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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: 0.6398 |
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- Accuracy: 0.7027 |
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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: 190 |
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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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| 1.0364 | 0.1053 | 20 | 1.0361 | 0.4324 | |
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| 0.8371 | 1.1053 | 40 | 0.9787 | 0.5676 | |
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| 0.6885 | 2.1053 | 60 | 0.9205 | 0.5676 | |
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| 0.5484 | 3.1053 | 80 | 0.7844 | 0.6216 | |
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| 0.452 | 4.1053 | 100 | 0.7905 | 0.5676 | |
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| 0.4008 | 5.1053 | 120 | 0.7258 | 0.6216 | |
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| 0.291 | 6.1053 | 140 | 0.7222 | 0.6486 | |
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| 0.211 | 7.1053 | 160 | 0.6974 | 0.7027 | |
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| 0.2003 | 8.1053 | 180 | 0.6377 | 0.7027 | |
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| 0.2124 | 9.0526 | 190 | 0.6398 | 0.7027 | |
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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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- Tokenizers 0.21.0 |
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