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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-large |
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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-large-finetuned-right-hand-conflab-v1 |
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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-large-finetuned-right-hand-conflab-v1 |
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5240 |
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- Accuracy: 0.6146 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 1404 |
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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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| 2.0232 | 0.0420 | 59 | 1.9422 | 0.1942 | |
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| 1.8426 | 1.0420 | 118 | 1.7418 | 0.3398 | |
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| 1.7424 | 2.0420 | 177 | 1.6896 | 0.4175 | |
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| 1.2206 | 3.0420 | 236 | 1.6280 | 0.4466 | |
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| 1.0738 | 4.0420 | 295 | 1.2310 | 0.5825 | |
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| 1.0054 | 5.0420 | 354 | 1.3243 | 0.5583 | |
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| 0.782 | 6.0420 | 413 | 1.1891 | 0.6359 | |
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| 0.599 | 7.0420 | 472 | 1.1930 | 0.6505 | |
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| 0.6782 | 8.0420 | 531 | 1.2866 | 0.6359 | |
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| 0.3033 | 9.0420 | 590 | 1.4236 | 0.5777 | |
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| 0.2236 | 10.0420 | 649 | 1.3206 | 0.6553 | |
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| 0.1756 | 11.0420 | 708 | 1.5113 | 0.6602 | |
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| 0.1341 | 12.0420 | 767 | 1.6544 | 0.6408 | |
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| 0.0823 | 13.0420 | 826 | 1.6124 | 0.6553 | |
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| 0.0691 | 14.0420 | 885 | 1.8230 | 0.6456 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 1.12.0+cu116 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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