YAML Metadata
Error:
"datasets[0]" with value "chest X-rays" is not valid. If possible, use a dataset id from https://hf.co/datasets.
vit-finetuned-chest-xray-pneumonia
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the chest-xray-pneumonia dataset. It achieves the following results on the evaluation set:
- Loss: 0.1271
- Accuracy: 0.9551
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 326 | 0.2739 | 0.9167 |
| 0.2238 | 2.0 | 652 | 0.2892 | 0.9071 |
| 0.2238 | 3.0 | 978 | 0.2077 | 0.9407 |
| 0.1385 | 4.0 | 1304 | 0.1349 | 0.9535 |
| 0.1347 | 5.0 | 1630 | 0.1271 | 0.9551 |
| 0.1347 | 6.0 | 1956 | 0.1458 | 0.9535 |
| 0.1112 | 7.0 | 2282 | 0.2040 | 0.9375 |
| 0.1063 | 8.0 | 2608 | 0.1423 | 0.9567 |
| 0.1063 | 9.0 | 2934 | 0.1473 | 0.9535 |
| 0.0944 | 10.0 | 3260 | 0.1385 | 0.9583 |
Example Images
Pneumonia Chest X-Ray
Normal Chest X-Ray
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
- Downloads last month
- 344
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.