learning_rate: 3e-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
lr_scheduler_warmup_steps: 500
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	Auc
0.4783	1.0	175	0.5235	0.78	0.7825	0.78	0.8269
0.6121	2.0	350	0.5076	0.816	0.8179	0.816	0.8518
0.3305	3.0	525	0.3910	0.856	0.8660	0.856	0.9222
0.2431	4.0	700	0.8684	0.728	0.8190	0.728	0.8933
0.3337	5.0	875	0.5653	0.808	0.8266	0.808	0.9149
0.1768	6.0	1050	0.4709	0.88	0.8803	0.88	0.9311
0.111	7.0	1225	0.6650	0.848	0.8600	0.848	0.9263
0.1507	8.0	1400	0.6151	0.852	0.8522	0.852	0.9232
0.1771	9.0	1575	0.6924	0.872	0.8729	0.872	0.9280
0.13	10.0	1750	0.6670	0.884	0.8846	0.884	0.9304
0.0062	11.0	1925	0.8110	0.86	0.8621	0.86	0.9198
0.0008	12.0	2100	0.8139	0.876	0.8768	0.876	0.9235
0.0004	13.0	2275	0.8727	0.868	0.8711	0.868	0.9258
0.0005	14.0	2450	1.0055	0.86	0.8658	0.86	0.9250
0.0002	15.0	2625	0.9728	0.864	0.8677	0.864	0.9269

shahadalll/videomae-base-finetuned-ucf-crimevbinaryv4

videomae-base-finetuned-ucf-crimevbinaryv4