---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
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-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8622
- Bleu: 10.7378
- Gen Len: 14.22

## 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: 1e-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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 3.4879        | 1.0   | 839  | 2.3617          | 0.2661  | 14.6218 |
| 2.4168        | 2.0   | 1678 | 2.0854          | 1.8065  | 14.3043 |
| 2.2109        | 3.0   | 2517 | 1.9512          | 5.2629  | 14.2827 |
| 2.1335        | 4.0   | 3356 | 1.8816          | 9.4622  | 14.23   |
| 2.0758        | 5.0   | 4195 | 1.8622          | 10.7378 | 14.22   |


### Framework versions

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