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README.md
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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
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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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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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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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