SkitCon
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gec-spanish-BETO-TOKEN-SYNTHETIC

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SkitCon commited on Dec 7, 2024

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 This model has been trained on 80% of the COWS-L2H dataset and 80,984 SYNTHETICALLY-GENERATED errorful sentences for grammatical error correction of Spanish text. The corpus was sentencized, so the model has been fine-tuned for SENTENCE CORRECTION. This model will likely not perform well on an entire paragraph. To correct a paragraph, sentencize the text and run the model for each sentence.
-BLEU: 0.740 on COWS-L2H
 This model requires imports from a Github as it has not been integrated with the Transformers library yet. Clone the repository: https://github.com/SkitCon/synth_gec_es. All imports in example code are from the top-level of this repo.

 This model has been trained on 80% of the COWS-L2H dataset and 80,984 SYNTHETICALLY-GENERATED errorful sentences for grammatical error correction of Spanish text. The corpus was sentencized, so the model has been fine-tuned for SENTENCE CORRECTION. This model will likely not perform well on an entire paragraph. To correct a paragraph, sentencize the text and run the model for each sentence.
+BLEU: 0.745 on COWS-L2H
 This model requires imports from a Github as it has not been integrated with the Transformers library yet. Clone the repository: https://github.com/SkitCon/synth_gec_es. All imports in example code are from the top-level of this repo.