---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-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. -->

# mt5-base-spanish-yoremnokki

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8910
- Bleu: 20.9873
- Gen Len: 12.2218

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 2.9865        | 0.9997 | 1728  | 2.4599          | 19.12   | 12.2553 |
| 2.5084        | 2.0    | 3457  | 2.1867          | 20.9775 | 12.815  |
| 2.2879        | 2.9997 | 5185  | 2.0527          | 20.9572 | 12.537  |
| 2.1599        | 4.0    | 6914  | 1.9781          | 21.1008 | 12.4693 |
| 2.1032        | 4.9997 | 8642  | 1.9272          | 21.1189 | 12.4292 |
| 2.0649        | 6.0    | 10371 | 1.8999          | 20.9375 | 12.2177 |
| 1.9988        | 6.9980 | 12096 | 1.8910          | 20.9873 | 12.2218 |


### Framework versions

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