learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3826	0.0139	100	0.1739	0.9443
0.2556	0.0277	200	0.2700	0.9408
0.3383	0.0416	300	0.1667	0.9529
0.3672	0.0554	400	0.9354	0.7975
0.2223	0.0693	500	0.1584	0.9673
0.2197	0.0832	600	0.6363	0.8793
0.2873	0.0970	700	0.2169	0.9462
0.2201	0.1109	800	0.1366	0.9621
0.1695	0.1248	900	0.2912	0.9554
0.1912	0.1386	1000	0.2287	0.9542
0.131	0.1525	1100	0.1136	0.9800
0.1764	0.1663	1200	0.1770	0.9645
0.1195	0.1802	1300	0.1255	0.9755
0.09	0.1941	1400	0.1285	0.9758

charisgao/finetuned_raid_reviews_cleaned

fine_tuned_raid_cleaned