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deit-cemede-redbioma-ct-fewer-classes
redbioma/deit-cemede-redbioma-ct-fewer-classes
deit-cemede-redbioma-ct-fewer-classes is a image classification model from redbioma. 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
- deit
- Access
- Public
- Created
- Aug 6, 2025
- Updated
- Aug 18, 2025
- SHA
- bb42daf9
Base models
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. -->
deit-CEMEDE
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the cemede dataset. It achieves the following results on the evaluation set:
- Loss: 0.4633
- Accuracy: 0.8662
- F1: 0.8361
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|---|---|
| 0.6954 | 0.1805 | 100 | 0.7439 | 0.7835 | 0.6861 |
| 0.5041 | 0.3610 | 200 | 0.6603 | 0.7600 | 0.7444 |
| 0.4322 | 0.5415 | 300 | 1.3682 | 0.6844 | 0.6798 |
| 0.5982 | 0.7220 | 400 | 0.5710 | 0.8080 | 0.7293 |
| 0.4534 | 0.9025 | 500 | 0.4633 | 0.8662 | 0.8361 |
| 0.0807 | 1.0830 | 600 | 0.6804 | 0.8437 | 0.8159 |
| 0.272 | 1.2635 | 700 | 0.7165 | 0.7988 | 0.7810 |
| 0.1832 | 1.4440 | 800 | 0.7701 | 0.8090 | 0.7822 |
| 0.1927 | 1.6245 | 900 | 0.6627 | 0.8294 | 0.8095 |
| 0.0959 | 1.8051 | 1000 | 0.5265 | 0.8468 | 0.8123 |
| 0.1794 | 1.9856 | 1100 | 0.7515 | 0.8049 | 0.7926 |
| 0.0628 | 2.1661 | 1200 | 0.4937 | 0.8805 | 0.8760 |
| 0.0888 | 2.3466 | 1300 | 0.5553 | 0.8621 | 0.8473 |
| 0.0802 | 2.5271 | 1400 | 0.6491 | 0.8539 | 0.8409 |
| 0.0164 | 2.7076 | 1500 | 0.5064 | 0.8989 | 0.9043 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- deit
- License
- apache-2.0
- Created
- Aug 6, 2025
- Updated
- Aug 18, 2025