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End of training

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6221
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- - Accuracy: 0.6492
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- - F1: 0.5675
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- - Precision: 0.5283
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- - Recall: 0.6492
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 101 | 0.6728 | 0.5993 | 0.5167 | 0.4821 | 0.5993 |
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- | No log | 2.0 | 202 | 0.6523 | 0.6092 | 0.5227 | 0.4994 | 0.6092 |
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- | No log | 3.0 | 303 | 0.6221 | 0.6492 | 0.5675 | 0.5283 | 0.6492 |
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- | No log | 4.0 | 404 | 0.6580 | 0.6492 | 0.5674 | 0.5286 | 0.6492 |
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- | 0.5652 | 5.0 | 505 | 0.6789 | 0.6479 | 0.5656 | 0.5282 | 0.6479 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6052
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+ - Accuracy: 0.6467
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+ - F1: 0.5656
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+ - Precision: 0.5306
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+ - Recall: 0.6467
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 101 | 0.6449 | 0.6017 | 0.5169 | 0.4906 | 0.6017 |
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+ | No log | 2.0 | 202 | 0.6052 | 0.6467 | 0.5656 | 0.5306 | 0.6467 |
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+ | No log | 3.0 | 303 | 0.6169 | 0.6255 | 0.5427 | 0.5043 | 0.6255 |
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+ | No log | 4.0 | 404 | 0.6344 | 0.6342 | 0.5513 | 0.5153 | 0.6342 |
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+ | 0.5711 | 5.0 | 505 | 0.6630 | 0.6317 | 0.5489 | 0.5106 | 0.6317 |
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  ### Framework versions
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