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--- |
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library_name: transformers |
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license: other |
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base_model: google/mobilenet_v2_1.0_224 |
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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-YogaPoses |
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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-YogaPoses |
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This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co./google/mobilenet_v2_1.0_224) on the indian_food_images dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2234 |
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- Accuracy: 0.9463 |
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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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- num_epochs: 4 |
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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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| 0.2812 | 1.8868 | 100 | 0.1830 | 0.9329 | |
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| 0.1828 | 3.7736 | 200 | 0.2234 | 0.9463 | |
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### Framework versions |
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- Transformers 4.46.2 |
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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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