metadata
license: apache-2.0
base_model: google/vit-large-patch16-224
tags:
- generated_from_trainer
model-index:
- name: vit-xray-chest-classification-pneumonia
results: []
vit-xray-chest-classification-pneumonia
This model is a fine-tuned version of google/vit-large-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1390
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: 10
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| No log | 1.0 | 469 | 0.2521 |
| 0.2725 | 2.0 | 938 | 0.1408 |
| 0.1912 | 3.0 | 1407 | 0.1250 |
| 0.1708 | 4.0 | 1876 | 0.0978 |
| 0.1482 | 5.0 | 2345 | 0.1008 |
| 0.1424 | 6.0 | 2814 | 0.1339 |
| 0.124 | 7.0 | 3283 | 0.0987 |
| 0.1257 | 8.0 | 3752 | 0.1206 |
| 0.1085 | 9.0 | 4221 | 0.1409 |
| 0.0947 | 10.0 | 4690 | 0.1390 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1