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--- |
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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-sample_kine |
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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-sample_kine |
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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: 0.5079 |
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- Accuracy: 0.8205 |
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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: 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: 140 |
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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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| 0.7564 | 0.1071 | 15 | 0.6660 | 0.6923 | |
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| 0.6614 | 1.1071 | 30 | 0.5677 | 0.6923 | |
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| 0.5941 | 2.1071 | 45 | 0.5079 | 0.8205 | |
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| 0.3661 | 3.1071 | 60 | 0.6175 | 0.6923 | |
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| 0.3258 | 4.1071 | 75 | 1.1649 | 0.7436 | |
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| 0.5887 | 5.1071 | 90 | 0.4697 | 0.7179 | |
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| 0.3907 | 6.1071 | 105 | 0.9874 | 0.6154 | |
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| 0.1948 | 7.1071 | 120 | 0.9959 | 0.6667 | |
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| 0.1424 | 8.1071 | 135 | 1.1357 | 0.6667 | |
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| 0.2198 | 9.0357 | 140 | 1.1467 | 0.6667 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.4.1 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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