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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-base-patch4-window12-192-22k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k |
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results: [] |
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pipeline_tag: image-classification |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k |
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0088 |
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- Accuracy: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7078 | 0.99 | 36 | 0.1447 | 0.9375 | |
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| 0.1858 | 1.99 | 72 | 0.0584 | 0.9792 | |
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| 0.0891 | 2.98 | 108 | 0.0082 | 1.0 | |
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| 0.0619 | 4.0 | 145 | 0.0215 | 1.0 | |
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| 0.0252 | 4.99 | 181 | 0.0120 | 1.0 | |
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| 0.018 | 5.99 | 217 | 0.0139 | 1.0 | |
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| 0.0112 | 6.95 | 252 | 0.0088 | 1.0 | |
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### Test results |
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| Classes | precision | recall | f1-score | support| |
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|:-------------------:|:---------:|:------:|:--------:|:------:| |
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| Erythromelal | 1.00 | 1.00 | 1.00 | 5 | |
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| Guttate | 1.00 | 1.00 | 1.00 | 7 | |
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| Inverse | 1.00 | 1.00 | 1.00 | 4 | |
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| Nail | 1.00 | 1.00 | 1.00 | 10 | |
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| Normal | 1.00 | 1.00 | 1.00 | 11 | |
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| Plaque | 1.00 | 1.00 | 1.00 | 10 | |
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| Psoriatic Arthritis | 1.00 | 1.00 | 1.00 | 6 | |
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| Pustular | 1.00 | 1.00 | 1.00 | 6 | |
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| accuracy | | | 1.00 | 59| |
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| macro avg | 1.00 | 1.00 | 1.00 | 59 | |
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| weighted avg | 1.00 | 1.00 | 1.00 | 59 | |
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### confusion Matrix results |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
