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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5383
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- - Accuracy: 0.676
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- - F1: 0.7527
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 376 | 0.5759 | 0.704 | 0.8005 |
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- | 0.6059 | 2.0 | 752 | 0.6050 | 0.65 | 0.6777 |
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- | 0.48 | 3.0 | 1128 | 0.7014 | 0.703 | 0.7907 |
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- | 0.2579 | 4.0 | 1504 | 1.0600 | 0.693 | 0.7633 |
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- | 0.2579 | 5.0 | 1880 | 1.5383 | 0.676 | 0.7527 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5474
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+ - Accuracy: 0.743
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+ - F1: 0.8109
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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 | 376 | 0.5455 | 0.802 | 0.8313 |
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+ | 0.6434 | 2.0 | 752 | 0.5569 | 0.785 | 0.8416 |
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+ | 0.6356 | 3.0 | 1128 | 0.6061 | 0.711 | 0.8038 |
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+ | 0.5902 | 4.0 | 1504 | 0.5471 | 0.745 | 0.8200 |
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+ | 0.5902 | 5.0 | 1880 | 0.5474 | 0.743 | 0.8109 |
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  ### Framework versions
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