silvia-casola
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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_es_Mexico
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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: 0.6531
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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_es_Mexico
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on part of the MultiPICo 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: 0.6531
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## Model description
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The model is trained considering the annotation of annotators from Mexico only, on instances in Spanish (all linguistic varieties). The Mexican 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 Mexico from the MultiPICo dataset (instances in Spanish). The data has been randomly split into a train and a validation set.
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## Training procedure
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