videomae-base-finetuned-ssv2-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.7234
• Accuracy: 0.1038

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: 1
• eval_batch_size: 1
• 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: 433

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.2022	1.0	433	4.6145	0.1182

Framework versions

• Transformers 4.44.0
• Pytorch 1.13.0+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1