---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: flan-t5-small-gec
  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. -->

# flan-t5-small-gec

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3409
- Sacrebleu: 80.4351

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Sacrebleu |
|:-------------:|:------:|:-----:|:---------------:|:---------:|
| 0.4499        | 0.2591 | 1000  | 0.3853          | 79.3662   |
| 0.4321        | 0.5181 | 2000  | 0.3655          | 79.6704   |
| 0.4061        | 0.7772 | 3000  | 0.3589          | 80.0453   |
| 0.4015        | 1.0363 | 4000  | 0.3518          | 80.1396   |
| 0.4114        | 1.2953 | 5000  | 0.3480          | 80.1401   |
| 0.4088        | 1.5544 | 6000  | 0.3445          | 80.2909   |
| 0.3998        | 1.8135 | 7000  | 0.3441          | 80.2896   |
| 0.3851        | 2.0725 | 8000  | 0.3429          | 80.3305   |
| 0.379         | 2.3316 | 9000  | 0.3402          | 80.3939   |
| 0.3756        | 2.5907 | 10000 | 0.3411          | 80.4061   |
| 0.3807        | 2.8497 | 11000 | 0.3409          | 80.4351   |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0