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vit-msn-small-lipid-invalidation-nobg
bmedeiros/vit-msn-small-lipid-invalidation-nobg
vit-msn-small-lipid-invalidation-nobg is a image classification model from bmedeiros. 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_msn
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025
- SHA
- 539d368b
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. -->
vit-msn-small-lipid-invalidation-nobg
This model is a fine-tuned version of facebook/vit-msn-small on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1866
- Accuracy: 0.9235
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 |
|---|---|---|---|---|
| No log | 1.0 | 6 | 0.5868 | 0.7059 |
| 0.583 | 2.0 | 12 | 0.2850 | 0.8706 |
| 0.583 | 3.0 | 18 | 0.3167 | 0.8647 |
| 0.4996 | 4.0 | 24 | 0.3738 | 0.8294 |
| 0.3097 | 5.0 | 30 | 0.2105 | 0.9176 |
| 0.3097 | 6.0 | 36 | 0.2695 | 0.8824 |
| 0.2893 | 7.0 | 42 | 0.2304 | 0.8941 |
| 0.2893 | 8.0 | 48 | 0.2978 | 0.8529 |
| 0.3305 | 9.0 | 54 | 0.2952 | 0.8882 |
| 0.2775 | 10.0 | 60 | 0.2661 | 0.8882 |
| 0.2775 | 11.0 | 66 | 0.2533 | 0.8824 |
| 0.223 | 12.0 | 72 | 0.2586 | 0.8882 |
| 0.223 | 13.0 | 78 | 0.2034 | 0.9176 |
| 0.216 | 14.0 | 84 | 0.1866 | 0.9235 |
| 0.1858 | 15.0 | 90 | 0.2631 | 0.8882 |
| 0.1858 | 16.0 | 96 | 0.2440 | 0.8882 |
| 0.1866 | 17.0 | 102 | 0.2480 | 0.8941 |
| 0.1866 | 18.0 | 108 | 0.3897 | 0.8647 |
| 0.1701 | 19.0 | 114 | 0.3999 | 0.8647 |
| 0.1717 | 20.0 | 120 | 0.3307 | 0.8706 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.3.2
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit_msn
- License
- apache-2.0
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025