---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: FlanT5_Grammar_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. -->

# FlanT5_Grammar_Correction

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5641
- Rouge1: 25.8411
- Rouge2: 21.9266
- Rougel: 25.6021
- Rougelsum: 25.8204
- Gen Len: 18.66

## 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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 70   | 0.6908          | 24.6523 | 20.2616 | 24.4437 | 24.5628   | 18.7067 |
| No log        | 2.0   | 140  | 0.6518          | 24.8929 | 20.7179 | 24.6941 | 24.82     | 18.6933 |
| No log        | 3.0   | 210  | 0.6094          | 25.3966 | 21.4469 | 25.1476 | 25.3394   | 18.66   |
| No log        | 4.0   | 280  | 0.6017          | 25.6059 | 21.6233 | 25.3733 | 25.602    | 18.65   |
| No log        | 5.0   | 350  | 0.5839          | 25.6422 | 21.6618 | 25.399  | 25.6115   | 18.6533 |
| No log        | 6.0   | 420  | 0.5743          | 25.6713 | 21.6384 | 25.4196 | 25.645    | 18.6533 |
| No log        | 7.0   | 490  | 0.5710          | 25.7888 | 21.8155 | 25.5426 | 25.7576   | 18.6667 |
| 0.7559        | 8.0   | 560  | 0.5669          | 25.8358 | 21.8943 | 25.5741 | 25.8059   | 18.6667 |
| 0.7559        | 9.0   | 630  | 0.5651          | 25.8471 | 21.9295 | 25.606  | 25.8206   | 18.66   |
| 0.7559        | 10.0  | 700  | 0.5641          | 25.8411 | 21.9266 | 25.6021 | 25.8204   | 18.66   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0