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@@ -27,4 +27,4 @@ Following the evaluation criteria from the [2020 Second Shared Task on Metaphor
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  We train for 8 epochs loading the model with the best evaluation performance at the end and using a learning rate of 2e-5. From the allocated training data 10% are utilized for validation while the final test set is being kept seperate and only used for the final evaluation.
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  # Code for Training
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- The training and evaluation code is available on [Github](https://github.com/lwachowiak/Multilingual-Metaphor-Detection/edit/main/README.md)
 
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  We train for 8 epochs loading the model with the best evaluation performance at the end and using a learning rate of 2e-5. From the allocated training data 10% are utilized for validation while the final test set is being kept seperate and only used for the final evaluation.
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  # Code for Training
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+ The training and evaluation code is available on [Github](https://github.com/lwachowiak/Multilingual-Metaphor-Detection/)