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--- |
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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: Main_Fashion |
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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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# Main_Fashion |
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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: 0.7633 |
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- Accuracy: 0.6961 |
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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: 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: 7 |
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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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| 0.934 | 0.9259 | 100 | 0.9492 | 0.7030 | |
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| 0.9191 | 1.8519 | 200 | 0.7838 | 0.7401 | |
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| 0.7774 | 2.7778 | 300 | 0.8152 | 0.7123 | |
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| 0.5743 | 3.7037 | 400 | 0.7249 | 0.7100 | |
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| 0.5145 | 4.6296 | 500 | 0.7721 | 0.7077 | |
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| 0.4713 | 5.5556 | 600 | 0.7182 | 0.7146 | |
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| 0.4397 | 6.4815 | 700 | 0.7633 | 0.6961 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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