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End of training
Browse files- README.md +11 -10
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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base_model: nvidia/mit-b2
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tags:
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- generated_from_trainer
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model-index:
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- name: testing_303
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# testing_303
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Mean Iou:
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- Mean Accuracy:
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- Overall Accuracy:
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- Accuracy Wht:
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- Iou Wht:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Wht | Iou Wht |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:-------:|
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| 0.
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### Framework versions
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---
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base_model: mividia/mit-b2
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tags:
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- retouch
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- image-segmentation
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- generated_from_trainer
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model-index:
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- name: testing_303
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# testing_303
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This model is a fine-tuned version of [mividia/mit-b2](https://huggingface.co/mividia/mit-b2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0
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- Mean Iou: nan
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- Mean Accuracy: nan
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- Overall Accuracy: nan
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- Accuracy Wht: nan
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- Iou Wht: nan
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Wht | Iou Wht |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:-------:|
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| 0.0 | 1.0 | 270 | 0.0 | nan | nan | nan | nan | nan |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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