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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-Risky-situations |
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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-Risky-situations |
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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: 0.2880 |
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- Accuracy: 0.8462 |
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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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- 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: 250 |
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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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| 0.4854 | 0.1 | 25 | 0.0940 | 1.0 | |
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| 0.2925 | 1.1 | 50 | 0.0021 | 1.0 | |
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| 0.0187 | 2.1 | 75 | 0.3059 | 0.9167 | |
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| 0.0004 | 3.1 | 100 | 2.2330 | 0.6667 | |
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| 0.0005 | 4.1 | 125 | 0.0003 | 1.0 | |
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| 0.0003 | 5.1 | 150 | 0.0003 | 1.0 | |
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| 0.3102 | 6.1 | 175 | 1.2503 | 0.75 | |
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| 0.0003 | 7.1 | 200 | 0.0002 | 1.0 | |
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| 0.0002 | 8.1 | 225 | 0.0003 | 1.0 | |
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| 0.0002 | 9.1 | 250 | 0.0004 | 1.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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