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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-ucfsuc-subset |
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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-ucfsuc-subset |
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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: 0.6334 |
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- Accuracy: 0.7079 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 310 |
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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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| 0.7131 | 0.1032 | 32 | 0.7573 | 0.3596 | |
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| 0.7351 | 1.1032 | 64 | 0.6929 | 0.5393 | |
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| 0.6892 | 2.1032 | 96 | 0.7539 | 0.5393 | |
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| 0.693 | 3.1032 | 128 | 0.7079 | 0.5169 | |
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| 0.5903 | 4.1032 | 160 | 0.7080 | 0.6180 | |
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| 0.626 | 5.1032 | 192 | 0.6610 | 0.6854 | |
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| 0.6316 | 6.1032 | 224 | 0.5789 | 0.7303 | |
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| 0.5287 | 7.1032 | 256 | 0.6366 | 0.7079 | |
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| 0.6648 | 8.1032 | 288 | 0.6215 | 0.7191 | |
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| 0.4605 | 9.0710 | 310 | 0.6334 | 0.7079 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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