learning_rate: 7e-06
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_ratio: 0.2
training_steps: 576

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
1.6885	0.1267	73	1.7082	0.1579	0.1853	0.1579	0.4684
1.2348	1.1267	146	1.3958	0.4211	0.4354	0.4211	0.5088
0.8271	2.1267	219	1.1646	0.4737	0.5416	0.4737	0.6754
0.688	3.1267	292	1.0573	0.6316	0.6559	0.6316	0.7018
0.6263	4.1267	365	1.0327	0.5789	0.5982	0.5789	0.6579
0.4942	5.1267	438	1.0107	0.6316	0.6333	0.6316	0.6535
0.3217	6.1267	511	1.0271	0.5789	0.5982	0.5789	0.6579

Asadali12/vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_14

vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_14