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wool-classifier-finetuned
Promemoria/wool-classifier-finetuned
wool-classifier-finetuned is a image classification model from Promemoria. 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
- Sep 1, 2025
- Updated
- Sep 1, 2025
- SHA
- c474c89f
Base models
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. -->
wool-classifier-finetuned
This model is a fine-tuned version of google/vit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6767
- Accuracy: 0.7778
- F1: 0.7682
- Precision: 0.7983
- Recall: 0.7778
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7426 | 1.0 | 45 | 0.7618 | 0.7284 | 0.7285 | 0.7981 | 0.7284 |
| 0.6744 | 2.0 | 90 | 0.8640 | 0.7284 | 0.7064 | 0.7190 | 0.7284 |
| 0.4237 | 3.0 | 135 | 0.6118 | 0.8148 | 0.8115 | 0.8309 | 0.8148 |
| 0.473 | 4.0 | 180 | 0.6418 | 0.8025 | 0.7843 | 0.8481 | 0.8025 |
| 0.3436 | 5.0 | 225 | 0.4420 | 0.8765 | 0.8606 | 0.8928 | 0.8765 |
| 0.2142 | 6.0 | 270 | 0.7575 | 0.7654 | 0.7508 | 0.8080 | 0.7654 |
| 0.2729 | 7.0 | 315 | 0.6660 | 0.7901 | 0.7768 | 0.8183 | 0.7901 |
| 0.3112 | 8.0 | 360 | 0.6767 | 0.7778 | 0.7682 | 0.7983 | 0.7778 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 1, 2025
- Updated
- Sep 1, 2025