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xlm-roberta-base-finetuned-panx-de-fr

Token Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Model card Files
xet
Community
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haesun commited on
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1 Parent(s): dadec22

Training completed!

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  1. README.md +5 -5
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1642
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- - F1: 0.8561
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  ## Model description
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@@ -49,9 +49,9 @@ 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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- | 0.2932 | 1.0 | 715 | 0.1829 | 0.8220 |
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- | 0.1486 | 2.0 | 1430 | 0.1612 | 0.8463 |
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- | 0.0925 | 3.0 | 2145 | 0.1642 | 0.8561 |
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  ### Framework versions
 
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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: 0.1636
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+ - F1: 0.8559
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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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+ | 0.2904 | 1.0 | 715 | 0.1834 | 0.8188 |
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+ | 0.147 | 2.0 | 1430 | 0.1622 | 0.8489 |
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+ | 0.0938 | 3.0 | 2145 | 0.1636 | 0.8559 |
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  ### Framework versions
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