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End of training

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README.md CHANGED
@@ -17,9 +17,9 @@ 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: 0.5575
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- - Pearson: 0.8689
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- - Spearmanr: 0.8661
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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- | No log | 1.0 | 360 | 0.6899 | 0.8641 | 0.8626 |
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- | 1.0355 | 2.0 | 720 | 0.6125 | 0.8668 | 0.8647 |
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- | 0.393 | 3.0 | 1080 | 0.5795 | 0.8688 | 0.8655 |
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- | 0.393 | 4.0 | 1440 | 0.5575 | 0.8689 | 0.8661 |
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- | 0.2366 | 5.0 | 1800 | 0.5678 | 0.8679 | 0.8649 |
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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: 0.5847
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+ - Pearson: 0.8680
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+ - Spearmanr: 0.8654
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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+ | No log | 1.0 | 360 | 0.5994 | 0.8662 | 0.8644 |
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+ | 1.0424 | 2.0 | 720 | 0.5847 | 0.8680 | 0.8654 |
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+ | 0.3948 | 3.0 | 1080 | 0.5782 | 0.8679 | 0.8643 |
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+ | 0.3948 | 4.0 | 1440 | 0.5639 | 0.8667 | 0.8631 |
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+ | 0.2382 | 5.0 | 1800 | 0.5662 | 0.8670 | 0.8634 |
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  ### Framework versions
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