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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: videomae-base-finetuned-rwf2000-subset___v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# videomae-base-finetuned-rwf2000-subset___v1 |
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4808 |
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- Accuracy: 0.775 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5205 | 0.2 | 100 | 0.5434 | 0.6837 | |
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| 0.4084 | 1.2 | 200 | 0.5905 | 0.655 | |
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| 0.4198 | 2.2 | 300 | 0.4814 | 0.7462 | |
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| 0.3188 | 3.2 | 400 | 0.5160 | 0.755 | |
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| 0.2687 | 4.2 | 500 | 0.4808 | 0.775 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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