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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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- image-classification |
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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: finetuned-for-YogaPosesv6 |
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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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# finetuned-for-YogaPosesv6 |
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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 the yoga_pose_images dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0562 |
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- Accuracy: 0.9938 |
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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: 16 |
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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_steps: 500 |
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- num_epochs: 12 |
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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 | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 0.9954 | 0.8772 | 100 | 0.8301 | 0.8505 | |
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| 0.3505 | 1.7544 | 200 | 0.1881 | 0.9907 | |
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| 0.1524 | 2.6316 | 300 | 0.0901 | 0.9844 | |
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| 0.152 | 3.5088 | 400 | 0.1241 | 0.9688 | |
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| 0.1314 | 4.3860 | 500 | 0.0562 | 0.9938 | |
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| 0.1187 | 5.2632 | 600 | 0.1232 | 0.9720 | |
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| 0.0936 | 6.1404 | 700 | 0.0893 | 0.9688 | |
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| 0.0753 | 7.0175 | 800 | 0.1510 | 0.9626 | |
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| 0.0155 | 7.8947 | 900 | 0.0536 | 0.9907 | |
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| 0.0181 | 8.7719 | 1000 | 0.0515 | 0.9907 | |
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| 0.0037 | 9.6491 | 1100 | 0.0570 | 0.9907 | |
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| 0.0121 | 10.5263 | 1200 | 0.0570 | 0.9907 | |
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| 0.0065 | 11.4035 | 1300 | 0.0565 | 0.9907 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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