metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gbla_pneumonia_detector
results: []
gbla_pneumonia_detector
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0751
- Accuracy: 0.9751
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4813 | 0.9882 | 63 | 0.2063 | 0.9279 |
| 0.1972 | 1.9922 | 127 | 0.0949 | 0.9725 |
| 0.1834 | 2.9961 | 191 | 0.0874 | 0.9691 |
| 0.1517 | 4.0 | 255 | 0.0751 | 0.9751 |
| 0.1367 | 4.9882 | 318 | 0.1386 | 0.9433 |
| 0.1343 | 5.9922 | 382 | 0.1359 | 0.9511 |
| 0.1099 | 6.9961 | 446 | 0.1799 | 0.9356 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1