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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/timesformer-base-finetuned-k400 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: anomaly-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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# anomaly-detection |
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4964 |
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- Auc: 0.9291 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.1437 | 1.0 | 805 | 0.4964 | 0.9291 | |
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| 0.3539 | 2.0 | 1610 | 0.5000 | 0.9502 | |
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| 0.0915 | 3.0 | 2415 | 0.5827 | 0.9516 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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