---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-small-opus-books-en-es
  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-opus-books-en-es

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1794
- Bleu: 0.6295
- Gen Len: 18.2373

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 5.5576        | 1.0   | 658  | 2.2235          | 0.5939 | 18.2723 |
| 5.0954        | 2.0   | 1316 | 2.1794          | 0.6295 | 18.2373 |


### Framework versions

- Transformers 5.5.0
- Pytorch 2.4.1+cu124
- Datasets 4.8.4
- Tokenizers 0.22.2