52it/s]
Current R2: 0.21347/Best R2: 0.21347: 4%|▎ | 179/5000 [00:32<10:41, 7.52it/s]
Current R2: 0.21347/Best R2: 0.21347: 4%|▎ | 180/5000 [00:32<10:14, 7.84it/s]
Current R2: 0.21350/Best R2: 0.21350: 4%|▎ | 180/5000 [00:32<10:14, 7.84it/s]
Current R2: 0.21350/Best R2: 0.21350: 4%|▎ | 181/5000 [00:32<09:55, 8.09it/s]
Current R2: 0.21353/Best R2: 0.21353: 4%|▎ | 181/5000 [00:33<09:55, 8.09it/s]
Current R2: 0.21353/Best R2: 0.21353: 4%|▎ | 182/5000 [00:33<10:46, 7.45it/s]
Current R2: 0.21356/Best R2: 0.21356: 4%|▎ | 182/5000 [00:33<10:46, 7.45it/s]
Current R2: 0.21356/Best R2: 0.21356: 4%|▎ | 183/5000 [00:33<11:16, 7.12it/s]
Current R2: 0.21359/Best R2: 0.21359: 4%|▎ | 183/5000 [00:33<11:16, 7.12it/s]
Current R2: 0.21359/Best R2: 0.21359: 4%|▎ | 184/5000 [00:33<11:18, 7.10it/s]
Current R2: 0.21362/Best R2: 0.21362: 4%|▎ | 184/5000 [00:33<11:18, 7.10it/s]
Current R2: 0.21362/Best R2: 0.21362: 4%|▎ | 185/5000 [00:33<12:33, 6.39it/s]
Current R2: 0.21365/Best R2: 0.21365: 4%|▎ | 185/5000 [00:33<12:33, 6.39it/s]
Current R2: 0.21365/Best R2: 0.21365: 4%|▎ | 186/5000 [00:33<12:57, 6.19it/s]
Current R2: 0.21368/Best R2: 0.21368: 4%|▎ | 186/5000 [00:33<12:57, 6.19it/s]
Current R2: 0.21368/Best R2: 0.21368: 4%|▎ | 187/5000 [00:33<12:43, 6.30it/s]
Current R2: 0.21371/Best R2: 0.21371: 4%|▎ | 187/5000 [00:34<12:43, 6.30it/s]
Current R2: 0.21371/Best R2: 0.21371: 4%|▍ | 188/5000 [00:34<13:13, 6.06it/s]
Current R2: 0.21374/Best R2: 0.21374: 4%|▍ | 188/5000 [00:34<13:13, 6.06it/s]
Current R2: 0.21374/Best R2: 0.21374: 4%|▍ | 189/5000 [00:34<12:23, 6.47it/s]
Current R2: 0.21377/Best R2: 0.21377: 4%|▍ | 189/5000 [00:34<12:23, 6.47it/s]
Current R2: 0.21377/Best R2: 0.21377: 4%|▍ | 190/5000 [00:34<13:39, 5.87it/s]
Current R2: 0.21380/Best R2: 0.21380: 4%|▍ | 190/5000 [00:34<13:39, 5.87it/s]
Current R2: 0.21380/Best R2: 0.21380: 4%|▍ | 191/5000 [00:34<12:55, 6.20it/s]
Current R2: 0.21383/Best R2: 0.21383: 4%|▍ | 191/5000 [00:34<12:55, 6.20it/s]
Current R2: 0.21383/Best R2: 0.21383: 4%|▍ | 192/5000 [00:34<13:54, 5.76it/s]
Current R2: 0.21385/Best R2: 0.21385: 4%|▍ | 192/5000 [00:34<13:54, 5.76it/s]
Current R2: 0.21385/Best R2: 0.21385: 4%|▍ | 193/5000 [00:34<14:38, 5.47it/s]
Current R2: 0.21388/Best R2: 0.21388: 4%|▍ | 193/5000 [00:35<14:38, 5.47it/s]
Current R2: 0.21388/Best R2: 0.21388: 4%|▍ | 194/5000 [00:35<14:47, 5.42it/s]
Current R2: 0.21391/Best R2: 0.21391: 4%|▍ | 194/5000 [00:35<14:47, 5.42it/s]
Current R2: 0.21391/Best R2: 0.21391: 4%|▍ | 195/5000 [00:35<17:39, 4.54it/s]
Current R2: 0.21394/Best R2: 0.21394: 4%|▍ | 195/5000 [00:35<17:39, 4.54it/s]
Current R2: 0.21394/Best R2: 0.21394: 4%|▍ | 196/5000 [00:35<18:44, 4.27it/s]
Current R2: 0.21397/Best R2: 0.21397: 4%|▍ | 196/5000 [00:36<18:44, 4.27it/s]
Current R2: 0.21397/Best R2: 0.21397: 4%|▍ | 197/5000 [00:36<21:42, 3.69it/s]
Current R2: 0.21400/Best R2: 0.21400: 4%|▍ | 197/5000 [00:36<21:42, 3.69it/s]
Current R2: 0.21400/Best R2: 0.21400: 4%|▍ | 198/5000 [00:36<20:33, 3.89it/s]
Current R2: 0.21402/Best R2: 0.21402: 4%|▍ | 198/5000 [00:36<20:33, 3.89it/s]
Current R2: 0.21402/Best R2: 0.21402: 4%|▍ | 199/5000 [00:36<20:02, 3.99it/s]
Current R2: 0.21405/Best R2: 0.21405: 4%|▍ | 199/5000 [00:36<20:02, 3.99it/s]
Current R2: 0.21405/Best R2: 0.21405: 4%|▍ | 200/5000 [00:36<20:03, 3.99it/s]
Current R2: 0.21408/Best R2: 0.21408: 4%|▍ | 200/5000 [00:36<20:03, 3.99it/s]
Current R2: 0.21408/Best R2: 0.21408: 4%|▍ | 201/5000 [00:36<17:37, 4.54it/s]
Current R2: 0.21411/Best R2: 0.21411: 4%|▍ | 201/5000 [00:37<17:37, 4.54it/s]
Current R2: 0.21411/Best R2: 0.21411: 4%|▍ | 202/5000 [00:37<15:44, 5.08it/s]
Current R2: 0.21413/Best R2: 0.21413: 4%|▍ | 202/5000 [00:37<15:44, 5.08it/s]
Current R2: 0.21413/Best R2: 0.21413: 4%|▍ | 203/5000 [00:37<14:05, 5.67it/s]
Current R2: 0.21416/Best R2: 0.21416: 4%|▍ | 203/5000 [00:37<14:05, 5.67it/s]
Current R2: 0.21416/Best R2: 0.21416: 4%|▍ | 204/5000 [00:37<12:49, 6.23it/s]
Current R2: 0.21419/Best R2: 0.21419: 4%|▍ | 204/5000 [00:37<12:49, 6.23it/s]
Current R2: 0.21419/Best R2: 0.21419: 4%|▍ | 205/5000 [00:37<11:50, 6.75it/s]
Current R2: 0.21421/Best R2: 0.21421: 4%|▍ | 205/5000 [00:37<11:50, 6.75it/s]
Current R2: 0.21421/Best R2: 0.21421: 4%|▍ | 206/5000 [00:37<11:22, 7.02it/s]
Current R2: 0.21424/Best R2: 0.21424: 4%|▍ | 206/5000 [00:37<11:22, 7.02it/s]
Current R2: 0.21424/Best R2: 0.21424: 4%|▍ | 207/5000 [00:37<11:38, 6.86it/s]
Current R2: 0.21427/Best R2: 0.21427: 4%|▍ | 207/5000 [00:37<11:38, 6.86it/s]
Current R2: 0.21427/Best R2: 0.21427: 4%|▍ | 208/5000 [00:37<11:20, 7.05it/s]
Current R2: 0.21429/Best R2: 0.21429: 4%|▍ | 208/5000 [00:37<11:20, 7.05it/s]
Current R2: 0.21429/Best R2: 0.21429: 4%|▍ | 209/5000 [00:37<11:29, 6.95it/s]
Current R2: 0.21432/Best R2: 0.21432: 4%|▍ | 209/5000 [00:38<11:29, 6.95it/s]
Current R2: 0.21432/Best R2: 0.21432: 4%|▍ | 210/5000 [00:38<12:18, 6.48it/s]
Current R2: 0.21435/Best R2: 0.21435: 4%|▍ | 210/5000 [00:38<12:18, 6.48it/s]
Current R2: 0.21435/Best R2: 0.21435: 4%|▍ | 211/5000 [00:38<11:54, 6.70it/s]
Current R2: 0.21437/Best R2: 0.21437: 4%|▍ | 211/5000 [00:38<11:54, 6.70it/s]
Current R2: 0.21437/Best R2: 0.21437: 4%|▍ | 212/5000 [00:38<11:00, 7.25it/s]
Current R2: 0.21440/Best R2: 0.21440: 4%|▍ | 212/5000 [00:38<11:00, 7.25it/s]
Current R2: 0.21440/Best R2: 0.21440: 4%|▍ | 213/5000 [00:38<10:24, 7.66it/s]
Current R2: 0.21442/Best R2: 0.21442: 4%|▍ | 213/5000 [00:38<10:24, 7.66it/s]
Current R2: 0.21442/Best R2: 0.21442: 4%|▍ | 214/5000 [00:38<10:10, 7.84it/s]
Current R2: 0.21445/Best R2: 0.21445: 4%|▍ | 214/5000 [00:38<10:10, 7.84it/s]
Current R2: 0.21445/Best R2: 0.21445: 4%|▍ | 215/5000 [00:38<10:03, 7.94it/s]
Current R2: 0.21447/Best R2: 0.21447: 4%|▍ | 215/5000 [00:38<10:03, 7.94it/s]
Current R2: 0.21447/Best R2: 0.21447: 4%|▍ | 216/5000 [00:38<09:44, 8.19it/s]
Current R2: 0.21450/Best R2: 0.21450: 4%|▍ | 216/5000 [00:39<09:44, 8.19it/s]
Current R2: 0.21450/Best R2: 0.21450: 4%|▍ | 217/5000 [00:39<10:09, 7.85it/s]
Current R2: 0.21452/Best R2: 0.21452: 4%|▍ | 217/5000 [00:39<10:09, 7.85it/s]
Current R2: 0.21452/Best R2: 0.21452: 4%|▍ | 218/5000 [00:39<10:06, 7.89it/s]
Current R2: 0.21455/Best R2: 0.21455: 4%|▍ | 218/5000 [00:39<10:06, 7.89it/s]
Current R2: 0.21455/Best R2: 0.21455: 4%|▍ | 219/5000 [00:39<10:44, 7.41it/s]
Current R2: 0.21457/Best R2: 0.21457: 4%|▍ | 219/5000 [00:39<10:44, 7.41it/s]
Current R2: 0.21457/Best R2: 0.21457: 4%|▍ | 220/5000 [00:39<10:51, 7.33it/s]
Current R2: 0.21460/Best R2: 0.21460: 4%|▍ | 220/5000 [00:39<10:51, 7.33it/s]
Current R2: 0.21460/Best R2: 0.21460: 4%|▍ | 221/5000 [00:39<10:26, 7.63it/s]
Current R2: 0.21462/Best R2: 0.21462: 4%|▍ | 221/5000 [00:39<10:26, 7.63it/s]
Current R2: 0.21462/Best R2: 0.21462: 4%|▍ | 222/5000 [00:39<10:16, 7.75it/s]
Current R2: 0.21465/Best R2: 0.21465: 4%|▍ | 222/5000 [00:39<10:16, 7.75it/s]
Current R2: 0.21465/Best R2: 0.21465: 4%|▍ | 223/5000 [00:39<10:26, 7.63it/s]
Current R2: 0.21467/Best R2: 0.21467: 4%|▍ | 223/5000 [00:39<10:26, 7.63it/s]
Current R2: 0.21467/Best R2: 0.21467: 4%|▍ | 224/5000 [00:39<11:05, 7.18it/s]
Current R2: 0.21470/Best R2: 0.21470: 4%|▍ | 224/5000 [00:40<11:05, 7.18it/s]
Current R2: 0.21470/Best R2: 0.21470: 4%|▍ | 225/5000 [00:40<11:30, 6.92it/s]
Current R2: 0.21472/Best R2: 0.21472: 4%|▍ | 225/5000 [00:40<11:30, 6.92it/s]
Current R2: 0.21472/Best R2: 0.21472: 5%|▍ | 226/5000 [00:40<11:45, 6.77it/s]
Current R2: 0.21475/Best R2: 0.21475: 5%|▍ | 226/5000 [00:40<11:45, 6.77it/s]
Current R2: 0.21475/Best R2: 0.21475: 5%|▍ | 227/5000 [00:40<12:53, 6.17it/s]
Current R2: 0.21477/Best R2: 0.21477: 5%|▍ | 227/5000 [00:40<12:53, 6.17it/s]
Current R2: 0.21477/Best R2: 0.21477: 5%|▍ | 228/5000 [00:40<12:45, 6.24it/s]
Current R2: 0.21480/Best R2: 0.21480: 5%|▍ | 228/5000 [00:40<12:45, 6.24it/s]
Current R2: 0.21480/Best R2: 0.21480: 5%|▍ | 229/5000 [00:40<12:22, 6.42it/s]
Current R2: 0.21482/Best R2: 0.21482: 5%|▍ | 229/5000 [00:40<12:22, 6.42it/s]
Current R2: 0.21482/Best R2: 0.21482: 5%|▍ | 230/5000 [00:40<11:58, 6.64it/s]
Current R2: 0.21484/Best R2: 0.21484: 5%|▍ | 230/5000 [00:41<11:58, 6.64it/s]
Current R2: 0.21484/Best R2: 0.21484: 5%|▍ | 231/5000 [00:41<11:21, 6.99it/s]
Current R2: 0.21487/Best R2: 0.21487: 5%|▍ | 231/5000 [00:41<11:21, 6.99it/s]
Current R2: 0.21487/Best R2: 0.21487: 5%|▍ | 232/5000 [00:41<10:56, 7.26it/s]
Current R2: 0.21489/Best R2: 0.21489: 5%|▍ | 232/5000 [00:41<10:56, 7.26it/s]
Current R2: 0.21489/Best R2: 0.21489: 5%|▍ | 233/5000 [00:41<11:52, 6.69it/s]
Current R2: 0.21492/Best R2: 0.21492: 5%|▍ | 233/5000 [00:41<11:52, 6.69it/s]
Current R2: 0.21492/Best R2: 0.21492: 5%|▍ | 234/5000 [00:41<12:23, 6.41it/s]
Current R2: 0.21494/Best R2: 0.21494: 5%|▍ | 234/5000 [00:41<12:23, 6.41it/s]
Current R2: 0.21494/Best R2: 0.21494: 5%|▍ | 235/5000 [00:41<11:14, 7.06it/s]
Current R2: 0.21496/Best R2: 0.21496: 5%|▍ | 235/5000 [00:41<11:14, 7.06it/s]
Current R2: 0.21496/Best R2: 0.21496: 5%|▍ | 236/5000 [00:41<11:05, 7.16it/s]
Current R2: 0.21499/Best R2: 0.21499: 5%|▍ | 236/5000 [00:41<11:05, 7.16it/s]
Current R2: 0.21499/Best R2: 0.21499: 5%|▍ | 237/5000 [00:41<10:58, 7.24it/s]
Current R2: 0.21501/Best R2: 0.21501: 5%|▍ | 237/5000 [00:42<10:58, 7.24it/s]
Current R2: 0.21501/Best R2: 0.21501: 5%|▍ | 238/5000 [00:42<11:26, 6.94it/s]
Current R2: 0.21503/Best R2: 0.21503: 5%|▍ | 238/5000 [00:42<11:26, 6.94it/s]
Current R2: 0.21503/Best R2: 0.21503: 5%|▍ | 239/5000 [00:42<11:11, 7.09it/s]
Current R2: 0.21506/Best R2: 0.21506: 5%|▍ | 239/5000 [00:42<11:11, 7.09it/s]
Current R2: 0.21506/Best R2: 0.21506: 5%|▍ | 240/5000 [00:42<10:39, 7.44it/s]
Current R2: 0.21508/Best R2: 0.21508: 5%|▍ | 240/5000 [00:42<10:39, 7.44it/s]
Current R2: 0.21508/Best R2: 0.21508: 5%|▍ | 241/5000 [00:42<11:33, 6.86it/s]
Current R2: 0.21510/Best R2: 0.21510: 5%|▍ | 241/5000 [00:42<11:33, 6.86it/s]
Current R2: 0.21510/Best R2: 0.21510: 5%|▍ | 242/5000 [00:42<11:16, 7.04it/s]
Current R2: 0.21512/Best R2: 0.21512: 5%|▍ | 242/5000 [00:42<11:16, 7.04it/s]
Current R2: 0.21512/Best R2: 0.21512: 5%|▍ | 243/5000 [00:42<10:38, 7.45it/s]
Current R2: 0.21515/Best R2: 0.21515: 5%|▍ | 243/5000 [00:42<10:38, 7.45it/s]
Current R2: 0.21515/Best R2: 0.21515: 5%|▍ | 244/5000 [00:42<10:42, 7.40it/s]
Current R2: 0.21517/Best R2: 0.21517: 5%|▍ | 244/5000 [00:43<10:42, 7.40it/s]
Current R2: 0.21517/Best R2: 0.21517: 5%|▍ | 245/5000 [00:43<10:42, 7.41it/s]
Current R2: 0.21519/Best R2: 0.21519: 5%|▍ | 245/5000 [00:43<10:42, 7.41it/s]
Current R2: 0.21519/Best R2: 0.21519: 5%|▍ | 246/5000 [00:43<10:45, 7.36it/s]
Current R2: 0.21521/Best R2: 0.21521: 5%|▍ | 246/5000 [00:43<10:45, 7.36it/s]
Current R2: 0.21521/Best R2: 0.21521: 5%|▍ | 247/5000 [00:43<10:43, 7.38it/s]
Current R2: 0.21524/Best R2: 0.21524: 5%|▍ | 247/5000 [00:43<10:43, 7.38it/s]
Current R2: 0.21524/Best R2: 0.21524: 5%|▍ | 248/5000 [00:43<10:49, 7.32it/s]
Current R2: 0.21526/Best R2: 0.21526: 5%|▍ | 248/5000 [00:43<10:49, 7.32it/s]
Current R2: 0.21526/Best R2: 0.21526: 5%|▍ | 249/5000 [00:43<10:25, 7.59it/s]
Current R2: 0.21528/Best R2: 0.21528: 5%|▍ | 249/5000 [00:43<10:25, 7.59it/s]
Current R2: 0.21528/Best R2: 0.21528: 5%|▌ | 250/5000 [00:43<10:10, 7.78it/s]
Current R2: 0.21530/Best R2: 0.21530: 5%|▌ | 250/5000 [00:43<10:10, 7.78it/s]
Current R2: 0.21530/Best R2: 0.21530: 5%|▌ | 251/5000 [00:43<10:25, 7.59it/s]
Current R2: 0.21533/Best R2: 0.21533: 5%|▌ | 251/5000 [00:43<10:25, 7.59it/s]
Current R2: 0.21533/Best R2: 0.21533: 5%|▌ | 252/5000 [00:43<10:20, 7.65it/s]
Current R2: 0.21535/Best R2: 0.21535: 5%|▌ | 252/5000 [00:44<10:20, 7.65it/s]
Current R2: 0.21535/Best R2: 0.21535: 5%|▌ | 253/5000 [00:44<10:30, 7.53it/s]
Current R2: 0.21537/Best R2: 0.21537: 5%|▌ | 253/5000 [00:44<10:30, 7.53it/s]
Current R2: 0.21537/Best R2: 0.21537: 5%|▌ | 254/5000 [00:44<10:26, 7.57it/s]
Current R2: 0.21539/Best R2: 0.21539: 5%|▌ | 254/5000 [00:44<10:26, 7.57it/s]
Current R2: 0.21539/Best R2: 0.21539: 5%|▌ | 255/5000 [00:44<10:29, 7.54it/s]
Current R2: 0.21541/Best R2: 0.21541: 5%|▌ | 255/5000 [00:44<10:29, 7.54it/s]
Current R2: 0.21541/Best R2: 0.21541: 5%|▌ | 256/5000 [00:44<10:18, 7.67it/s]
Current R2: 0.21544/Best R2: 0.21544: 5%|▌ | 256/5000 [00:44<10:18, 7.67it/s]
Current R2: 0.21544/Best R2: 0.21544: 5%|▌ | 257/5000 [00:44<10:33, 7.48it/s]
Current R2: 0.21546/Best R2: 0.21546: 5%|▌ | 257/5000 [00:44<10:33, 7.48it/s]
Current R2: 0.21546/Best R2: 0.21546: 5%|▌ | 258/5000 [00:44<12:13, 6.46it/s]
Current R2: 0.21548/Best R2: 0.21548: 5%|▌ | 258/5000 [00:45<12:13, 6.46it/s]
Current R2: 0.21548/Best R2: 0.21548: 5%|▌ | 259/5000 [00:45<13:47, 5.73it/s]
Current R2: 0.21550/Best R2: 0.21550: 5%|▌ | 259/5000 [00:45<13:47, 5.73it/s]
Current R2: 0.21550/Best R2: 0.21550: 5%|▌ | 260/5000 [00:45<16:13, 4.87it/s]
Current R2: 0.21552/Best R2: 0.21552: 5%|▌ | 260/5000 [00:45<16:13, 4.87it/s]
Current R2: 0.21552/Best R2: 0.21552: 5%|▌ | 261/5000 [00:45<16:07, 4.90it/s]
Current R2: 0.21554/Best R2: 0.21554: 5%|▌ | 261/5000 [00:45<16:07, 4.90it/s]
Current R2: 0.21554/Best R2: 0.21554: 5%|▌ | 262/5000 [00:45<13:55, 5.67it/s]
Current R2: 0.21557/Best R2: 0.21557: 5%|▌ | 262/5000 [00:45<13:55, 5.67it/s]
Current R2: 0.21557/Best R2: 0.21557: 5%|▌ | 263/5000 [00:45<13:34, 5.82it/s]
Current R2: 0.21559/Best R2: 0.21559: 5%|▌ | 263/5000 [00:45<13:34, 5.82it/s]
Current R2: 0.21559/Best R2: 0.21559: 5%|▌ | 264/5000 [00:45<12:09, 6.49it/s]
Current R2: 0.21561/Best R2: 0.21561: 5%|▌ | 264/5000 [00:46<12:09, 6.49it/s]
Current R2: 0.21561/Best R2: 0.21561: 5%|▌ | 265/5000 [00:46<13:00, 6.07it/s]
Current R2: 0.21563/Best R2: 0.21563: 5%|▌ | 265/5000 [00:46<13:00, 6.07it/s]
Current R2: 0.21563/Best R2: 0.21563: 5%|▌ | 266/5000 [00:46<15:22, 5.13it/s]
Current R2: 0.21565/Best R2: 0.21565: 5%|▌ | 266/5000 [00:46<15:22, 5.13it/s]
Current R2: 0.21565/Best R2: 0.21565: 5%|▌ | 267/5000 [00:46<16:05, 4.90it/s]
Current R2: 0.21567/Best R2: 0.21567: 5%|▌ | 267/5000 [00:46<16:05, 4.90it/s]
Current R2: 0.21567/Best R2: 0.21567: 5%|▌ | 268/5000 [00:46<15:02, 5.24it/s]
Current R2: 0.21569/Best R2: 0.21569: 5%|▌ | 268/5000 [00:46<15:02, 5.24it/s]
Current R2: 0.21569/Best R2: 0.21569: 5%|▌ | 269/5000 [00:46<15:51, 4.97it/s]
Current R2: 0.21571/Best R2: 0.21571: 5%|▌ | 269/5000 [00:47<15:51, 4.97it/s]
Current R2: 0.21571/Best R2: 0.21571: 5%|▌ | 270/5000 [00:47<14:37, 5.39it/s]
Current R2: 0.21573/Best R2: 0.21573: 5%|▌ | 270/5000 [00:47<14:37, 5.39it/s]
Current R2: 0.21573/Best R2: 0.21573: 5%|▌ | 271/5000 [00:47<14:10, 5.56it/s]
Current R2: 0.21575/Best R2: 0.21575: 5%|▌ | 271/5000 [00:47<14:10, 5.56it/s]
Current R2: 0.21575/Best R2: 0.21575: 5%|▌ | 272/5000 [00:47<14:07, 5.58it/s]
Current R2: 0.21577/Best R2: 0.21577: 5%|▌ | 272/5000 [00:47<14:07, 5.58it/s]
Current R2: 0.21577/Best R2: 0.21577: 5%|▌ | 273/5000 [00:47<15:50, 4.97it/s]
Current R2: 0.21579/Best R2: 0.21579: 5%|▌ | 273/5000 [00:48<15:50, 4.97it/s]
Current R2: 0.21579/Best R2: 0.21579: 5%|▌ | 274/5000 [00:48<18:33, 4.24it/s]
Current R2: 0.21582/Best R2: 0.21582: 5%|▌ | 274/5000 [00:48<18:33, 4.24it/s]
Current R2: 0.21582/Best R2: 0.21582: 6%|▌ | 275/5000 [00:48<17:53, 4.40it/s]
Current R2: 0.21584/Best R2: 0.21584: 6%|▌ | 275/5000 [00:48<17:53, 4.40it/s]
Current R2: 0.21584/Best R2: 0.21584: 6%|▌ | 276/5000 [00:48<16:21, 4.81it/s]
Current R2: 0.21586/Best R2: 0.21586: 6%|▌ | 276/5000 [00:48<16:21, 4.81it/s]
Current R2: 0.21586/Best R2: 0.21586: 6%|▌ | 277/5000 [00:48<14:47, 5.32it/s]
Current R2: 0.21588/Best R2: 0.21588: 6%|▌ | 277/5000 [00:48<14:47, 5.32it/s]
Current R2: 0.21588/Best R2: 0.21588: 6%|▌ | 278/5000 [00:48<13:55, 5.65it/s]
Current R2: 0.21590/Best R2: 0.21590: 6%|▌ | 278/5000 [00:48<13:55, 5.65it/s]
Current R2: 0.21590/Best R2: 0.21590: 6%|▌ | 279/5000 [00:48<13:18, 5.91it/s]
Current R2: 0.21592/Best R2: 0.21592: 6%|▌ | 279/5000 [00:49<13:18, 5.91it/s]
Current R2: 0.21592/Best R2: 0.21592: 6%|▌ | 280/5000 [00:49<13:15, 5.93it/s]
Current R2: 0.21594/Best R2: 0.21594: 6%|▌ | 280/5000 [00:49<13:15, 5.93it/s]
Current R2: 0.21594/Best R2: 0.21594: 6%|▌ | 281/5000 [00:49<13:11, 5.96it/s]
Current R2: 0.21596/Best R2: 0.21596: 6%|▌ | 281/5000 [00:49<13:11, 5.96it/s]
Current R2: 0.21596/Best R2: 0.21596: 6%|▌ | 282/5000 [00:49<12:52, 6.11it/s]
Current R2: 0.21598/Best R2: 0.21598: 6%|▌ | 282/5000 [00:49<12:52, 6.11it/s]
Current R2: 0.21598/Best R2: 0.21598: 6%|▌ | 283/5000 [00:49<13:00, 6.04it/s]
Current R2: 0.21599/Best R2: 0.21599: 6%|▌ | 283/5000 [00:49<13:00, 6.04it/s]
Current R2: 0.21599/Best R2: 0.21599: 6%|▌ | 284/5000 [00:49<13:56, 5.64it/s]
Current R2: 0.21601/Best R2: 0.21601: 6%|▌ | 284/5000 [00:49<13:56, 5.64it/s]
Current R2: 0.21601/Best R2: 0.21601: 6%|▌ | 285/5000 [00:49<14:07, 5.56it/s]
Current R2: 0.21603/Best R2: 0.21603: 6%|▌ | 285/5000 [00:50<14:07, 5.56it/s]
Current R2: 0.21603/Best R2: 0.21603: 6%|▌ | 286/5000 [00:50<15:37, 5.03it/s]
Current R2: 0.21605/Best R2: 0.21605: 6%|▌ | 286/5000 [00:50<15:37, 5.03it/s]
Current R2: 0.21605/Best R2: 0.21605: 6%|▌ | 287/5000 [00:50<14:55, 5.26it/s]
Current R2: 0.21607/Best R2: 0.21607: 6%|▌ | 287/5000 [00:50<14:55, 5.26it/s]
Current R2: 0.21607/Best R2: 0.21607: 6%|▌ | 288/5000 [00:50<15:20, 5.12it/s]
Current R2: 0.21609/Best R2: 0.21609: 6%|▌ | 288/5000 [00:50<15:20, 5.12it/s]
Current R2: 0.21609/Best R2: 0.21609: 6%|▌ | 289/5000 [00:50<14:14, 5.51it/s]
Current R2: 0.21611/Best R2: 0.21611: 6%|▌ | 289/5000 [00:50<14:14, 5.51it/s]
Current R2: 0.21611/Best R2: 0.21611: 6%|▌ | 290/5000 [00:50<13:56, 5.63it/s]
Current R2: 0.21613/Best R2: 0.21613: 6%|▌ | 290/5000 [00:51<13:56, 5.63it/s]
Current R2: 0.21613/Best R2: 0.21613: 6%|▌ | 291/5000 [00:51<15:07, 5.19it/s]
Current R2: 0.21615/Best R2: 0.21615: 6%|▌ | 291/5000 [00:51<15:07, 5.19it/s]
Current R2: 0.21615/Best R2: 0.21615: 6%|▌ | 292/5000 [00:51<17:50, 4.40it/s]
Current R2: 0.21617/Best R2: 0.21617: 6%|▌ | 292/5000 [00:51<17:50, 4.40it/s]
Current R2: 0.21617/Best R2: 0.21617: 6%|▌ | 293/5000 [00:51<18:32, 4.23it/s]
Current R2: 0.21619/Best R2: 0.21619: 6%|▌ | 293/5000 [00:51<18:32, 4.23it/s]
Current R2: 0.21619/Best R2: 0.21619: 6%|▌ | 294/5000 [00:51<17:27, 4.49it/s]
Current R2: 0.21621/Best R2: 0.21621: 6%|▌ | 294/5000 [00:52<17:27, 4.49it/s]
Current R2: 0.21621/Best R2: 0.21621: 6%|▌ | 295/5000 [00:52<18:45, 4.18it/s]
Current R2: 0.21622/Best R2: 0.21622: 6%|▌ | 295/5000 [00:52<18:45, 4.18it/s]
Current R2: 0.21622/Best R2: 0.21622: 6%|▌ | 296/5000 [00:52<19:50, 3.95it/s]
Current R2: 0.21624/Best R2: 0.21624: 6%|▌ | 296/5000 [00:52<19:50, 3.95it/s]
Current R2: 0.21624/Best R2: 0.21624: 6%|▌ | 297/5000 [00:52<22:08, 3.54it/s]
Current R2: 0.21626/Best R2: 0.21626: 6%|▌ | 297/5000 [00:52<22:08, 3.54it/s]
Current R2: 0.21626/Best R2: 0.21626: 6%|▌ | 298/5000 [00:52<19:13, 4.08it/s]
Current R2: 0.21628/Best R2: 0.21628: 6%|▌ | 298/5000 [00:53<19:13, 4.08it/s]
Current R2: 0.21628/Best R2: 0.21628: 6%|▌ | 299/5000 [00:53<17:48, 4.40it/s]
Current R2: 0.21630/Best R2: 0.21630: 6%|▌ | 299/5000 [00:53<17:48, 4.40it/s]
Current R2: 0.21630/Best R2: 0.21630: 6%|▌ | 300/5000 [00:53<15:49, 4.95it/s]
Current R2: 0.21632/Best R2: 0.21632: 6%|▌ | 300/5000 [00:53<15:49, 4.95it/s]
Current R2: 0.21632/Best R2: 0.21632: 6%|▌ | 301/5000 [00:53<14:19, 5.47it/s]
Current R2: 0.21633/Best R2: 0.21633: 6%|▌ | 301/5000 [00:53<14:19, 5.47it/s]
Current R2: 0.21633/Best R2: 0.21633: 6%|▌ | 302/5000 [00:53<13:23, 5.85it/s]
Current R2: 0.21635/Best R2: 0.21635: 6%|▌ | 302/5000 [00:53<13:23, 5.85it/s]
Current R2: 0.21635/Best R2: 0.21635: 6%|▌ | 303/5000 [00:53<12:47, 6.12it/s]
Current R2: 0.21637/Best R2: 0.21637: 6%|▌ | 303/5000 [00:53<12:47, 6.12it/s]
Current R2: 0.21637/Best R2: 0.21637: 6%|▌ | 304/5000 [00:53<11:47, 6.64it/s]
Current R2: 0.21639/Best R2: 0.21639: 6%|▌ | 304/5000 [00:53<11:47, 6.64it/s]
Current R2: 0.21639/Best R2: 0.21639: 6%|▌ | 305/5000 [00:53<11:04, 7.07it/s]
Current R2: 0.21641/Best R2: 0.21641: 6%|▌ | 305/5000 [00:54<11:04, 7.07it/s]
Current R2: 0.21641/Best R2: 0.21641: 6%|▌ | 306/5000 [00:54<10:55, 7.16it/s]
Current R2: 0.21642/Best R2: 0.21642: 6%|▌ | 306/5000 [00:54<10:55, 7.16it/s]
Current R2: 0.21642/Best R2: 0.21642: 6%|▌ | 307/5000 [00:54<10:37, 7.36it/s]
Current R2: 0.21644/Best R2: 0.21644: 6%|▌ | 307/5000 [00:54<10:37, 7.36it/s]
Current R2: 0.21644/Best R2: 0.21644: 6%|▌ | 308/5000 [00:54<10:12, 7.66it/s]
Current R2: 0.21646/Best R2: 0.21646: 6%|▌ | 308/5000 [00:54<10:12, 7.66it/s]
Current R2: 0.21648/Best R2: 0.21648: 6%|▌ | 308/5000 [00:54<10:12, 7.66it/s]
Current R2: 0.21648/Best R2: 0.21648: 6%|▌ | 310/5000 [00:54<09:09, 8.53it/s]
Current R2: 0.21650/Best R2: 0.21650: 6%|▌ | 310/5000 [00:54<09:09, 8.53it/s]
Current R2: 0.21650/Best R2: 0.21650: 6%|▌ | 311/5000 [00:54<08:52, 8.81it/s]
Current R2: 0.21651/Best R2: 0.21651: 6%|▌ | 311/5000 [00:54<08:52, 8.81it/s]
Current R2: 0.21651/Best R2: 0.21651: 6%|▌ | 312/5000 [00:54<09:00, 8.68it/s]
Current R2: 0.21653/Best R2: 0.21653: 6%|▌ | 312/5000 [00:54<09:00, 8.68it/s]
Current R2: 0.21653/Best R2: 0.21653: 6%|▋ | 313/5000 [00:54<09:25, 8.29it/s]
Current R2: 0.21655/Best R2: 0.21655: 6%|▋ | 313/5000 [00:54<09:25, 8.29it/s]
Current R2: 0.21655/Best R2: 0.21655: 6%|▋ | 314/5000 [00:54<09:34, 8.16it/s]
Current R2: 0.21657/Best R2: 0.21657: 6%|▋ | 314/5000 [00:55<09:34, 8.16it/s]
Current R2: 0.21657/Best R2: 0.21657: 6%|▋ | 315/5000 [00:55<10:20, 7.55it/s]
Current R2: 0.21658/Best R2: 0.21658: 6%|▋ | 315/5000 [00:55<10:20, 7.55it/s]
Current R2: 0.21658/Best R2: 0.21658: 6%|▋ | 316/5000 [00:55<09:45, 8.00it/s]
Current R2: 0.21660/Best R2: 0.21660: 6%|▋ | 316/5000 [00:55<09:45, 8.00it/s]
Current R2: 0.21660/Best R2: 0.21660: 6%|▋ | 317/5000 [00:55<10:46, 7.24it/s]
Current R2: 0.21662/Best R2: 0.21662: 6%|▋ | 317/5000 [00:55<10:46, 7.24it/s]
Current R2: 0.21662/Best R2: 0.21662: 6%|▋ | 318/5000 [00:55<11:28, 6.80it/s]
Current R2: 0.21663/Best R2: 0.21663: 6%|▋ | 318/5000 [00:55<11:28, 6.80it/s]
Current R2: 0.21663/Best R2: 0.21663: 6%|▋ | 319/5000 [00:55<10:34, 7.38it/s]
Current R2: 0.21665/Best R2: 0.21665: 6%|▋ | 319/5000 [00:55<10:34, 7.38it/s]
Current R2: 0.21665/Best R2: 0.21665: 6%|▋ | 320/5000 [00:55<09:48, 7.96it/s]
Current R2: 0.21667/Best R2: 0.21667: 6%|▋ | 320/5000 [00:55<09:48, 7.96it/s]
Current R2: 0.21667/Best R2: 0.21667: 6%|▋ | 321/5000 [00:55<09:23, 8.30it/s]
Current R2: 0.21668/Best R2: 0.21668: 6%|▋ | 321/5000 [00:55<09:23, 8.30it/s]
Current R2: 0.21668/Best R2: 0.21668: 6%|▋ | 322/5000 [00:55<09:17, 8.40it/s]
Current R2: 0.21670/Best R2: 0.21670: 6%|▋ | 322/5000 [00:56<09:17, 8.40it/s]
Current R2: 0.21670/Best R2: 0.21670: 6%|▋ | 323/5000 [00:56<09:20, 8.34it/s]
Current R2: 0.21672/Best R2: 0.21672: 6%|▋ | 323/5000 [00:56<09:20, 8.34it/s]
Current R2: 0.21672/Best R2: 0.21672: 6%|▋ | 324/5000 [00:56<08:56, 8.72it/s]
Current R2: 0.21673/Best R2: 0.21673: 6%|▋ | 324/5000 [00:56<08:56, 8.72it/s]
Current R2: 0.21673/Best R2: 0.21673: 6%|▋ | 325/5000 [00:56<08:46, 8.88it/s]
Current R2: 0.21675/Best R2: 0.21675: 6%|▋ | 325/5000 [00:56<08:46, 8.88it/s]
Current R2: 0.21675/Best R2: 0.21675: 7%|▋ | 326/5000 [00:56<08:33, 9.09it/s]
Current R2: 0.21677/Best R2: 0.21677: 7%|▋ | 326/5000 [00:56<08:33, 9.09it/s]
Current R2: 0.21677/Best R2: 0.21677: 7%|▋ | 327/5000 [00:56<08:23, 9.28it/s]
Current R2: 0.21678/Best R2: 0.21678: 7%|▋ | 327/5000 [00:56<08:23, 9.28it/s]
Current R2: 0.21678/Best R2: 0.21678: 7%|▋ | 328/5000 [00:56<08:13, 9.47it/s]
Current R2: 0.21680/Best R2: 0.21680: 7%|▋ | 328/5000 [00:56<08:13, 9.47it/s]
Current R2: 0.21680/Best R2: 0.21680: 7%|▋ | 329/5000 [00:56<08:12, 9.48it/s]
Current R2: 0.21682/Best R2: 0.21682: 7%|▋ | 329/5000 [00:56<08:12, 9.48it/s]
Current R2: 0.21682/Best R2: 0.21682: 7%|▋ | 330/5000 [00:56<08:06, 9.59it/s]
Current R2: 0.21683/Best R2: 0.21683: 7%|▋ | 330/5000 [00:56<08:06, 9.59it/s]
Current R2: 0.21683/Best R2: 0.21683: 7%|▋ | 331/5000 [00:56<08:13, 9.46it/s]
Current R2: 0.21685/Best R2: 0.21685: 7%|▋ | 331/5000 [00:57<08:13, 9.46it/s]
Current R2: 0.21686/Best R2: 0.21686: 7%|▋ | 331/5000 [00:57<08:13, 9.46it/s]
Current R2: 0.21686/Best R2: 0.21686: 7%|▋ | 333/5000 [00:57<08:07, 9.58it/s]
Current R2: 0.21688/Best R2: 0.21688: 7%|▋ | 333/5000 [00:57<08:07, 9.58it/s]
Current R2: 0.21688/Best R2: 0.21688: 7%|▋ | 334/5000 [00:57<08:21, 9.30it/s]
Current R2: 0.21690/Best R2: 0.21690: 7%|▋ | 334/5000 [00:57<08:21, 9.30it/s]
Current R2: 0.21690/Best R2: 0.21690: 7%|▋ | 335/5000 [00:57<08:12, 9.47it/s]
Current R2: 0.21691/Best R2: 0.21691: 7%|▋ | 335/5000 [00:57<08:12, 9.47it/s]
Current R2: 0.21691/Best R2: 0.21691: 7%|▋ | 336/5000 [00:57<08:08, 9.55it/s]
Current R2: 0.21693/Best R2: 0.21693: 7%|▋ | 336/5000 [00:57<08:08, 9.55it/s]
Current R2: 0.21693/Best R2: 0.21693: 7%|▋ | 337/5000 [00:57<08:19, 9.34it/s]
Current R2: 0.21694/Best R2: 0.21694: 7%|▋ | 337/5000 [00:57<08:19, 9.34it/s]
Current R2: 0.21694/Best R2: 0.21694: 7%|▋ | 338/5000 [00:57<08:33, 9.08it/s]
Current R2: 0.21696/Best R2: 0.21696: 7%|▋ | 338/5000 [00:57<08:33, 9.08it/s]
Current R2: 0.21696/Best R2: 0.21696: 7%|▋ | 339/5000 [00:57<08:47, 8.84it/s]
Current R2: 0.21697/Best R2: 0.21697: 7%|▋ | 339/5000 [00:57<08:47, 8.84it/s]
Current R2: 0.21697/Best R2: 0.21697: 7%|▋ | 340/5000 [00:57<08:37, 9.01it/s]
Current R2: 0.21699/Best R2: 0.21699: 7%|▋ | 340/5000 [00:58<08:37, 9.01it/s]
Current R2: 0.21699/Best R2: 0.21699: 7%|▋ | 341/5000 [00:58<08:34, 9.06it/s]
Current R2: 0.21701/Best R2: 0.21701: 7%|▋ | 341/5000 [00:58<08:34, 9.06it/s]
Current R2: 0.21701/Best R2: 0.21701: 7%|▋ | 342/5000 [00:58<09:42, 8.00it/s]
Current R2: 0.21702/Best R2: 0.21702: 7%|▋ | 342/5000 [00:58<09:42, 8.00it/s]
Current R2: 0.21702/Best R2: 0.21702: 7%|▋ | 343/5000 [00:58<09:34, 8.10it/s]
Current R2: 0.21704/Best R2: 0.21704: 7%|▋ | 343/5000 [00:58<09:34, 8.10it/s]
Current R2: 0.21704/Best R2: 0.21704: 7%|▋ | 344/5000 [00:58<09:21, 8.30it/s]
Current R2: 0.21705/Best R2: 0.21705: 7%|▋ | 344/5000 [00:58<09:21, 8.30it/s]
Current R2: 0.21705/Best R2: 0.21705: 7%|▋ | 345/5000 [00:58<09:09, 8.47it/s]
Current R2: 0.21707/Best R2: 0.21707: 7%|▋ | 345/5000 [00:58<09:09, 8.47it/s]
Current R2: 0.21707/Best R2: 0.21707: 7%|▋ | 346/5000 [00:58<09:07, 8.50it/s]
Current R2: 0.21708/Best R2: 0.21708: 7%|▋ | 346/5000 [00:58<09:07, 8.50it/s]
Current R2: 0.21708/Best R2: 0.21708: 7%|▋ | 347/5000 [00:58<08:50, 8.77it/s]
Current R2: 0.21710/Best R2: 0.21710: 7%|▋ | 347/5000 [00:58<08:50, 8.77it/s]
Current R2: 0.21710/Best R2: 0.21710: 7%|▋ | 348/5000 [00:58<09:45, 7.94it/s]
Current R2: 0.21711/Best R2: 0.21711: 7%|▋ | 348/5000 [00:59<09:45, 7.94it/s]
Current R2: 0.21711/Best R2: 0.21711: 7%|▋ | 349/5000 [00:59<09:35, 8.09it/s]
Current R2: 0.21713/Best R2: 0.21713: 7%|▋ | 349/5000 [00:59<09:35, 8.09it/s]
Current R2: 0.21713/Best R2: 0.21713: 7%|▋ | 350/5000 [00:59<09:44, 7.96it/s]
Current R2: 0.21714/Best R2: 0.21714: 7%|▋ | 350/5000 [00:59<09:44, 7.96it/s]
Current R2: 0.21714/Best R2: 0.21714: 7%|▋ | 351/5000 [00:59<10:07, 7.65it/s]
Current R2: 0.21716/Best R2: 0.21716: 7%|▋ | 351/5000 [00:59<10:07, 7.65it/s]
Current R2: 0.21716/Best R2: 0.21716: 7%|▋ | 352/5000 [00:59<09:57, 7.78it/s]
Current R2: 0.21717/Best R2: 0.21717: 7%|▋ | 352/5000 [00:59<09:57, 7.78it/s]
Current R2: 0.21717/Best R2: 0.21717: 7%|▋ | 353/5000 [00:59<09:36, 8.06it/s]
Current R2: 0.21718/Best R2: 0.21718: 7%|▋ | 353/5000 [00:59<09:36, 8.06it/s]
Current R2: 0.21720/Best R2: 0.21720: 7%|▋ | 353/5000 [00:59<09:36, 8.06it/s]
Current R2: 0.21720/Best R2: 0.21720: 7%|▋ | 355/5000 [00:59<08:48, 8.79it/s]
Current R2: 0.21721/Best R2: 0.21721: 7%|▋ | 355/5000 [00:59<08:48, 8.79it/s]
Current R2: 0.21721/Best R2: 0.21721: 7%|▋ | 356/5000 [00:59<08:36, 9.00it/s]
Current R2: 0.21723/Best R2: 0.21723: 7%|▋ | 356/5000 [00:59<08:36, 9.00it/s]
Current R2: 0.21723/Best R2: 0.21723: 7%|▋ | 357/5000 [00:59<08:45, 8.83it/s]
Current R2: 0.21724/Best R2: 0.21724: 7%|▋ | 357/5000 [01:00<08:45, 8.83it/s]
Current R2: 0.21724/Best R2: 0.21724: 7%|▋ | 358/5000 [01:00<09:04, 8.52it/s]
Current R2: 0.21726/Best R2: 0.21726: 7%|▋ | 358/5000 [01:00<09:04, 8.52it/s]
Current R2: 0.21726/Best R2: 0.21726: 7%|▋ | 359/5000 [01:00<09:14, 8.37it/s]
Current R2: 0.21727/Best R2: 0.21727: 7%|▋ | 359/5000 [01:00<09:14, 8.37it/s]
Current R2: 0.21727/Best R2: 0.21727: 7%|▋ | 360/5000 [01:00<09:15, 8.35it/s]
Current R2: 0.21728/Best R2: 0.21728: 7%|▋ | 360/5000 [01:00<09:15, 8.35it/s]
Current R2: 0.21728/Best R2: 0.21728: 7%|▋ | 361/5000 [01:00<10:03, 7.68it/s]
Current R2: 0.21730/Best R2: 0.21730: 7%|▋ | 361/5000 [01:00<10:03, 7.68it/s]
Current R2: 0.21730/Best R2: 0.21730: 7%|▋ | 362/5000 [01:00<09:45, 7.92it/s]
Current R2: 0.21731/Best R2: 0.21731: 7%|▋ | 362/5000 [01:00<09:45, 7.92it/s]
Current R2: 0.21731/Best R2: 0.21731: 7%|▋ | 363/5000 [01:00<09:15, 8.35it/s]
Current R2: 0.21732/Best R2: 0.21732: 7%|▋ | 363/5000 [01:00<09:15, 8.35it/s]
Current R2: 0.21732/Best R2: 0.21732: 7%|▋ | 364/5000 [01:00<08:53, 8.69it/s]
Current R2: 0.21734/Best R2: 0.21734: 7%|▋ | 364/5000 [01:00<08:53, 8.69it/s]
Current R2: 0.21734/Best R2: 0.21734: 7%|▋ | 365/5000 [01:00<08:48, 8.77it/s]
Current R2: 0.21735/Best R2: 0.21735: 7%|▋ | 365/5000 [01:01<08:48, 8.77it/s]
Current R2: 0.21735/Best R2: 0.21735: 7%|▋ | 366/5000 [01:01<08:37, 8.96it/s]
Current R2: 0.21736/Best R2: 0.21736: 7%|▋ | 366/5000 [01:01<08:37, 8.96it/s]
Current R2: 0.21736/Best R2: 0.21736: 7%|▋ | 367/5000 [01:01<08:34, 9.01it/s]
Current R2: 0.21738/Best R2: 0.21738: 7%|▋ | 367/5000 [01:01<08:34, 9.01it/s]
Current R2: 0.21738/Best R2: 0.21738: 7%|▋ | 368/5000 [01:01<08:28, 9.11it/s]
Current R2: 0.21739/Best R2: 0.21739: 7%|▋ | 368/5000 [01:01<08:28, 9.11it/s]
Current R2: 0.21739/Best R2: 0.21739: 7%|▋ | 369/5000 [01:01<09:22, 8.23it/s]
Current R2: 0.21740/Best R2: 0.21740: 7%|▋ | 369/5000 [01:01<09:22, 8.23it/s]
Current R2: 0.21742/Best R2: 0.21742: 7%|▋ | 369/5000 [01:01<09:22, 8.23it/s]
Current R2: 0.21742/Best R2: 0.21742: 7%|▋ | 371/5000 [01:01<08:35, 8.97it/s]
Current R2: 0.21743/Best R2: 0.21743: 7%|▋ | 371/5000 [01:01<08:35, 8.97it/s]
Current R2: 0.21743/Best R2: 0.21743: 7%|▋ | 372/5000 [01:01<09:01, 8.54it/s]
Current R2: 0.21744/Best R2: 0.21744: 7%|▋ | 372/5000 [01:01<09:01, 8.54it/s]
Current R2: 0.21744/Best R2: 0.21744: 7%|▋ | 373/5000 [01:01<09:18, 8.28it/s]
Current R2: 0.21745/Best R2: 0.21745: 7%|▋ | 373/5000 [01:02<09:18, 8.28it/s]
Current R2: 0.21745/Best R2: 0.21745: 7%|▋ | 374/5000 [01:02<09:48, 7.86it/s]
Current R2: 0.21747/Best R2: 0.21747: 7%|▋ | 374/5000 [01:02<09:48, 7.86it/s]
Current R2: 0.21747/Best R2: 0.21747: 8%|▊ | 375/5000 [01:02<09:51, 7.82it/s]
Current R2: 0.21748/Best R2: 0.21748: 8%|▊ | 375/5000 [01:02<09:51, 7.82it/s]
Current R2: 0.21748/Best R2: 0.21748: 8%|▊ | 376/5000 [01:02<09:28, 8.13it/s]
Current R2: 0.21749/Best R2: 0.21749: 8%|▊ | 376/5000 [01:02<09:28, 8.13it/s]
Current R2: 0.21750/Best R2: 0.21750: 8%|▊ | 376/5000 [01:02<09:28, 8.13it/s]
Current R2: 0.21750/Best R2: 0.21750: 8%|▊ | 378/5000 [01:02<08:45, 8.80it/s]
Current R2: 0.21752/Best R2: 0.21752: 8%|▊ | 378/5000 [01:02<08:45, 8.80it/s]
Current R2: 0.21752/Best R2: 0.21752: 8%|▊ | 379/5000 [01:02<08:48, 8.74it/s]
Current R2: 0.21753/Best R2: 0.21753: 8%|▊ | 379/5000 [01:02<08:48, 8.74it/s]
Current R2: 0.21753/Best R2: 0.21753: 8%|▊ | 380/5000 [01:02<08:46, 8.77it/s]
Current R2: 0.21754/Best R2: 0.21754: 8%|▊ | 380/5000 [01:02<08:46, 8.77it/s]
Current R2: 0.21754/Best R2: 0.21754: 8%|▊ | 381/5000 [01:02<08:34, 8.98it/s]
Current R2: 0.21755/Best R2: 0.21755: 8%|▊ | 381/5000 [01:02<08:34, 8.98it/s]
Current R2: 0.21755/Best R2: 0.21755: 8%|▊ | 382/5000 [01:02<08:53, 8.66it/s]
Current R2: 0.21756/Best R2: 0.21756: 8%|▊ | 382/5000 [01:03<08:53, 8.66it/s]
Current R2: 0.21756/Best R2: 0.21756: 8%|▊ | 383/5000 [01:03<09:12, 8.36it/s]
Current R2: 0.21758/Best R2: 0.21758: 8%|▊ | 383/5000 [01:03<09:12, 8.36it/s]
Current R2: 0.21758/Best R2: 0.21758: 8%|▊ | 384/5000 [01:03<09:21, 8.22it/s]
Current R2: 0.21759/Best R2: 0.21759: 8%|▊ | 384/5000 [01:03<09:21, 8.22it/s]
Current R2: 0.21759/Best R2: 0.21759: 8%|▊ | 385/5000 [01:03<09:24, 8.18it/s]
Current R2: 0.21760/Best R2: 0.21760: 8%|▊ | 385/5000 [01:03<09:24, 8.18it/s]
Current R2: 0.21760/Best R2: 0.21760: 8%|▊ | 386/5000 [01:03<09:13, 8.33it/s]
Current R2: 0.21761/Best R2: 0.21761: 8%|▊ | 386/5000 [01:03<09:13, 8.33it/s]
Current R2: 0.21761/Best R2: 0.21761: 8%|▊ | 387/5000 [01:03<08:51, 8.67it/s]
Current R2: 0.21762/Best R2: 0.21762: 8%|▊ | 387/5000 [01:03<08:51, 8.67it/s]
Current R2: 0.21762/Best R2: 0.21762: 8%|▊ | 388/5000 [01:03<08:51, 8.67it/s]
Current R2: 0.21763/Best R2: 0.21763: 8%|▊ | 388/5000 [01:03<08:51, 8.67it/s]
Current R2: 0.21763/Best R2: 0.21763: 8%|▊ | 389/5000 [01:03<08:43, 8.81it/s]
Current R2: 0.21765/Best R2: 0.21765: 8%|▊ | 389/5000 [01:03<08:43, 8.81it/s]
Current R2: 0.21765/Best R2: 0.21765: 8%|▊ | 390/5000 [01:03<08:28, 9.07it/s]
Current R2: 0.21766/Best R2: 0.21766: 8%|▊ | 390/5000 [01:03<08:28, 9.07it/s]
Current R2: 0.21766/Best R2: 0.21766: 8%|▊ | 391/5000 [01:03<08:59, 8.54it/s]
Current R2: 0.21767/Best R2: 0.21767: 8%|▊ | 391/5000 [01:04<08:59, 8.54it/s]
Current R2: 0.21767/Best R2: 0.21767: 8%|▊ | 392/5000 [01:04<09:13, 8.32it/s]
Current R2: 0.21768/Best R2: 0.21768: 8%|▊ | 392/5000 [01:04<09:13, 8.32it/s]
Current R2: 0.21769/Best R2: 0.21769: 8%|▊ | 392/5000 [01:04<09:13, 8.32it/s]
Current R2: 0.21769/Best R2: 0.21769: 8%|▊ | 394/5000 [01:04<08:23, 9.14it/s]
Current R2: 0.21770/Best R2: 0.21770: 8%|▊ | 394/5000 [01:04<08:23, 9.14it/s]
Current R2: 0.21770/Best R2: 0.21770: 8%|▊ | 395/5000 [01:04<08:27, 9.08it/s]
Current R2: 0.21771/Best R2: 0.21771: 8%|▊ | 395/5000 [01:04<08:27, 9.08it/s]
Current R2: 0.21771/Best R2: 0.21771: 8%|▊ | 396/5000 [01:04<08:39, 8.86it/s]
Current R2: 0.21773/Best R2: 0.21773: 8%|▊ | 396/5000 [01:04<08:39, 8.86it/s]
Current R2: 0.21774/Best R2: 0.21774: 8%|▊ | 396/5000 [01:04<08:39, 8.86it/s]
Current R2: 0.21774/Best R2: 0.21774: 8%|▊ | 398/5000 [01:04<07:59, 9.60it/s]
Current R2: 0.21775/Best R2: 0.21775: 8%|▊ | 398/5000 [01:04<07:59, 9.60it/s]
Current R2: 0.21776/Best R2: 0.21776: 8%|▊ | 398/5000 [01:04<07:59, 9.60it/s]
Current R2: 0.21776/Best R2: 0.21776: 8%|▊ | 400/5000 [01:04<07:35, 10.10it/s]
Current R2: 0.21777/Best R2: 0.21777: 8%|▊ | 400/5000 [01:04<07:35, 10.10it/s]
Current R2: 0.21778/Best R2: 0.21778: 8%|▊ | 400/5000 [01:05<07:35, 10.10it/s]
Current R2: 0.21778/Best R2: 0.21778: 8%|▊ | 402/5000 [01:05<07:41, 9.97it/s]
Current R2: 0.21779/Best R2: 0.21779: 8%|▊ | 402/5000 [01:05<07:41, 9.97it/s]
Current R2: 0.21780/Best R2: 0.21780: 8%|▊ | 402/5000 [01:05<07:41, 9.97it/s]
Current R2: 0.21780/Best R2: 0.21780: 8%|▊ | 404/5000 [01:05<07:37, 10.05it/s]
Current R2: 0.21781/Best R2: 0.21781: 8%|▊ | 404/5000 [01:05<07:37, 10.05it/s]
Current R2: 0.21781/Best R2: 0.21781: 8%|▊ | 405/5000 [01:05<07:39, 10.00it/s]
Current R2: 0.21782/Best R2: 0.21782: 8%|▊ | 405/5000 [01:05<07:39, 10.00it/s]
Current R2: 0.21783/Best R2: 0.21783: 8%|▊ | 405/5000 [01:05<07:39, 10.00it/s]
Current R2: 0.21783/Best R2: 0.21783: 8%|▊ | 407/5000 [01:05<07:30, 10.19it/s]
Current R2: 0.21784/Best R2: 0.21784: 8%|▊ | 407/5000 [01:05<07:30, 10.19it/s]
Current R2: 0.21785/Best R2: 0.21785: 8%|▊ | 407/5000 [01:05<07:30, 10.19it/s]
Current R2: 0.21785/Best R2: 0.21785: 8%|▊ | 409/5000 [01:05<07:33, 10.12it/s]
Current R2: 0.21786/Best R2: 0.21786: 8%|▊ | 409/5000 [01:05<07:33, 10.12it/s]
Current R2: 0.21787/Best R2: 0.21787: 8%|▊ | 409/5000 [01:06<07:33, 10.12it/s]
Current R2: 0.21787/Best R2: 0.21787: 8%|▊ | 411/5000 [01:06<07:44, 9.88it/s]
Current R2: 0.21788/Best R2: 0.21788: 8%|▊ | 411/5000 [01:06<07:44, 9.88it/s]
Current R2: 0.21789/Best R2: 0.21789: 8%|▊ | 411/5000 [01:06<07:44, 9.88it/s]
Current R2: 0.21789/Best R2: 0.21789: 8%|▊ | 413/5000 [01:06<07:53, 9.70it/s]
Current R2: 0.21790/Best R2: 0.21790: 8%|▊ | 413/5000 [01:06<07:53, 9.70it/s]
Current R2: 0.21790/Best R2: 0.21790: 8%|▊ | 414/5000 [01:06<07:53, 9.68it/s]
Current R2: 0.21791/Best R2: 0.21791: 8%|▊ | 414/5000 [01:06<07:53, 9.68it/s]
Current R2: 0.21792/Best R2: 0.21792: 8%|▊ | 414/5000 [01:06<07:53, 9.68it/s]
Current R2: 0.21792/Best R2: 0.21792: 8%|▊ | 416/5000 [01:06<07:50, 9.74it/s]
Current R2: 0.21793/Best R2: 0.21793: 8%|▊ | 416/5000 [01:06<07:50, 9.74it/s]
Current R2: 0.21794/Best R2: 0.21794: 8%|▊ | 416/5000 [01:06<07:50, 9.74it/s]
Current R2: 0.21794/Best R2: 0.21794: 8%|▊ | 418/5000 [01:06<07:35, 10.07it/s]
Current R2: 0.21795/Best R2: 0.21795: 8%|▊ | 418/5000 [01:06<07:35, 10.07it/s]
Current R2: 0.21796/Best R2: 0.21796: 8%|▊ | 418/5000 [01:06<07:35, 10.07it/s]
Current R2: 0.21796/Best R2: 0.21796: 8%|▊ | 420/5000 [01:06<07:20, 10.40it/s]
Current R2: 0.21797/Best R2: 0.21797: 8%|▊ | 420/5000 [01:06<07:20, 10.40it/s]
Current R2: 0.21798/Best R2: 0.21798: 8%|▊ | 420/5000 [01:07<07:20, 10.40it/s]
Current R2: 0.21798/Best R2: 0.21798: 8%|▊ | 422/5000 [01:07<07:13, 10.56it/s]
Current R2: 0.21799/Best R2: 0.21799: 8%|▊ | 422/5000 [01:07<07:13, 10.56it/s]
Current R2: 0.21800/Best R2: 0.21800: 8%|▊ | 422/5000 [01:07<07:13, 10.56it/s]
Current R2: 0.21800/Best R2: 0.21800: 8%|▊ | 424/5000 [01:07<08:12, 9.29it/s]
Current R2: 0.21801/Best R2: 0.21801: 8%|▊ | 424/5000 [01:07<08:12, 9.29it/s]
Current R2: 0.21802/Best R2: 0.21802: 8%|▊ | 424/5000 [01:07<08:12, 9.29it/s]
Current R2: 0.21802/Best R2: 0.21802: 9%|▊ | 426/5000 [01:07<07:50, 9.72it/s]
Current R2: 0.21803/Best R2: 0.21803: 9%|▊ | 426/5000 [01:07<07:50, 9.72it/s]
Current R2: 0.21803/Best R2: 0.21803: 9%|▊ | 427/5000 [01:07<07:58, 9.55it/s]
Current R2: 0.21803/Best R2: 0.21804: 9%|▊ | 427/5000 [01:07<07:58, 9.55it/s]
Current R2: 0.21804/Best R2: 0.21804: 9%|▊ | 427/5000 [01:07<07:58, 9.55it/s]
Current R2: 0.21804/Best R2: 0.21804: 9%|▊ | 429/5000 [01:07<07:56, 9.60it/s]
Current R2: 0.21805/Best R2: 0.21805: 9%|▊ | 429/5000 [01:07<07:56, 9.60it/s]
Current R2: 0.21806/Best R2: 0.21806: 9%|▊ | 429/5000 [01:08<07:56, 9.60it/s]
Current R2: 0.21806/Best R2: 0.21806: 9%|▊ | 431/5000 [01:08<07:46, 9.79it/s]
Current R2: 0.21807/Best R2: 0.21807: 9%|▊ | 431/5000 [01:08<07:46, 9.79it/s]
Current R2: 0.21808/Best R2: 0.21808: 9%|▊ | 431/5000 [01:08<07:46, 9.79it/s]
Current R2: 0.21808/Best R2: 0.21808: 9%|▊ | 433/5000 [01:08<07:33, 10.06it/s]
Current R2: 0.21809/Best R2: 0.21809: 9%|▊ | 433/5000 [01:08<07:33, 10.06it/s]
Current R2: 0.21810/Best R2: 0.21810: 9%|▊ | 433/5000 [01:08<07:33, 10.06it/s]
Current R2: 0.21810/Best R2: 0.21810: 9%|▊ | 435/5000 [01:08<08:05, 9.41it/s]
Current R2: 0.21810/Best R2: 0.21810: 9%|▊ | 435/5000 [01:08<08:05, 9.41it/s]
Current R2: 0.21810/Best R2: 0.21810: 9%|▊ | 436/5000 [01:08<08:08, 9.33it/s]
Current R2: 0.21811/Best R2: 0.21811: 9%|▊ | 436/5000 [01:08<08:08, 9.33it/s]
Current R2: 0.21811/Best R2: 0.21811: 9%|▊ | 437/5000 [01:08<08:04, 9.42it/s]
Current R2: 0.21812/Best R2: 0.21812: 9%|▊ | 437/5000 [01:08<08:04, 9.42it/s]
Current R2: 0.21813/Best R2: 0.21813: 9%|▊ | 437/5000 [01:08<08:04, 9.42it/s]
Current R2: 0.21813/Best R2: 0.21813: 9%|▉ | 439/5000 [01:08<07:47, 9.76it/s]
Current R2: 0.21814/Best R2: 0.21814: 9%|▉ | 439/5000 [01:08<07:47, 9.76it/s]
Current R2: 0.21815/Best R2: 0.21815: 9%|▉ | 439/5000 [01:09<07:47, 9.76it/s]
Current R2: 0.21815/Best R2: 0.21815: 9%|▉ | 441/5000 [01:09<07:39, 9.92it/s]
Current R2: 0.21815/Best R2: 0.21815: 9%|▉ | 441/5000 [01:09<07:39, 9.92it/s]
Current R2: 0.21816/Best R2: 0.21816: 9%|▉ | 441/5000 [01:09<07:39, 9.92it/s]
Current R2: 0.21816/Best R2: 0.21816: 9%|▉ | 443/5000 [01:09<07:26, 10.21it/s]
Current R2: 0.21817/Best R2: 0.21817: 9%|▉ | 443/5000 [01:09<07:26, 10.21it/s]
Current R2: 0.21818/Best R2: 0.21818: 9%|▉ | 443/5000 [01:09<07:26, 10.21it/s]
Current R2: 0.21818/Best R2: 0.21818: 9%|▉ | 445/5000 [01:09<07:26, 10.19it/s]
Current R2: 0.21819/Best R2: 0.21819: 9%|▉ | 445/5000 [01:09<07:26, 10.19it/s]
Current R2: 0.21819/Best R2: 0.21819: 9%|▉ | 445/5000 [01:09<07:26, 10.19it/s]
Current R2: 0.21819/Best R2: 0.21819: 9%|▉ | 447/5000 [01:09<07:15, 10.45it/s]
Current R2: 0.21820/Best R2: 0.21820: 9%|▉ | 447/5000 [01:09<07:15, 10.45it/s]
Current R2: 0.21821/Best R2: 0.21821: 9%|▉ | 447/5000 [01:09<07:15, 10.45it/s]
Current R2: 0.21821/Best R2: 0.21821: 9%|▉ | 449/5000 [01:09<07:10, 10.57it/s]
Current R2: 0.21822/Best R2: 0.21822: 9%|▉ | 449/5000 [01:09<07:10, 10.57it/s]
Current R2: 0.21822/Best R2: 0.21822: 9%|▉ | 449/5000 [01:09<07:10, 10.57it/s]
Current R2: 0.21822/Best R2: 0.21822: 9%|▉ | 451/5000 [01:09<07:01, 10.79it/s]
Current R2: 0.21823/Best R2: 0.21823: 9%|▉ | 451/5000 [01:10<07:01, 10.79it/s]
Current R2: 0.21824/Best R2: 0.21824: 9%|▉ | 451/5000 [01:10<07:01, 10.79it/s]
Current R2: 0.21824/Best R2: 0.21824: 9%|▉ | 453/5000 [01:10<06:59, 10.83it/s]
Current R2: 0.21825/Best R2: 0.21825: 9%|▉ | 453/5000 [01:10<06:59, 10.83it/s]
Current R2: 0.21825/Best R2: 0.21825: 9%|▉ | 453/5000 [01:10<06:59, 10.83it/s]
Current R2: 0.21825/Best R2: 0.21825: 9%|▉ | 455/5000 [01:10<06:49, 11.09it/s]
Current R2: 0.21826/Best R2: 0.21826: 9%|▉ | 455/5000 [01:10<06:49, 11.09it/s]
Current R2: 0.21827/Best R2: 0.21827: 9%|▉ | 455/5000 [01:10<06:49, 11.09it/s]
Current R2: 0.21827/Best R2: 0.21827: 9%|▉ | 457/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21828/Best R2: 0.21828: 9%|▉ | 457/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21828/Best R2: 0.21828: 9%|▉ | 457/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21828/Best R2: 0.21828: 9%|▉ | 459/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21829/Best R2: 0.21829: 9%|▉ | 459/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21830/Best R2: 0.21830: 9%|▉ | 459/5000 [01:10<06:51, 11.03it/s]
Current R2: 0.21830/Best R2: 0.21830: 9%|▉ | 461/5000 [01:10<07:12, 10.49it/s]
Current R2: 0.21831/Best R2: 0.21831: 9%|▉ | 461/5000 [01:11<07:12, 10.49it/s]
Current R2: 0.21831/Best R2: 0.21831: 9%|▉ | 461/5000 [01:11<07:12, 10.49it/s]
Current R2: 0.21831/Best R2: 0.21831: 9%|▉ | 463/5000 [01:11<07:09, 10.57it/s]
Current R2: 0.21832/Best R2: 0.21832: 9%|▉ | 463/5000 [01:11<07:09, 10.57it/s]
Current R2: 0.21833/Best R2: 0.21833: 9%|▉ | 463/5000 [01:11<07:09, 10.57it/s]
Current R2: 0.21833/Best R2: 0.21833: 9%|▉ | 465/5000 [01:11<07:00, 10.79it/s]
Current R2: 0.21833/Best R2: 0.21833: 9%|▉ | 465/5000 [01:11<07:00, 10.79it/s]
Current R2: 0.21834/Best R2: 0.21834: 9%|▉ | 465/5000 [01:11<07:00, 10.79it/s]
Current R2: 0.21834/Best R2: 0.21834: 9%|▉ | 467/5000 [01:11<06:56, 10.90it/s]
Current R2: 0.21835/Best R2: 0.21835: 9%|▉ | 467/5000 [01:11<06:56, 10.90it/s]
Current R2: 0.21835/Best R2: 0.21835: 9%|▉ | 467/5000 [01:11<06:56, 10.90it/s]
Current R2: 0.21835/Best R2: 0.21835: 9%|▉ | 469/5000 [01:11<07:03, 10.70it/s]
Current R2: 0.21836/Best R2: 0.21836: 9%|▉ | 469/5000 [01:11<07:03, 10.70it/s]
Current R2: 0.21837/Best R2: 0.21837: 9%|▉ | 469/5000 [01:11<07:03, 10.70it/s]
Current R2: 0.21837/Best R2: 0.21837: 9%|▉ | 471/5000 [01:11<07:04, 10.67it/s]
Current R2: 0.21838/Best R2: 0.21838: 9%|▉ | 471/5000 [01:11<07:04, 10.67it/s]
Current R2: 0.21838/Best R2: 0.21838: 9%|▉ | 471/5000 [01:12<07:04, 10.67it/s]
Current R2: 0.21838/Best R2: 0.21838: 9%|▉ | 473/5000 [01:12<07:07, 10.59it/s]
Current R2: 0.21839/Best R2: 0.21839: 9%|▉ | 473/5000 [01:12<07:07, 10.59it/s]
Current R2: 0.21840/Best R2: 0.21840: 9%|▉ | 473/5000 [01:12<07:07, 10.59it/s]
Current R2: 0.21840/Best R2: 0.21840: 10%|▉ | 475/5000 [01:12<06:58, 10.81it/s]
Current R2: 0.21840/Best R2: 0.21840: 10%|▉ | 475/5000 [01:12<06:58, 10.81it/s]
Current R2: 0.21841/Best R2: 0.21841: 10%|▉ | 475/5000 [01:12<06:58, 10.81it/s]
Current R2: 0.21841/Best R2: 0.21841: 10%|▉ | 477/5000 [01:12<06:56, 10.86it/s]
Current R2: 0.21842/Best R2: 0.21842: 10%|▉ | 477/5000 [01:12<06:56, 10.86it/s]
Current R2: 0.21842/Best R2: 0.21842: 10%|▉ | 477/5000 [01:12<06:56, 10.86it/s]
Current R2: 0.21842/Best R2: 0.21842: 10%|▉ | 479/5000 [01:12<06:52, 10.95it/s]
Current R2: 0.21843/Best R2: 0.21843: 10%|▉ | 479/5000 [01:12<06:52, 10.95it/s]
Current R2: 0.21844/Best R2: 0.21844: 10%|▉ | 479/5000 [01:12<06:52, 10.95it/s]
Current R2: 0.21844/Best R2: 0.21844: 10%|▉ | 481/5000 [01:12<06:47, 11.08it/s]
Current R2: 0.21844/Best R2: 0.21844: 10%|▉ | 481/5000 [01:12<06:47, 11.08it/s]
Current R2: 0.21845/Best R2: 0.21845: 10%|▉ | 481/5000 [01:12<06:47, 11.08it/s]
Current R2: 0.21845/Best R2: 0.21845: 10%|▉ | 483/5000 [01:12<06:44, 11.15it/s]
Current R2: 0.21846/Best R2: 0.21846: 10%|▉ | 483/5000 [01:13<06:44, 11.15it/s]
Current R2: 0.21846/Best R2: 0.21846: 10%|▉ | 483/5000 [01:13<06:44, 11.15it/s]
Current R2: 0.21846/Best R2: 0.21846: 10%|▉ | 485/5000 [01:13<07:00, 10.74it/s]
Current R2: 0.21847/Best R2: 0.21847: 10%|▉ | 485/5000 [01:13<07:00, 10.74it/s]
Current R2: 0.21848/Best R2: 0.21848: 10%|▉ | 485/5000 [01:13<07:00, 10.74it/s]
Current R2: 0.21848/Best R2: 0.21848: 10%|▉ | 487/5000 [01:13<06:53, 10.90it/s]
Current R2: 0.21848/Best R2: 0.21848: 10%|▉ | 487/5000 [01:13<06:53, 10.90it/s]
Current R2: 0.21849/Best R2: 0.21849: 10%|▉ | 487/5000 [01:13<06:53, 10.90it/s]
Current R2: 0.21849/Best R2: 0.21849: 10%|▉ | 489/5000 [01:13<06:55, 10.86it/s]
Current R2: 0.21849/Best R2: 0.21849: 10%|▉ | 489/5000 [01:13<06:55, 10.86it/s]
Current R2: 0.21850/Best R2: 0.21850: 10%|▉ | 489/5000 [01:13<06:55, 10.86it/s]
Current R2: 0.21850/Best R2: 0.21850: 10%|▉ | 491/5000 [01:13<06:57, 10.80it/s]
Current R2: 0.21851/Best R2: 0.21851: 10%|▉ | 491/5000 [01:13<06:57, 10.80it/s]
Current R2: 0.21851/Best R2: 0.21851: 10%|▉ | 491/5000 [01:13<06:57, 10.80it/s]
Current R2: 0.21851/Best R2: 0.21851: 10%|▉ | 493/5000 [01:13<06:49, 11.02it/s]
Current R2: 0.21852/Best R2: 0.21852: 10%|▉ | 493/5000 [01:13<06:49, 11.02it/s]
Current R2: 0.21853/Best R2: 0.21853: 10%|▉ | 493/5000 [01:14<06:49, 11.02it/s]
Current R2: 0.21853/Best R2: 0.21853: 10%|▉ | 495/5000 [01:14<06:44, 11.14it/s]
Current R2: 0.21853/Best R2: 0.21853: 10%|▉ | 495/5000 [01:14<06:44, 11.14it/s]
Current R2: 0.21854/Best R2: 0.21854: 10%|▉ | 495/5000 [01:14<06:44, 11.14it/s]
Current R2: 0.21854/Best R2: 0.21854: 10%|▉ | 497/5000 [01:14<06:42, 11.20it/s]
Current R2: 0.21854/Best R2: 0.21854: 10%|▉ | 497/5000 [01:14<06:42, 11.20it/s]
Current R2: 0.21855/Best R2: 0.21855: 10%|▉ | 497/5000 [01:14<06:42, 11.20it/s]
Current R2: 0.21855/Best R2: 0.21855: 10%|▉ | 499/5000 [01:14<06:56, 10.80it/s]
Current R2: 0.21856/Best R2: 0.21856: 10%|▉ | 499/5000 [01:14<06:56, 10.80it/s]
Current R2: 0.21856/Best R2: 0.21856: 10%|▉ | 499/5000 [01:14<06:56, 10.80it/s]
Current R2: 0.21856/Best R2: 0.21856: 10%|█ | 501/5000 [01:14<07:10, 10.46it/s]
Current R2: 0.21857/Best R2: 0.21857: 10%|█ | 501/5000 [01:14<07:10, 10.46it/s]
Current R2: 0.21857/Best R2: 0.21857: 10%|█ | 501/5000 [01:14<07:10, 10.46it/s]
Current R2: 0.21857/Best R2: 0.21857: 10%|█ | 503/5000 [01:14<07:05, 10.56it/s]
Current R2: 0.21858/Best R2: 0.21858: 10%|█ | 503/5000 [01:14<07:05, 10.56it/s]
Current R2: 0.21858/Best R2: 0.21859: 10%|█ | 503/5000 [01:15<07:05, 10.56it/s]
Current R2: 0.21858/Best R2: 0.21859: 10%|█ | 505/5000 [01:15<07:13, 10.37it/s]
Current R2: 0.21859/Best R2: 0.21859: 10%|█ | 505/5000 [01:15<07:13, 10.37it/s]
Current R2: 0.21860/Best R2: 0.21860: 10%|█ | 505/5000 [01:15<07:13, 10.37it/s]
Current R2: 0.21860/Best R2: 0.21860: 10%|█ | 507/5000 [01:15<07:19, 10.23it/s]
Current R2: 0.21860/Best R2: 0.21860: 10%|█ | 507/5000 [01:15<07:19, 10.23it/s]
Current R2: 0.21861/Best R2: 0.21861: 10%|█ | 507/5000 [01:15<07:19, 10.23it/s]
Current R2: 0.21861/Best R2: 0.21861: 10%|█ | 509/5000 [01:15<07:28, 10.02it/s]
Current R2: 0.21861/Best R2: 0.21861: 10%|█ | 509/5000 [01:15<07:28, 10.02it/s]
Current R2: 0.21862/Best R2: 0.21862: 10%|█ | 509/5000 [01:15<07:28, 10.02it/s]
Current R2: 0.21862/Best R2: 0.21862: 10%|█ | 511/5000 [01:15<07:26, 10.05it/s]
Current R2: 0.21862/Best R2: 0.21863: 10%|█ | 511/5000 [01:15<07:26, 10.05it/s]
Current R2: 0.21863/Best R2: 0.21863: 10%|█ | 511/5000 [01:15<07:26, 10.05it/s]
Current R2: 0.21863/Best R2: 0.21863: 10%|█ | 513/5000 [01:15<07:21, 10.17it/s]
Current R2: 0.21864/Best R2: 0.21864: 10%|█ | 513/5000 [01:15<07:21, 10.17it/s]
Current R2: 0.21864/Best R2: 0.21864: 10%|█ | 513/5000 [01:15<07:21, 10.17it/s]
Current R2: 0.21864/Best R2: 0.21864: 10%|█ | 515/5000 [01:15<07:13, 10.35it/s]
Current R2: 0.21865/Best R2: 0.21865: 10%|█ | 515/5000 [01:16<07:13, 10.35it/s]
Current R2: 0.21865/Best R2: 0.21865: 10%|█ | 515/5000 [01:16<07:13, 10.35it/s]
Current R2: 0.21865/Best R2: 0.21865: 10%|█ | 517/5000 [01:16<07:07, 10.49it/s]
Current R2: 0.21866/Best R2: 0.21866: 10%|█ | 517/5000 [01:16<07:07, 10.49it/s]
Current R2: 0.21866/Best R2: 0.21866: 10%|█ | 517/5000 [01:16<07:07, 10.49it/s]
Current R2: 0.21866/Best R2: 0.21866: 10%|█ | 519/5000 [01:16<07:12, 10.37it/s]
Current R2: 0.21867/Best R2: 0.21867: 10%|█ | 519/5000 [01:16<07:12, 10.37it/s]
Current R2: 0.21867/Best R2: 0.21868: 10%|█ | 519/5000 [01:16<07:12, 10.37it/s]
Current R2: 0.21867/Best R2: 0.21868: 10%|█ | 521/5000 [01:16<07:03, 10.58it/s]
Current R2: 0.21868/Best R2: 0.21868: 10%|█ | 521/5000 [01:16<07:03, 10.58it/s]
Current R2: 0.21869/Best R2: 0.21869: 10%|█ | 521/5000 [01:16<07:03, 10.58it/s]
Current R2: 0.21869/Best R2: 0.21869: 10%|█ | 523/5000 [01:16<07:02, 10.61it/s]
Current R2: 0.21869/Best R2: 0.21869: 10%|█ | 523/5000 [01:16<07:02, 10.61it/s]
Current R2: 0.21870/Best R2: 0.21870: 10%|█ | 523/5000 [01:16<07:02, 10.61it/s]
Current R2: 0.21870/Best R2: 0.21870: 10%|█ | 525/5000 [01:16<07:02, 10.59it/s]
Current R2: 0.21870/Best R2: 0.21870: 10%|█ | 525/5000 [01:17<07:02, 10.59it/s]
Current R2: 0.21871/Best R2: 0.21871: 10%|█ | 525/5000 [01:17<07:02, 10.59it/s]
Current R2: 0.21871/Best R2: 0.21871: 11%|█ | 527/5000 [01:17<07:13, 10.31it/s]
Current R2: 0.21871/Best R2: 0.21871: 11%|█ | 527/5000 [01:17<07:13, 10.31it/s]
Current R2: 0.21872/Best R2: 0.21872: 11%|█ | 527/5000 [01:17<07:13, 10.31it/s]
Current R2: 0.21872/Best R2: 0.21872: 11%|█ | 529/5000 [01:17<07:16, 10.25it/s]
Current R2: 0.21872/Best R2: 0.21872: 11%|█ | 529/5000 [01:17<07:16, 10.25it/s]
Current R2: 0.21873/Best R2: 0.21873: 11%|█ | 529/5000 [01:17<07:16, 10.25it/s]
Current R2: 0.21873/Best R2: 0.21873: 11%|█ | 531/5000 [01:17<07:08, 10.43it/s]
Current R2: 0.21873/Best R2: 0.21873: 11%|█ | 531/5000 [01:17<07:08, 10.43it/s]
Current R2: 0.21874/Best R2: 0.21874: 11%|█ | 531/5000 [01:17<07:08, 10.43it/s]
Current R2: 0.21874/Best R2: 0.21874: 11%|█ | 533/5000 [01:17<07:01, 10.59it/s]
Current R2: 0.21874/Best R2: 0.21874: 11%|█ | 533/5000 [01:17<07:01, 10.59it/s]
Current R2: 0.21875/Best R2: 0.21875: 11%|█ | 533/5000 [01:17<07:01, 10.59it/s]
Current R2: 0.21875/Best R2: 0.21875: 11%|█ | 535/5000 [01:17<07:18, 10.17it/s]
Current R2: 0.21875/Best R2: 0.21875: 11%|█ | 535/5000 [01:18<07:18, 10.17it/s]
Current R2: 0.21876/Best R2: 0.21876: 11%|█ | 535/5000 [01:18<07:18, 10.17it/s]
Current R2: 0.21876/Best R2: 0.21876: 11%|█ | 537/5000 [01:18<07:19, 10.15it/s]
Current R2: 0.21876/Best R2: 0.21876: 11%|█ | 537/5000 [01:18<07:19, 10.15it/s]
Current R2: 0.21877/Best R2: 0.21877: 11%|█ | 537/5000 [01:18<07:19, 10.15it/s]
Current R2: 0.21877/Best R2: 0.21877: 11%|█ | 539/5000 [01:18<07:07, 10.42it/s]
Current R2: 0.21877/Best R2: 0.21877: 11%|█ | 539/5000 [01:18<07:07, 10.42it/s]
Current R2: 0.21878/Best R2: 0.21878: 11%|█ | 539/5000 [01:18<07:07, 10.42it/s]
Current R2: 0.21878/Best R2: 0.21878: 11%|█ | 541/5000 [01:18<07:03, 10.53it/s]
Current R2: 0.21878/Best R2: 0.21878: 11%|█ | 541/5000 [01:18<07:03, 10.53it/s]
Current R2: 0.21879/Best R2: 0.21879: 11%|█ | 541/5000 [01:18<07:03, 10.53it/s]
Current R2: 0.21879/Best R2: 0.21879: 11%|█ | 543/5000 [01:18<06:56, 10.71it/s]
Current R2: 0.21879/Best R2: 0.21879: 11%|█ | 543/5000 [01:18<06:56, 10.71it/s]
Current R2: 0.21880/Best R2: 0.21880: 11%|█ | 543/5000 [01:18<06:56, 10.71it/s]
Current R2: 0.21880/Best R2: 0.21880: 11%|█ | 545/5000 [01:18<06:56, 10.70it/s]
Current R2: 0.21880/Best R2: 0.21880: 11%|█ | 545/5000 [01:18<06:56, 10.70it/s]
Current R2: 0.21881/Best R2: 0.21881: 11%|█ | 545/5000 [01:19<06:56, 10.70it/s]
Current R2: 0.21881/Best R2: 0.21881: 11%|█ | 547/5000 [01:19<06:55, 10.72it/s]
Current R2: 0.21881/Best R2: 0.21881: 11%|█ | 547/5000 [01:19<06:55, 10.72it/s]
Current R2: 0.21882/Best R2: 0.21882: 11%|█ | 547/5000 [01:19<06:55, 10.72it/s]
Current R2: 0.21882/Best R2: 0.21882: 11%|█ | 549/5000 [01:19<07:06, 10.44it/s]
Current R2: 0.21882/Best R2: 0.21882: 11%|█ | 549/5000 [01:19<07:06, 10.44it/s]
Current R2: 0.21883/Best R2: 0.21883: 11%|█ | 549/5000 [01:19<07:06, 10.44it/s]
Current R2: 0.21883/Best R2: 0.21883: 11%|█ | 551/5000 [01:19<07:00, 10.58it/s]
Current R2: 0.21883/Best R2: 0.21883: 11%|█ | 551/5000 [01:19<07:00, 10.58it/s]
Current R2: 0.21884/Best R2: 0.21884: 11%|█ | 551/5000 [01:19<07:00, 10.58it/s]
Current R2: 0.21884/Best R2: 0.21884: 11%|█ | 553/5000 [01:19<06:47, 10.90it/s]
Current R2: 0.21884/Best R2: 0.21884: 11%|█ | 553/5000 [01:19<06:47, 10.90it/s]
Current R2: 0.21885/Best R2: 0.21885: 11%|█ | 553/5000 [01:19<06:47, 10.90it/s]
Current R2: 0.21885/Best R2: 0.21885: 11%|█ | 555/5000 [01:19<07:05, 10.44it/s]
Current R2: 0.21885/Best R2: 0.21885: 11%|█ | 555/5000 [01:19<07:05, 10.44it/s]
Current R2: 0.21885/Best R2: 0.21886: 11%|█ | 555/5000 [01:20<07:05, 10.44it/s]
Current R2: 0.21885/Best R2: 0.21886: 11%|█ | 557/5000 [01:20<07:59, 9.26it/s]
Current R2: 0.21886/Best R2: 0.21886: 11%|█ | 557/5000 [01:20<07:59, 9.26it/s]
Current R2: 0.21886/Best R2: 0.21886: 11%|█ | 558/5000 [01:20<07:54, 9.37it/s]
Current R2: 0.21886/Best R2: 0.21886: 11%|█ | 558/5000 [01:20<07:54, 9.37it/s]
Current R2: 0.21886/Best R2: 0.21886: 11%|█ | 559/5000 [01:20<07:52, 9.39it/s]
Current R2: 0.21887/Best R2: 0.21887: 11%|█ | 559/5000 [01:20<07:52, 9.39it/s]
Current R2: 0.21887/Best R2: 0.21887: 11%|█ | 559/5000 [01:20<07:52, 9.39it/s]
Current R2: 0.21887/Best R2: 0.21887: 11%|█ | 561/5000 [01:20<07:45, 9.53it/s]
Current R2: 0.21888/Best R2: 0.21888: 11%|█ | 561/5000 [01:20<07:45, 9.53it/s]
Current R2: 0.21888/Best R2: 0.21888: 11%|█ | 562/5000 [01:20<07:48, 9.46it/s]
Current R2: 0.21888/Best R2: 0.21888: 11%|█ | 562/5000 [01:20<07:48, 9.46it/s]
Current R2: 0.21888/Best R2: 0.21888: 11%|█ | 562/5000 [01:20<07:48, 9.46it/s]
Current R2: 0.21888/Best R2: 0.21888: 11%|█▏ | 564/5000 [01:20<07:42, 9.59it/s]
Current R2: 0.21889/Best R2: 0.21889: 11%|█▏ | 564/5000 [01:20<07:42, 9.59it/s]
Current R2: 0.21889/Best R2: 0.21889: 11%|█▏ | 565/5000 [01:20<07:41, 9.60it/s]
Current R2: 0.21889/Best R2: 0.21889: 11%|█▏ | 565/5000 [01:21<07:41, 9.60it/s]
Current R2: 0.21889/Best R2: 0.21889: 11%|█▏ | 566/5000 [01:21<08:21, 8.84it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 566/5000 [01:21<08:21, 8.84it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 567/5000 [01:21<09:06, 8.10it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 567/5000 [01:21<09:06, 8.10it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 568/5000 [01:21<09:57, 7.42it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 568/5000 [01:21<09:57, 7.42it/s]
Current R2: 0.21890/Best R2: 0.21890: 11%|█▏ | 569/5000 [01:21<10:57, 6.74it/s]
Current R2: 0.21891/Best R2: 0.21891: 11%|█▏ | 569/5000 [01:21<10:57, 6.74it/s]
Current R2: 0.21891/Best R2: 0.21891: 11%|█▏ | 570/5000 [01:21<10:50, 6.81it/s]
Current R2: 0.21891/Best R2: 0.21891: 11%|█▏ | 570/5000 [01:21<10:50, 6.81it/s]
Current R2: 0.21891/Best R2: 0.21891: 11%|█▏ | 571/5000 [01:21<10:51, 6.80it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 571/5000 [01:22<10:51, 6.80it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 572/5000 [01:22<11:27, 6.44it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 572/5000 [01:22<11:27, 6.44it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 573/5000 [01:22<12:34, 5.86it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 573/5000 [01:22<12:34, 5.86it/s]
Current R2: 0.21892/Best R2: 0.21892: 11%|█▏ | 574/5000 [01:22<11:32, 6.39it/s]
Current R2: 0.21893/Best R2: 0.21893: 11%|█▏ | 574/5000 [01:22<11:32, 6.39it/s]
Current R2: 0.21893/Best R2: 0.21893: 12%|█▏ | 575/5000 [01:22<10:49, 6.81it/s]
Current R2: 0.21893/Best R2: 0.21893: 12%|█▏ | 575/5000 [01:22<10:49, 6.81it/s]
Current R2: 0.21893/Best R2: 0.21893: 12%|█▏ | 576/5000 [01:22<10:35, 6.96it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 576/5000 [01:22<10:35, 6.96it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 577/5000 [01:22<09:57, 7.41it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 577/5000 [01:22<09:57, 7.41it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 578/5000 [01:22<09:27, 7.79it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 578/5000 [01:22<09:27, 7.79it/s]
Current R2: 0.21894/Best R2: 0.21894: 12%|█▏ | 579/5000 [01:22<09:22, 7.87it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 579/5000 [01:23<09:22, 7.87it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 580/5000 [01:23<09:07, 8.07it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 580/5000 [01:23<09:07, 8.07it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 581/5000 [01:23<09:06, 8.09it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 581/5000 [01:23<09:06, 8.09it/s]
Current R2: 0.21895/Best R2: 0.21895: 12%|█▏ | 582/5000 [01:23<08:38, 8.52it/s]
Current R2: 0.21896/Best R2: 0.21896: 12%|█▏ | 582/5000 [01:23<08:38, 8.52it/s]
Current R2: 0.21896/Best R2: 0.21896: 12%|█▏ | 582/5000 [01:23<08:38, 8.52it/s]
Current R2: 0.21896/Best R2: 0.21896: 12%|█▏ | 584/5000 [01:23<07:39, 9.61it/s]
Current R2: 0.21897/Best R2: 0.21897: 12%|█▏ | 584/5000 [01:23<07:39, 9.61it/s]
Current R2: 0.21897/Best R2: 0.21897: 12%|█▏ | 584/5000 [01:23<07:39, 9.61it/s]
Current R2: 0.21897/Best R2: 0.21897: 12%|█▏ | 586/5000 [01:23<07:33, 9.74it/s]
Current R2: 0.21897/Best R2: 0.21897: 12%|█▏ | 586/5000 [01:23<07:33, 9.74it/s]
Current R2: 0.21897/Best R2: 0.21897: 12%|█▏ | 587/5000 [01:23<07:37, 9.65it/s]
Current R2: 0.21898/Best R2: 0.21898: 12%|█▏ | 587/5000 [01:23<07:37, 9.65it/s]
Current R2: 0.21898/Best R2: 0.21898: 12%|█▏ | 588/5000 [01:23<07:34, 9.71it/s]
Current R2: 0.21898/Best R2: 0.21898: 12%|█▏ | 588/5000 [01:23<07:34, 9.71it/s]
Current R2: 0.21898/Best R2: 0.21898: 12%|█▏ | 589/5000 [01:23<07:35, 9.68it/s]
Current R2: 0.21898/Best R2: 0.21898: 12%|█▏ | 589/5000 [01:24<07:35, 9.68it/s]
Current R2: 0.21899/Best R2: 0.21899: 12%|█▏ | 589/5000 [01:24<07:35, 9.68it/s]
Current R2: 0.21899/Best R2: 0.21899: 12%|█▏ | 591/5000 [01:24<07:06, 10.33it/s]
Current R2: 0.21899/Best R2: 0.21899: 12%|█▏ | 591/5000 [01:24<07:06, 10.33it/s]
Current R2: 0.21899/Best R2: 0.21900: 12%|█▏ | 591/5000 [01:24<07:06, 10.33it/s]
Current R2: 0.21899/Best R2: 0.21900: 12%|█▏ | 593/5000 [01:24<07:10, 10.23it/s]
Current R2: 0.21900/Best R2: 0.21900: 12%|█▏ | 593/5000 [01:24<07:10, 10.23it/s]
Current R2: 0.21900/Best R2: 0.21900: 12%|█▏ | 593/5000 [01:24<07:10, 10.23it/s]
Current R2: 0.21900/Best R2: 0.21900: 12%|█▏ | 595/5000 [01:24<07:14, 10.13it/s]
Current R2: 0.21900/Best R2: 0.21901: 12%|█▏ | 595/5000 [01:24<07:14, 10.13it/s]
Current R2: 0.21901/Best R2: 0.21901: 12%|█▏ | 595/5000 [01:24<07:14, 10.13it/s]
Current R2: 0.21901/Best R2: 0.21901: 12%|█▏ | 597/5000 [01:24<07:07, 10.30it/s]
Current R2: 0.21901/Best R2: 0.21901: 12%|█▏ | 597/5000 [01:24<07:07, 10.30it/s]
Current R2: 0.21902/Best R2: 0.21902: 12%|█▏ | 597/5000 [01:24<07:07, 10.30it/s]
Current R2: 0.21902/Best R2: 0.21902: 12%|█▏ | 599/5000 [01:24<06:56, 10.57it/s]
Current R2: 0.21902/Best R2: 0.21902: 12%|█▏ | 599/5000 [01:25<06:56, 10.57it/s]
Current R2: 0.21902/Best R2: 0.21902: 12%|█▏ | 599/5000 [01:25<06:56, 10.57it/s]
Current R2: 0.21902/Best R2: 0.21902: 12%|█▏ | 601/5000 [01:25<06:50, 10.73it/s]
Current R2: 0.21903/Best R2: 0.21903: 12%|█▏ | 601/5000 [01:25<06:50, 10.73it/s]
Current R2: 0.21903/Best R2: 0.21903: 12%|█▏ | 601/5000 [01:25<06:50, 10.73it/s]
Current R2: 0.21903/Best R2: 0.21903: 12%|█▏ | 603/5000 [01:25<06:52, 10.66it/s]
Current R2: 0.21903/Best R2: 0.21903: 12%|█▏ | 603/5000 [01:25<06:52, 10.66it/s]
Current R2: 0.21904/Best R2: 0.21904: 12%|█▏ | 603/5000 [01:25<06:52, 10.66it/s]
Current R2: 0.21904/Best R2: 0.21904: 12%|█▏ | 605/5000 [01:25<06:59, 10.47it/s]
Current R2: 0.21904/Best R2: 0.21904: 12%|█▏ | 605/5000 [01:25<06:59, 10.47it/s]
Current R2: 0.21904/Best R2: 0.21904: 12%|█▏ | 605/5000 [01:25<06:59, 10.47it/s]
Current R2: 0.21904/Best R2: 0.21904: 12%|█▏ | 607/5000 [01:25<07:13, 10.13it/s]
Current R2: 0.21905/Best R2: 0.21905: 12%|█▏ | 607/5000 [01:25<07:13, 10.13it/s]
Current R2: 0.21905/Best R2: 0.21905: 12%|█▏ | 607/5000 [01:25<07:13, 10.13it/s]
Current R2: 0.21905/Best R2: 0.21905: 12%|█▏ | 609/5000 [01:25<07:00, 10.44it/s]
Current R2: 0.21905/Best R2: 0.21905: 12%|█▏ | 609/5000 [01:25<07:00, 10.44it/s]
Current R2: 0.21906/Best R2: 0.21906: 12%|█▏ | 609/5000 [01:26<07:00, 10.44it/s]
Current R2: 0.21906/Best R2: 0.21906: 12%|█▏ | 611/5000 [01:26<06:52, 10.64it/s]
Current R2: 0.21906/Best R2: 0.21906: 12%|█▏ | 611/5000 [01:26<06:52, 10.64it/s]
Current R2: 0.21906/Best R2: 0.21906: 12%|█▏ | 611/5000 [01:26<06:52, 10.64it/s]
Current R2: 0.21906/Best R2: 0.21906: 12%|█▏ | 613/5000 [01:26<06:45, 10.83it/s]
Current R2: 0.21907/Best R2: 0.21907: 12%|█▏ | 613/5000 [01:26<06:45, 10.83it/s]
Current R2: 0.21907/Best R2: 0.21907: 12%|█▏ | 613/5000 [01:26<06:45, 10.83it/s]
Current R2: 0.21907/Best R2: 0.21907: 12%|█▏ | 615/5000 [01:26<07:32, 9.69it/s]
Current R2: 0.21907/Best R2: 0.21907: 12%|█▏ | 615/5000 [01:26<07:32, 9.69it/s]
Current R2: 0.21907/Best R2: 0.21907: 12%|█▏ | 616/5000 [01:26<07:32, 9.69it/s]
Current R2: 0.21907/Best R2: 0.21908: 12%|█▏ | 616/5000 [01:26<07:32, 9.69it/s]
Current R2: 0.21908/Best R2: 0.21908: 12%|█▏ | 616/5000 [01:26<07:32, 9.69it/s]
Current R2: 0.21908/Best R2: 0.21908: 12%|█▏ | 618/5000 [01:26<07:19, 9.96it/s]
Current R2: 0.21908/Best R2: 0.21908: 12%|█▏ | 618/5000 [01:26<07:19, 9.96it/s]
Current R2: 0.21908/Best R2: 0.21908: 12%|█▏ | 618/5000 [01:27<07:19, 9.96it/s]
Current R2: 0.21908/Best R2: 0.21908: 12%|█▏ | 620/5000 [01:27<08:14, 8.86it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 620/5000 [01:27<08:14, 8.86it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 621/5000 [01:27<10:04, 7.25it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 621/5000 [01:27<10:04, 7.25it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 622/5000 [01:27<10:01, 7.28it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 622/5000 [01:27<10:01, 7.28it/s]
Current R2: 0.21909/Best R2: 0.21909: 12%|█▏ | 623/5000 [01:27<09:53, 7.38it/s]
Current R2: 0.21910/Best R2: 0.21910: 12%|█▏ | 623/5000 [01:27<09:53, 7.38it/s]
Current R2: 0.21910/Best R2: 0.21910: 12%|█▏ | 624/5000 [01:27<09:27, 7.71it/s]
Current R2: 0.21910/Best R2: 0.21910: 12%|█▏ | 624/5000 [01:27<09:27, 7.71it/s]
Current R2: 0.21910/Best R2: 0.21910: 12%|█▎ | 625/5000 [01:27<09:09, 7.97it/s]
Current R2: 0.21910/Best R2: 0.21910: 12%|█▎ | 625/5000 [01:27<09:09, 7.97it/s]
Current R2: 0.21910/Best R2: 0.21910: 13%|█▎ | 626/5000 [01:27<09:30, 7.66it/s]
Current R2: 0.21910/Best R2: 0.21911: 13%|█▎ | 626/5000 [01:28<09:30, 7.66it/s]
Current R2: 0.21910/Best R2: 0.21911: 13%|█▎ | 627/5000 [01:28<11:00, 6.62it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 627/5000 [01:28<11:00, 6.62it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 628/5000 [01:28<10:00, 7.28it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 628/5000 [01:28<10:00, 7.28it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 629/5000 [01:28<12:00, 6.07it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 629/5000 [01:28<12:00, 6.07it/s]
Current R2: 0.21911/Best R2: 0.21911: 13%|█▎ | 630/5000 [01:28<11:08, 6.53it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 630/5000 [01:28<11:08, 6.53it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 631/5000 [01:28<10:12, 7.13it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 631/5000 [01:28<10:12, 7.13it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 632/5000 [01:28<09:34, 7.60it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 632/5000 [01:28<09:34, 7.60it/s]
Current R2: 0.21912/Best R2: 0.21912: 13%|█▎ | 633/5000 [01:28<09:14, 7.88it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 633/5000 [01:29<09:14, 7.88it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 634/5000 [01:29<08:52, 8.20it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 634/5000 [01:29<08:52, 8.20it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 635/5000 [01:29<08:38, 8.41it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 635/5000 [01:29<08:38, 8.41it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 636/5000 [01:29<08:48, 8.25it/s]
Current R2: 0.21913/Best R2: 0.21913: 13%|█▎ | 636/5000 [01:29<08:48, 8.25it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 636/5000 [01:29<08:48, 8.25it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 638/5000 [01:29<08:11, 8.87it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 638/5000 [01:29<08:11, 8.87it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 639/5000 [01:29<08:01, 9.06it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 639/5000 [01:29<08:01, 9.06it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 640/5000 [01:29<07:59, 9.09it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 640/5000 [01:29<07:59, 9.09it/s]
Current R2: 0.21914/Best R2: 0.21914: 13%|█▎ | 641/5000 [01:29<07:47, 9.31it/s]
Current R2: 0.21915/Best R2: 0.21915: 13%|█▎ | 641/5000 [01:29<07:47, 9.31it/s]
Current R2: 0.21915/Best R2: 0.21915: 13%|█▎ | 641/5000 [01:30<07:47, 9.31it/s]
Current R2: 0.21915/Best R2: 0.21915: 13%|█▎ | 643/5000 [01:30<07:35, 9.57it/s]
Current R2: 0.21915/Best R2: 0.21915: 13%|█▎ | 643/5000 [01:30<07:35, 9.57it/s]
Current R2: 0.21915/Best R2: 0.21915: 13%|█▎ | 644/5000 [01:30<07:44, 9.39it/s]
Current R2: 0.21915/Best R2: 0.21916: 13%|█▎ | 644/5000 [01:30<07:44, 9.39it/s]
Current R2: 0.21915/Best R2: 0.21916: 13%|█▎ | 645/5000 [01:30<07:53, 9.20it/s]
Current R2: 0.21916/Best R2: 0.21916: 13%|█▎ | 645/5000 [01:30<07:53, 9.20it/s]
Current R2: 0.21916/Best R2: 0.21916: 13%|█▎ | 646/5000 [01:30<07:57, 9.13it/s]
Current R2: 0.21916/Best R2: 0.21916: 13%|█▎ | 646/5000 [01:30<07:57, 9.13it/s]
Current R2: 0.21916/Best R2: 0.21916: 13%|█▎ | 646/5000 [01:30<07:57, 9.13it/s]
Current R2: 0.21916/Best R2: 0.21916: 13%|█▎ | 648/5000 [01:30<07:35, 9.55it/s]
Current R2: 0.21916/Best R2: 0.21917: 13%|█▎ | 648/5000 [01:30<07:35, 9.55it/s]
Current R2: 0.21917/Best R2: 0.21917: 13%|█▎ | 648/5000 [01:30<07:35, 9.55it/s]
Current R2: 0.21917/Best R2: 0.21917: 13%|█▎ | 650/5000 [01:30<07:05, 10.23it/s]
Current R2: 0.21917/Best R2: 0.21917: 13%|█▎ | 650/5000 [01:30<07:05, 10.23it/s]
Current R2: 0.21917/Best R2: 0.21917: 13%|█▎ | 650/5000 [01:30<07:05, 10.23it/s]
Current R2: 0.21917/Best R2: 0.21917: 13%|█▎ | 652/5000 [01:30<06:51, 10.58it/s]
Current R2: 0.21917/Best R2: 0.21918: 13%|█▎ | 652/5000 [01:31<06:51, 10.58it/s]
Current R2: 0.21918/Best R2: 0.21918: 13%|█▎ | 652/5000 [01:31<06:51, 10.58it/s]
Current R2: 0.21918/Best R2: 0.21918: 13%|█▎ | 654/5000 [01:31<06:50, 10.59it/s]
Current R2: 0.21918/Best R2: 0.21918: 13%|█▎ | 654/5000 [01:31<06:50, 10.59it/s]
Current R2: 0.21918/Best R2: 0.21918: 13%|█▎ | 654/5000 [01:31<06:50, 10.59it/s]
Current R2: 0.21918/Best R2: 0.21918: 13%|█▎ | 656/5000 [01:31<06:46, 10.69it/s]
Current R2: 0.21918/Best R2: 0.21919: 13%|█▎ | 656/5000 [01:31<06:46, 10.69it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 656/5000 [01:31<06:46, 10.69it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 658/5000 [01:31<06:49, 10.59it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 658/5000 [01:31<06:49, 10.59it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 658/5000 [01:31<06:49, 10.59it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 660/5000 [01:31<06:54, 10.48it/s]
Current R2: 0.21919/Best R2: 0.21919: 13%|█▎ | 660/5000 [01:31<06:54, 10.48it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 660/5000 [01:31<06:54, 10.48it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 662/5000 [01:31<07:01, 10.29it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 662/5000 [01:32<07:01, 10.29it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 662/5000 [01:32<07:01, 10.29it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 664/5000 [01:32<07:55, 9.11it/s]
Current R2: 0.21920/Best R2: 0.21920: 13%|█▎ | 664/5000 [01:32<07:55, 9.11it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 664/5000 [01:32<07:55, 9.11it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 666/5000 [01:32<07:32, 9.58it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 666/5000 [01:32<07:32, 9.58it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 667/5000 [01:32<07:32, 9.58it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 667/5000 [01:32<07:32, 9.58it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 668/5000 [01:32<07:39, 9.42it/s]
Current R2: 0.21921/Best R2: 0.21921: 13%|█▎ | 668/5000 [01:32<07:39, 9.42it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 668/5000 [01:32<07:39, 9.42it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 670/5000 [01:32<07:25, 9.71it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 670/5000 [01:32<07:25, 9.71it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 671/5000 [01:32<07:29, 9.62it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 671/5000 [01:32<07:29, 9.62it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 671/5000 [01:33<07:29, 9.62it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 673/5000 [01:33<07:05, 10.17it/s]
Current R2: 0.21922/Best R2: 0.21922: 13%|█▎ | 673/5000 [01:33<07:05, 10.17it/s]
Current R2: 0.21923/Best R2: 0.21923: 13%|█▎ | 673/5000 [01:33<07:05, 10.17it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 675/5000 [01:33<07:17, 9.88it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 675/5000 [01:33<07:17, 9.88it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 676/5000 [01:33<07:32, 9.55it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 676/5000 [01:33<07:32, 9.55it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 676/5000 [01:33<07:32, 9.55it/s]
Current R2: 0.21923/Best R2: 0.21923: 14%|█▎ | 678/5000 [01:33<07:08, 10.08it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 678/5000 [01:33<07:08, 10.08it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 678/5000 [01:33<07:08, 10.08it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 680/5000 [01:33<06:55, 10.39it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 680/5000 [01:33<06:55, 10.39it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 680/5000 [01:33<06:55, 10.39it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 682/5000 [01:33<06:47, 10.60it/s]
Current R2: 0.21924/Best R2: 0.21924: 14%|█▎ | 682/5000 [01:33<06:47, 10.60it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 682/5000 [01:34<06:47, 10.60it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 684/5000 [01:34<06:40, 10.77it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 684/5000 [01:34<06:40, 10.77it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 684/5000 [01:34<06:40, 10.77it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 686/5000 [01:34<06:41, 10.73it/s]
Current R2: 0.21925/Best R2: 0.21925: 14%|█▎ | 686/5000 [01:34<06:41, 10.73it/s]
Current R2: 0.21925/Best R2: 0.21926: 14%|█▎ | 686/5000 [01:34<06:41, 10.73it/s]
Current R2: 0.21925/Best R2: 0.21926: 14%|█▍ | 688/5000 [01:34<07:15, 9.91it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 688/5000 [01:34<07:15, 9.91it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 688/5000 [01:34<07:15, 9.91it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 690/5000 [01:34<08:08, 8.83it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 690/5000 [01:34<08:08, 8.83it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 691/5000 [01:34<08:10, 8.78it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 691/5000 [01:35<08:10, 8.78it/s]
Current R2: 0.21926/Best R2: 0.21926: 14%|█▍ | 692/5000 [01:35<10:16, 6.99it/s]
Current R2: 0.21926/Best R2: 0.21927: 14%|█▍ | 692/5000 [01:35<10:16, 6.99it/s]
Current R2: 0.21926/Best R2: 0.21927: 14%|█▍ | 693/5000 [01:35<10:10, 7.06it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 693/5000 [01:35<10:10, 7.06it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 694/5000 [01:35<09:55, 7.23it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 694/5000 [01:35<09:55, 7.23it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 695/5000 [01:35<09:35, 7.48it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 695/5000 [01:35<09:35, 7.48it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 696/5000 [01:35<09:25, 7.62it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 696/5000 [01:35<09:25, 7.62it/s]
Current R2: 0.21927/Best R2: 0.21927: 14%|█▍ | 697/5000 [01:35<08:50, 8.11it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 697/5000 [01:35<08:50, 8.11it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 698/5000 [01:35<08:30, 8.42it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 698/5000 [01:35<08:30, 8.42it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 698/5000 [01:36<08:30, 8.42it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 700/5000 [01:36<07:40, 9.34it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 700/5000 [01:36<07:40, 9.34it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 700/5000 [01:36<07:40, 9.34it/s]
Current R2: 0.21928/Best R2: 0.21928: 14%|█▍ | 702/5000 [01:36<07:16, 9.84it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 702/5000 [01:36<07:16, 9.84it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 702/5000 [01:36<07:16, 9.84it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 704/5000 [01:36<07:01, 10.19it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 704/5000 [01:36<07:01, 10.19it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 704/5000 [01:36<07:01, 10.19it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 706/5000 [01:36<08:52, 8.07it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 706/5000 [01:36<08:52, 8.07it/s]
Current R2: 0.21929/Best R2: 0.21929: 14%|█▍ | 707/5000 [01:36<10:06, 7.08it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 707/5000 [01:37<10:06, 7.08it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 708/5000 [01:37<09:48, 7.29it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 708/5000 [01:37<09:48, 7.29it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 709/5000 [01:37<09:13, 7.75it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 709/5000 [01:37<09:13, 7.75it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 710/5000 [01:37<09:01, 7.92it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 710/5000 [01:37<09:01, 7.92it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 710/5000 [01:37<09:01, 7.92it/s]
Current R2: 0.21930/Best R2: 0.21930: 14%|█▍ | 712/5000 [01:37<08:12, 8.70it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 712/5000 [01:37<08:12, 8.70it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 713/5000 [01:37<08:00, 8.93it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 713/5000 [01:37<08:00, 8.93it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 714/5000 [01:37<07:47, 9.17it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 714/5000 [01:37<07:47, 9.17it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 714/5000 [01:37<07:47, 9.17it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 716/5000 [01:37<07:48, 9.14it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 716/5000 [01:38<07:48, 9.14it/s]
Current R2: 0.21931/Best R2: 0.21931: 14%|█▍ | 717/5000 [01:38<10:06, 7.07it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 717/5000 [01:38<10:06, 7.07it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 718/5000 [01:38<10:50, 6.58it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 718/5000 [01:38<10:50, 6.58it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 719/5000 [01:38<10:32, 6.77it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 719/5000 [01:38<10:32, 6.77it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 720/5000 [01:38<10:09, 7.02it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 720/5000 [01:38<10:09, 7.02it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 721/5000 [01:38<09:29, 7.51it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 721/5000 [01:38<09:29, 7.51it/s]
Current R2: 0.21932/Best R2: 0.21932: 14%|█▍ | 722/5000 [01:38<09:04, 7.86it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 722/5000 [01:39<09:04, 7.86it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 723/5000 [01:39<11:16, 6.32it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 723/5000 [01:39<11:16, 6.32it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 724/5000 [01:39<10:10, 7.00it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 724/5000 [01:39<10:10, 7.00it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 725/5000 [01:39<09:26, 7.55it/s]
Current R2: 0.21933/Best R2: 0.21933: 14%|█▍ | 725/5000 [01:39<09:26, 7.55it/s]
Current R2: 0.21933/Best R2: 0.21933: 15%|█▍ | 726/5000 [01:39<08:45, 8.14it/s]
Current R2: 0.21933/Best R2: 0.21933: 15%|█▍ | 726/5000 [01:39<08:45, 8.14it/s]
Current R2: 0.21933/Best R2: 0.21933: 15%|█▍ | 727/5000 [01:39<08:34, 8.30it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 727/5000 [01:39<08:34, 8.30it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 727/5000 [01:39<08:34, 8.30it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 729/5000 [01:39<07:46, 9.15it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 729/5000 [01:39<07:46, 9.15it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 730/5000 [01:39<07:49, 9.10it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 730/5000 [01:39<07:49, 9.10it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 731/5000 [01:39<08:00, 8.88it/s]
Current R2: 0.21934/Best R2: 0.21934: 15%|█▍ | 731/5000 [01:40<08:00, 8.88it/s]
Current R2: 0.21934/Best R2: 0.21935: 15%|█▍ | 731/5000 [01:40<08:00, 8.88it/s]
Current R2: 0.21934/Best R2: 0.21935: 15%|█▍ | 733/5000 [01:40<07:29, 9.50it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 733/5000 [01:40<07:29, 9.50it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 733/5000 [01:40<07:29, 9.50it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 735/5000 [01:40<07:04, 10.05it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 735/5000 [01:40<07:04, 10.05it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 735/5000 [01:40<07:04, 10.05it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 737/5000 [01:40<06:45, 10.51it/s]
Current R2: 0.21935/Best R2: 0.21935: 15%|█▍ | 737/5000 [01:40<06:45, 10.51it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 737/5000 [01:40<06:45, 10.51it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 739/5000 [01:40<06:35, 10.77it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 739/5000 [01:40<06:35, 10.77it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 739/5000 [01:40<06:35, 10.77it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 741/5000 [01:40<06:40, 10.64it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 741/5000 [01:40<06:40, 10.64it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 741/5000 [01:41<06:40, 10.64it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 743/5000 [01:41<06:45, 10.51it/s]
Current R2: 0.21936/Best R2: 0.21936: 15%|█▍ | 743/5000 [01:41<06:45, 10.51it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 743/5000 [01:41<06:45, 10.51it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 745/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 745/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 745/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 747/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 747/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 747/5000 [01:41<06:54, 10.27it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 749/5000 [01:41<07:03, 10.03it/s]
Current R2: 0.21937/Best R2: 0.21937: 15%|█▍ | 749/5000 [01:41<07:03, 10.03it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▍ | 749/5000 [01:41<07:03, 10.03it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 751/5000 [01:41<07:15, 9.76it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 751/5000 [01:41<07:15, 9.76it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 751/5000 [01:42<07:15, 9.76it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 753/5000 [01:42<07:04, 10.01it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 753/5000 [01:42<07:04, 10.01it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 753/5000 [01:42<07:04, 10.01it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 755/5000 [01:42<06:59, 10.12it/s]
Current R2: 0.21938/Best R2: 0.21938: 15%|█▌ | 755/5000 [01:42<06:59, 10.12it/s]
Current R2: 0.21938/Best R2: 0.21939: 15%|█▌ | 755/5000 [01:42<06:59, 10.12it/s]
Current R2: 0.21938/Best R2: 0.21939: 15%|█▌ | 757/5000 [01:42<06:54, 10.25it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 757/5000 [01:42<06:54, 10.25it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 757/5000 [01:42<06:54, 10.25it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 759/5000 [01:42<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 759/5000 [01:42<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 759/5000 [01:42<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 761/5000 [01:42<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 761/5000 [01:42<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 761/5000 [01:43<06:49, 10.35it/s]
Current R2: 0.21939/Best R2: 0.21939: 15%|█▌ | 763/5000 [01:43<07:03, 10.00it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 763/5000 [01:43<07:03, 10.00it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 763/5000 [01:43<07:03, 10.00it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 765/5000 [01:43<06:57, 10.15it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 765/5000 [01:43<06:57, 10.15it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 765/5000 [01:43<06:57, 10.15it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 767/5000 [01:43<06:50, 10.32it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 767/5000 [01:43<06:50, 10.32it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 767/5000 [01:43<06:50, 10.32it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 769/5000 [01:43<06:41, 10.54it/s]
Current R2: 0.21940/Best R2: 0.21940: 15%|█▌ | 769/5000 [01:43<06:41, 10.54it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 769/5000 [01:43<06:41, 10.54it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 771/5000 [01:43<06:40, 10.57it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 771/5000 [01:43<06:40, 10.57it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 771/5000 [01:44<06:40, 10.57it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 773/5000 [01:44<06:43, 10.47it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 773/5000 [01:44<06:43, 10.47it/s]
Current R2: 0.21941/Best R2: 0.21941: 15%|█▌ | 773/5000 [01:44<06:43, 10.47it/s]
Current R2: 0.21941/Best R2: 0.21941: 16%|█▌ | 775/5000 [01:44<07:07, 9.87it/s]
Current R2: 0.21941/Best R2: 0.21941: 16%|█▌ | 775/5000 [01:44<07:07, 9.87it/s]
Current R2: 0.21941/Best R2: 0.21941: 16%|█▌ | 776/5000 [01:44<07:09, 9.83it/s]
Current R2: 0.21941/Best R2: 0.21941: 16%|█▌ | 776/5000 [01:44<07:09, 9.83it/s]
Current R2: 0.21941/Best R2: 0.21941: 16%|█▌ | 777/5000 [01:44<07:10, 9.82it/s]
Current R2: 0.21941/Best R2: 0.21942: 16%|█▌ | 777/5000 [01:44<07:10, 9.82it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 777/5000 [01:44<07:10, 9.82it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 779/5000 [01:44<06:53, 10.21it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 779/5000 [01:44<06:53, 10.21it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 779/5000 [01:44<06:53, 10.21it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 781/5000 [01:44<06:50, 10.27it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 781/5000 [01:44<06:50, 10.27it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 781/5000 [01:45<06:50, 10.27it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 783/5000 [01:45<07:31, 9.33it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 783/5000 [01:45<07:31, 9.33it/s]
Current R2: 0.21942/Best R2: 0.21942: 16%|█▌ | 784/5000 [01:45<07:52, 8.92it/s]
Current R2: 0.21942/Best R2: 0.21943: 16%|█▌ | 784/5000 [01:45<07:52, 8.92it/s]
Current R2: 0.21942/Best R2: 0.21943: 16%|█▌ | 785/5000 [01:45<08:10, 8.60it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 785/5000 [01:45<08:10, 8.60it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 786/5000 [01:45<08:16, 8.49it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 786/5000 [01:45<08:16, 8.49it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 787/5000 [01:45<08:39, 8.11it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 787/5000 [01:45<08:39, 8.11it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 787/5000 [01:45<08:39, 8.11it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 789/5000 [01:45<07:57, 8.81it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 789/5000 [01:45<07:57, 8.81it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 790/5000 [01:45<07:57, 8.81it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 790/5000 [01:46<07:57, 8.81it/s]
Current R2: 0.21943/Best R2: 0.21943: 16%|█▌ | 791/5000 [01:46<07:45, 9.04it/s]
Current R2: 0.21943/Best R2: 0.21944: 16%|█▌ | 791/5000 [01:46<07:45, 9.04it/s]
Current R2: 0.21943/Best R2: 0.21944: 16%|█▌ | 792/5000 [01:46<08:21, 8.39it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 792/5000 [01:46<08:21, 8.39it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 793/5000 [01:46<09:38, 7.27it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 793/5000 [01:46<09:38, 7.27it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 794/5000 [01:46<09:29, 7.39it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 794/5000 [01:46<09:29, 7.39it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 795/5000 [01:46<08:58, 7.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 795/5000 [01:46<08:58, 7.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 795/5000 [01:46<08:58, 7.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 797/5000 [01:46<07:57, 8.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 797/5000 [01:46<07:57, 8.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 797/5000 [01:46<07:57, 8.81it/s]
Current R2: 0.21944/Best R2: 0.21944: 16%|█▌ | 799/5000 [01:46<07:43, 9.07it/s]
Current R2: 0.21944/Best R2: 0.21945: 16%|█▌ | 799/5000 [01:47<07:43, 9.07it/s]
Current R2: 0.21944/Best R2: 0.21945: 16%|█▌ | 800/5000 [01:47<07:34, 9.23it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 800/5000 [01:47<07:34, 9.23it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 801/5000 [01:47<07:38, 9.16it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 801/5000 [01:47<07:38, 9.16it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 801/5000 [01:47<07:38, 9.16it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 803/5000 [01:47<07:06, 9.83it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 803/5000 [01:47<07:06, 9.83it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 804/5000 [01:47<07:11, 9.71it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 804/5000 [01:47<07:11, 9.71it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 804/5000 [01:47<07:11, 9.71it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 806/5000 [01:47<07:01, 9.94it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 806/5000 [01:47<07:01, 9.94it/s]
Current R2: 0.21945/Best R2: 0.21945: 16%|█▌ | 807/5000 [01:47<07:04, 9.89it/s]
Current R2: 0.21945/Best R2: 0.21946: 16%|█▌ | 807/5000 [01:47<07:04, 9.89it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 807/5000 [01:47<07:04, 9.89it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 809/5000 [01:47<06:55, 10.08it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 809/5000 [01:48<06:55, 10.08it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 809/5000 [01:48<06:55, 10.08it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 811/5000 [01:48<06:37, 10.54it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 811/5000 [01:48<06:37, 10.54it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▌ | 811/5000 [01:48<06:37, 10.54it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▋ | 813/5000 [01:48<07:14, 9.64it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▋ | 813/5000 [01:48<07:14, 9.64it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▋ | 814/5000 [01:48<07:14, 9.63it/s]
Current R2: 0.21946/Best R2: 0.21946: 16%|█▋ | 814/5000 [01:48<07:14, 9.63it/s]
Current R2: 0.21946/Best R2: 0.21947: 16%|█▋ | 814/5000 [01:48<07:14, 9.63it/s]
Current R2: 0.21946/Best R2: 0.21947: 16%|█▋ | 816/5000 [01:48<07:07, 9.79it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 816/5000 [01:48<07:07, 9.79it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 817/5000 [01:48<07:12, 9.67it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 817/5000 [01:48<07:12, 9.67it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 818/5000 [01:48<07:10, 9.71it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 818/5000 [01:49<07:10, 9.71it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 819/5000 [01:49<07:50, 8.89it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 819/5000 [01:49<07:50, 8.89it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 820/5000 [01:49<07:46, 8.96it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 820/5000 [01:49<07:46, 8.96it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 820/5000 [01:49<07:46, 8.96it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 822/5000 [01:49<07:20, 9.48it/s]
Current R2: 0.21947/Best R2: 0.21947: 16%|█▋ | 822/5000 [01:49<07:20, 9.48it/s]
Current R2: 0.21947/Best R2: 0.21948: 16%|█▋ | 822/5000 [01:49<07:20, 9.48it/s]
Current R2: 0.21947/Best R2: 0.21948: 16%|█▋ | 824/5000 [01:49<07:43, 9.01it/s]
Current R2: 0.21948/Best R2: 0.21948: 16%|█▋ | 824/5000 [01:49<07:43, 9.01it/s]
Current R2: 0.21948/Best R2: 0.21948: 16%|█▋ | 825/5000 [01:49<08:05, 8.61it/s]
Current R2: 0.21948/Best R2: 0.21948: 16%|█▋ | 825/5000 [01:49<08:05, 8.61it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 826/5000 [01:49<07:53, 8.82it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 826/5000 [01:49<07:53, 8.82it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 826/5000 [01:50<07:53, 8.82it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 828/5000 [01:50<07:33, 9.20it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 828/5000 [01:50<07:33, 9.20it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 829/5000 [01:50<07:26, 9.34it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 829/5000 [01:50<07:26, 9.34it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 830/5000 [01:50<07:38, 9.10it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 830/5000 [01:50<07:38, 9.10it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 830/5000 [01:50<07:38, 9.10it/s]
Current R2: 0.21948/Best R2: 0.21948: 17%|█▋ | 832/5000 [01:50<07:44, 8.98it/s]
Current R2: 0.21948/Best R2: 0.21949: 17%|█▋ | 832/5000 [01:50<07:44, 8.98it/s]
Current R2: 0.21948/Best R2: 0.21949: 17%|█▋ | 833/5000 [01:50<08:04, 8.60it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 833/5000 [01:50<08:04, 8.60it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 834/5000 [01:50<08:03, 8.62it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 834/5000 [01:50<08:03, 8.62it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 835/5000 [01:50<07:52, 8.81it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 835/5000 [01:50<07:52, 8.81it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 836/5000 [01:50<07:50, 8.85it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 836/5000 [01:51<07:50, 8.85it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 836/5000 [01:51<07:50, 8.85it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 838/5000 [01:51<07:55, 8.75it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 838/5000 [01:51<07:55, 8.75it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 839/5000 [01:51<07:49, 8.87it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 839/5000 [01:51<07:49, 8.87it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 840/5000 [01:51<08:02, 8.63it/s]
Current R2: 0.21949/Best R2: 0.21949: 17%|█▋ | 840/5000 [01:51<08:02, 8.63it/s]
Current R2: 0.21949/Best R2: 0.21950: 17%|█▋ | 840/5000 [01:51<08:02, 8.63it/s]
Current R2: 0.21949/Best R2: 0.21950: 17%|█▋ | 842/5000 [01:51<07:56, 8.73it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 842/5000 [01:51<07:56, 8.73it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 843/5000 [01:51<08:16, 8.38it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 843/5000 [01:51<08:16, 8.38it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 844/5000 [01:51<08:22, 8.27it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 844/5000 [01:52<08:22, 8.27it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 845/5000 [01:52<08:23, 8.26it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 845/5000 [01:52<08:23, 8.26it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 846/5000 [01:52<08:05, 8.55it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 846/5000 [01:52<08:05, 8.55it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 847/5000 [01:52<07:59, 8.66it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 847/5000 [01:52<07:59, 8.66it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 848/5000 [01:52<08:15, 8.38it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 848/5000 [01:52<08:15, 8.38it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 849/5000 [01:52<08:17, 8.34it/s]
Current R2: 0.21950/Best R2: 0.21950: 17%|█▋ | 849/5000 [01:52<08:17, 8.34it/s]
Current R2: 0.21950/Best R2: 0.21951: 17%|█▋ | 849/5000 [01:52<08:17, 8.34it/s]
Current R2: 0.21950/Best R2: 0.21951: 17%|█▋ | 851/5000 [01:52<07:42, 8.98it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 851/5000 [01:52<07:42, 8.98it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 852/5000 [01:52<07:33, 9.15it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 852/5000 [01:52<07:33, 9.15it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 853/5000 [01:52<07:38, 9.04it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 853/5000 [01:53<07:38, 9.04it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 854/5000 [01:53<07:42, 8.96it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 854/5000 [01:53<07:42, 8.96it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 855/5000 [01:53<08:32, 8.08it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 855/5000 [01:53<08:32, 8.08it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 856/5000 [01:53<08:25, 8.20it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 856/5000 [01:53<08:25, 8.20it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 856/5000 [01:53<08:25, 8.20it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 858/5000 [01:53<08:02, 8.58it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 858/5000 [01:53<08:02, 8.58it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 858/5000 [01:53<08:02, 8.58it/s]
Current R2: 0.21951/Best R2: 0.21951: 17%|█▋ | 860/5000 [01:53<07:45, 8.89it/s]
Current R2: 0.21951/Best R2: 0.21952: 17%|█▋ | 860/5000 [01:53<07:45, 8.89it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 860/5000 [01:53<07:45, 8.89it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 862/5000 [01:53<07:07, 9.68it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 862/5000 [01:54<07:07, 9.68it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 863/5000 [01:54<07:04, 9.74it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 863/5000 [01:54<07:04, 9.74it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 863/5000 [01:54<07:04, 9.74it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 865/5000 [01:54<06:49, 10.09it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 865/5000 [01:54<06:49, 10.09it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 865/5000 [01:54<06:49, 10.09it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 867/5000 [01:54<06:43, 10.25it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 867/5000 [01:54<06:43, 10.25it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 867/5000 [01:54<06:43, 10.25it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 869/5000 [01:54<06:34, 10.48it/s]
Current R2: 0.21952/Best R2: 0.21952: 17%|█▋ | 869/5000 [01:54<06:34, 10.48it/s]
Current R2: 0.21952/Best R2: 0.21953: 17%|█▋ | 869/5000 [01:54<06:34, 10.48it/s]
Current R2: 0.21952/Best R2: 0.21953: 17%|█▋ | 871/5000 [01:54<06:35, 10.43it/s]
Current R2: 0.21953/Best R2: 0.21953: 17%|█▋ | 871/5000 [01:54<06:35, 10.43it/s]
Current R2: 0.21953/Best R2: 0.21953: 17%|█▋ | 871/5000 [01:54<06:35, 10.43it/s]
Current R2: 0.21953/Best R2: 0.21953: 17%|█▋ | 873/5000 [01:54<06:32, 10.52it/s]
Current R2: 0.21953/Best R2: 0.21953: 17%|█▋ | 873/5000 [01:55<06:32, 10.52it/s]
Current R2: 0.21953/Best R2: 0.21953: 17%|█▋ | 873/5000 [01:55<06:32, 10.52it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 875/5000 [01:55<06:28, 10.62it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 875/5000 [01:55<06:28, 10.62it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 875/5000 [01:55<06:28, 10.62it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 877/5000 [01:55<06:26, 10.66it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 877/5000 [01:55<06:26, 10.66it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 877/5000 [01:55<06:26, 10.66it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 879/5000 [01:55<06:22, 10.78it/s]
Current R2: 0.21953/Best R2: 0.21953: 18%|█▊ | 879/5000 [01:55<06:22, 10.78it/s]
Current R2: 0.21953/Best R2: 0.21954: 18%|█▊ | 879/5000 [01:55<06:22, 10.78it/s]
Current R2: 0.21953/Best R2: 0.21954: 18%|█▊ | 881/5000 [01:55<06:44, 10.19it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 881/5000 [01:55<06:44, 10.19it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 881/5000 [01:55<06:44, 10.19it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 883/5000 [01:55<07:01, 9.76it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 883/5000 [01:56<07:01, 9.76it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 883/5000 [01:56<07:01, 9.76it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 885/5000 [01:56<06:48, 10.08it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 885/5000 [01:56<06:48, 10.08it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 885/5000 [01:56<06:48, 10.08it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 887/5000 [01:56<06:50, 10.03it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 887/5000 [01:56<06:50, 10.03it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 887/5000 [01:56<06:50, 10.03it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 889/5000 [01:56<07:49, 8.76it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 889/5000 [01:56<07:49, 8.76it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 890/5000 [01:56<08:20, 8.21it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 890/5000 [01:56<08:20, 8.21it/s]
Current R2: 0.21954/Best R2: 0.21954: 18%|█▊ | 891/5000 [01:56<09:18, 7.35it/s]
Current R2: 0.21954/Best R2: 0.21955: 18%|█▊ | 891/5000 [01:57<09:18, 7.35it/s]
Current R2: 0.21954/Best R2: 0.21955: 18%|█▊ | 892/5000 [01:57<09:43, 7.04it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 892/5000 [01:57<09:43, 7.04it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 893/5000 [01:57<10:33, 6.49it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 893/5000 [01:57<10:33, 6.49it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 894/5000 [01:57<11:08, 6.14it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 894/5000 [01:57<11:08, 6.14it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 895/5000 [01:57<11:30, 5.95it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 895/5000 [01:57<11:30, 5.95it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 896/5000 [01:57<12:22, 5.53it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 896/5000 [01:58<12:22, 5.53it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 897/5000 [01:58<12:28, 5.48it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 897/5000 [01:58<12:28, 5.48it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 898/5000 [01:58<11:51, 5.76it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 898/5000 [01:58<11:51, 5.76it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 899/5000 [01:58<12:03, 5.67it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 899/5000 [01:58<12:03, 5.67it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 900/5000 [01:58<11:15, 6.07it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 900/5000 [01:58<11:15, 6.07it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 901/5000 [01:58<11:36, 5.88it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 901/5000 [01:58<11:36, 5.88it/s]
Current R2: 0.21955/Best R2: 0.21955: 18%|█▊ | 902/5000 [01:58<11:12, 6.09it/s]
Current R2: 0.21955/Best R2: 0.21956: 18%|█▊ | 902/5000 [01:59<11:12, 6.09it/s]
Current R2: 0.21955/Best R2: 0.21956: 18%|█▊ | 903/5000 [01:59<11:28, 5.95it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 903/5000 [01:59<11:28, 5.95it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 904/5000 [01:59<10:56, 6.24it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 904/5000 [01:59<10:56, 6.24it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 905/5000 [01:59<10:38, 6.41it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 905/5000 [01:59<10:38, 6.41it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 906/5000 [01:59<11:10, 6.10it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 906/5000 [01:59<11:10, 6.10it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 907/5000 [01:59<10:31, 6.48it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 907/5000 [01:59<10:31, 6.48it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 908/5000 [01:59<11:19, 6.03it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 908/5000 [02:00<11:19, 6.03it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 909/5000 [02:00<10:39, 6.40it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 909/5000 [02:00<10:39, 6.40it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 910/5000 [02:00<11:13, 6.07it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 910/5000 [02:00<11:13, 6.07it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 911/5000 [02:00<12:52, 5.29it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 911/5000 [02:00<12:52, 5.29it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 912/5000 [02:00<12:33, 5.42it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 912/5000 [02:00<12:33, 5.42it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 913/5000 [02:00<12:01, 5.66it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 913/5000 [02:00<12:01, 5.66it/s]
Current R2: 0.21956/Best R2: 0.21956: 18%|█▊ | 914/5000 [02:00<11:15, 6.05it/s]
Current R2: 0.21956/Best R2: 0.21957: 18%|█▊ | 914/5000 [02:01<11:15, 6.05it/s]
Current R2: 0.21956/Best R2: 0.21957: 18%|█▊ | 915/5000 [02:01<10:26, 6.52it/s]
Current R2: 0.21957/Best R2: 0.21957: 18%|█▊ | 915/5000 [02:01<10:26, 6.52it/s]
Current R2: 0.21957/Best R2: 0.21957: 18%|█▊ | 916/5000 [02:01<09:50, 6.91it/s]
Current R2: 0.21957/Best R2: 0.21957: 18%|█▊ | 916/5000 [02:01<09:50, 6.91it/s]
Current R2: 0.21957/Best R2: 0.21957: 18%|█▊ | 917/5000 [02:01<09:11, 7.40it/s]
Current R2: 0.21957/Best R2: 0.21957: 18%|█▊ | 917/5000 [02:01<09:00, 7.55it/s]
"""
Analyze PRF locations
---------------------
"""
# Let's plot the location of all these PRFs:
sns.relplot(x='x', y='y', hue='r2', data=pars.join(fitted_r2.to_frame('r2')), size='sd', sizes=(10, 100), palette='viridis')
plt.title('PRF locations')
# Now we get the 250 best voxels with reasonable parameters
best_voxels = fitted_r2.loc[pars['sd'] > 0.5].sort_values(ascending=False).iloc[:250].index
plt.figure()
sns.relplot(x='x', y='y', hue='r2', data=pars.loc[best_voxels].join(fitted_r2.to_frame('r2')), size='sd', sizes=(10, 100), palette='viridis')
plt.title('PRF locations (best 250 voxels)')
"""
Fit noise model on residuals
----------------------------
"""
from braincoder.optimize import ResidualFitter
resid_fitter = ResidualFitter(model, data.loc[:, best_voxels], stimulus, parameters=pars.loc[best_voxels])
omega, dof = resid_fitter.fit()
"""
Reconstruct stimulus
--------------------
For stimulus reconstruction, we slightly downsample the stimulus space
otherwise the optimization takes too long on a CPU
we can do that by simply setting up a new model with a different grid
"""
data = load_szinte2024(resize_factor=2.5)
grid_coordinates = data['grid_coordinates']
stimulus = data['stimulus']
tr = data['tr']
data = data['v1_timeseries']
model = GaussianPRF2DWithHRF(grid_coordinates=grid_coordinates,
parameters=pars.loc[best_voxels],
hrf_model=SPMHRFModel(tr=tr))
# We set up a stimulus fitter
from braincoder.optimize import StimulusFitter
stim_fitter = StimulusFitter(data.loc[:, best_voxels], model, omega)
# Legacy Adam is a bit faster than the default Adam optimizer on M1
# Learning rate of 1.0 is a bit high, but works well here
reconstructed_stimulus = stim_fitter.fit(legacy_adam=True, min_n_iterations=200, max_n_iterations=1000, learning_rate=.1)
def play_reconstruction(reconstructed_stimulus):
# Here we make a movie of the decoded stimulus
# Set up a function to draw a single frame
vmin, vmax = 0.0, np.quantile(reconstructed_stimulus.values.ravel(), 0.99)
def update(frame):
plt.clf() # Clear the current figure
plt.imshow(reconstructed_stimulus.stack('y').loc[frame], cmap='viridis', vmin=vmin, vmax=vmax)
plt.axis('off')
plt.title(f"Frame {frame}")
# Create the animation
fig = plt.figure()
ani = FuncAnimation(fig, update, frames=range(stimulus.shape[0]), interval=100)
return HTML(ani.to_html5_video())
play_reconstruction(reconstructed_stimulus)
init_tau: 0.24367156624794006, 0.6143098473548889
USING A PSEUDO-WWT!
WWT max: 0.008670077659189701
0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 14618.9814 (best: 14618.9814, rho: 0.102, sigma2: 0.001, mean tau: 0.4144: 0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 14618.9814 (best: 14618.9814, rho: 0.102, sigma2: 0.001, mean tau: 0.4144: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 14400.2256 (best: 14400.2256, rho: 0.104, sigma2: 0.001, mean tau: 0.4079: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 14191.6826 (best: 14191.6826, rho: 0.106, sigma2: 0.001, mean tau: 0.4016: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 13993.6748 (best: 13993.6748, rho: 0.107, sigma2: 0.001, mean tau: 0.3955: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 13806.1484 (best: 13806.1484, rho: 0.109, sigma2: 0.001, mean tau: 0.3897: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 13628.7998 (best: 13628.7998, rho: 0.111, sigma2: 0.001, mean tau: 0.3841: 0%| | 1/1000 [00:00<08:54, 1.87it/s]
fit stat: 13628.7998 (best: 13628.7998, rho: 0.111, sigma2: 0.001, mean tau: 0.3841: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 13461.1865 (best: 13461.1865, rho: 0.113, sigma2: 0.001, mean tau: 0.3789: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 13302.7334 (best: 13302.7334, rho: 0.115, sigma2: 0.001, mean tau: 0.3739: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 13152.7686 (best: 13152.7686, rho: 0.117, sigma2: 0.001, mean tau: 0.3692: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 13010.5693 (best: 13010.5693, rho: 0.119, sigma2: 0.001, mean tau: 0.3649: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 12875.4424 (best: 12875.4424, rho: 0.121, sigma2: 0.001, mean tau: 0.3608: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 12746.6777 (best: 12746.6777, rho: 0.123, sigma2: 0.001, mean tau: 0.3570: 1%| | 6/1000 [00:00<01:24, 11.83it/s]
fit stat: 12746.6777 (best: 12746.6777, rho: 0.123, sigma2: 0.001, mean tau: 0.3570: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12623.6025 (best: 12623.6025, rho: 0.125, sigma2: 0.001, mean tau: 0.3535: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12505.5518 (best: 12505.5518, rho: 0.127, sigma2: 0.001, mean tau: 0.3503: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12391.9463 (best: 12391.9463, rho: 0.129, sigma2: 0.001, mean tau: 0.3474: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12282.2256 (best: 12282.2256, rho: 0.131, sigma2: 0.001, mean tau: 0.3447: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12175.9229 (best: 12175.9229, rho: 0.132, sigma2: 0.001, mean tau: 0.3422: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 12072.5918 (best: 12072.5918, rho: 0.134, sigma2: 0.001, mean tau: 0.3400: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 11971.8477 (best: 11971.8477, rho: 0.136, sigma2: 0.001, mean tau: 0.3380: 1%| | 12/1000 [00:00<00:43, 22.81it/s]
fit stat: 11971.8477 (best: 11971.8477, rho: 0.136, sigma2: 0.001, mean tau: 0.3380: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11873.3184 (best: 11873.3184, rho: 0.138, sigma2: 0.002, mean tau: 0.3362: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11776.7158 (best: 11776.7158, rho: 0.139, sigma2: 0.002, mean tau: 0.3346: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11681.7803 (best: 11681.7803, rho: 0.141, sigma2: 0.002, mean tau: 0.3331: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11588.3320 (best: 11588.3320, rho: 0.143, sigma2: 0.002, mean tau: 0.3318: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11496.1963 (best: 11496.1963, rho: 0.144, sigma2: 0.002, mean tau: 0.3305: 2%|▏ | 19/1000 [00:00<00:29, 33.32it/s]
fit stat: 11405.2676 (best: 11405.2676, rho: 0.146, sigma2: 0.002, mean tau: 0.3294: 2%|▏ | 19/1000 [00:01<00:29, 33.32it/s]
fit stat: 11405.2676 (best: 11405.2676, rho: 0.146, sigma2: 0.002, mean tau: 0.3294: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 11315.4473 (best: 11315.4473, rho: 0.147, sigma2: 0.002, mean tau: 0.3284: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 11226.6904 (best: 11226.6904, rho: 0.149, sigma2: 0.002, mean tau: 0.3275: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 11138.9336 (best: 11138.9336, rho: 0.150, sigma2: 0.002, mean tau: 0.3267: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 11052.1553 (best: 11052.1553, rho: 0.151, sigma2: 0.002, mean tau: 0.3259: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 10966.3350 (best: 10966.3350, rho: 0.153, sigma2: 0.002, mean tau: 0.3251: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 10881.4502 (best: 10881.4502, rho: 0.154, sigma2: 0.002, mean tau: 0.3244: 2%|▎ | 25/1000 [00:01<00:27, 36.02it/s]
fit stat: 10881.4502 (best: 10881.4502, rho: 0.154, sigma2: 0.002, mean tau: 0.3244: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10797.4980 (best: 10797.4980, rho: 0.155, sigma2: 0.002, mean tau: 0.3237: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10714.4443 (best: 10714.4443, rho: 0.156, sigma2: 0.002, mean tau: 0.3230: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10632.2881 (best: 10632.2881, rho: 0.158, sigma2: 0.002, mean tau: 0.3223: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10550.9736 (best: 10550.9736, rho: 0.159, sigma2: 0.002, mean tau: 0.3217: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10470.4883 (best: 10470.4883, rho: 0.160, sigma2: 0.002, mean tau: 0.3210: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10390.8057 (best: 10390.8057, rho: 0.161, sigma2: 0.002, mean tau: 0.3204: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10311.8916 (best: 10311.8916, rho: 0.162, sigma2: 0.002, mean tau: 0.3198: 3%|▎ | 31/1000 [00:01<00:23, 41.12it/s]
fit stat: 10311.8916 (best: 10311.8916, rho: 0.162, sigma2: 0.002, mean tau: 0.3198: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 10233.7422 (best: 10233.7422, rho: 0.163, sigma2: 0.002, mean tau: 0.3191: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 10156.3418 (best: 10156.3418, rho: 0.164, sigma2: 0.002, mean tau: 0.3185: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 10079.6777 (best: 10079.6777, rho: 0.165, sigma2: 0.002, mean tau: 0.3179: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 10003.7881 (best: 10003.7881, rho: 0.166, sigma2: 0.002, mean tau: 0.3173: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 9928.6602 (best: 9928.6602, rho: 0.167, sigma2: 0.003, mean tau: 0.3166: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 9854.3203 (best: 9854.3203, rho: 0.168, sigma2: 0.003, mean tau: 0.3160: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 9780.7842 (best: 9780.7842, rho: 0.169, sigma2: 0.003, mean tau: 0.3154: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 9708.0518 (best: 9708.0518, rho: 0.170, sigma2: 0.003, mean tau: 0.3148: 4%|▍ | 38/1000 [00:01<00:20, 47.84it/s]
fit stat: 9708.0518 (best: 9708.0518, rho: 0.170, sigma2: 0.003, mean tau: 0.3148: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9636.1533 (best: 9636.1533, rho: 0.171, sigma2: 0.003, mean tau: 0.3142: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9565.0947 (best: 9565.0947, rho: 0.172, sigma2: 0.003, mean tau: 0.3136: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9494.8828 (best: 9494.8828, rho: 0.173, sigma2: 0.003, mean tau: 0.3130: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9425.5293 (best: 9425.5293, rho: 0.174, sigma2: 0.003, mean tau: 0.3124: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9357.0391 (best: 9357.0391, rho: 0.175, sigma2: 0.003, mean tau: 0.3119: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9289.4307 (best: 9289.4307, rho: 0.176, sigma2: 0.003, mean tau: 0.3113: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9222.6953 (best: 9222.6953, rho: 0.176, sigma2: 0.003, mean tau: 0.3108: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9156.8672 (best: 9156.8672, rho: 0.177, sigma2: 0.003, mean tau: 0.3103: 5%|▍ | 46/1000 [00:01<00:17, 55.16it/s]
fit stat: 9156.8672 (best: 9156.8672, rho: 0.177, sigma2: 0.003, mean tau: 0.3103: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 9091.9346 (best: 9091.9346, rho: 0.178, sigma2: 0.003, mean tau: 0.3097: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 9027.9131 (best: 9027.9131, rho: 0.179, sigma2: 0.003, mean tau: 0.3092: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8964.8125 (best: 8964.8125, rho: 0.179, sigma2: 0.003, mean tau: 0.3087: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8902.6240 (best: 8902.6240, rho: 0.180, sigma2: 0.004, mean tau: 0.3082: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8841.3672 (best: 8841.3672, rho: 0.181, sigma2: 0.004, mean tau: 0.3077: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8781.0479 (best: 8781.0479, rho: 0.181, sigma2: 0.004, mean tau: 0.3073: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8721.6816 (best: 8721.6816, rho: 0.182, sigma2: 0.004, mean tau: 0.3068: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8663.2656 (best: 8663.2656, rho: 0.182, sigma2: 0.004, mean tau: 0.3064: 5%|▌ | 54/1000 [00:01<00:15, 60.20it/s]
fit stat: 8663.2656 (best: 8663.2656, rho: 0.182, sigma2: 0.004, mean tau: 0.3064: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8605.8027 (best: 8605.8027, rho: 0.183, sigma2: 0.004, mean tau: 0.3059: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8549.3027 (best: 8549.3027, rho: 0.183, sigma2: 0.004, mean tau: 0.3055: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8493.7705 (best: 8493.7705, rho: 0.184, sigma2: 0.004, mean tau: 0.3051: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8439.1963 (best: 8439.1963, rho: 0.184, sigma2: 0.004, mean tau: 0.3047: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8385.6016 (best: 8385.6016, rho: 0.185, sigma2: 0.004, mean tau: 0.3043: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8332.9609 (best: 8332.9609, rho: 0.185, sigma2: 0.004, mean tau: 0.3039: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8281.2910 (best: 8281.2910, rho: 0.185, sigma2: 0.004, mean tau: 0.3035: 6%|▌ | 62/1000 [00:01<00:14, 63.77it/s]
fit stat: 8281.2910 (best: 8281.2910, rho: 0.185, sigma2: 0.004, mean tau: 0.3035: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 8230.5889 (best: 8230.5889, rho: 0.186, sigma2: 0.005, mean tau: 0.3031: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 8180.8413 (best: 8180.8413, rho: 0.186, sigma2: 0.005, mean tau: 0.3027: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 8132.0415 (best: 8132.0415, rho: 0.186, sigma2: 0.005, mean tau: 0.3023: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 8084.1963 (best: 8084.1963, rho: 0.186, sigma2: 0.005, mean tau: 0.3020: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 8037.2705 (best: 8037.2705, rho: 0.187, sigma2: 0.005, mean tau: 0.3016: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 7991.2822 (best: 7991.2822, rho: 0.187, sigma2: 0.005, mean tau: 0.3012: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 7946.2070 (best: 7946.2070, rho: 0.187, sigma2: 0.005, mean tau: 0.3008: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 7902.0283 (best: 7902.0283, rho: 0.187, sigma2: 0.005, mean tau: 0.3005: 7%|▋ | 69/1000 [00:01<00:14, 63.42it/s]
fit stat: 7902.0283 (best: 7902.0283, rho: 0.187, sigma2: 0.005, mean tau: 0.3005: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7858.7437 (best: 7858.7437, rho: 0.187, sigma2: 0.005, mean tau: 0.3001: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7816.3330 (best: 7816.3330, rho: 0.187, sigma2: 0.005, mean tau: 0.2997: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7774.7979 (best: 7774.7979, rho: 0.187, sigma2: 0.006, mean tau: 0.2994: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7734.1069 (best: 7734.1069, rho: 0.188, sigma2: 0.006, mean tau: 0.2990: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7694.2573 (best: 7694.2573, rho: 0.188, sigma2: 0.006, mean tau: 0.2987: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7655.2383 (best: 7655.2383, rho: 0.188, sigma2: 0.006, mean tau: 0.2984: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7617.0405 (best: 7617.0405, rho: 0.188, sigma2: 0.006, mean tau: 0.2980: 8%|▊ | 77/1000 [00:01<00:13, 67.60it/s]
fit stat: 7617.0405 (best: 7617.0405, rho: 0.188, sigma2: 0.006, mean tau: 0.2980: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7579.6367 (best: 7579.6367, rho: 0.188, sigma2: 0.006, mean tau: 0.2977: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7543.0308 (best: 7543.0308, rho: 0.188, sigma2: 0.006, mean tau: 0.2974: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7507.1948 (best: 7507.1948, rho: 0.187, sigma2: 0.006, mean tau: 0.2970: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7472.1226 (best: 7472.1226, rho: 0.187, sigma2: 0.006, mean tau: 0.2967: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7437.8076 (best: 7437.8076, rho: 0.187, sigma2: 0.007, mean tau: 0.2964: 8%|▊ | 84/1000 [00:01<00:14, 63.24it/s]
fit stat: 7404.2202 (best: 7404.2202, rho: 0.187, sigma2: 0.007, mean tau: 0.2961: 8%|▊ | 84/1000 [00:02<00:14, 63.24it/s]
fit stat: 7371.3667 (best: 7371.3667, rho: 0.187, sigma2: 0.007, mean tau: 0.2958: 8%|▊ | 84/1000 [00:02<00:14, 63.24it/s]
fit stat: 7371.3667 (best: 7371.3667, rho: 0.187, sigma2: 0.007, mean tau: 0.2958: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7339.2266 (best: 7339.2266, rho: 0.187, sigma2: 0.007, mean tau: 0.2954: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7307.7734 (best: 7307.7734, rho: 0.187, sigma2: 0.007, mean tau: 0.2951: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7277.0049 (best: 7277.0049, rho: 0.187, sigma2: 0.007, mean tau: 0.2948: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7246.9150 (best: 7246.9150, rho: 0.187, sigma2: 0.007, mean tau: 0.2945: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7217.4854 (best: 7217.4854, rho: 0.186, sigma2: 0.007, mean tau: 0.2942: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7188.7017 (best: 7188.7017, rho: 0.186, sigma2: 0.007, mean tau: 0.2939: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7160.5562 (best: 7160.5562, rho: 0.186, sigma2: 0.008, mean tau: 0.2936: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7133.0107 (best: 7133.0107, rho: 0.186, sigma2: 0.008, mean tau: 0.2933: 9%|▉ | 91/1000 [00:02<00:15, 59.80it/s]
fit stat: 7133.0107 (best: 7133.0107, rho: 0.186, sigma2: 0.008, mean tau: 0.2933: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 7106.0942 (best: 7106.0942, rho: 0.186, sigma2: 0.008, mean tau: 0.2930: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 7079.7700 (best: 7079.7700, rho: 0.185, sigma2: 0.008, mean tau: 0.2927: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 7054.0303 (best: 7054.0303, rho: 0.185, sigma2: 0.008, mean tau: 0.2925: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 7028.8613 (best: 7028.8613, rho: 0.185, sigma2: 0.008, mean tau: 0.2922: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 7004.2524 (best: 7004.2524, rho: 0.185, sigma2: 0.008, mean tau: 0.2919: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 6980.1865 (best: 6980.1865, rho: 0.184, sigma2: 0.008, mean tau: 0.2916: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 6956.6587 (best: 6956.6587, rho: 0.184, sigma2: 0.009, mean tau: 0.2913: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 6933.6577 (best: 6933.6577, rho: 0.184, sigma2: 0.009, mean tau: 0.2910: 10%|▉ | 99/1000 [00:02<00:14, 64.13it/s]
fit stat: 6933.6577 (best: 6933.6577, rho: 0.184, sigma2: 0.009, mean tau: 0.2910: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6911.1655 (best: 6911.1655, rho: 0.184, sigma2: 0.009, mean tau: 0.2907: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6889.1797 (best: 6889.1797, rho: 0.183, sigma2: 0.009, mean tau: 0.2904: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6867.6792 (best: 6867.6792, rho: 0.183, sigma2: 0.009, mean tau: 0.2902: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6846.6606 (best: 6846.6606, rho: 0.183, sigma2: 0.009, mean tau: 0.2899: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6826.1045 (best: 6826.1045, rho: 0.182, sigma2: 0.009, mean tau: 0.2896: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6806.0103 (best: 6806.0103, rho: 0.182, sigma2: 0.009, mean tau: 0.2893: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6786.3667 (best: 6786.3667, rho: 0.182, sigma2: 0.010, mean tau: 0.2891: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6767.1572 (best: 6767.1572, rho: 0.181, sigma2: 0.010, mean tau: 0.2888: 11%|█ | 107/1000 [00:02<00:13, 66.47it/s]
fit stat: 6767.1572 (best: 6767.1572, rho: 0.181, sigma2: 0.010, mean tau: 0.2888: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6748.3672 (best: 6748.3672, rho: 0.181, sigma2: 0.010, mean tau: 0.2885: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6730.0034 (best: 6730.0034, rho: 0.181, sigma2: 0.010, mean tau: 0.2882: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6712.0454 (best: 6712.0454, rho: 0.180, sigma2: 0.010, mean tau: 0.2880: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6694.4897 (best: 6694.4897, rho: 0.180, sigma2: 0.010, mean tau: 0.2877: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6677.3169 (best: 6677.3169, rho: 0.180, sigma2: 0.010, mean tau: 0.2875: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6660.5239 (best: 6660.5239, rho: 0.179, sigma2: 0.011, mean tau: 0.2872: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6644.1108 (best: 6644.1108, rho: 0.179, sigma2: 0.011, mean tau: 0.2869: 12%|█▏ | 115/1000 [00:02<00:13, 67.31it/s]
fit stat: 6644.1108 (best: 6644.1108, rho: 0.179, sigma2: 0.011, mean tau: 0.2869: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6628.0547 (best: 6628.0547, rho: 0.178, sigma2: 0.011, mean tau: 0.2867: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6612.3545 (best: 6612.3545, rho: 0.178, sigma2: 0.011, mean tau: 0.2864: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6597.0034 (best: 6597.0034, rho: 0.178, sigma2: 0.011, mean tau: 0.2862: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6581.9937 (best: 6581.9937, rho: 0.177, sigma2: 0.011, mean tau: 0.2859: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6567.3076 (best: 6567.3076, rho: 0.177, sigma2: 0.011, mean tau: 0.2857: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6552.9551 (best: 6552.9551, rho: 0.176, sigma2: 0.012, mean tau: 0.2854: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6538.9087 (best: 6538.9087, rho: 0.176, sigma2: 0.012, mean tau: 0.2852: 12%|█▏ | 122/1000 [00:02<00:15, 57.89it/s]
fit stat: 6538.9087 (best: 6538.9087, rho: 0.176, sigma2: 0.012, mean tau: 0.2852: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6525.1729 (best: 6525.1729, rho: 0.176, sigma2: 0.012, mean tau: 0.2849: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6511.7500 (best: 6511.7500, rho: 0.175, sigma2: 0.012, mean tau: 0.2847: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6498.6128 (best: 6498.6128, rho: 0.175, sigma2: 0.012, mean tau: 0.2844: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6485.7744 (best: 6485.7744, rho: 0.174, sigma2: 0.012, mean tau: 0.2842: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6473.2119 (best: 6473.2119, rho: 0.174, sigma2: 0.012, mean tau: 0.2839: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6460.9341 (best: 6460.9341, rho: 0.173, sigma2: 0.012, mean tau: 0.2837: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6448.9194 (best: 6448.9194, rho: 0.173, sigma2: 0.013, mean tau: 0.2835: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6437.1792 (best: 6437.1792, rho: 0.172, sigma2: 0.013, mean tau: 0.2832: 13%|█▎ | 129/1000 [00:02<00:15, 56.24it/s]
fit stat: 6437.1792 (best: 6437.1792, rho: 0.172, sigma2: 0.013, mean tau: 0.2832: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6425.6938 (best: 6425.6938, rho: 0.172, sigma2: 0.013, mean tau: 0.2830: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6414.4580 (best: 6414.4580, rho: 0.172, sigma2: 0.013, mean tau: 0.2828: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6403.4731 (best: 6403.4731, rho: 0.171, sigma2: 0.013, mean tau: 0.2825: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6392.7349 (best: 6392.7349, rho: 0.171, sigma2: 0.013, mean tau: 0.2823: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6382.2261 (best: 6382.2261, rho: 0.170, sigma2: 0.013, mean tau: 0.2821: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6371.9609 (best: 6371.9609, rho: 0.170, sigma2: 0.014, mean tau: 0.2818: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6361.9209 (best: 6361.9209, rho: 0.169, sigma2: 0.014, mean tau: 0.2816: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6352.0977 (best: 6352.0977, rho: 0.169, sigma2: 0.014, mean tau: 0.2814: 14%|█▎ | 137/1000 [00:02<00:14, 61.07it/s]
fit stat: 6352.0977 (best: 6352.0977, rho: 0.169, sigma2: 0.014, mean tau: 0.2814: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6342.5068 (best: 6342.5068, rho: 0.168, sigma2: 0.014, mean tau: 0.2812: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6333.1240 (best: 6333.1240, rho: 0.168, sigma2: 0.014, mean tau: 0.2809: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6323.9438 (best: 6323.9438, rho: 0.167, sigma2: 0.014, mean tau: 0.2807: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6314.9863 (best: 6314.9863, rho: 0.167, sigma2: 0.014, mean tau: 0.2805: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6306.2212 (best: 6306.2212, rho: 0.166, sigma2: 0.015, mean tau: 0.2803: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6297.6553 (best: 6297.6553, rho: 0.166, sigma2: 0.015, mean tau: 0.2801: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6289.2861 (best: 6289.2861, rho: 0.165, sigma2: 0.015, mean tau: 0.2799: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6281.1030 (best: 6281.1030, rho: 0.165, sigma2: 0.015, mean tau: 0.2797: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6273.1113 (best: 6273.1113, rho: 0.164, sigma2: 0.015, mean tau: 0.2795: 14%|█▍ | 145/1000 [00:02<00:13, 65.64it/s]
fit stat: 6273.1113 (best: 6273.1113, rho: 0.164, sigma2: 0.015, mean tau: 0.2795: 15%|█▌ | 154/1000 [00:02<00:11, 70.65it/s]
fit stat: 6265.2935 (best: 6265.2935, rho: 0.164, sigma2: 0.015, mean tau: 0.2792: 15%|█▌ | 154/1000 [00:02<00:11, 70.65it/s]
fit stat: 6257.6626 (best: 6257.6626, rho: 0.163, sigma2: 0.015, mean tau: 0.2790: 15%|█▌ | 154/1000 [00:02<00:11, 70.65it/s]
fit stat: 6250.2119 (best: 6250.2119, rho: 0.163, sigma2: 0.016, mean tau: 0.2788: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6242.9341 (best: 6242.9341, rho: 0.162, sigma2: 0.016, mean tau: 0.2786: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6235.8208 (best: 6235.8208, rho: 0.162, sigma2: 0.016, mean tau: 0.2784: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6228.8706 (best: 6228.8706, rho: 0.161, sigma2: 0.016, mean tau: 0.2782: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6222.0864 (best: 6222.0864, rho: 0.161, sigma2: 0.016, mean tau: 0.2780: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6215.4653 (best: 6215.4653, rho: 0.160, sigma2: 0.016, mean tau: 0.2778: 15%|█▌ | 154/1000 [00:03<00:11, 70.65it/s]
fit stat: 6215.4653 (best: 6215.4653, rho: 0.160, sigma2: 0.016, mean tau: 0.2778: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6208.9961 (best: 6208.9961, rho: 0.160, sigma2: 0.016, mean tau: 0.2777: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6202.6836 (best: 6202.6836, rho: 0.159, sigma2: 0.017, mean tau: 0.2775: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6196.5215 (best: 6196.5215, rho: 0.159, sigma2: 0.017, mean tau: 0.2773: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6190.5122 (best: 6190.5122, rho: 0.158, sigma2: 0.017, mean tau: 0.2771: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6184.6426 (best: 6184.6426, rho: 0.158, sigma2: 0.017, mean tau: 0.2769: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6178.9092 (best: 6178.9092, rho: 0.157, sigma2: 0.017, mean tau: 0.2767: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6173.3237 (best: 6173.3237, rho: 0.157, sigma2: 0.017, mean tau: 0.2765: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6167.8794 (best: 6167.8794, rho: 0.156, sigma2: 0.017, mean tau: 0.2763: 16%|█▌ | 162/1000 [00:03<00:11, 73.17it/s]
fit stat: 6167.8794 (best: 6167.8794, rho: 0.156, sigma2: 0.017, mean tau: 0.2763: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6162.5581 (best: 6162.5581, rho: 0.156, sigma2: 0.017, mean tau: 0.2762: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6157.3770 (best: 6157.3770, rho: 0.155, sigma2: 0.018, mean tau: 0.2760: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6152.3208 (best: 6152.3208, rho: 0.155, sigma2: 0.018, mean tau: 0.2758: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6147.3882 (best: 6147.3882, rho: 0.154, sigma2: 0.018, mean tau: 0.2756: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6142.5820 (best: 6142.5820, rho: 0.154, sigma2: 0.018, mean tau: 0.2755: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6137.8955 (best: 6137.8955, rho: 0.153, sigma2: 0.018, mean tau: 0.2753: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6133.3281 (best: 6133.3281, rho: 0.152, sigma2: 0.018, mean tau: 0.2751: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6128.8770 (best: 6128.8770, rho: 0.152, sigma2: 0.018, mean tau: 0.2749: 17%|█▋ | 170/1000 [00:03<00:11, 73.08it/s]
fit stat: 6128.8770 (best: 6128.8770, rho: 0.152, sigma2: 0.018, mean tau: 0.2749: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6124.5391 (best: 6124.5391, rho: 0.151, sigma2: 0.019, mean tau: 0.2748: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6120.3071 (best: 6120.3071, rho: 0.151, sigma2: 0.019, mean tau: 0.2746: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6116.1968 (best: 6116.1968, rho: 0.150, sigma2: 0.019, mean tau: 0.2744: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6112.1816 (best: 6112.1816, rho: 0.150, sigma2: 0.019, mean tau: 0.2743: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6108.2817 (best: 6108.2817, rho: 0.149, sigma2: 0.019, mean tau: 0.2741: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6104.4717 (best: 6104.4717, rho: 0.149, sigma2: 0.019, mean tau: 0.2739: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6100.7632 (best: 6100.7632, rho: 0.148, sigma2: 0.019, mean tau: 0.2738: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6097.1621 (best: 6097.1621, rho: 0.148, sigma2: 0.019, mean tau: 0.2736: 18%|█▊ | 178/1000 [00:03<00:11, 70.30it/s]
fit stat: 6097.1621 (best: 6097.1621, rho: 0.148, sigma2: 0.019, mean tau: 0.2736: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6093.6377 (best: 6093.6377, rho: 0.147, sigma2: 0.020, mean tau: 0.2735: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6090.2241 (best: 6090.2241, rho: 0.147, sigma2: 0.020, mean tau: 0.2733: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6086.8892 (best: 6086.8892, rho: 0.146, sigma2: 0.020, mean tau: 0.2731: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6083.6528 (best: 6083.6528, rho: 0.146, sigma2: 0.020, mean tau: 0.2730: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6080.5010 (best: 6080.5010, rho: 0.145, sigma2: 0.020, mean tau: 0.2728: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6077.4316 (best: 6077.4316, rho: 0.145, sigma2: 0.020, mean tau: 0.2727: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6074.4375 (best: 6074.4375, rho: 0.144, sigma2: 0.020, mean tau: 0.2725: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6071.5381 (best: 6071.5381, rho: 0.143, sigma2: 0.020, mean tau: 0.2724: 19%|█▊ | 186/1000 [00:03<00:11, 69.96it/s]
fit stat: 6071.5381 (best: 6071.5381, rho: 0.143, sigma2: 0.020, mean tau: 0.2724: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6068.7104 (best: 6068.7104, rho: 0.143, sigma2: 0.020, mean tau: 0.2722: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6065.9639 (best: 6065.9639, rho: 0.142, sigma2: 0.021, mean tau: 0.2721: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6063.2939 (best: 6063.2939, rho: 0.142, sigma2: 0.021, mean tau: 0.2719: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6060.6885 (best: 6060.6885, rho: 0.141, sigma2: 0.021, mean tau: 0.2718: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6058.1572 (best: 6058.1572, rho: 0.141, sigma2: 0.021, mean tau: 0.2717: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6055.6934 (best: 6055.6934, rho: 0.140, sigma2: 0.021, mean tau: 0.2715: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6053.3086 (best: 6053.3086, rho: 0.140, sigma2: 0.021, mean tau: 0.2714: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6050.9819 (best: 6050.9819, rho: 0.139, sigma2: 0.021, mean tau: 0.2712: 19%|█▉ | 194/1000 [00:03<00:11, 71.52it/s]
fit stat: 6050.9819 (best: 6050.9819, rho: 0.139, sigma2: 0.021, mean tau: 0.2712: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6048.7212 (best: 6048.7212, rho: 0.139, sigma2: 0.021, mean tau: 0.2711: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6046.5293 (best: 6046.5293, rho: 0.138, sigma2: 0.022, mean tau: 0.2710: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6044.3911 (best: 6044.3911, rho: 0.138, sigma2: 0.022, mean tau: 0.2708: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6042.3115 (best: 6042.3115, rho: 0.137, sigma2: 0.022, mean tau: 0.2707: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6040.2998 (best: 6040.2998, rho: 0.137, sigma2: 0.022, mean tau: 0.2705: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6038.3423 (best: 6038.3423, rho: 0.136, sigma2: 0.022, mean tau: 0.2704: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6036.4365 (best: 6036.4365, rho: 0.136, sigma2: 0.022, mean tau: 0.2703: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6034.5830 (best: 6034.5830, rho: 0.135, sigma2: 0.022, mean tau: 0.2702: 20%|██ | 202/1000 [00:03<00:11, 71.71it/s]
fit stat: 6034.5830 (best: 6034.5830, rho: 0.135, sigma2: 0.022, mean tau: 0.2702: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6032.7852 (best: 6032.7852, rho: 0.135, sigma2: 0.022, mean tau: 0.2700: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6031.0381 (best: 6031.0381, rho: 0.134, sigma2: 0.022, mean tau: 0.2699: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6029.3433 (best: 6029.3433, rho: 0.134, sigma2: 0.022, mean tau: 0.2698: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6027.6909 (best: 6027.6909, rho: 0.133, sigma2: 0.023, mean tau: 0.2696: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6026.0908 (best: 6026.0908, rho: 0.133, sigma2: 0.023, mean tau: 0.2695: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6024.5400 (best: 6024.5400, rho: 0.132, sigma2: 0.023, mean tau: 0.2694: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6023.0288 (best: 6023.0288, rho: 0.132, sigma2: 0.023, mean tau: 0.2693: 21%|██ | 210/1000 [00:03<00:11, 67.48it/s]
fit stat: 6023.0288 (best: 6023.0288, rho: 0.132, sigma2: 0.023, mean tau: 0.2693: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6021.5649 (best: 6021.5649, rho: 0.131, sigma2: 0.023, mean tau: 0.2691: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6020.1377 (best: 6020.1377, rho: 0.131, sigma2: 0.023, mean tau: 0.2690: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6018.7554 (best: 6018.7554, rho: 0.130, sigma2: 0.023, mean tau: 0.2689: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6017.4058 (best: 6017.4058, rho: 0.130, sigma2: 0.023, mean tau: 0.2688: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6016.1025 (best: 6016.1025, rho: 0.129, sigma2: 0.023, mean tau: 0.2687: 22%|██▏ | 217/1000 [00:03<00:12, 60.44it/s]
fit stat: 6014.8433 (best: 6014.8433, rho: 0.129, sigma2: 0.023, mean tau: 0.2686: 22%|██▏ | 217/1000 [00:04<00:12, 60.44it/s]
fit stat: 6013.6104 (best: 6013.6104, rho: 0.128, sigma2: 0.024, mean tau: 0.2684: 22%|██▏ | 217/1000 [00:04<00:12, 60.44it/s]
fit stat: 6013.6104 (best: 6013.6104, rho: 0.128, sigma2: 0.024, mean tau: 0.2684: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6012.4155 (best: 6012.4155, rho: 0.128, sigma2: 0.024, mean tau: 0.2683: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6011.2593 (best: 6011.2593, rho: 0.127, sigma2: 0.024, mean tau: 0.2682: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6010.1343 (best: 6010.1343, rho: 0.127, sigma2: 0.024, mean tau: 0.2681: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6009.0439 (best: 6009.0439, rho: 0.126, sigma2: 0.024, mean tau: 0.2680: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6007.9814 (best: 6007.9814, rho: 0.126, sigma2: 0.024, mean tau: 0.2679: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6006.9497 (best: 6006.9497, rho: 0.125, sigma2: 0.024, mean tau: 0.2678: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6005.9556 (best: 6005.9556, rho: 0.125, sigma2: 0.024, mean tau: 0.2677: 22%|██▏ | 224/1000 [00:04<00:12, 61.72it/s]
fit stat: 6005.9556 (best: 6005.9556, rho: 0.125, sigma2: 0.024, mean tau: 0.2677: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6004.9937 (best: 6004.9937, rho: 0.124, sigma2: 0.024, mean tau: 0.2676: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6004.0454 (best: 6004.0454, rho: 0.124, sigma2: 0.024, mean tau: 0.2674: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6003.1313 (best: 6003.1313, rho: 0.123, sigma2: 0.024, mean tau: 0.2673: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6002.2480 (best: 6002.2480, rho: 0.123, sigma2: 0.024, mean tau: 0.2672: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6001.3838 (best: 6001.3838, rho: 0.123, sigma2: 0.025, mean tau: 0.2671: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 6000.5518 (best: 6000.5518, rho: 0.122, sigma2: 0.025, mean tau: 0.2670: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 5999.7402 (best: 5999.7402, rho: 0.122, sigma2: 0.025, mean tau: 0.2669: 23%|██▎ | 231/1000 [00:04<00:12, 62.71it/s]
fit stat: 5999.7402 (best: 5999.7402, rho: 0.122, sigma2: 0.025, mean tau: 0.2669: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5998.9556 (best: 5998.9556, rho: 0.121, sigma2: 0.025, mean tau: 0.2668: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5998.1924 (best: 5998.1924, rho: 0.121, sigma2: 0.025, mean tau: 0.2667: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5997.4531 (best: 5997.4531, rho: 0.120, sigma2: 0.025, mean tau: 0.2666: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5996.7319 (best: 5996.7319, rho: 0.120, sigma2: 0.025, mean tau: 0.2665: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5996.0347 (best: 5996.0347, rho: 0.119, sigma2: 0.025, mean tau: 0.2664: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5995.3623 (best: 5995.3623, rho: 0.119, sigma2: 0.025, mean tau: 0.2663: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5994.7026 (best: 5994.7026, rho: 0.118, sigma2: 0.025, mean tau: 0.2662: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5994.0654 (best: 5994.0654, rho: 0.118, sigma2: 0.025, mean tau: 0.2661: 24%|██▍ | 238/1000 [00:04<00:12, 62.40it/s]
fit stat: 5994.0654 (best: 5994.0654, rho: 0.118, sigma2: 0.025, mean tau: 0.2661: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5993.4443 (best: 5993.4443, rho: 0.118, sigma2: 0.025, mean tau: 0.2661: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5992.8506 (best: 5992.8506, rho: 0.117, sigma2: 0.025, mean tau: 0.2660: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5992.2617 (best: 5992.2617, rho: 0.117, sigma2: 0.025, mean tau: 0.2659: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5991.7012 (best: 5991.7012, rho: 0.116, sigma2: 0.026, mean tau: 0.2658: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5991.1475 (best: 5991.1475, rho: 0.116, sigma2: 0.026, mean tau: 0.2657: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5990.6133 (best: 5990.6133, rho: 0.115, sigma2: 0.026, mean tau: 0.2656: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5990.0981 (best: 5990.0981, rho: 0.115, sigma2: 0.026, mean tau: 0.2655: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5989.5962 (best: 5989.5962, rho: 0.115, sigma2: 0.026, mean tau: 0.2654: 25%|██▍ | 246/1000 [00:04<00:11, 66.24it/s]
fit stat: 5989.5962 (best: 5989.5962, rho: 0.115, sigma2: 0.026, mean tau: 0.2654: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5989.1128 (best: 5989.1128, rho: 0.114, sigma2: 0.026, mean tau: 0.2653: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5988.6372 (best: 5988.6372, rho: 0.114, sigma2: 0.026, mean tau: 0.2653: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5988.1802 (best: 5988.1802, rho: 0.113, sigma2: 0.026, mean tau: 0.2652: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5987.7314 (best: 5987.7314, rho: 0.113, sigma2: 0.026, mean tau: 0.2651: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5987.3032 (best: 5987.3032, rho: 0.113, sigma2: 0.026, mean tau: 0.2650: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5986.8818 (best: 5986.8818, rho: 0.112, sigma2: 0.026, mean tau: 0.2649: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5986.4761 (best: 5986.4761, rho: 0.112, sigma2: 0.026, mean tau: 0.2648: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5986.0786 (best: 5986.0786, rho: 0.111, sigma2: 0.026, mean tau: 0.2648: 25%|██▌ | 254/1000 [00:04<00:10, 68.19it/s]
fit stat: 5986.0786 (best: 5986.0786, rho: 0.111, sigma2: 0.026, mean tau: 0.2648: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5985.6909 (best: 5985.6909, rho: 0.111, sigma2: 0.026, mean tau: 0.2647: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5985.3188 (best: 5985.3188, rho: 0.111, sigma2: 0.026, mean tau: 0.2646: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5984.9624 (best: 5984.9624, rho: 0.110, sigma2: 0.026, mean tau: 0.2645: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5984.6035 (best: 5984.6035, rho: 0.110, sigma2: 0.026, mean tau: 0.2644: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5984.2661 (best: 5984.2661, rho: 0.109, sigma2: 0.027, mean tau: 0.2644: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5983.9321 (best: 5983.9321, rho: 0.109, sigma2: 0.027, mean tau: 0.2643: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5983.6138 (best: 5983.6138, rho: 0.109, sigma2: 0.027, mean tau: 0.2642: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5983.2998 (best: 5983.2998, rho: 0.108, sigma2: 0.027, mean tau: 0.2641: 26%|██▌ | 262/1000 [00:04<00:10, 71.10it/s]
fit stat: 5983.2998 (best: 5983.2998, rho: 0.108, sigma2: 0.027, mean tau: 0.2641: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5982.9985 (best: 5982.9985, rho: 0.108, sigma2: 0.027, mean tau: 0.2641: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5982.7046 (best: 5982.7046, rho: 0.107, sigma2: 0.027, mean tau: 0.2640: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5982.4106 (best: 5982.4106, rho: 0.107, sigma2: 0.027, mean tau: 0.2639: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5982.1338 (best: 5982.1338, rho: 0.107, sigma2: 0.027, mean tau: 0.2638: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5981.8623 (best: 5981.8623, rho: 0.106, sigma2: 0.027, mean tau: 0.2638: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5981.6079 (best: 5981.6079, rho: 0.106, sigma2: 0.027, mean tau: 0.2637: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5981.3438 (best: 5981.3438, rho: 0.106, sigma2: 0.027, mean tau: 0.2636: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5981.0977 (best: 5981.0977, rho: 0.105, sigma2: 0.027, mean tau: 0.2636: 27%|██▋ | 270/1000 [00:04<00:10, 69.77it/s]
fit stat: 5981.0977 (best: 5981.0977, rho: 0.105, sigma2: 0.027, mean tau: 0.2636: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5980.8564 (best: 5980.8564, rho: 0.105, sigma2: 0.027, mean tau: 0.2635: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5980.6235 (best: 5980.6235, rho: 0.104, sigma2: 0.027, mean tau: 0.2634: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5980.3945 (best: 5980.3945, rho: 0.104, sigma2: 0.027, mean tau: 0.2634: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5980.1768 (best: 5980.1768, rho: 0.104, sigma2: 0.027, mean tau: 0.2633: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5979.9556 (best: 5979.9556, rho: 0.103, sigma2: 0.027, mean tau: 0.2632: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5979.7490 (best: 5979.7490, rho: 0.103, sigma2: 0.027, mean tau: 0.2632: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5979.5527 (best: 5979.5527, rho: 0.103, sigma2: 0.027, mean tau: 0.2631: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5979.3511 (best: 5979.3511, rho: 0.102, sigma2: 0.027, mean tau: 0.2630: 28%|██▊ | 278/1000 [00:04<00:10, 69.14it/s]
fit stat: 5979.3511 (best: 5979.3511, rho: 0.102, sigma2: 0.027, mean tau: 0.2630: 29%|██▊ | 286/1000 [00:04<00:10, 70.66it/s]
fit stat: 5979.1567 (best: 5979.1567, rho: 0.102, sigma2: 0.027, mean tau: 0.2630: 29%|██▊ | 286/1000 [00:04<00:10, 70.66it/s]
fit stat: 5978.9653 (best: 5978.9653, rho: 0.102, sigma2: 0.027, mean tau: 0.2629: 29%|██▊ | 286/1000 [00:04<00:10, 70.66it/s]
fit stat: 5978.7876 (best: 5978.7876, rho: 0.101, sigma2: 0.027, mean tau: 0.2629: 29%|██▊ | 286/1000 [00:04<00:10, 70.66it/s]
fit stat: 5978.6079 (best: 5978.6079, rho: 0.101, sigma2: 0.027, mean tau: 0.2628: 29%|██▊ | 286/1000 [00:04<00:10, 70.66it/s]
fit stat: 5978.4360 (best: 5978.4360, rho: 0.101, sigma2: 0.028, mean tau: 0.2627: 29%|██▊ | 286/1000 [00:05<00:10, 70.66it/s]
fit stat: 5978.2637 (best: 5978.2637, rho: 0.100, sigma2: 0.028, mean tau: 0.2627: 29%|██▊ | 286/1000 [00:05<00:10, 70.66it/s]
fit stat: 5978.1069 (best: 5978.1069, rho: 0.100, sigma2: 0.028, mean tau: 0.2626: 29%|██▊ | 286/1000 [00:05<00:10, 70.66it/s]
fit stat: 5977.9492 (best: 5977.9492, rho: 0.100, sigma2: 0.028, mean tau: 0.2626: 29%|██▊ | 286/1000 [00:05<00:10, 70.66it/s]
fit stat: 5977.9492 (best: 5977.9492, rho: 0.100, sigma2: 0.028, mean tau: 0.2626: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.7930 (best: 5977.7930, rho: 0.099, sigma2: 0.028, mean tau: 0.2625: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.6460 (best: 5977.6460, rho: 0.099, sigma2: 0.028, mean tau: 0.2624: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.4922 (best: 5977.4922, rho: 0.099, sigma2: 0.028, mean tau: 0.2624: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.3530 (best: 5977.3530, rho: 0.098, sigma2: 0.028, mean tau: 0.2623: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.2114 (best: 5977.2114, rho: 0.098, sigma2: 0.028, mean tau: 0.2623: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5977.0786 (best: 5977.0786, rho: 0.098, sigma2: 0.028, mean tau: 0.2622: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5976.9448 (best: 5976.9448, rho: 0.098, sigma2: 0.028, mean tau: 0.2622: 29%|██▉ | 294/1000 [00:05<00:11, 61.33it/s]
fit stat: 5976.9448 (best: 5976.9448, rho: 0.098, sigma2: 0.028, mean tau: 0.2622: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.8188 (best: 5976.8188, rho: 0.097, sigma2: 0.028, mean tau: 0.2621: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.6860 (best: 5976.6860, rho: 0.097, sigma2: 0.028, mean tau: 0.2620: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.5664 (best: 5976.5664, rho: 0.097, sigma2: 0.028, mean tau: 0.2620: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.4517 (best: 5976.4517, rho: 0.096, sigma2: 0.028, mean tau: 0.2619: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.3325 (best: 5976.3325, rho: 0.096, sigma2: 0.028, mean tau: 0.2619: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.2251 (best: 5976.2251, rho: 0.096, sigma2: 0.028, mean tau: 0.2618: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.1128 (best: 5976.1128, rho: 0.095, sigma2: 0.028, mean tau: 0.2618: 30%|███ | 301/1000 [00:05<00:11, 58.80it/s]
fit stat: 5976.1128 (best: 5976.1128, rho: 0.095, sigma2: 0.028, mean tau: 0.2618: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5976.0083 (best: 5976.0083, rho: 0.095, sigma2: 0.028, mean tau: 0.2617: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.8994 (best: 5975.8994, rho: 0.095, sigma2: 0.028, mean tau: 0.2617: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.7993 (best: 5975.7993, rho: 0.095, sigma2: 0.028, mean tau: 0.2616: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.6943 (best: 5975.6943, rho: 0.094, sigma2: 0.028, mean tau: 0.2616: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.5952 (best: 5975.5952, rho: 0.094, sigma2: 0.028, mean tau: 0.2615: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.5068 (best: 5975.5068, rho: 0.094, sigma2: 0.028, mean tau: 0.2615: 31%|███ | 308/1000 [00:05<00:12, 57.59it/s]
fit stat: 5975.5068 (best: 5975.5068, rho: 0.094, sigma2: 0.028, mean tau: 0.2615: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5975.4077 (best: 5975.4077, rho: 0.093, sigma2: 0.028, mean tau: 0.2614: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5975.3208 (best: 5975.3208, rho: 0.093, sigma2: 0.028, mean tau: 0.2614: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5975.2310 (best: 5975.2310, rho: 0.093, sigma2: 0.028, mean tau: 0.2614: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5975.1509 (best: 5975.1509, rho: 0.093, sigma2: 0.028, mean tau: 0.2613: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5975.0659 (best: 5975.0659, rho: 0.092, sigma2: 0.028, mean tau: 0.2613: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5974.9854 (best: 5974.9854, rho: 0.092, sigma2: 0.028, mean tau: 0.2612: 31%|███▏ | 314/1000 [00:05<00:11, 57.79it/s]
fit stat: 5974.9854 (best: 5974.9854, rho: 0.092, sigma2: 0.028, mean tau: 0.2612: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.9028 (best: 5974.9028, rho: 0.092, sigma2: 0.028, mean tau: 0.2612: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.8271 (best: 5974.8271, rho: 0.092, sigma2: 0.028, mean tau: 0.2611: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.7505 (best: 5974.7505, rho: 0.091, sigma2: 0.028, mean tau: 0.2611: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.6738 (best: 5974.6738, rho: 0.091, sigma2: 0.028, mean tau: 0.2610: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.6006 (best: 5974.6006, rho: 0.091, sigma2: 0.028, mean tau: 0.2610: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.5293 (best: 5974.5293, rho: 0.091, sigma2: 0.028, mean tau: 0.2610: 32%|███▏ | 320/1000 [00:05<00:12, 55.76it/s]
fit stat: 5974.5293 (best: 5974.5293, rho: 0.091, sigma2: 0.028, mean tau: 0.2610: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.4585 (best: 5974.4585, rho: 0.090, sigma2: 0.028, mean tau: 0.2609: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.3882 (best: 5974.3882, rho: 0.090, sigma2: 0.028, mean tau: 0.2609: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.3315 (best: 5974.3315, rho: 0.090, sigma2: 0.028, mean tau: 0.2608: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.2622 (best: 5974.2622, rho: 0.090, sigma2: 0.029, mean tau: 0.2608: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.2012 (best: 5974.2012, rho: 0.089, sigma2: 0.029, mean tau: 0.2607: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.1328 (best: 5974.1328, rho: 0.089, sigma2: 0.029, mean tau: 0.2607: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.0762 (best: 5974.0762, rho: 0.089, sigma2: 0.029, mean tau: 0.2607: 33%|███▎ | 326/1000 [00:05<00:14, 47.20it/s]
fit stat: 5974.0762 (best: 5974.0762, rho: 0.089, sigma2: 0.029, mean tau: 0.2607: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5974.0122 (best: 5974.0122, rho: 0.089, sigma2: 0.029, mean tau: 0.2606: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.9595 (best: 5973.9595, rho: 0.088, sigma2: 0.029, mean tau: 0.2606: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.9043 (best: 5973.9043, rho: 0.088, sigma2: 0.029, mean tau: 0.2606: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.8457 (best: 5973.8457, rho: 0.088, sigma2: 0.029, mean tau: 0.2605: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.7939 (best: 5973.7939, rho: 0.088, sigma2: 0.029, mean tau: 0.2605: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.7334 (best: 5973.7334, rho: 0.087, sigma2: 0.029, mean tau: 0.2604: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.6860 (best: 5973.6860, rho: 0.087, sigma2: 0.029, mean tau: 0.2604: 33%|███▎ | 333/1000 [00:05<00:13, 50.80it/s]
fit stat: 5973.6860 (best: 5973.6860, rho: 0.087, sigma2: 0.029, mean tau: 0.2604: 34%|███▍ | 340/1000 [00:05<00:12, 54.55it/s]
fit stat: 5973.6367 (best: 5973.6367, rho: 0.087, sigma2: 0.029, mean tau: 0.2604: 34%|███▍ | 340/1000 [00:05<00:12, 54.55it/s]
fit stat: 5973.5864 (best: 5973.5864, rho: 0.087, sigma2: 0.029, mean tau: 0.2603: 34%|███▍ | 340/1000 [00:05<00:12, 54.55it/s]
fit stat: 5973.5376 (best: 5973.5376, rho: 0.087, sigma2: 0.029, mean tau: 0.2603: 34%|███▍ | 340/1000 [00:05<00:12, 54.55it/s]
fit stat: 5973.4878 (best: 5973.4878, rho: 0.086, sigma2: 0.029, mean tau: 0.2603: 34%|███▍ | 340/1000 [00:06<00:12, 54.55it/s]
fit stat: 5973.4365 (best: 5973.4365, rho: 0.086, sigma2: 0.029, mean tau: 0.2602: 34%|███▍ | 340/1000 [00:06<00:12, 54.55it/s]
fit stat: 5973.3975 (best: 5973.3975, rho: 0.086, sigma2: 0.029, mean tau: 0.2602: 34%|███▍ | 340/1000 [00:06<00:12, 54.55it/s]
fit stat: 5973.3477 (best: 5973.3477, rho: 0.086, sigma2: 0.029, mean tau: 0.2602: 34%|███▍ | 340/1000 [00:06<00:12, 54.55it/s]
fit stat: 5973.3477 (best: 5973.3477, rho: 0.086, sigma2: 0.029, mean tau: 0.2602: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.3057 (best: 5973.3057, rho: 0.085, sigma2: 0.029, mean tau: 0.2601: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.2588 (best: 5973.2588, rho: 0.085, sigma2: 0.029, mean tau: 0.2601: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.2227 (best: 5973.2227, rho: 0.085, sigma2: 0.029, mean tau: 0.2601: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.1812 (best: 5973.1812, rho: 0.085, sigma2: 0.029, mean tau: 0.2600: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.1406 (best: 5973.1406, rho: 0.085, sigma2: 0.029, mean tau: 0.2600: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.0942 (best: 5973.0942, rho: 0.084, sigma2: 0.029, mean tau: 0.2600: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.0576 (best: 5973.0576, rho: 0.084, sigma2: 0.029, mean tau: 0.2599: 35%|███▍ | 347/1000 [00:06<00:11, 57.66it/s]
fit stat: 5973.0576 (best: 5973.0576, rho: 0.084, sigma2: 0.029, mean tau: 0.2599: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5973.0225 (best: 5973.0225, rho: 0.084, sigma2: 0.029, mean tau: 0.2599: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.9868 (best: 5972.9868, rho: 0.084, sigma2: 0.029, mean tau: 0.2599: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.9497 (best: 5972.9497, rho: 0.084, sigma2: 0.029, mean tau: 0.2598: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.9160 (best: 5972.9160, rho: 0.083, sigma2: 0.029, mean tau: 0.2598: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.8745 (best: 5972.8745, rho: 0.083, sigma2: 0.029, mean tau: 0.2598: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.8398 (best: 5972.8398, rho: 0.083, sigma2: 0.029, mean tau: 0.2597: 35%|███▌ | 354/1000 [00:06<00:11, 58.51it/s]
fit stat: 5972.8398 (best: 5972.8398, rho: 0.083, sigma2: 0.029, mean tau: 0.2597: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.8110 (best: 5972.8110, rho: 0.083, sigma2: 0.029, mean tau: 0.2597: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.7812 (best: 5972.7812, rho: 0.083, sigma2: 0.029, mean tau: 0.2597: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.7402 (best: 5972.7402, rho: 0.082, sigma2: 0.029, mean tau: 0.2597: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.7056 (best: 5972.7056, rho: 0.082, sigma2: 0.029, mean tau: 0.2596: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.6841 (best: 5972.6841, rho: 0.082, sigma2: 0.029, mean tau: 0.2596: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.6460 (best: 5972.6460, rho: 0.082, sigma2: 0.029, mean tau: 0.2596: 36%|███▌ | 360/1000 [00:06<00:10, 58.33it/s]
fit stat: 5972.6460 (best: 5972.6460, rho: 0.082, sigma2: 0.029, mean tau: 0.2596: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.6274 (best: 5972.6274, rho: 0.082, sigma2: 0.029, mean tau: 0.2595: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.5859 (best: 5972.5859, rho: 0.082, sigma2: 0.029, mean tau: 0.2595: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.5601 (best: 5972.5601, rho: 0.081, sigma2: 0.029, mean tau: 0.2595: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.5342 (best: 5972.5342, rho: 0.081, sigma2: 0.029, mean tau: 0.2595: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.5024 (best: 5972.5024, rho: 0.081, sigma2: 0.029, mean tau: 0.2594: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.4731 (best: 5972.4731, rho: 0.081, sigma2: 0.029, mean tau: 0.2594: 37%|███▋ | 366/1000 [00:06<00:12, 51.52it/s]
fit stat: 5972.4731 (best: 5972.4731, rho: 0.081, sigma2: 0.029, mean tau: 0.2594: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.4487 (best: 5972.4487, rho: 0.081, sigma2: 0.029, mean tau: 0.2594: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.4297 (best: 5972.4297, rho: 0.081, sigma2: 0.029, mean tau: 0.2594: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.3989 (best: 5972.3989, rho: 0.080, sigma2: 0.029, mean tau: 0.2593: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.3696 (best: 5972.3696, rho: 0.080, sigma2: 0.029, mean tau: 0.2593: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.3501 (best: 5972.3501, rho: 0.080, sigma2: 0.029, mean tau: 0.2593: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.3257 (best: 5972.3257, rho: 0.080, sigma2: 0.029, mean tau: 0.2593: 37%|███▋ | 372/1000 [00:06<00:12, 51.87it/s]
fit stat: 5972.3257 (best: 5972.3257, rho: 0.080, sigma2: 0.029, mean tau: 0.2593: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.3032 (best: 5972.3032, rho: 0.080, sigma2: 0.029, mean tau: 0.2592: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.2817 (best: 5972.2817, rho: 0.080, sigma2: 0.029, mean tau: 0.2592: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.2495 (best: 5972.2495, rho: 0.079, sigma2: 0.029, mean tau: 0.2592: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.2344 (best: 5972.2344, rho: 0.079, sigma2: 0.029, mean tau: 0.2592: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.2070 (best: 5972.2070, rho: 0.079, sigma2: 0.029, mean tau: 0.2591: 38%|███▊ | 378/1000 [00:06<00:12, 48.18it/s]
fit stat: 5972.2070 (best: 5972.2070, rho: 0.079, sigma2: 0.029, mean tau: 0.2591: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.1875 (best: 5972.1875, rho: 0.079, sigma2: 0.029, mean tau: 0.2591: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.1689 (best: 5972.1689, rho: 0.079, sigma2: 0.029, mean tau: 0.2591: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.1470 (best: 5972.1470, rho: 0.079, sigma2: 0.029, mean tau: 0.2591: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.1240 (best: 5972.1240, rho: 0.079, sigma2: 0.029, mean tau: 0.2590: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.1025 (best: 5972.1025, rho: 0.078, sigma2: 0.029, mean tau: 0.2590: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.0806 (best: 5972.0806, rho: 0.078, sigma2: 0.029, mean tau: 0.2590: 38%|███▊ | 383/1000 [00:06<00:12, 48.58it/s]
fit stat: 5972.0806 (best: 5972.0806, rho: 0.078, sigma2: 0.029, mean tau: 0.2590: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5972.0649 (best: 5972.0649, rho: 0.078, sigma2: 0.029, mean tau: 0.2590: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5972.0479 (best: 5972.0479, rho: 0.078, sigma2: 0.029, mean tau: 0.2590: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5972.0215 (best: 5972.0215, rho: 0.078, sigma2: 0.029, mean tau: 0.2589: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5972.0103 (best: 5972.0103, rho: 0.078, sigma2: 0.029, mean tau: 0.2589: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5971.9902 (best: 5971.9902, rho: 0.077, sigma2: 0.029, mean tau: 0.2589: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5971.9702 (best: 5971.9702, rho: 0.077, sigma2: 0.029, mean tau: 0.2589: 39%|███▉ | 389/1000 [00:06<00:11, 51.48it/s]
fit stat: 5971.9531 (best: 5971.9531, rho: 0.077, sigma2: 0.029, mean tau: 0.2589: 39%|███▉ | 389/1000 [00:07<00:11, 51.48it/s]
fit stat: 5971.9531 (best: 5971.9531, rho: 0.077, sigma2: 0.029, mean tau: 0.2589: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.9399 (best: 5971.9399, rho: 0.077, sigma2: 0.029, mean tau: 0.2588: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.9194 (best: 5971.9194, rho: 0.077, sigma2: 0.029, mean tau: 0.2588: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.9043 (best: 5971.9043, rho: 0.077, sigma2: 0.029, mean tau: 0.2588: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.8867 (best: 5971.8867, rho: 0.077, sigma2: 0.029, mean tau: 0.2588: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.8735 (best: 5971.8735, rho: 0.077, sigma2: 0.029, mean tau: 0.2588: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.8540 (best: 5971.8540, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|███▉ | 396/1000 [00:07<00:11, 53.64it/s]
fit stat: 5971.8540 (best: 5971.8540, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.8423 (best: 5971.8423, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.8242 (best: 5971.8242, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.8081 (best: 5971.8081, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.7988 (best: 5971.7988, rho: 0.076, sigma2: 0.029, mean tau: 0.2587: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.7798 (best: 5971.7798, rho: 0.076, sigma2: 0.029, mean tau: 0.2586: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.7637 (best: 5971.7637, rho: 0.076, sigma2: 0.029, mean tau: 0.2586: 40%|████ | 402/1000 [00:07<00:11, 54.30it/s]
fit stat: 5971.7637 (best: 5971.7637, rho: 0.076, sigma2: 0.029, mean tau: 0.2586: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.7505 (best: 5971.7505, rho: 0.076, sigma2: 0.029, mean tau: 0.2586: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.7393 (best: 5971.7393, rho: 0.075, sigma2: 0.029, mean tau: 0.2586: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.7271 (best: 5971.7271, rho: 0.075, sigma2: 0.029, mean tau: 0.2586: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.7197 (best: 5971.7197, rho: 0.075, sigma2: 0.029, mean tau: 0.2586: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.6924 (best: 5971.6924, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.6919 (best: 5971.6919, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.6758 (best: 5971.6758, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.6660 (best: 5971.6660, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 41%|████ | 408/1000 [00:07<00:10, 55.72it/s]
fit stat: 5971.6660 (best: 5971.6660, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.6484 (best: 5971.6484, rho: 0.075, sigma2: 0.029, mean tau: 0.2585: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.6372 (best: 5971.6372, rho: 0.074, sigma2: 0.029, mean tau: 0.2585: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.6294 (best: 5971.6294, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.6211 (best: 5971.6211, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.6035 (best: 5971.6035, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.5957 (best: 5971.5957, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.5806 (best: 5971.5806, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 416/1000 [00:07<00:09, 60.63it/s]
fit stat: 5971.5806 (best: 5971.5806, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5732 (best: 5971.5732, rho: 0.074, sigma2: 0.029, mean tau: 0.2584: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5640 (best: 5971.5640, rho: 0.074, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5513 (best: 5971.5513, rho: 0.074, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5449 (best: 5971.5449, rho: 0.074, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5317 (best: 5971.5317, rho: 0.073, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5215 (best: 5971.5215, rho: 0.073, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5200 (best: 5971.5200, rho: 0.073, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5059 (best: 5971.5059, rho: 0.073, sigma2: 0.029, mean tau: 0.2583: 42%|████▏ | 423/1000 [00:07<00:09, 62.69it/s]
fit stat: 5971.5059 (best: 5971.5059, rho: 0.073, sigma2: 0.029, mean tau: 0.2583: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4956 (best: 5971.4956, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4858 (best: 5971.4858, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4746 (best: 5971.4746, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4648 (best: 5971.4648, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4619 (best: 5971.4619, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4502 (best: 5971.4502, rho: 0.073, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4438 (best: 5971.4438, rho: 0.072, sigma2: 0.029, mean tau: 0.2582: 43%|████▎ | 431/1000 [00:07<00:08, 66.62it/s]
fit stat: 5971.4438 (best: 5971.4438, rho: 0.072, sigma2: 0.029, mean tau: 0.2582: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.4307 (best: 5971.4307, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.4263 (best: 5971.4263, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.4150 (best: 5971.4150, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.4150 (best: 5971.4150, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.4053 (best: 5971.4053, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.3975 (best: 5971.3975, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.3926 (best: 5971.3926, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 438/1000 [00:07<00:11, 50.61it/s]
fit stat: 5971.3926 (best: 5971.3926, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 445/1000 [00:07<00:10, 52.85it/s]
fit stat: 5971.3862 (best: 5971.3862, rho: 0.072, sigma2: 0.029, mean tau: 0.2581: 44%|████▍ | 445/1000 [00:07<00:10, 52.85it/s]
fit stat: 5971.3770 (best: 5971.3770, rho: 0.072, sigma2: 0.029, mean tau: 0.2580: 44%|████▍ | 445/1000 [00:07<00:10, 52.85it/s]
fit stat: 5971.3672 (best: 5971.3672, rho: 0.072, sigma2: 0.029, mean tau: 0.2580: 44%|████▍ | 445/1000 [00:07<00:10, 52.85it/s]
fit stat: 5971.3647 (best: 5971.3647, rho: 0.072, sigma2: 0.029, mean tau: 0.2580: 44%|████▍ | 445/1000 [00:07<00:10, 52.85it/s]
fit stat: 5971.3555 (best: 5971.3555, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 44%|████▍ | 445/1000 [00:08<00:10, 52.85it/s]
fit stat: 5971.3486 (best: 5971.3486, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 44%|████▍ | 445/1000 [00:08<00:10, 52.85it/s]
fit stat: 5971.3486 (best: 5971.3486, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3418 (best: 5971.3418, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3369 (best: 5971.3369, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3330 (best: 5971.3330, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3301 (best: 5971.3301, rho: 0.071, sigma2: 0.029, mean tau: 0.2580: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3223 (best: 5971.3223, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3135 (best: 5971.3135, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 45%|████▌ | 451/1000 [00:08<00:11, 48.94it/s]
fit stat: 5971.3135 (best: 5971.3135, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.3091 (best: 5971.3091, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.3057 (best: 5971.3057, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.3027 (best: 5971.3027, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.2910 (best: 5971.2910, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.2896 (best: 5971.2896, rho: 0.071, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.2832 (best: 5971.2832, rho: 0.070, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.2749 (best: 5971.2749, rho: 0.070, sigma2: 0.029, mean tau: 0.2579: 46%|████▌ | 457/1000 [00:08<00:10, 50.57it/s]
fit stat: 5971.2749 (best: 5971.2749, rho: 0.070, sigma2: 0.029, mean tau: 0.2579: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2700 (best: 5971.2700, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2656 (best: 5971.2656, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2642 (best: 5971.2642, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2568 (best: 5971.2568, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2573 (best: 5971.2568, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2485 (best: 5971.2485, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2461 (best: 5971.2461, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 46%|████▋ | 464/1000 [00:08<00:09, 54.64it/s]
fit stat: 5971.2461 (best: 5971.2461, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2373 (best: 5971.2373, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2358 (best: 5971.2358, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2300 (best: 5971.2300, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2261 (best: 5971.2261, rho: 0.070, sigma2: 0.029, mean tau: 0.2578: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2222 (best: 5971.2222, rho: 0.070, sigma2: 0.029, mean tau: 0.2577: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2227 (best: 5971.2222, rho: 0.070, sigma2: 0.029, mean tau: 0.2577: 47%|████▋ | 471/1000 [00:08<00:09, 57.82it/s]
fit stat: 5971.2227 (best: 5971.2222, rho: 0.070, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.2183 (best: 5971.2183, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.2061 (best: 5971.2061, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.2021 (best: 5971.2021, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.1992 (best: 5971.1992, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.2002 (best: 5971.1992, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.1948 (best: 5971.1948, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 477/1000 [00:08<00:09, 53.47it/s]
fit stat: 5971.1948 (best: 5971.1948, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1924 (best: 5971.1924, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1865 (best: 5971.1865, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1865 (best: 5971.1865, rho: 0.069, sigma2: 0.029, mean tau: 0.2577: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1802 (best: 5971.1802, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1807 (best: 5971.1802, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1719 (best: 5971.1719, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1729 (best: 5971.1719, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 48%|████▊ | 483/1000 [00:08<00:11, 46.39it/s]
fit stat: 5971.1729 (best: 5971.1719, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1680 (best: 5971.1680, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1665 (best: 5971.1665, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1602 (best: 5971.1602, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1621 (best: 5971.1602, rho: 0.069, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1592 (best: 5971.1592, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1519 (best: 5971.1519, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1523 (best: 5971.1519, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 49%|████▉ | 490/1000 [00:08<00:09, 51.40it/s]
fit stat: 5971.1523 (best: 5971.1519, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1460 (best: 5971.1460, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1455 (best: 5971.1455, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1426 (best: 5971.1426, rho: 0.068, sigma2: 0.029, mean tau: 0.2576: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1396 (best: 5971.1396, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1421 (best: 5971.1396, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1353 (best: 5971.1353, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1372 (best: 5971.1353, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|████▉ | 497/1000 [00:08<00:09, 53.77it/s]
fit stat: 5971.1372 (best: 5971.1353, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:08<00:08, 56.45it/s]
fit stat: 5971.1289 (best: 5971.1289, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1270 (best: 5971.1270, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1265 (best: 5971.1265, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1206 (best: 5971.1206, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1143 (best: 5971.1143, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1177 (best: 5971.1143, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 50%|█████ | 504/1000 [00:09<00:08, 56.45it/s]
fit stat: 5971.1177 (best: 5971.1143, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1157 (best: 5971.1143, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1108 (best: 5971.1108, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1133 (best: 5971.1108, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1099 (best: 5971.1099, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1069 (best: 5971.1069, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1069 (best: 5971.1069, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 51%|█████ | 510/1000 [00:09<00:08, 55.72it/s]
fit stat: 5971.1069 (best: 5971.1069, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.1069 (best: 5971.1069, rho: 0.068, sigma2: 0.029, mean tau: 0.2575: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.1001 (best: 5971.1001, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.0957 (best: 5971.0957, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.0996 (best: 5971.0957, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.0957 (best: 5971.0957, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.0938 (best: 5971.0938, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 516/1000 [00:09<00:08, 56.56it/s]
fit stat: 5971.0938 (best: 5971.0938, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0933 (best: 5971.0933, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0928 (best: 5971.0928, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0928 (best: 5971.0928, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0889 (best: 5971.0889, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0908 (best: 5971.0889, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0864 (best: 5971.0864, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0869 (best: 5971.0864, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0869 (best: 5971.0864, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 52%|█████▏ | 522/1000 [00:09<00:08, 56.90it/s]
fit stat: 5971.0869 (best: 5971.0864, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0806 (best: 5971.0806, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0830 (best: 5971.0806, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0786 (best: 5971.0786, rho: 0.067, sigma2: 0.029, mean tau: 0.2574: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0737 (best: 5971.0737, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0688 (best: 5971.0688, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0713 (best: 5971.0688, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0728 (best: 5971.0688, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 53%|█████▎ | 530/1000 [00:09<00:07, 61.29it/s]
fit stat: 5971.0728 (best: 5971.0688, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0674 (best: 5971.0674, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0688 (best: 5971.0674, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0669 (best: 5971.0669, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0679 (best: 5971.0669, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0645 (best: 5971.0645, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0659 (best: 5971.0645, rho: 0.067, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0610 (best: 5971.0610, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▎ | 537/1000 [00:09<00:07, 62.69it/s]
fit stat: 5971.0610 (best: 5971.0610, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0659 (best: 5971.0610, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0615 (best: 5971.0610, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0557 (best: 5971.0557, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0586 (best: 5971.0557, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0562 (best: 5971.0557, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0605 (best: 5971.0557, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0542 (best: 5971.0542, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 54%|█████▍ | 544/1000 [00:09<00:07, 60.78it/s]
fit stat: 5971.0542 (best: 5971.0542, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0547 (best: 5971.0542, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0542 (best: 5971.0542, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0562 (best: 5971.0542, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0527 (best: 5971.0527, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0518 (best: 5971.0518, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0571 (best: 5971.0518, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 55%|█████▌ | 551/1000 [00:09<00:07, 57.77it/s]
fit stat: 5971.0571 (best: 5971.0518, rho: 0.066, sigma2: 0.029, mean tau: 0.2573: 56%|█████▌ | 557/1000 [00:09<00:10, 44.05it/s]
fit stat: 5971.0498 (best: 5971.0498, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0508 (best: 5971.0498, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0459 (best: 5971.0459, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0488 (best: 5971.0459, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0469 (best: 5971.0459, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0469 (best: 5971.0459, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▌ | 557/1000 [00:10<00:10, 44.05it/s]
fit stat: 5971.0469 (best: 5971.0459, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0420 (best: 5971.0420, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0469 (best: 5971.0420, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0454 (best: 5971.0420, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0439 (best: 5971.0420, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0430 (best: 5971.0420, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0405 (best: 5971.0405, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 56%|█████▋ | 563/1000 [00:10<00:09, 47.45it/s]
fit stat: 5971.0405 (best: 5971.0405, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0439 (best: 5971.0405, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0391 (best: 5971.0391, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0381 (best: 5971.0381, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0381 (best: 5971.0381, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0371 (best: 5971.0371, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0381 (best: 5971.0371, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▋ | 569/1000 [00:10<00:09, 47.36it/s]
fit stat: 5971.0381 (best: 5971.0371, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0386 (best: 5971.0371, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0347 (best: 5971.0347, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0352 (best: 5971.0347, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0337 (best: 5971.0337, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0327 (best: 5971.0327, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 57%|█████▊ | 575/1000 [00:10<00:11, 37.27it/s]
fit stat: 5971.0327 (best: 5971.0327, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0308 (best: 5971.0308, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0312 (best: 5971.0308, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0288 (best: 5971.0288, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0332 (best: 5971.0288, rho: 0.066, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0278 (best: 5971.0278, rho: 0.065, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 580/1000 [00:10<00:11, 36.69it/s]
fit stat: 5971.0278 (best: 5971.0278, rho: 0.065, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0317 (best: 5971.0278, rho: 0.065, sigma2: 0.029, mean tau: 0.2572: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0254 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0298 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0278 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0273 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0269 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 58%|█████▊ | 585/1000 [00:10<00:11, 37.26it/s]
fit stat: 5971.0269 (best: 5971.0254, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0249 (best: 5971.0249, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0288 (best: 5971.0249, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0215 (best: 5971.0215, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0249 (best: 5971.0215, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0225 (best: 5971.0215, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0225 (best: 5971.0215, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0166 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 59%|█████▉ | 591/1000 [00:10<00:09, 41.38it/s]
fit stat: 5971.0166 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:10<00:08, 46.59it/s]
fit stat: 5971.0190 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:10<00:08, 46.59it/s]
fit stat: 5971.0215 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:10<00:08, 46.59it/s]
fit stat: 5971.0200 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:11<00:08, 46.59it/s]
fit stat: 5971.0195 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:11<00:08, 46.59it/s]
fit stat: 5971.0171 (best: 5971.0166, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:11<00:08, 46.59it/s]
fit stat: 5971.0161 (best: 5971.0161, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:11<00:08, 46.59it/s]
fit stat: 5971.0210 (best: 5971.0161, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|█████▉ | 598/1000 [00:11<00:08, 46.59it/s]
fit stat: 5971.0210 (best: 5971.0161, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0151 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0176 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0171 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0176 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0151 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0186 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 60%|██████ | 605/1000 [00:11<00:07, 51.03it/s]
fit stat: 5971.0186 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0176 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0156 (best: 5971.0151, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0137 (best: 5971.0137, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0117 (best: 5971.0117, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0098 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0161 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0181 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 61%|██████ | 611/1000 [00:11<00:07, 52.93it/s]
fit stat: 5971.0181 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0181 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0127 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0127 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0186 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0161 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0132 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0151 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▏ | 618/1000 [00:11<00:06, 55.51it/s]
fit stat: 5971.0151 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0122 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0103 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0142 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0156 (best: 5971.0098, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0093 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0117 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0093 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 62%|██████▎ | 625/1000 [00:11<00:06, 58.03it/s]
fit stat: 5971.0093 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0161 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0112 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0117 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0146 (best: 5971.0093, rho: 0.065, sigma2: 0.029, mean tau: 0.2571: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0073 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0103 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0122 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 63%|██████▎ | 632/1000 [00:11<00:06, 59.71it/s]
fit stat: 5971.0122 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0117 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0073 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0078 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0107 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0083 (best: 5971.0073, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0063 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 639/1000 [00:11<00:06, 58.16it/s]
fit stat: 5971.0063 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0083 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0093 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0122 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0068 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0068 (best: 5971.0063, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0049 (best: 5971.0049, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0068 (best: 5971.0049, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 64%|██████▍ | 645/1000 [00:11<00:06, 56.97it/s]
fit stat: 5971.0068 (best: 5971.0049, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0049 (best: 5971.0049, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0054 (best: 5971.0049, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0029 (best: 5971.0029, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0020 (best: 5971.0020, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0015 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:11<00:05, 58.58it/s]
fit stat: 5971.0083 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 65%|██████▌ | 652/1000 [00:12<00:05, 58.58it/s]
fit stat: 5971.0083 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0039 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0029 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0029 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0029 (best: 5971.0015, rho: 0.065, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0000 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0068 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▌ | 658/1000 [00:12<00:06, 50.87it/s]
fit stat: 5971.0068 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0103 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0063 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0020 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0029 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0034 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0020 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 66%|██████▋ | 664/1000 [00:12<00:06, 48.91it/s]
fit stat: 5971.0020 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0024 (best: 5971.0000, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5970.9990 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0000 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0000 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0044 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0005 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 67%|██████▋ | 670/1000 [00:12<00:06, 50.52it/s]
fit stat: 5971.0005 (best: 5970.9990, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5970.9956 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5970.9985 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5971.0015 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5971.0029 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5970.9966 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 676/1000 [00:12<00:06, 48.72it/s]
fit stat: 5970.9966 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5970.9980 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5971.0005 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5970.9990 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5971.0024 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5971.0020 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 68%|██████▊ | 681/1000 [00:12<00:06, 47.55it/s]
fit stat: 5971.0020 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5970.9956 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5970.9956 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5971.0005 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5970.9990 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5970.9995 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▊ | 686/1000 [00:12<00:06, 47.89it/s]
fit stat: 5970.9995 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5971.0000 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9985 (best: 5970.9956, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9951 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9956 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9971 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9976 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 69%|██████▉ | 691/1000 [00:12<00:07, 42.06it/s]
fit stat: 5970.9976 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5970.9980 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5971.0010 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5970.9951 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5971.0020 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5970.9985 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|██████▉ | 697/1000 [00:12<00:06, 45.33it/s]
fit stat: 5970.9985 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:12<00:06, 44.84it/s]
fit stat: 5970.9990 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:13<00:06, 44.84it/s]
fit stat: 5970.9956 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:13<00:06, 44.84it/s]
fit stat: 5970.9971 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:13<00:06, 44.84it/s]
fit stat: 5970.9990 (best: 5970.9951, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:13<00:06, 44.84it/s]
fit stat: 5970.9946 (best: 5970.9946, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 70%|███████ | 702/1000 [00:13<00:06, 44.84it/s]
fit stat: 5970.9946 (best: 5970.9946, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9976 (best: 5970.9946, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9971 (best: 5970.9946, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9941 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9956 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9961 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9956 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9961 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████ | 707/1000 [00:13<00:06, 45.24it/s]
fit stat: 5970.9961 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9951 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9951 (best: 5970.9941, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9907 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9971 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9976 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9956 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9951 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 71%|███████▏ | 714/1000 [00:13<00:05, 49.50it/s]
fit stat: 5970.9951 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9966 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9917 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9946 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9907 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9907 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9956 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 72%|███████▏ | 721/1000 [00:13<00:05, 54.63it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9932 (best: 5970.9907, rho: 0.064, sigma2: 0.029, mean tau: 0.2570: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9888 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9902 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9912 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9922 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 73%|███████▎ | 729/1000 [00:13<00:04, 60.48it/s]
fit stat: 5970.9922 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9937 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9927 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9966 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9951 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9951 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9946 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9917 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▎ | 736/1000 [00:13<00:04, 61.65it/s]
fit stat: 5970.9917 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9966 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9966 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9927 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9941 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9946 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9971 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9912 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 74%|███████▍ | 743/1000 [00:13<00:04, 63.37it/s]
fit stat: 5970.9912 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9922 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9941 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9951 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9951 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9907 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9912 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9961 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 75%|███████▌ | 750/1000 [00:13<00:03, 64.28it/s]
fit stat: 5970.9961 (best: 5970.9888, rho: 0.064, sigma2: 0.029, mean tau: 0.2569: 76%|███████▌ | 756/1000 [00:13<00:04, 54.51it/s]
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s]
LL: -8432.8848: 0%| | 0/1000 [00:02<?, ?it/s]
LL: -8432.8848: 0%| | 1/1000 [00:02<40:53, 2.46s/it]
LL: -8432.8848: 0%| | 1/1000 [00:02<40:53, 2.46s/it]
LL: -8432.8848: 0%| | 2/1000 [00:02<19:26, 1.17s/it]
LL: -8432.8848: 0%| | 2/1000 [00:02<19:26, 1.17s/it]
LL: -8432.8848: 0%| | 3/1000 [00:02<12:37, 1.32it/s]
LL: -8432.8848: 0%| | 3/1000 [00:03<12:37, 1.32it/s]
LL: -8432.8848: 0%| | 4/1000 [00:03<09:04, 1.83it/s]
LL: -8432.8848: 0%| | 4/1000 [00:03<09:04, 1.83it/s]
LL: -8432.8848: 0%| | 5/1000 [00:03<06:55, 2.40it/s]
LL: -8432.8848: 0%| | 5/1000 [00:03<06:55, 2.40it/s]
LL: -8432.8848: 1%| | 6/1000 [00:03<05:35, 2.97it/s]
LL: -8432.8838: 1%| | 6/1000 [00:03<05:35, 2.97it/s]
LL: -8432.8838: 1%| | 7/1000 [00:03<04:51, 3.41it/s]
LL: -8432.8848: 1%| | 7/1000 [00:04<04:51, 3.41it/s]
LL: -8432.8848: 1%| | 8/1000 [00:04<04:28, 3.69it/s]
LL: -8432.8848: 1%| | 8/1000 [00:04<04:28, 3.69it/s]
LL: -8432.8848: 1%| | 9/1000 [00:04<04:06, 4.01it/s]
LL: -8432.8848: 1%| | 9/1000 [00:04<04:06, 4.01it/s]
LL: -8432.8848: 1%| | 10/1000 [00:04<03:49, 4.30it/s]
LL: -8432.8838: 1%| | 10/1000 [00:04<03:49, 4.30it/s]
LL: -8432.8838: 1%| | 11/1000 [00:04<03:36, 4.57it/s]
LL: -8432.8838: 1%| | 11/1000 [00:04<03:36, 4.57it/s]
LL: -8432.8838: 1%| | 12/1000 [00:04<03:35, 4.59it/s]
LL: -8432.8838: 1%| | 12/1000 [00:05<03:35, 4.59it/s]
LL: -8432.8838: 1%|▏ | 13/1000 [00:05<03:42, 4.44it/s]
LL: -8432.8838: 1%|▏ | 13/1000 [00:05<03:42, 4.44it/s]
LL: -8432.8838: 1%|▏ | 14/1000 [00:05<03:39, 4.49it/s]
LL: -8432.8848: 1%|▏ | 14/1000 [00:05<03:39, 4.49it/s]
LL: -8432.8848: 2%|▏ | 15/1000 [00:05<03:32, 4.64it/s]
LL: -8432.8838: 2%|▏ | 15/1000 [00:05<03:32, 4.64it/s]
LL: -8432.8838: 2%|▏ | 16/1000 [00:05<03:29, 4.70it/s]
LL: -8432.8848: 2%|▏ | 16/1000 [00:05<03:29, 4.70it/s]
LL: -8432.8848: 2%|▏ | 17/1000 [00:05<03:22, 4.85it/s]
LL: -8432.8838: 2%|▏ | 17/1000 [00:06<03:22, 4.85it/s]
LL: -8432.8838: 2%|▏ | 18/1000 [00:06<03:23, 4.83it/s]
LL: -8432.8838: 2%|▏ | 18/1000 [00:07<03:23, 4.83it/s]
LL: -8432.8838: 2%|▏ | 19/1000 [00:07<08:11, 1.99it/s]
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"""
Reconstruct stimulus with L2-norm
---------------------------------
Note how this reconstructed stimulus is very sparse and doesn't look a lot like
the actual image. Part of the problem is that
the optimisation is very unconstrained: we have 250 voxels times
150 (correlated!) datapoints, but ~800 time 150 stimulus pixels
We can induce less extreme intensities, and thereby less
sparseness, by inducing a L2-penalty on the stimulus intensities
"""
reconstructed_stimulus = stim_fitter.fit(legacy_adam=True, min_n_iterations=200, max_n_iterations=1000, learning_rate=0.1, l2_norm=0.01)
play_reconstruction(reconstructed_stimulus)
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"""
Reconstruct stimulus with L1-norm
---------------------------------
For completeness, one can also use a sparse-inducing L1-norm
"""
reconstructed_stimulus = stim_fitter.fit(legacy_adam=True, min_n_iterations=200, max_n_iterations=1000, learning_rate=.1, l1_norm=0.01)
play_reconstruction(reconstructed_stimulus)
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Total running time of the script: (18 minutes 38.036 seconds)