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with_pneumo_train
Larbz-7/with_pneumo_train
with_pneumo_train is a image classification model from Larbz-7. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Jun 10, 2025
- Updated
- Jun 17, 2025
- SHA
- 025acef2
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. -->
radioup-model-pneumo
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5810
- Accuracy: 0.875
- F1: 0.9333
- Precision: 1.0
- Recall: 0.875
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.5132 | 1.0 | 485 | 2.7588 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.3143 | 2.0 | 970 | 1.2699 | 0.75 | 0.8571 | 1.0 | 0.75 |
| 0.9619 | 3.0 | 1455 | 0.8034 | 0.75 | 0.8571 | 1.0 | 0.75 |
| 0.3304 | 4.0 | 1940 | 0.6284 | 0.75 | 0.8571 | 1.0 | 0.75 |
| 0.6791 | 5.0 | 2425 | 0.5810 | 0.875 | 0.9333 | 1.0 | 0.875 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.0
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Jun 10, 2025
- Updated
- Jun 17, 2025