Retrain with FLAN-T5-base about gramformer HOT 3 OPEN

@Bachstelze Yeah, Mr. Peter Szemraj trained using flan-t5-large model, size of the model is 3.13 GB as you evaluated sir.
Any suggetion, how can this flan-t5-large model from Mr. Peter Szemraj can be improved further.

from gramformer.

@akesh1235 you probably mean flan-t5-large-grammar-synthesis. This model is only trained on the JFLEG dataset. You can add more datasets for the english-centric Flan-T5:

• https://paperswithcode.com/datasets?task=grammatical-error-correction
• https://huggingface.co/datasets?other=grammatical-error-correction
  Also, you can add more languages: #32
  Flan-T5 is already pre-trained in plenty languages: English, Spanish, Japanese, Persian, Hindi, French, Chinese, Bengali, Gujarati, German, Telugu, Italian, Arabic, Polish, Tamil, Marathi, Malayalam, Oriya, Panjabi, Portuguese, Urdu, Galician, Hebrew, Korean, Catalan, Thai, Dutch, Indonesian, Vietnamese, Bulgarian, Filipino, Central Khmer, Lao, Turkish, Russian, Croatian, Swedish, Yoruba, Kurdish, Burmese, Malay, Czech, Finnish, Somali, Tagalog, Swahili, Sinhala, Kannada, Zhuang, Igbo, Xhosa, Romanian, Haitian, Estonian, Slovak, Lithuanian, Greek, Nepali, Assamese, Norwegian

from gramformer.

I have fine tune a flan-t5 model on my own small dataset about 1500 rows. But i find it not works. I only want to correct the error in my own dataset. others just to return the original text. it is not run as i expect.

from gramformer.