---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-spanish-yoremnokki
  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-small-spanish-yoremnokki

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8387
- Bleu: 0.0357
- Gen Len: 11.8931

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
| No log        | 0.9989 | 463  | 3.1886          | 0.0016 | 11.7323 |
| 3.8008        | 2.0    | 927  | 2.9507          | 0.0162 | 11.6761 |
| 3.2701        | 2.9989 | 1390 | 2.8636          | 0.0301 | 11.8016 |
| 3.125         | 3.9957 | 1852 | 2.8387          | 0.0357 | 11.8931 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1