---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-neutralisation
  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. -->

# t5-neutralisation

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: 0.0593
- Bleu: 54.7416
- Gen Len: 18.7292

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 440  | 0.0837          | 53.9225 | 18.6042 |
| 0.0369        | 2.0   | 880  | 0.0739          | 54.1449 | 18.6354 |
| 0.034         | 3.0   | 1320 | 0.0690          | 54.4631 | 18.6562 |
| 0.0346        | 4.0   | 1760 | 0.0625          | 54.7416 | 18.7292 |
| 0.0423        | 5.0   | 2200 | 0.0599          | 54.7416 | 18.7292 |
| 0.0406        | 6.0   | 2640 | 0.0593          | 54.7416 | 18.7292 |


### Framework versions

- Transformers 4.51.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4