| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - chest-xray-classification |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: vit-pneumonia |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: chest-xray-classification |
| | type: chest-xray-classification |
| | config: full |
| | split: validation |
| | args: full |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.976824034334764 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # vit-pneumonia |
| |
|
| | 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 chest-xray-classification dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1086 |
| | - Accuracy: 0.9768 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0002 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.25 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.0357 | 1.0 | 192 | 0.0955 | 0.9691 | |
| | | 0.0404 | 2.0 | 384 | 0.0720 | 0.9751 | |
| | | 0.0546 | 3.0 | 576 | 0.2275 | 0.9468 | |
| | | 0.0113 | 4.0 | 768 | 0.1386 | 0.9648 | |
| | | 0.0101 | 5.0 | 960 | 0.1212 | 0.9708 | |
| | | 0.0003 | 6.0 | 1152 | 0.0929 | 0.9777 | |
| | | 0.0002 | 7.0 | 1344 | 0.1051 | 0.9777 | |
| | | 0.0002 | 8.0 | 1536 | 0.1075 | 0.9777 | |
| | | 0.0002 | 9.0 | 1728 | 0.1084 | 0.9768 | |
| | | 0.0002 | 10.0 | 1920 | 0.1086 | 0.9768 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
| | |
