learning_rate: 6e-06
train_batch_size: 12
eval_batch_size: 12
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_ratio: 0.1
training_steps: 288

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
1.7521	0.1701	49	1.7640	0.1579	0.1971	0.1579	0.2632
1.6025	1.1701	98	1.6926	0.2105	0.2205	0.2105	0.2782
1.3708	2.1701	147	1.6164	0.3158	0.3062	0.3158	0.3544
1.1786	3.1701	196	1.5217	0.4211	0.4042	0.4211	0.4158
1.0709	4.1701	245	1.4708	0.5789	0.5987	0.5789	0.7316
1.0057	5.1493	288	1.4721	0.5789	0.5982	0.5789	0.7246

Asadali12/videomae-base-finetuned-cricket_shot_detection_18

videomae-base-finetuned-cricket_shot_detection_18