learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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: 20

Training Loss	Epoch	Step	Validation Loss
1.5219	1.0	150	1.5095
1.4556	2.0	300	1.4327
1.377	3.0	450	1.3390
1.3398	4.0	600	1.2920
1.3035	5.0	750	1.2615
1.2632	6.0	900	1.2491
1.2236	7.0	1050	1.2270
1.2066	8.0	1200	1.2137
1.1853	9.0	1350	1.1804
1.1686	10.0	1500	1.1939
1.1531	11.0	1650	1.1614
1.1388	12.0	1800	1.1582
1.1157	13.0	1950	1.1663
1.0953	14.0	2100	1.1516
1.0903	15.0	2250	1.1507
1.0834	16.0	2400	1.1479
1.0779	17.0	2550	1.1305
1.0651	18.0	2700	1.1332
1.0607	19.0	2850	1.1350
1.0567	20.0	3000	1.1380

kaidittm/results

results