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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base-finetuned-ssv2 |
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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-ssv22-finetuned-ucf101-subset |
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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-ssv22-finetuned-ucf101-subset |
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co./MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Accuracy: 1.0 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 168 |
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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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| 0.1456 | 0.25 | 42 | 0.0706 | 1.0 | |
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| 0.009 | 1.25 | 84 | 0.0115 | 1.0 | |
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| 0.0011 | 2.25 | 126 | 0.0010 | 1.0 | |
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| 0.0008 | 3.25 | 168 | 0.0010 | 1.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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