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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-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: RALL_RGBCROP_Aug16F-polynomial |
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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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# RALL_RGBCROP_Aug16F-polynomial |
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5478 |
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- Accuracy: 0.8635 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: polynomial |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 3462 |
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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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| 0.4872 | 0.0835 | 289 | 0.5884 | 0.6667 | |
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| 0.2293 | 1.0835 | 578 | 0.5230 | 0.7975 | |
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| 0.0214 | 2.0835 | 867 | 0.7384 | 0.8016 | |
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| 0.0423 | 3.0835 | 1156 | 0.8912 | 0.8139 | |
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| 0.0008 | 4.0835 | 1445 | 1.0195 | 0.8016 | |
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| 0.0004 | 5.0835 | 1734 | 1.0783 | 0.7996 | |
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| 0.0003 | 6.0835 | 2023 | 1.1355 | 0.8016 | |
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| 0.0002 | 7.0835 | 2312 | 1.1726 | 0.7935 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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