---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: grammer_correction
  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. -->

# grammer_correction

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5597
- Rouge1: 72.0915
- Rouge2: 62.3018
- Rougel: 71.394
- Rougelsum: 71.4259
- Gen Len: 17.2788

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.7668        | 0.1   | 500  | 0.6242          | 71.3363 | 60.9781 | 70.5891 | 70.6201   | 17.3304 |
| 0.6709        | 0.19  | 1000 | 0.5964          | 71.6241 | 61.4598 | 70.8874 | 70.9203   | 17.3076 |
| 0.6519        | 0.29  | 1500 | 0.5821          | 71.7998 | 61.7754 | 71.0777 | 71.1094   | 17.2958 |
| 0.6391        | 0.39  | 2000 | 0.5748          | 71.9032 | 61.9596 | 71.1882 | 71.2215   | 17.2895 |
| 0.6311        | 0.48  | 2500 | 0.5684          | 71.9839 | 62.09   | 71.2714 | 71.3041   | 17.2805 |
| 0.6233        | 0.58  | 3000 | 0.5667          | 72.0308 | 62.1784 | 71.3246 | 71.3588   | 17.2816 |
| 0.6236        | 0.68  | 3500 | 0.5626          | 72.0792 | 62.2549 | 71.3753 | 71.4061   | 17.2703 |
| 0.6223        | 0.78  | 4000 | 0.5607          | 72.0838 | 62.2734 | 71.38   | 71.4126   | 17.2766 |
| 0.6157        | 0.87  | 4500 | 0.5603          | 72.0975 | 62.2993 | 71.3977 | 71.4284   | 17.2772 |
| 0.6167        | 0.97  | 5000 | 0.5597          | 72.0915 | 62.3018 | 71.394  | 71.4259   | 17.2788 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3