best_model.pt
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README.md
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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Model Preparation Time: 0.
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- Accuracy: 0.9944
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- F1: 0.9917
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- Iou: 0.9889
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 | Iou |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:------:|:------:|
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| No log | 1.0 | 1 | 0.
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| No log | 2.0 | 2 | nan | 0.
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| No log | 3.0 | 3 | nan | 0.
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| No log | 4.0 | 4 | nan | 0.
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| No log | 5.0 | 5 | nan | 0.
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| No log | 6.0 | 6 | nan | 0.
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| No log | 7.0 | 7 | nan | 0.
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| No log | 8.0 | 8 | nan | 0.
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| No log | 9.0 | 9 | nan | 0.
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| No log | 10.0 | 10 | nan | 0.
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Model Preparation Time: 0.0007
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- Accuracy: 0.9944
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- F1: 0.9917
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- Iou: 0.9889
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 | Iou |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:------:|:------:|
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| No log | 1.0 | 1 | 0.5669 | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 2.0 | 2 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 3.0 | 3 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 4.0 | 4 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 5.0 | 5 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 6.0 | 6 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 7.0 | 7 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 8.0 | 8 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 9.0 | 9 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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| No log | 10.0 | 10 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 |
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### Framework versions
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