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README.md
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model-index:
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- name: SegFormer_mit-b5_Clean-Set3-Grayscale
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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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# SegFormer_mit-b5_Clean-Set3-Grayscale
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This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0156
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- Mean Iou: 0.9776
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- Mean Accuracy: 0.9882
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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: SegFormer_mit-b5_Clean-Set3-Grayscale
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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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# SegFormer_mit-b5_Clean-Set3-Grayscale
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This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on _Clean-Set3-Grayscale.
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It achieves the following results on the evaluation set:
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- Train-Loss: 0.0053
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- Loss: 0.0156
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- Mean Iou: 0.9776
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- Mean Accuracy: 0.9882
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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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