learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6445	0.2174	50	0.5860	0.7010	0.8201
0.5425	0.4348	100	0.5083	0.7647	0.8509
0.4903	0.6522	150	0.4756	0.7868	0.8621
0.459	0.8696	200	0.4043	0.8309	0.8832
0.3848	1.0870	250	0.3972	0.8505	0.8968
0.2851	1.3043	300	0.4763	0.8235	0.8808
0.2758	1.5217	350	0.3576	0.8701	0.9065
0.2241	1.7391	400	0.4367	0.8456	0.8919
0.2699	1.9565	450	0.3583	0.8554	0.8948
0.1345	2.1739	500	0.4947	0.8578	0.9
0.092	2.3913	550	0.5921	0.8505	0.8968
0.0825	2.6087	600	0.6000	0.8554	0.8985
0.1194	2.8261	650	0.6197	0.8554	0.8985

tminhtri1910/bert-mrpc-analysis

bert-mrpc-analysis