---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-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-base-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: 1.7231
- Bleu: 13.837
- Gen Len: 14.1189

## 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: Use 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 3.5123        | 0.9994 | 846  | 2.3345          | 0.2307  | 14.7029 |
| 2.4145        | 2.0    | 1693 | 2.0424          | 1.9545  | 14.144  |
| 2.1669        | 2.9994 | 2539 | 1.8778          | 9.3899  | 14.1364 |
| 2.0852        | 4.0    | 3386 | 1.7938          | 13.1303 | 14.0983 |
| 1.9892        | 4.9994 | 4232 | 1.7520          | 13.5863 | 14.1249 |
| 1.9364        | 6.0    | 5079 | 1.7295          | 13.7623 | 14.1375 |
| 1.9286        | 6.9959 | 5922 | 1.7231          | 13.837  | 14.1189 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3