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--- |
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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-scratch |
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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-scratch |
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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: 0.9263 |
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- Accuracy: 0.7994 |
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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: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 3952 |
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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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| 0.6869 | 0.08 | 330 | 0.6326 | 0.6490 | |
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| 0.6342 | 1.08 | 660 | 0.6356 | 0.6447 | |
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| 0.6718 | 2.08 | 990 | 0.6112 | 0.6648 | |
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| 0.5003 | 3.08 | 1320 | 0.5741 | 0.6991 | |
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| 0.4131 | 4.08 | 1650 | 0.5480 | 0.7077 | |
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| 0.3233 | 5.08 | 1980 | 0.5564 | 0.7464 | |
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| 0.2411 | 6.08 | 2310 | 0.4929 | 0.7923 | |
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| 0.3402 | 7.08 | 2640 | 0.7592 | 0.7593 | |
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| 0.2174 | 8.08 | 2970 | 0.7752 | 0.7779 | |
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| 0.1706 | 9.08 | 3300 | 0.8511 | 0.7923 | |
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| 0.1127 | 10.08 | 3630 | 0.9263 | 0.7994 | |
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| 0.062 | 11.08 | 3952 | 1.0187 | 0.7808 | |
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### Framework versions |
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- Transformers 4.39.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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