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Training completed!

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  1. README.md +13 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5885
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- - F1: 0.4593
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- - Roc Auc: 0.6262
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- - Accuracy: 0.1516
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  ## Model description
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@@ -54,10 +54,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.5823 | 1.0 | 277 | 0.5885 | 0.4593 | 0.6262 | 0.1516 |
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- | 0.5409 | 2.0 | 554 | 0.5851 | 0.4593 | 0.6262 | 0.1516 |
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- | 0.5801 | 3.0 | 831 | 0.5811 | 0.4593 | 0.6262 | 0.1516 |
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- | 0.5434 | 4.0 | 1108 | 0.5791 | 0.4593 | 0.6262 | 0.1516 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5455
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+ - F1: 0.7320
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+ - Roc Auc: 0.7940
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+ - Accuracy: 0.4783
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.4898 | 1.0 | 277 | 0.4345 | 0.4886 | 0.6537 | 0.3213 |
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+ | 0.3807 | 2.0 | 554 | 0.3681 | 0.6681 | 0.7551 | 0.4296 |
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+ | 0.265 | 3.0 | 831 | 0.3890 | 0.6765 | 0.7615 | 0.4693 |
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+ | 0.1741 | 4.0 | 1108 | 0.4131 | 0.7120 | 0.7878 | 0.4404 |
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+ | 0.0835 | 5.0 | 1385 | 0.4718 | 0.7303 | 0.7978 | 0.4765 |
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+ | 0.0798 | 6.0 | 1662 | 0.5455 | 0.7320 | 0.7940 | 0.4783 |
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+ | 0.0533 | 7.0 | 1939 | 0.6251 | 0.6976 | 0.7679 | 0.4386 |
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+ | 0.032 | 8.0 | 2216 | 0.6953 | 0.7158 | 0.7885 | 0.4549 |
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+ | 0.0179 | 9.0 | 2493 | 0.7133 | 0.7313 | 0.7984 | 0.4513 |
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  ### Framework versions
model.safetensors CHANGED
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