learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.1124	1.0	38	1.0985	0.3709	0.2675	0.2579	0.3709
1.0094	2.0	76	0.9154	0.8742	0.8726	0.8883	0.8742
0.4876	3.0	114	0.2264	0.9603	0.9603	0.9604	0.9603
0.169	4.0	152	0.1434	0.9669	0.9670	0.9700	0.9669
0.0587	5.0	190	0.1836	0.9603	0.9602	0.9611	0.9603
0.1567	6.0	228	0.5538	0.9073	0.9063	0.9212	0.9073
0.0874	7.0	266	0.0742	0.9868	0.9868	0.9869	0.9868
0.0276	8.0	304	0.2171	0.9735	0.9736	0.9755	0.9735
0.0958	9.0	342	0.0921	0.9801	0.9800	0.9807	0.9801
0.0356	10.0	380	0.2225	0.9669	0.9672	0.9691	0.9669
0.0008	11.0	418	0.0458	0.9868	0.9867	0.9872	0.9868
0.0281	12.0	456	0.2725	0.9603	0.9601	0.9635	0.9603
0.001	13.0	494	0.1389	0.9735	0.9734	0.9748	0.9735
0.0003	14.0	532	0.0618	0.9934	0.9934	0.9935	0.9934
0.0007	15.0	570	0.3717	0.9470	0.9468	0.9531	0.9470
0.0132	16.0	608	0.2814	0.9669	0.9670	0.9700	0.9669
0.0318	17.0	646	0.2333	0.9735	0.9734	0.9748	0.9735
0.0405	18.0	684	0.2297	0.9669	0.9668	0.9671	0.9669
0.0002	19.0	722	0.1733	0.9801	0.9801	0.9808	0.9801
0.0002	20.0	760	0.1726	0.9801	0.9801	0.9808	0.9801

biblo0507/bert_david

bert_david