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--- |
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pipeline_tag: text-classification |
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tags: |
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- natural-language-inference |
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- misogyny |
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language: en |
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license: apache-2.0 |
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widget: |
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- text: "Las mascarillas causan hipoxia. Wearing masks is harmful to human health" |
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example_title: "Natural Language Inference" |
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--- |
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# bertweet-base-multi-mami |
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This is a finetuned XLM-RoBERTA model for natural language inference. It has been trained with a massive ammount of data following the ANLI pipeline training. We include data from: |
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- [mnli](https://cims.nyu.edu/~sbowman/multinli/) {train, dev and test} |
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- [snli](https://nlp.stanford.edu/projects/snli/) {train, dev and test} |
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- [xnli](https://github.com/facebookresearch/XNLI) {train, dev and test} |
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- [fever](https://fever.ai/resources.html) {train, dev and test} |
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- [anli](https://github.com/facebookresearch/anli) {train} |
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The model is validated on ANLI training sets, including R1, R2 and R3. The following results can be expected on the testing splits. |
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|Split|Accuracy| |
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|-|-| |
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|R1|0.6610| |
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|R2|0.4990| |
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|R3|0.4425| |
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# Multilabels |
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label2id={ |
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"contradiction": 0, |
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"entailment": 1, |
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"neutral": 2, |
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}, |
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