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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_BdSLW60_FrameRateCorrected_withAug_100 |
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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_BdSLW60_FrameRateCorrected_withAug_100 |
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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: 0.5588 |
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- Accuracy: 0.8973 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 22400 |
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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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| 3.0699 | 0.0400 | 897 | 2.4541 | 0.4753 | |
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| 0.6366 | 1.0401 | 1795 | 0.6832 | 0.84 | |
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| 0.2253 | 2.0401 | 2693 | 0.3464 | 0.9024 | |
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| 0.1229 | 3.0401 | 3591 | 0.1467 | 0.9647 | |
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| 0.1045 | 4.0400 | 4488 | 0.1459 | 0.9635 | |
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| 0.0631 | 5.0401 | 5386 | 0.1313 | 0.9718 | |
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| 0.0736 | 6.0401 | 6284 | 0.1807 | 0.9635 | |
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| 0.0673 | 7.0401 | 7182 | 0.1464 | 0.9694 | |
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| 0.0239 | 8.0400 | 8079 | 0.1932 | 0.9576 | |
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| 0.0868 | 9.0401 | 8977 | 0.0563 | 0.9882 | |
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| 0.0016 | 10.0401 | 9875 | 0.0844 | 0.9776 | |
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| 0.0318 | 11.0401 | 10773 | 0.1123 | 0.9753 | |
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| 0.0144 | 12.0400 | 11670 | 0.0499 | 0.9894 | |
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| 0.0028 | 13.0401 | 12568 | 0.0809 | 0.9871 | |
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| 0.0074 | 14.0401 | 13466 | 0.0455 | 0.9929 | |
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| 0.0002 | 15.0401 | 14364 | 0.0581 | 0.9906 | |
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| 0.0077 | 16.0400 | 15261 | 0.0502 | 0.9894 | |
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| 0.0005 | 17.0401 | 16159 | 0.0407 | 0.9929 | |
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| 0.0004 | 18.0401 | 17057 | 0.0550 | 0.9906 | |
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| 0.0001 | 19.0401 | 17955 | 0.0583 | 0.9929 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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