my_chest_xray_model
This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1806
- Map: 0.1667
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Map |
|---|---|---|---|---|
| 0.1812 | 0.99 | 62 | 0.1866 | 0.1317 |
| 0.1874 | 2.0 | 125 | 0.1832 | 0.1657 |
| 0.1904 | 2.98 | 186 | 0.1806 | 0.1667 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for hiroaki-f/my_chest_xray_model
Base model
google/vit-base-patch16-224