learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
training_steps: 380

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8738	0.1026	39	1.6265	0.4299
1.1232	1.1026	78	0.9534	0.7430
0.86	2.1026	117	0.7309	0.7897
0.5001	3.1026	156	0.5999	0.8131
0.4402	4.1026	195	0.5475	0.8178
0.3291	5.1026	234	0.5903	0.8505
0.2643	6.1026	273	0.5727	0.8271
0.1928	7.1026	312	0.4194	0.8972
0.1749	8.1026	351	0.4278	0.8832
0.1588	9.0763	380	0.4737	0.8832

arielb30/videomae-base-finetuned-hmdb51_dataset

videomae-base-finetuned-hmdb51_dataset