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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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model-index: |
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- name: violence_detection |
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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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# violence_detection |
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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: 0.4693 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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- num_epochs: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 35 | 0.7807 | |
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| No log | 2.0 | 70 | 0.9209 | |
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| No log | 3.0 | 105 | 0.5725 | |
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| No log | 4.0 | 140 | 0.5501 | |
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| No log | 5.0 | 175 | 0.5701 | |
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| No log | 6.0 | 210 | 0.6286 | |
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| No log | 7.0 | 245 | 0.7121 | |
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| No log | 8.0 | 280 | 0.4971 | |
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| No log | 9.0 | 315 | 0.5575 | |
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| No log | 10.0 | 350 | 0.6327 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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