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End of training

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  1. README.md +7 -7
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2882
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- - F1: 0.9313
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.4263 | 1.0 | 858 | 0.6262 | 0.7950 |
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- | 0.441 | 2.0 | 1716 | 0.3486 | 0.8907 |
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- | 0.2177 | 3.0 | 2574 | 0.3404 | 0.9014 |
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- | 0.1635 | 4.0 | 3432 | 0.2860 | 0.9276 |
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- | 0.1014 | 5.0 | 4290 | 0.2882 | 0.9313 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8784
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+ - F1: 0.2821
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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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+ | No log | 1.0 | 25 | 2.0445 | 0.1074 |
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+ | No log | 2.0 | 50 | 1.9985 | 0.1987 |
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+ | No log | 3.0 | 75 | 1.9280 | 0.2290 |
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+ | No log | 4.0 | 100 | 1.8904 | 0.2655 |
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+ | No log | 5.0 | 125 | 1.8784 | 0.2821 |
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  ### Framework versions