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group
string
experiment
string
model
string
seed
int64
epochs
int64
batch_size
int64
eval_batch_size
int64
lr
float64
optimizer
string
momentum
null
scheduler
null
weight_decay
float64
dropout_rate
float64
early_stopping_patience
null
early_stopping_min_delta
float64
early_stopping_monitor
null
stopped_early
bool
stop_epoch
null
stop_step
null
checkpoint_selection_metric
string
uses_best_checkpoint_for_test
bool
train_loss_at_best_dev
float64
train_acc_at_best_dev
float64
best_dev_loss
float64
best_dev_acc
float64
test_loss
float64
test_acc
float64
best_step
int64
checkpoint
string
history_path
string
plot_path
string
notes
string
augmentation
cnn_clean_training
cnn
309
10
128
256
0.05
sgd
null
null
0.0001
0
null
0
null
false
null
null
dev_score
true
0.049208
0.992188
0.081147
0.9758
0.071095
0.977
3,900
.\outputs\project1_partc\augmentation\cnn_clean_training\saved_models\best_model.pickle
.\outputs\project1_partc\augmentation\cnn_clean_training\logs\history.csv
.\outputs\project1_partc\augmentation\cnn_clean_training\plots\learning_curve.svg
Reference CNN without data augmentation.

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