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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 |
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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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--- |
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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-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: 0.8688 |
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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: 1e-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: 370 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.3516 | 0.1027 | 38 | 2.2951 | |
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| 2.1851 | 1.1027 | 76 | 2.1559 | |
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| 1.9452 | 2.1027 | 114 | 1.9531 | |
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| 1.6471 | 3.1027 | 152 | 1.6395 | |
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| 1.255 | 4.1027 | 190 | 1.3609 | |
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| 1.0922 | 5.1027 | 228 | 1.1511 | |
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| 0.7825 | 6.1027 | 266 | 1.0092 | |
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| 0.7033 | 7.1027 | 304 | 0.9361 | |
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| 0.5924 | 8.1027 | 342 | 0.8911 | |
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| 0.616 | 9.0757 | 370 | 0.8688 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.19.1 |
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