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@@ -120,7 +120,7 @@ We follow the original English BERT model's hyperparameters for pre-training, un
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  - We used Hugging Face's transformers to fine-tune our CAMeLBERT models.
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  - We used transformers `v3.1.0` along with PyTorch `v1.5.1`.
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  - The fine-tuning was done by adding a fully connected linear layer to the last hidden state.
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- - We use \\(F_{1})\\ score as a metric for all tasks.
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  - Code used for fine-tuning is available [here](https://github.com/CAMeL-Lab/CAMeLBERT).
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  ### Results
 
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  - We used Hugging Face's transformers to fine-tune our CAMeLBERT models.
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  - We used transformers `v3.1.0` along with PyTorch `v1.5.1`.
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  - The fine-tuning was done by adding a fully connected linear layer to the last hidden state.
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+ - We use \\(F_{1}\\) score as a metric for all tasks.
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  - Code used for fine-tuning is available [here](https://github.com/CAMeL-Lab/CAMeLBERT).
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  ### Results