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End of training

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README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2856
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- - Accuracy: 0.876
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  - Auc: 0.952
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  ## Model description
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
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- | 0.4969 | 1.0 | 263 | 0.3794 | 0.811 | 0.915 |
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- | 0.4032 | 2.0 | 526 | 0.3651 | 0.849 | 0.935 |
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- | 0.3854 | 3.0 | 789 | 0.3123 | 0.849 | 0.941 |
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- | 0.3507 | 4.0 | 1052 | 0.3922 | 0.847 | 0.946 |
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- | 0.3345 | 5.0 | 1315 | 0.3203 | 0.873 | 0.947 |
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- | 0.3514 | 6.0 | 1578 | 0.2961 | 0.871 | 0.951 |
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- | 0.3164 | 7.0 | 1841 | 0.2850 | 0.876 | 0.95 |
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- | 0.3201 | 8.0 | 2104 | 0.2813 | 0.876 | 0.952 |
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- | 0.2949 | 9.0 | 2367 | 0.2799 | 0.871 | 0.952 |
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- | 0.3035 | 10.0 | 2630 | 0.2856 | 0.876 | 0.952 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2855
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+ - Accuracy: 0.873
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  - Auc: 0.952
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
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+ | 0.5029 | 1.0 | 263 | 0.3806 | 0.813 | 0.913 |
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+ | 0.4031 | 2.0 | 526 | 0.3636 | 0.847 | 0.934 |
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+ | 0.3878 | 3.0 | 789 | 0.3134 | 0.844 | 0.94 |
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+ | 0.35 | 4.0 | 1052 | 0.3951 | 0.842 | 0.945 |
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+ | 0.3331 | 5.0 | 1315 | 0.3176 | 0.867 | 0.947 |
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+ | 0.3523 | 6.0 | 1578 | 0.2938 | 0.869 | 0.95 |
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+ | 0.3171 | 7.0 | 1841 | 0.2859 | 0.869 | 0.95 |
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+ | 0.3206 | 8.0 | 2104 | 0.2811 | 0.873 | 0.952 |
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+ | 0.295 | 9.0 | 2367 | 0.2800 | 0.873 | 0.952 |
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+ | 0.3035 | 10.0 | 2630 | 0.2855 | 0.873 | 0.952 |
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  ### Framework versions
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