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Update README.md

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@@ -6,6 +6,7 @@ tags:
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  model-index:
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  - name: BEiT_beit-base-finetuned-ade-640-640_Clean-Set3_RGB
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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
@@ -15,6 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  - Loss: 0.0336
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  - Mean Iou: 0.9671
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  - Mean Accuracy: 0.9806
@@ -101,4 +103,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.41.2
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.19.2
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: BEiT_beit-base-finetuned-ade-640-640_Clean-Set3_RGB
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  results: []
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+ pipeline_tag: image-segmentation
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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/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - TrainLoss: 0.0216
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  - Loss: 0.0336
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  - Mean Iou: 0.9671
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  - Mean Accuracy: 0.9806
 
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  - Transformers 4.41.2
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.19.2
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+ - Tokenizers 0.19.1