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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: chest_xray_pneumonia |
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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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# chest_xray_pneumonia |
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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: 0.2508 |
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- Accuracy: 0.9151 |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.1091 | 0.99 | 81 | 0.2422 | 0.9119 | |
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| 0.1085 | 2.0 | 163 | 0.2777 | 0.9167 | |
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| 0.1131 | 2.99 | 244 | 0.1875 | 0.9407 | |
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| 0.1129 | 4.0 | 326 | 0.2339 | 0.9183 | |
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| 0.0698 | 4.99 | 407 | 0.2581 | 0.9263 | |
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| 0.0904 | 6.0 | 489 | 0.2544 | 0.9167 | |
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| 0.0851 | 6.99 | 570 | 0.2023 | 0.9407 | |
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| 0.0833 | 8.0 | 652 | 0.2047 | 0.9327 | |
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| 0.0604 | 8.99 | 733 | 0.2738 | 0.9199 | |
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| 0.0671 | 9.94 | 810 | 0.2508 | 0.9151 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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