videomae-base-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6245
• Accuracy: 0.5882

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: 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: 32

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.25	8	0.8152	0.375
0.712	1.25	16	0.8154	0.4375
0.7356	2.25	24	0.7796	0.5
0.6572	3.25	32	0.7955	0.5

Framework versions

• Transformers 4.51.3
• Pytorch 2.1.0+cu121
• Tokenizers 0.21.1