This model was finetuned on errorful sentences from the `train` subset of [UA-GEC](https://github.com/grammarly/ua-gec) corpus, introduced in [UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language](https://arxiv.org/abs/2103.16997) paper.

Only sentences containing errors were used; 8,874 sentences for training and 987 sentences for validation. The training arguments were defined as follows:
```
batch_size = 8
num_train_epochs = 6
learning_rate=5e-5
weight_decay=0.01
optim = "adafactor"
```
{"language": "uk", "tags": ["gec"], "widget": [{"text": "\u044f \u0439 \u043d\u0435 \u0434\u0443\u043c\u0430\u0432 \u0449\u043e \u043a\u043e\u043c\u043f'\u044e\u0442\u0435\u0440\u043d\u0430 \u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u0438\u043a\u0430 \u0446\u0435 \u043b\u0435\u0433\u043a\u043e\u043e."}]}
transformers pytorch mt5 text2text-generation gec uk arxiv:2103.16997 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #gec #uk #arxiv-2103.16997 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

This model was finetuned on errorful sentences from the 'train' subset of UA-GEC corpus, introduced in UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language paper.

Only sentences containing errors were used; 8,874 sentences for training and 987 sentences for validation. The training arguments were defined as follows:

TAGS
#transformers #pytorch #mt5 #text2text-generation #gec #uk #arxiv-2103.16997 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #gec #uk #arxiv-2103.16997 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
