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Psoriasis-Project-M-vit-large-patch16-224-in21k
ahmedesmail16/Psoriasis-Project-M-vit-large-patch16-224-in21k
Psoriasis-Project-M-vit-large-patch16-224-in21k is a image classification model from ahmedesmail16. 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
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- c23c8c03
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. -->
Psoriasis-Project-M-vit-large-patch16-224-in21k
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2704
- Accuracy: 0.9375
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.92 | 6 | 1.1518 | 0.7083 |
| 1.4225 | 2.0 | 13 | 0.5772 | 0.875 |
| 1.4225 | 2.92 | 19 | 0.3717 | 0.9167 |
| 0.4431 | 4.0 | 26 | 0.2775 | 0.9375 |
| 0.1332 | 4.62 | 30 | 0.2704 | 0.9375 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024