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

# 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: 1.1748
- Bleu: 44.0446
- Meteor: 0.6916
- Chrf++: 62.8076

## 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++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.3249        | 0.44  | 2500  | 2.0076          | 28.1155 | 0.5563 | 49.3185 |
| 2.4089        | 0.88  | 5000  | 1.7085          | 33.4675 | 0.6049 | 54.1053 |
| 2.1313        | 1.31  | 7500  | 1.5707          | 36.5102 | 0.6324 | 56.7478 |
| 1.9952        | 1.75  | 10000 | 1.4745          | 38.023  | 0.6421 | 57.9508 |
| 1.8897        | 2.19  | 12500 | 1.4185          | 39.0718 | 0.6512 | 58.9236 |
| 1.8052        | 2.63  | 15000 | 1.3728          | 40.11   | 0.6593 | 59.6738 |
| 1.7568        | 3.06  | 17500 | 1.3367          | 40.647  | 0.6648 | 60.0802 |
| 1.6834        | 3.5   | 20000 | 1.3046          | 41.6093 | 0.6713 | 60.8373 |
| 1.6584        | 3.94  | 22500 | 1.2721          | 41.9856 | 0.675  | 61.1498 |
| 1.5942        | 4.38  | 25000 | 1.2509          | 42.4053 | 0.6807 | 61.6486 |
| 1.5756        | 4.81  | 27500 | 1.2298          | 42.9706 | 0.6828 | 61.9567 |
| 1.5408        | 5.25  | 30000 | 1.2189          | 43.2046 | 0.6825 | 62.0617 |
| 1.5147        | 5.69  | 32500 | 1.2031          | 43.404  | 0.6859 | 62.2848 |
| 1.4953        | 6.13  | 35000 | 1.1941          | 43.6281 | 0.6881 | 62.4345 |
| 1.4689        | 6.56  | 37500 | 1.1847          | 43.8479 | 0.6889 | 62.5928 |
| 1.4666        | 7.0   | 40000 | 1.1801          | 43.7555 | 0.6902 | 62.5955 |
| 1.4424        | 7.44  | 42500 | 1.1770          | 43.8281 | 0.6902 | 62.6384 |
| 1.4415        | 7.88  | 45000 | 1.1743          | 43.9782 | 0.6912 | 62.751  |
| 1.4347        | 8.31  | 47500 | 1.1751          | 44.0103 | 0.6919 | 62.7896 |
| 1.4309        | 8.75  | 50000 | 1.1748          | 44.0446 | 0.6916 | 62.8076 |


### Framework versions

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