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End of training

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  1. README.md +6 -6
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@@ -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 [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: 0.7141
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- - Accuracy: 0.8284
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- - F1: 0.8837
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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 | 230 | 0.4218 | 0.8260 | 0.8683 |
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- | No log | 2.0 | 460 | 0.5311 | 0.8284 | 0.8818 |
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- | 0.2553 | 3.0 | 690 | 0.7141 | 0.8284 | 0.8837 |
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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: 0.4042
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+ - Accuracy: 0.8676
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+ - F1: 0.9078
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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 | 230 | 0.3894 | 0.8309 | 0.8836 |
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+ | No log | 2.0 | 460 | 0.3511 | 0.8505 | 0.8964 |
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+ | 0.4061 | 3.0 | 690 | 0.4042 | 0.8676 | 0.9078 |
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  ### Framework versions