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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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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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--- |
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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: 0.0794 |
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- Accuracy: 0.9714 |
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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: 6 |
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- eval_batch_size: 6 |
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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: 600 |
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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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| 2.1779 | 0.0833 | 50 | 2.0389 | 0.2714 | |
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| 0.9209 | 1.0833 | 100 | 0.9262 | 0.6857 | |
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| 0.5527 | 2.0833 | 150 | 0.3633 | 0.9143 | |
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| 0.2367 | 3.0833 | 200 | 0.4540 | 0.8857 | |
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| 0.4635 | 4.0833 | 250 | 0.2192 | 0.9429 | |
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| 0.097 | 5.0833 | 300 | 0.2792 | 0.8714 | |
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| 0.0128 | 6.0833 | 350 | 0.1230 | 0.9571 | |
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| 0.0346 | 7.0833 | 400 | 0.0637 | 0.9714 | |
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| 0.005 | 8.0833 | 450 | 0.0655 | 0.9714 | |
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| 0.0045 | 9.0833 | 500 | 0.0876 | 0.9714 | |
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| 0.004 | 10.0833 | 550 | 0.0904 | 0.9714 | |
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| 0.0041 | 11.0833 | 600 | 0.0794 | 0.9714 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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