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ahmed792002/Finetuning_XLNET_Paraphrase_Classification

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README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7931
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  - Accuracy: 0.8603
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- - F1: 0.8562
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  ## Model description
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@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 459 | 0.8129 | 0.8554 | 0.8539 |
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- | 0.2514 | 2.0 | 918 | 0.7931 | 0.8603 | 0.8562 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3980
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  - Accuracy: 0.8603
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+ - F1: 0.8601
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 459 | 0.3751 | 0.8260 | 0.8148 |
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+ | 0.5039 | 2.0 | 918 | 0.3980 | 0.8603 | 0.8601 |
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  ### Framework versions
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