transformers tensorboard safetensors t5 text2text-generation simplification generated_from_trainer base_model:vgaraujov/t5-base-spanish license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: vgaraujov/t5-base-spanish
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-neutralization
  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-neutralization

This model is a fine-tuned version of [vgaraujov/t5-base-spanish](https://huggingface.co/vgaraujov/t5-base-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0658
- Bleu: 95.48
- Gen Len: 14.0312

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 440  | 0.0838          | 95.1314 | 14.1042 |
| 0.3769        | 2.0   | 880  | 0.0658          | 95.48   | 14.0312 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
