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Model save

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  1. README.md +5 -5
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@@ -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 [bert-base-uncased](https://huggingface.co/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: 0.3128
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- - F1: 0.9280
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.191 | 1.0 | 626 | 0.8699 | 0.8271 |
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- | 0.3913 | 2.0 | 1252 | 0.3949 | 0.9160 |
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- | 0.1848 | 3.0 | 1878 | 0.3128 | 0.9280 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 0.3116
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+ - F1: 0.9249
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.0321 | 1.0 | 626 | 0.7737 | 0.8426 |
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+ | 0.3579 | 2.0 | 1252 | 0.3710 | 0.9202 |
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+ | 0.1785 | 3.0 | 1878 | 0.3116 | 0.9249 |
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  ### Framework versions