---
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5.gendered_balanced
  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.gendered_balanced

This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.en-es.pretrained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4866
- Bleu: 39.6812
- Meteor: 0.6692
- Chrf++: 61.3473

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- training_steps: 30000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Meteor | Chrf++  |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.1158        | 0.5398 | 3000  | 2.0732          | 30.5675 | 0.5924 | 53.893  |
| 2.3023        | 1.0795 | 6000  | 1.8272          | 34.4378 | 0.6271 | 57.2898 |
| 2.0519        | 1.6193 | 9000  | 1.6942          | 36.285  | 0.6425 | 58.7385 |
| 1.9164        | 2.1591 | 12000 | 1.6272          | 37.2462 | 0.6501 | 59.5268 |
| 1.8125        | 2.6988 | 15000 | 1.5733          | 38.0984 | 0.658  | 60.2315 |
| 1.745         | 3.2386 | 18000 | 1.5362          | 38.7569 | 0.6624 | 60.7258 |
| 1.6918        | 3.7783 | 21000 | 1.5089          | 39.1779 | 0.6656 | 60.9923 |
| 1.6465        | 4.3181 | 24000 | 1.4947          | 39.5129 | 0.6681 | 61.2241 |
| 1.6289        | 4.8579 | 27000 | 1.4876          | 39.6134 | 0.669  | 61.2987 |
| 1.6187        | 5.3976 | 30000 | 1.4866          | 39.6812 | 0.6692 | 61.3473 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1