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README.md
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license: cc-by-nc-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: videomae-base-finetuned-ucf101-subset
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results: []
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# videomae-base-finetuned-ucf101-subset
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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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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 300
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### Framework versions
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- Transformers 4.29.2
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license: cc-by-nc-4.0
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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-ucf101-subset
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results: []
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# videomae-base-finetuned-ucf101-subset
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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: 1.0501
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- Accuracy: 0.7286
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 300
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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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| 1.4139 | 1.0 | 300 | 1.0501 | 0.7286 |
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### Framework versions
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- Transformers 4.29.2
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