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@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-roberta-base-finetuned-panx-de-fr
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2821
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- - F1: 0.8299
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  ## Model description
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@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5845 | 1.0 | 167 | 0.3458 | 0.7820 |
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- | 0.279 | 2.0 | 334 | 0.2963 | 0.8142 |
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- | 0.1898 | 3.0 | 501 | 0.2821 | 0.8299 |
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  ### Framework versions
 
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  # xlm-roberta-base-finetuned-panx-de-fr
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1608
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+ - F1: 0.8611
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.2843 | 1.0 | 715 | 0.1784 | 0.8286 |
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+ | 0.1453 | 2.0 | 1430 | 0.1629 | 0.8477 |
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+ | 0.0949 | 3.0 | 2145 | 0.1608 | 0.8611 |
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  ### Framework versions