---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: GEC-T5-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. -->

# GEC-T5-small

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6816

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 325  | 1.8041          |
| 1.908         | 2.0   | 650  | 1.7697          |
| 1.908         | 3.0   | 975  | 1.7359          |
| 1.8218        | 4.0   | 1300 | 1.7228          |
| 1.7942        | 5.0   | 1625 | 1.7061          |
| 1.7942        | 6.0   | 1950 | 1.6981          |
| 1.7497        | 7.0   | 2275 | 1.6910          |
| 1.7379        | 8.0   | 2600 | 1.6848          |
| 1.7379        | 9.0   | 2925 | 1.6828          |
| 1.7165        | 10.0  | 3250 | 1.6816          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1