Add test set results per language
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README.md
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slightly longer training duration and set the gradient_accumulation_steps to 2.
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Please refer to the official [model page](https://huggingface.co/tomaarsen/span-marker-mbert-base-multinerd) to review their results and training script
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## Label set
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| Class | Description | Examples |
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slightly longer training duration and set the gradient_accumulation_steps to 2.
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Please refer to the official [model page](https://huggingface.co/tomaarsen/span-marker-mbert-base-multinerd) to review their results and training script
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## Results:
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| **Language** | **Precision** | **Recall** | **F1** |
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|--------------|---------------|------------|------------|
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| **all** | 92.42 | 92.81 | **92.61** |
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| **de** | 95.03 | 95.07 | **95.05** |
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| **en** | 95.00 | 95.40 | **95.20** |
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| **es** | 92.05 | 91.37 | **91.71** |
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| **fr** | 92.37 | 91.41 | **91.89** |
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| **it** | 91.45 | 93.15 | **92.29** |
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| **nl** | 93.85 | 92.98 | **93.41** |
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| **pl** | 93.13 | 92.66 | **92.89** |
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| **pt** | 93.60 | 92.50 | **93.05** |
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| **ru** | 93.25 | 93.32 | **93.29** |
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| **zh** | 89.47 | 88.40 | **88.93** |
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- Special thanks to Tom for creating the evaluation script and generating the [results](https://huggingface.co/lxyuan/span-marker-bert-base-multilingual-cased-multinerd/discussions/1).
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## Label set
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| Class | Description | Examples |
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