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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-crema-d8 |
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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-crema-d8 |
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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: 0.7377 |
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- Accuracy: 0.7644 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5952 |
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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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| 1.3492 | 0.13 | 745 | 1.3353 | 0.5127 | |
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| 0.9541 | 1.13 | 1490 | 0.9004 | 0.6849 | |
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| 0.7073 | 2.13 | 2235 | 0.7946 | 0.7236 | |
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| 0.8417 | 3.13 | 2980 | 0.8516 | 0.6876 | |
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| 0.3899 | 4.13 | 3725 | 0.7319 | 0.7450 | |
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| 0.3669 | 5.13 | 4470 | 0.7200 | 0.7490 | |
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| 0.5429 | 6.13 | 5215 | 0.6304 | 0.7864 | |
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| 0.2831 | 7.12 | 5952 | 0.6373 | 0.7931 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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