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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-furtos |
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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-furtos |
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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: 0.3726 |
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- Accuracy: 0.95 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 64 |
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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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| No log | 0.125 | 8 | 0.7644 | 0.4 | |
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| 0.7578 | 1.125 | 16 | 0.8079 | 0.55 | |
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| 0.6084 | 2.125 | 24 | 0.7155 | 0.55 | |
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| 0.6016 | 3.125 | 32 | 0.6016 | 0.6 | |
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| 0.5236 | 4.125 | 40 | 0.6041 | 0.65 | |
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| 0.5236 | 5.125 | 48 | 0.4796 | 0.75 | |
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| 0.547 | 6.125 | 56 | 0.3917 | 0.95 | |
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| 0.4097 | 7.125 | 64 | 0.3726 | 0.95 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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