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

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: 1.5093
- Bleu: 38.6464
- Meteor: 0.661
- Chrf++: 60.6878

## 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++  |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.0484        | 0.3215 | 3000  | 2.1130          | 29.7312 | 0.5872 | 53.2622 |
| 2.3309        | 0.6431 | 6000  | 1.8472          | 33.4852 | 0.6209 | 56.6127 |
| 2.0987        | 0.9646 | 9000  | 1.7299          | 35.1261 | 0.6355 | 58.0524 |
| 1.9355        | 1.2862 | 12000 | 1.6594          | 36.3851 | 0.6449 | 58.9991 |
| 1.8568        | 1.6077 | 15000 | 1.5978          | 37.0844 | 0.6499 | 59.4457 |
| 1.8039        | 1.9293 | 18000 | 1.5601          | 37.7628 | 0.6562 | 60.145  |
| 1.7271        | 2.2508 | 21000 | 1.5298          | 38.1387 | 0.6572 | 60.3042 |
| 1.6984        | 2.5723 | 24000 | 1.5148          | 38.5117 | 0.66   | 60.5765 |
| 1.6846        | 2.8939 | 27000 | 1.5096          | 38.5563 | 0.6604 | 60.6276 |
| 1.6687        | 3.2154 | 30000 | 1.5093          | 38.6464 | 0.661  | 60.6878 |


### Framework versions

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