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xlm-roberta-base-finetuned-panx-de

Token Classification
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xlm-roberta
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Training completed!

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/Apr17_20-32-16_YOUNGKIM-PC2/events.out.tfevents.1713353693.YOUNGKIM-PC2.25744.0 +3 -0
  4. training_args.bin +2 -2
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: 0.1542
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- - F1: 0.8694
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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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- | 0.2596 | 1.0 | 1573 | 0.1875 | 0.8086 |
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- | 0.1373 | 2.0 | 3146 | 0.1653 | 0.8513 |
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- | 0.0806 | 3.0 | 4719 | 0.1542 | 0.8694 |
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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: 0.1569
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+ - F1: 0.8672
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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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+ | 0.2583 | 1.0 | 1573 | 0.1614 | 0.8276 |
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+ | 0.1367 | 2.0 | 3146 | 0.1483 | 0.8550 |
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+ | 0.0784 | 3.0 | 4719 | 0.1569 | 0.8672 |
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  ### Framework versions
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