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End of training

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  1. README.md +11 -10
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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- license: other
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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
@@ -13,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # testing_303
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- This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0228
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- - Mean Iou: 1.0
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- - Mean Accuracy: 1.0
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- - Overall Accuracy: 1.0
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- - Accuracy Wht: 1.0
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- - Iou Wht: 1.0
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  ## Model description
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@@ -51,7 +52,7 @@ The following hyperparameters were used during training:
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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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- | 0.1064 | 1.0 | 270 | 0.0228 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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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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