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

# 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: 1.1724
- Bleu: 43.677
- Meteor: 0.6901
- Chrf++: 62.5868

## 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: 50000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Meteor | Chrf++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.3403        | 0.26  | 2500  | 2.0224          | 27.59   | 0.5546 | 49.0181 |
| 2.4264        | 0.53  | 5000  | 1.7329          | 32.4582 | 0.6023 | 53.8983 |
| 2.1747        | 0.79  | 7500  | 1.5850          | 35.9783 | 0.6246 | 56.295  |
| 2.0285        | 1.05  | 10000 | 1.5016          | 37.3015 | 0.638  | 57.5591 |
| 1.9104        | 1.32  | 12500 | 1.4356          | 38.832  | 0.6501 | 58.6692 |
| 1.8547        | 1.58  | 15000 | 1.3784          | 39.7112 | 0.6593 | 59.4218 |
| 1.8013        | 1.84  | 17500 | 1.3481          | 39.9137 | 0.6608 | 59.7434 |
| 1.7372        | 2.11  | 20000 | 1.3070          | 40.8569 | 0.6679 | 60.4092 |
| 1.6845        | 2.37  | 22500 | 1.2847          | 41.5254 | 0.6721 | 60.8743 |
| 1.6611        | 2.64  | 25000 | 1.2574          | 42.0492 | 0.6767 | 61.2287 |
| 1.6382        | 2.9   | 27500 | 1.2372          | 42.2626 | 0.6806 | 61.5161 |
| 1.595         | 3.16  | 30000 | 1.2220          | 42.827  | 0.6835 | 61.9015 |
| 1.5645        | 3.43  | 32500 | 1.2088          | 42.909  | 0.6828 | 61.8832 |
| 1.5557        | 3.69  | 35000 | 1.1981          | 43.2386 | 0.6852 | 62.1239 |
| 1.5473        | 3.95  | 37500 | 1.1862          | 43.4076 | 0.6866 | 62.3625 |
| 1.5147        | 4.22  | 40000 | 1.1797          | 43.5469 | 0.6876 | 62.3958 |
| 1.5089        | 4.48  | 42500 | 1.1765          | 43.5486 | 0.689  | 62.5208 |
| 1.5032        | 4.74  | 45000 | 1.1738          | 43.6415 | 0.6893 | 62.5473 |
| 1.4998        | 5.01  | 47500 | 1.1724          | 43.6758 | 0.6898 | 62.581  |
| 1.4905        | 5.27  | 50000 | 1.1724          | 43.677  | 0.6901 | 62.5868 |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2