learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 2880

Training Loss	Epoch	Step	Validation Loss	Accuracy
15.6627	0.1	288	3.4526	0.0731
8.4776	1.1	576	1.3603	0.6846
2.4215	2.1	864	0.6975	0.8
1.1762	3.1	1152	0.3879	0.8846
0.6428	4.1	1440	0.2324	0.9385
0.4268	5.1	1728	0.2286	0.9462
0.2475	6.1	2016	0.1329	0.9654
0.1482	7.1	2304	0.1565	0.9615
0.103	8.1	2592	0.1160	0.9769
0.0628	9.1	2880	0.1331	0.9731

Shawon16/VideoMAE_default_fold__2__10_epoch_Aug_batch_1_4_LSA64

VideoMAE_default_fold__2__10_epoch_Aug_batch_1_4_LSA64