update model card README.md
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README.md
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.
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| 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.
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dataset:
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name: imagefolder
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type: imagefolder
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4864864864864865
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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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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3826
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- Accuracy: 0.4865
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.9 | 7 | 1.4323 | 0.4865 |
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| 1.5843 | 1.9 | 14 | 1.3999 | 0.4865 |
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| 1.5007 | 2.9 | 21 | 1.3826 | 0.4865 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu102
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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