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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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  # irony_en_Australia
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0036
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  - Accuracy: 0.7201
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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-
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  results: []
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  # irony_en_Australia
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on part of the [EPIC](https://huggingface.co/datasets/Multilingual-Perspectivist-NLU/EPIC) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0036
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  - Accuracy: 0.7201
 
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  ## Model description
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+ The model is trained considering the annotation of annotators from Australia only. The Australian annotations from these annotators are aggregated using majority voting and then used to train the model.
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  ## Training and evaluation data
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+ The model has been trained on the annotation from annotators from Australia from the [EPIC](https://huggingface.co/datasets/Multilingual-Perspectivist-NLU/EPIC) dataset. The data has been randomly split into a train and a validation set.
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  ## Training procedure
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