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README.md
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model-index:
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- name: test_triage
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results: []
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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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# test_triage
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.9758
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- Accuracy: 0.5008
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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model-index:
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- name: test_triage
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results: []
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datasets:
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- arunboss/test
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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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# test_triage
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the Test dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9758
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- Accuracy: 0.5008
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## Model description
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This is a basic skin disease recognition model without the specific disease information for now. I just wanted to test the platform for hosting capabilities and check other features.
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## Intended uses & limitations
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For now, its just a test environment. We have the basic pipeline of data & processing in place to push to this place. Future use will be to open source the dataset and allow the community to build and fine tune the skin identification and triging module for broader and free-for-all usage.
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## Training and evaluation data
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We have a lot of open & closed datasets that have been compiled over years and annotated.
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## Training procedure
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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