Inverted-Pendulum-Neural-Ne.../analysis/best_base_loss_learning_rate_sweep.py

63 lines
2.6 KiB
Python

data = {
'one': {
'csv': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one/lr_0.100',
'csv_loss': 0.07867201417684555,
'constant_loss': 2.5390186309814453
},
'constant': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one/lr_0.100',
'csv_loss': 0.07867201417684555,
'constant_loss': 2.5390186309814453
}
},
'one_fourth': {
'csv': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one_fourth/lr_0.300',
'csv_loss': 0.08876045793294907,
'constant_loss': 2.5319466590881348
},
'constant': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one_fourth/lr_0.250',
'csv_loss': 0.09172269701957703,
'constant_loss': 2.5288496017456055
}
},
'four': {
'csv': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/four/lr_0.200',
'csv_loss': 0.1293140947818756,
'constant_loss': 2.9976892471313477
},
'constant': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/four/lr_0.200',
'csv_loss': 0.1293140947818756,
'constant_loss': 2.9976892471313477
}
},
'two': {
'csv': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/two/lr_0.100',
'csv_loss': 0.07678339630365372,
'constant_loss': 2.5585412979125977
},
'constant': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/two/lr_0.100',
'csv_loss': 0.07678339630365372,
'constant_loss': 2.5585412979125977
}
},
'one_half': {
'csv': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one_half/lr_0.200',
'csv_loss': 0.08620432019233704,
'constant_loss': 2.541421890258789
},
'constant': {
'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/base_loss_learning_rate_sweep/one_half/lr_0.200',
'csv_loss': 0.08620432019233704,
'constant_loss': 2.541421890258789
}
}
}