---
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5.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.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: 1.4858
- Bleu: 39.6397
- Meteor: 0.6687
- Chrf++: 61.2886

## 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++  |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.0381        | 0.5398 | 3000  | 2.0786          | 30.3181 | 0.59   | 53.6607 |
| 2.3046        | 1.0795 | 6000  | 1.8303          | 34.3855 | 0.6263 | 57.2186 |
| 2.0531        | 1.6193 | 9000  | 1.6969          | 36.2615 | 0.643  | 58.7366 |
| 1.9175        | 2.1591 | 12000 | 1.6209          | 37.2847 | 0.6507 | 59.5299 |
| 1.814         | 2.6988 | 15000 | 1.5698          | 38.2556 | 0.6599 | 60.3273 |
| 1.746         | 3.2386 | 18000 | 1.5331          | 38.7361 | 0.6629 | 60.6706 |
| 1.6921        | 3.7783 | 21000 | 1.5058          | 39.1633 | 0.6658 | 60.9563 |
| 1.6484        | 4.3181 | 24000 | 1.4933          | 39.4633 | 0.6677 | 61.1991 |
| 1.6291        | 4.8579 | 27000 | 1.4869          | 39.5943 | 0.6687 | 61.2864 |
| 1.6185        | 5.3976 | 30000 | 1.4858          | 39.6397 | 0.6687 | 61.2886 |


### Framework versions

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