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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-small-finetuned-kinetics |
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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-small-finetuned-kinetics-finetuned-judo |
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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-small-finetuned-kinetics-finetuned-judo |
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This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2644 |
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- Accuracy: 0.8889 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 130 |
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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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| 0.6846 | 0.1077 | 14 | 0.6309 | 0.6667 | |
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| 0.5857 | 1.1077 | 28 | 0.5324 | 0.7037 | |
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| 0.3921 | 2.1077 | 42 | 0.5325 | 0.6296 | |
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| 0.3011 | 3.1077 | 56 | 0.4113 | 0.8889 | |
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| 0.2184 | 4.1077 | 70 | 0.3408 | 0.8889 | |
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| 0.1523 | 5.1077 | 84 | 0.3739 | 0.8519 | |
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| 0.1197 | 6.1077 | 98 | 0.3697 | 0.7778 | |
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| 0.0763 | 7.1077 | 112 | 0.2562 | 0.8889 | |
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| 0.0724 | 8.1077 | 126 | 0.2623 | 0.8889 | |
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| 0.0685 | 9.0308 | 130 | 0.2644 | 0.8889 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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