Antalela commited on
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End of training

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4163
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- - Accuracy: 0.8314
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- - F1: 0.8297
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  ## Model description
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@@ -52,9 +52,9 @@ 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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- | 0.5081 | 1.0 | 667 | 0.4139 | 0.8271 | 0.8260 |
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- | 0.6191 | 2.0 | 1334 | 0.5852 | 0.8113 | 0.8120 |
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- | 0.3422 | 3.0 | 2001 | 0.6143 | 0.8292 | 0.8288 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5662
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+ - Accuracy: 0.8376
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+ - F1: 0.8363
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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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+ | 0.4346 | 1.0 | 667 | 0.4044 | 0.8192 | 0.8190 |
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+ | 0.5775 | 2.0 | 1334 | 0.4904 | 0.8222 | 0.8220 |
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+ | 0.3408 | 3.0 | 2001 | 0.5864 | 0.8341 | 0.8332 |
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  ### Framework versions
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