Videomae Base Finetuned Ucf101 Subset

🚀 videomae-base-finetuned-ucf101-subset

This is a fine - tuned model based on [MCG - NJU/videomae - base](https://huggingface.co/MCG - NJU/videomae - base), which achieves good results on the evaluation set.

🚀 Quick Start

This model is a fine - tuned version of [MCG - NJU/videomae - base](https://huggingface.co/MCG - NJU/videomae - base) on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4803
• Accuracy: 0.8194

📚 Documentation

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

🔧 Technical Details

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 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: 148

Training results

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1

📄 License

This model is licensed under cc - by - nc - 4.0.