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xlm-roberta-base-finetuned-ud-arabic

Token Classification
Transformers
TensorBoard
Safetensors
Arabic
xlm-roberta
Generated from Trainer
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  1. README.md +9 -7
  2. model.safetensors +1 -1
  3. runs/Jan14_21-40-06_c6cbf44d16cb/events.out.tfevents.1705268412.c6cbf44d16cb.26.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -5,6 +5,7 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - f1
 
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  model-index:
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  - name: xlm-roberta-base-finetuned-ud-arabic
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  results: []
@@ -17,8 +18,9 @@ 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: 0.0931
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- - F1: 0.9681
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.1854 | 1.0 | 3038 | 0.1102 | 0.9599 |
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- | 0.0908 | 2.0 | 6076 | 0.0918 | 0.9659 |
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- | 0.0576 | 3.0 | 9114 | 0.0931 | 0.9681 |
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  ### Framework versions
 
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  - generated_from_trainer
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  metrics:
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  - f1
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+ - accuracy
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  model-index:
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  - name: xlm-roberta-base-finetuned-ud-arabic
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  results: []
 
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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: 0.0917
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+ - F1: 0.9700
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+ - Accuracy: 0.9794
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | 0.1887 | 1.0 | 3038 | 0.1140 | 0.9588 | 0.9715 |
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+ | 0.09 | 2.0 | 6076 | 0.0907 | 0.9665 | 0.9768 |
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+ | 0.0558 | 3.0 | 9114 | 0.0917 | 0.9700 | 0.9794 |
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  ### Framework versions
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