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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: 4-classifier-finetuned-padchest |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7123519458544839 |
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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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# 4-classifier-finetuned-padchest |
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This model is a fine-tuned version of [nickmuchi/vit-finetuned-chest-xray-pneumonia](https://huggingface.co/nickmuchi/vit-finetuned-chest-xray-pneumonia) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9186 |
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- Accuracy: 0.7124 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 20 |
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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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| 2.0441 | 1.0 | 14 | 1.9084 | 0.3164 | |
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| 1.8716 | 2.0 | 28 | 1.6532 | 0.4484 | |
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| 1.4727 | 3.0 | 42 | 1.4218 | 0.5228 | |
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| 1.3452 | 4.0 | 56 | 1.3037 | 0.5736 | |
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| 1.2518 | 5.0 | 70 | 1.2799 | 0.5584 | |
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| 1.1646 | 6.0 | 84 | 1.1892 | 0.6244 | |
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| 1.1358 | 7.0 | 98 | 1.1543 | 0.6074 | |
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| 1.0664 | 8.0 | 112 | 1.1060 | 0.6277 | |
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| 1.041 | 9.0 | 126 | 1.0434 | 0.6667 | |
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| 1.002 | 10.0 | 140 | 1.0337 | 0.6582 | |
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| 0.9867 | 11.0 | 154 | 1.0373 | 0.6582 | |
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| 0.9485 | 12.0 | 168 | 0.9866 | 0.6887 | |
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| 0.9121 | 13.0 | 182 | 0.9827 | 0.6785 | |
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| 0.918 | 14.0 | 196 | 0.9588 | 0.7039 | |
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| 0.8882 | 15.0 | 210 | 0.9576 | 0.7005 | |
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| 0.873 | 16.0 | 224 | 0.9450 | 0.7022 | |
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| 0.8469 | 17.0 | 238 | 0.9266 | 0.7090 | |
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| 0.814 | 18.0 | 252 | 0.9463 | 0.6971 | |
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| 0.8206 | 19.0 | 266 | 0.9201 | 0.7090 | |
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| 0.8078 | 20.0 | 280 | 0.9186 | 0.7124 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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