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4-classifier-finetuned-padchest
sbottazzi/4-classifier-finetuned-padchest
4-classifier-finetuned-padchest is a image classification model from sbottazzi. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Mar 7, 2024
- Updated
- Mar 7, 2024
- SHA
- 32b4c44f
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
4-classifier-finetuned-padchest
This model is a fine-tuned version of nickmuchi/vit-finetuned-chest-xray-pneumonia on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.9186
- Accuracy: 0.7124
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0441 | 1.0 | 14 | 1.9084 | 0.3164 |
| 1.8716 | 2.0 | 28 | 1.6532 | 0.4484 |
| 1.4727 | 3.0 | 42 | 1.4218 | 0.5228 |
| 1.3452 | 4.0 | 56 | 1.3037 | 0.5736 |
| 1.2518 | 5.0 | 70 | 1.2799 | 0.5584 |
| 1.1646 | 6.0 | 84 | 1.1892 | 0.6244 |
| 1.1358 | 7.0 | 98 | 1.1543 | 0.6074 |
| 1.0664 | 8.0 | 112 | 1.1060 | 0.6277 |
| 1.041 | 9.0 | 126 | 1.0434 | 0.6667 |
| 1.002 | 10.0 | 140 | 1.0337 | 0.6582 |
| 0.9867 | 11.0 | 154 | 1.0373 | 0.6582 |
| 0.9485 | 12.0 | 168 | 0.9866 | 0.6887 |
| 0.9121 | 13.0 | 182 | 0.9827 | 0.6785 |
| 0.918 | 14.0 | 196 | 0.9588 | 0.7039 |
| 0.8882 | 15.0 | 210 | 0.9576 | 0.7005 |
| 0.873 | 16.0 | 224 | 0.9450 | 0.7022 |
| 0.8469 | 17.0 | 238 | 0.9266 | 0.7090 |
| 0.814 | 18.0 | 252 | 0.9463 | 0.6971 |
| 0.8206 | 19.0 | 266 | 0.9201 | 0.7090 |
| 0.8078 | 20.0 | 280 | 0.9186 | 0.7124 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 7, 2024
- Updated
- Mar 7, 2024