learning_rate: 1.4638638566821256e-05
train_batch_size: 32
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: 14

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5707	1.0	157	0.5842	0.6895	0.6630
0.4831	2.0	314	0.5444	0.7435	0.7420
0.4363	3.0	471	0.4700	0.775	0.7730
0.3548	4.0	628	0.4781	0.7765	0.7763
0.2468	5.0	785	0.5416	0.786	0.7858
0.2046	6.0	942	0.6293	0.7775	0.7768
0.127	7.0	1099	0.6558	0.7815	0.7802
0.1042	8.0	1256	0.9524	0.742	0.7381
0.0653	9.0	1413	1.0619	0.7485	0.7450
0.0253	10.0	1570	1.0320	0.789	0.7885
0.0405	11.0	1727	1.1028	0.7795	0.7794
0.0106	12.0	1884	1.1150	0.784	0.7840
0.0098	13.0	2041	1.1362	0.785	0.7850
0.0331	14.0	2198	1.1453	0.785	0.7850

Abhi964/Paraphrase_indicBERT_onfull_FT3

Paraphrase_indicBERT_onfull_FT3