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README.md
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model-index:
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- name: multi-wiki-qa-gn-xlm-v-base
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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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# multi-wiki-qa-gn-xlm-v-base
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This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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### Training results
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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model-index:
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- name: multi-wiki-qa-gn-xlm-v-base
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results: []
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datasets:
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- alexandrainst/multi-wiki-qa
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language:
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- es
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- gn
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- grn
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- gug
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metrics:
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- squad
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- f1
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- exact_match
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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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# multi-wiki-qa-gn-xlm-v-base
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This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on [alexandrainst/multi-wiki-qa](https://huggingface.co/datasets/alexandrainst/multi-wiki-qa) dataset.
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Results on test set:
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- exact_match: 31.3373253493014
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- f1: 48.315832905161635
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## Model description
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The best model for QA on my account, prefer this ones over the other models trained with this corpus.
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## Intended uses & limitations
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Question Answering on Guarani.
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## Training and evaluation data
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### Training results
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Results on validation set:
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- exact_match: 31.914893617021278
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- f1: 45.947126767245244
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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