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xlm-roberta-base-finetuned-panx-de

Token Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1370
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- - F1: 0.8644
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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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- | 0.2585 | 1.0 | 525 | 0.1510 | 0.8236 |
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- | 0.1246 | 2.0 | 1050 | 0.1427 | 0.8511 |
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- | 0.08 | 3.0 | 1575 | 0.1370 | 0.8644 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1661
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+ - F1: 0.8567
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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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+ | 0.3524 | 1.0 | 525 | 0.2022 | 0.8212 |
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+ | 0.1788 | 2.0 | 1050 | 0.1761 | 0.8439 |
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+ | 0.1156 | 3.0 | 1575 | 0.1661 | 0.8567 |
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  ### Framework versions
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