st_vit_trained-8epoch-ucf101-subset

This model is a fine-tuned version of Tommidi/st_vit_untrained on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0648
• Accuracy: 0.9733

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 296

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6314	0.13	38	0.1264	0.9333
0.3547	1.13	76	0.0077	1.0
0.0189	2.13	114	0.5103	0.9333
0.0611	3.13	152	0.1508	0.9333
0.0027	4.13	190	0.0018	1.0
0.0812	5.13	228	0.0943	0.9333
0.0005	6.13	266	0.0635	0.9667
0.3035	7.1	296	0.0530	0.9667

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1