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mt5-base-finetuned-ukr-gec
schhwmn/mt5-base-finetuned-ukr-gec
mt5-base-finetuned-ukr-gec is a machine learning model from schhwmn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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.
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At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Apr 15, 2022
- Updated
- May 23, 2022
- SHA
- b0c565b7
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Model card
From the Hugging Face model README
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:
batch_size = 8
num_train_epochs = 6
learning_rate=5e-5
weight_decay=0.01
optim = "adafactor"
- Library
- transformers
- Type
- mt5
- Languages
- uk
- Created
- Apr 15, 2022
- Updated
- May 23, 2022