learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc	Precision	Recall	F1	F1-macro	F1-micro	F1-weighted
0.6385	0.2896	500	0.6240	0.666	0.646	0.656	0.96	0.779	0.546	0.666	0.599
0.6294	0.5793	1000	0.6270	0.665	0.652	0.673	0.885	0.764	0.593	0.665	0.632
0.627	0.8689	1500	0.6192	0.669	0.658	0.674	0.891	0.768	0.595	0.669	0.634
0.6126	1.1581	2000	0.6185	0.674	0.662	0.665	0.945	0.781	0.573	0.674	0.621
0.6044	1.4478	2500	0.6155	0.673	0.665	0.669	0.927	0.777	0.582	0.673	0.627
0.5942	1.7374	3000	0.6168	0.674	0.67	0.677	0.897	0.771	0.6	0.674	0.639

adity12345/Roberta_feverous

Roberta_feverous