learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 20
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: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro	Recall Unfair
0.1406	0.4237	200	0.2180	0.9390	0.9284	0.9197	0.9389	0.9384
0.11	0.8475	400	0.1185	0.9690	0.9632	0.9582	0.9685	0.9674
0.044	1.2712	600	0.1787	0.9615	0.9544	0.9484	0.9611	0.9601
0.0487	1.6949	800	0.1957	0.9583	0.9507	0.9437	0.9588	0.9601
0.0222	2.1186	1000	0.1170	0.9754	0.9707	0.9674	0.9741	0.9710
0.0139	2.5424	1200	0.2559	0.9594	0.9522	0.9434	0.9627	0.9710
0.0165	2.9661	1400	0.1969	0.9679	0.9620	0.9559	0.9688	0.9710

pepppper/roberta-unfair

roberta-unfair