learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
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
num_epochs: 50

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.5114	1.0	46	0.8325	0.7	0.8235	0.7	1.0
0.6362	2.0	92	0.7559	0.7	0.8235	0.7	1.0
0.54	3.0	138	0.6932	0.7	0.8235	0.7	1.0
0.4266	4.0	184	0.5539	0.7	0.8	0.75	0.8571
0.2418	5.0	230	0.7236	0.7	0.8235	0.7	1.0
0.2088	6.0	276	0.6816	0.7	0.8235	0.7	1.0
0.1444	7.0	322	0.5416	0.9	0.9333	0.875	1.0
0.1138	8.0	368	0.5843	0.9	0.9333	0.875	1.0
0.0024	9.0	414	0.6265	0.9	0.9333	0.875	1.0
0.1536	10.0	460	0.9787	0.8	0.8571	0.8571	0.8571
0.0016	11.0	506	0.6553	0.9	0.9333	0.875	1.0
0.1379	12.0	552	0.5226	0.9	0.9333	0.875	1.0
0.0011	13.0	598	0.4243	0.9	0.9333	0.875	1.0
0.0009	14.0	644	0.5967	0.9	0.9333	0.875	1.0
0.0007	15.0	690	0.0412	1.0	1.0	1.0	1.0
0.0006	16.0	736	0.3025	0.9	0.9333	0.875	1.0
0.0005	17.0	782	0.5500	0.9	0.9333	0.875	1.0
0.0005	18.0	828	0.6036	0.9	0.9333	0.875	1.0
0.0004	19.0	874	0.6402	0.9	0.9333	0.875	1.0
0.0004	20.0	920	0.6644	0.9	0.9333	0.875	1.0
0.0003	21.0	966	0.6896	0.9	0.9333	0.875	1.0
0.0003	22.0	1012	0.7052	0.9	0.9333	0.875	1.0
0.0003	23.0	1058	0.7198	0.9	0.9333	0.875	1.0