grammar-synthesis: flan-t5-xl

This model is a fine-tuned version of google/flan-t5-xl on an extended version of the JFLEG dataset.

• here is a custom class wrapper that makes using this with bitsandbytes easier
• the API can be slow due to model size, try the notebook !

Model description

The intent is to create a text2text language model that successfully performs "single-shot grammar correction" on a potentially grammatically incorrect text that could have many errors with the important qualifier that it does not semantically change text/information that IS grammatically correct. .

Compare some of the more severe error examples on other grammar correction models to see the difference :)

Limitations

• Data set: cc-by-nc-sa-4.0
• Model: apache-2.0
• currently a work in progress ! While probably useful for "single-shot grammar correction" in many cases, check the output for correctness, ok? .

Training procedure

Training hyperparameters

• TODO: add this. It was a single epoch at higher LR

The following hyperparameters were used during training:

• learning_rate: 4e-05
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.02
• num_epochs: 2.0