learning_rate: 2e-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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3966	1.0	173	0.3720	0.6785	0.7508	0.4224
0.3263	2.0	346	0.3824	0.7098	0.7742	0.4052
0.2298	3.0	519	0.3525	0.7210	0.7832	0.4569
0.1699	4.0	692	0.3996	0.6968	0.7673	0.4224
0.115	5.0	865	0.4215	0.7371	0.8025	0.4655
0.0622	6.0	1038	0.4543	0.7425	0.8002	0.4741
0.0609	7.0	1211	0.4787	0.7399	0.8028	0.4741
0.0344	8.0	1384	0.5559	0.7326	0.7927	0.4914
0.0205	9.0	1557	0.5545	0.7486	0.8052	0.4828
0.0153	10.0	1730	0.5612	0.7528	0.8131	0.4914
0.0082	11.0	1903	0.5690	0.7598	0.8118	0.5086
0.0038	12.0	2076	0.6239	0.7358	0.7974	0.4655
0.0047	13.0	2249	0.6296	0.7567	0.8072	0.5086
0.0025	14.0	2422	0.6246	0.7448	0.8028	0.5
0.0018	15.0	2595	0.6347	0.7403	0.8000	0.4828

Kuongan/cs221-roberta-large-eng-pt

cs221-roberta-large-eng-pt