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End of training

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@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1525
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- - Precision: 0.0031
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- - Recall: 0.0128
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- - F1: 0.0050
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- - Accuracy: 0.1087
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 2.1814 | 1.0 | 14 | 2.1525 | 0.0031 | 0.0128 | 0.0050 | 0.1087 |
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  ### Framework versions
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- - Transformers 4.32.0.dev0
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- - Pytorch 2.0.0
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  - Datasets 2.12.0
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2260
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+ - Precision: 0.0015
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+ - Recall: 0.0026
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+ - F1: 0.0019
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+ - Accuracy: 0.1889
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 2.2712 | 1.0 | 14 | 2.2260 | 0.0015 | 0.0026 | 0.0019 | 0.1889 |
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  ### Framework versions
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu117
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  - Datasets 2.12.0
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+ - Tokenizers 0.14.1