learning_rate: 2e-05
train_batch_size: 64
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
lr_scheduler_warmup_steps: 2580
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
42.9086	1.0	1032	5.8377	0.5453	0.4382
24.7451	2.0	2064	7.7162	0.5456	0.4388
17.4566	3.0	3096	2.5417	0.6740	0.6637
12.0533	4.0	4128	4.9885	0.8127	0.8126
8.4531	5.0	5160	3.3348	0.8201	0.8197
6.3636	6.0	6192	1.5283	0.8325	0.8324
5.0662	7.0	7224	2.4994	0.8383	0.8382
4.3726	8.0	8256	2.6446	0.8354	0.8351
3.7847	9.0	9288	1.3979	0.8386	0.8386
3.4433	10.0	10320	2.2144	0.8449	0.8449
3.0554	11.0	11352	1.0773	0.8380	0.8367
2.7706	12.0	12384	0.8758	0.8532	0.8533
2.5067	13.0	13416	1.0391	0.8527	0.8526
2.4275	14.0	14448	1.0730	0.8512	0.8513
2.3293	15.0	15480	0.8164	0.8576	0.8576

ttqdunggg/hybrid_lexical_hosting_64_15_v2

hybrid_lexical_hosting_64_15_v2