---
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: 1.7824
- Bleu: 12.9294
- Gen Len: 14.0092

## 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 3.4916        | 0.9994 | 846  | 2.3536          | 0.21    | 14.4369 |
| 2.4194        | 2.0    | 1693 | 2.0655          | 2.0366  | 13.9808 |
| 2.1821        | 2.9994 | 2539 | 1.9102          | 7.286   | 14.0406 |
| 2.1132        | 4.0    | 3386 | 1.8290          | 12.0392 | 14.003  |
| 2.0125        | 4.9994 | 4232 | 1.7935          | 12.8393 | 14.01   |
| 1.9896        | 5.9965 | 5076 | 1.7824          | 12.9294 | 14.0092 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1