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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-ucfcrime-full2 |
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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-ucfcrime-full2 |
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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: 2.5470 |
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- Accuracy: 0.2143 |
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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: 800 |
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- mixed_precision_training: Native AMP |
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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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| 2.2039 | 0.125 | 100 | 2.4597 | 0.1644 | |
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| 1.8182 | 1.125 | 200 | 2.3359 | 0.2046 | |
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| 1.9124 | 2.125 | 300 | 2.6805 | 0.2078 | |
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| 1.7017 | 3.125 | 400 | 2.3331 | 0.2453 | |
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| 1.68 | 4.125 | 500 | 2.2637 | 0.2225 | |
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| 1.5457 | 5.125 | 600 | 2.4711 | 0.2284 | |
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| 1.4727 | 6.125 | 700 | 2.3691 | 0.2110 | |
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| 1.5393 | 7.125 | 800 | 2.4561 | 0.2025 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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