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--- |
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library_name: transformers |
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license: mit |
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base_model: google/vivit-b-16x2-kinetics400 |
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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-finetuned-cricket_shot_detection_NEW_1 |
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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-finetuned-cricket_shot_detection_NEW_1 |
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This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5183 |
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- Accuracy: 0.8333 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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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- training_steps: 5800 |
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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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| 0.6322 | 0.1207 | 700 | 0.5183 | 0.8333 | |
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| 0.1859 | 1.1207 | 1400 | 0.6102 | 0.7222 | |
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| 0.047 | 2.1207 | 2100 | 0.4966 | 0.8333 | |
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| 0.1622 | 3.1207 | 2800 | 0.7591 | 0.8333 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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