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Psoriasis-Project-M-clip-vit-large-patch14
ahmedesmail16/Psoriasis-Project-M-clip-vit-large-patch14
Psoriasis-Project-M-clip-vit-large-patch14 is a image classification model from ahmedesmail16. 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
- clip
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 14, 2024
- SHA
- bce3d71e
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-clip-vit-large-patch14
This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4710
- Accuracy: 0.8958
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.92 | 6 | 1.8042 | 0.7917 |
| 0.1258 | 2.0 | 13 | 1.4387 | 0.8333 |
| 0.1258 | 2.92 | 19 | 2.5280 | 0.7292 |
| 0.0815 | 4.0 | 26 | 0.9424 | 0.8542 |
| 0.0493 | 4.62 | 30 | 0.8434 | 0.8542 |
| No log | 0.92 | 6 | 8.7831 | 0.2917 |
| 6.4844 | 2.0 | 13 | 3.2443 | 0.5417 |
| 6.4844 | 2.92 | 19 | 1.4924 | 0.7708 |
| 1.5554 | 4.0 | 26 | 0.6663 | 0.875 |
| 0.2061 | 4.62 | 30 | 0.7655 | 0.8125 |
| No log | 0.92 | 6 | 1.1418 | 0.8333 |
| 0.0506 | 2.0 | 13 | 2.5893 | 0.7292 |
| 0.0506 | 2.92 | 19 | 1.5925 | 0.7917 |
| 0.1137 | 4.0 | 26 | 1.3275 | 0.8958 |
| 0.0132 | 4.62 | 30 | 1.4710 | 0.8958 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- clip
- Created
- Apr 13, 2024
- Updated
- Apr 14, 2024