---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: text-correction-en-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# text-correction-en-small

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the small portion of
this [dataset](https://huggingface.co/datasets/gudleifrr/text-correction-en).

## Model description

This model is fine-tuned on the task of text correction: it fixes English text with the wrong grammar, punctuation and order of words.
Significantly larger model that supports Russian language as well can be found [here](https://huggingface.co/gudleifrr/mt5-text-correction-enru).


## Training and evaluation data

Around 10% of the data from this [dataset](https://huggingface.co/datasets/gudleifrr/text-correction-en) was used.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1