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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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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: human_action_recognition_model |
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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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# human_action_recognition_model |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.8069 |
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- Accuracy: 0.0659 |
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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: 0.0002 |
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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: 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: 4 |
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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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| 1.3102 | 0.3175 | 500 | 3.5439 | 0.0761 | |
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| 0.9861 | 0.6349 | 1000 | 4.1324 | 0.065 | |
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| 0.8791 | 0.9524 | 1500 | 4.6708 | 0.0752 | |
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| 0.5281 | 1.2698 | 2000 | 5.0605 | 0.0980 | |
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| 0.4598 | 1.5873 | 2500 | 6.1627 | 0.0437 | |
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| 0.4733 | 1.9048 | 3000 | 5.6746 | 0.0754 | |
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| 0.2844 | 2.2222 | 3500 | 6.5390 | 0.0746 | |
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| 0.1697 | 2.5397 | 4000 | 6.9396 | 0.0537 | |
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| 0.1697 | 2.8571 | 4500 | 7.1644 | 0.0672 | |
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| 0.1013 | 3.1746 | 5000 | 7.4083 | 0.0619 | |
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| 0.0556 | 3.4921 | 5500 | 7.4283 | 0.0694 | |
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| 0.0338 | 3.8095 | 6000 | 7.8069 | 0.0659 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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