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Psoriasis-Project-Aug-M2-clip-vit-large-patch14
ahmedesmail16/Psoriasis-Project-Aug-M2-clip-vit-large-patch14
Psoriasis-Project-Aug-M2-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
- ba5f89ee
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-Aug-M2-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: 0.4791
- Accuracy: 0.9167
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 |
|---|---|---|---|---|
| 0.3927 | 0.99 | 36 | 0.6931 | 0.8333 |
| 0.1074 | 1.99 | 72 | 0.1332 | 0.9583 |
| 0.0918 | 2.98 | 108 | 0.4826 | 0.9167 |
| 0.0188 | 4.0 | 145 | 0.4429 | 0.9375 |
| 0.0029 | 4.97 | 180 | 0.4791 | 0.9167 |
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