| | --- |
| | library_name: transformers |
| | license: cc-by-nc-4.0 |
| | base_model: MCG-NJU/videomae-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: videomae-base-finetuned-ucf101-subset |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # videomae-base-finetuned-ucf101-subset |
| |
|
| | 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: 0.5003 |
| | - Accuracy: 0.8143 |
| |
|
| | ## 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 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 |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 2.0549 | 0.2568 | 38 | 1.8693 | 0.2429 | |
| | | 1.055 | 1.2568 | 76 | 1.0217 | 0.6286 | |
| | | 0.4804 | 2.2568 | 114 | 0.6333 | 0.7714 | |
| | | 0.3184 | 3.2297 | 148 | 0.5003 | 0.8143 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.53.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.2 |
| | |
