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--- |
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library_name: transformers |
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license: mit |
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base_model: prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime |
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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: vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly |
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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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# vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly |
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This model is a fine-tuned version of [prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime](https://huggingface.co/prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6304 |
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- Accuracy: 0.0962 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 202 |
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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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| 2.5324 | 0.5050 | 102 | 2.6516 | 0.0739 | |
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| 2.4308 | 1.4950 | 202 | 2.6304 | 0.0962 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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