learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.6629	1.0	434	0.6679	0.4736	0.6372	0.0751
0.5338	2.0	868	0.5600	0.5979	0.7311	0.2390
0.4899	3.0	1302	0.5366	0.6158	0.7445	0.2702
0.4291	4.0	1736	0.5252	0.6293	0.7556	0.2898
0.4442	5.0	2170	0.5304	0.6273	0.7551	0.2979
0.301	6.0	2604	0.5593	0.6255	0.7522	0.2968
0.2634	7.0	3038	0.5765	0.6269	0.7537	0.3048
0.248	8.0	3472	0.5779	0.6277	0.7544	0.3037

vamshi0317/cf-longformer-finetuned_v

cf-longformer-finetuned_v