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End of training

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  1. README.md +5 -5
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2491
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- - Accuracy: 0.9205
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- - F1: 0.9206
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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 | 313 | 0.2610 | 0.9121 | 0.9120 |
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- | 0.3013 | 2.0 | 626 | 0.2491 | 0.9205 | 0.9206 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2474
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+ - Accuracy: 0.9196
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+ - F1: 0.9196
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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 | 313 | 0.2620 | 0.9099 | 0.9097 |
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+ | 0.3054 | 2.0 | 626 | 0.2474 | 0.9196 | 0.9196 |
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  ### Framework versions