learning_rate: 2e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 25

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	73	0.0225	0.9770	0.9860	0.9815	0.9931
No log	2.0	146	0.0194	0.9858	0.9721	0.9789	0.9923
No log	3.0	219	0.0147	0.9907	0.9860	0.9883	0.9957
No log	4.0	292	0.0182	0.9907	0.9907	0.9907	0.9966
No log	5.0	365	0.0144	0.9907	0.9860	0.9883	0.9957
No log	6.0	438	0.0139	0.9907	0.9860	0.9883	0.9957
0.0144	7.0	511	0.0207	0.9907	0.9860	0.9883	0.9957
0.0144	8.0	584	0.0183	0.9906	0.9814	0.9860	0.9948

djsull/intro_classification

hello_classification