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

# gendered_balanced_new

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: 1.1763
- Bleu: 43.813
- Meteor: 0.6892
- Chrf++: 62.6103

## 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++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.297         | 0.44  | 2500  | 2.0050          | 28.2124 | 0.5592 | 49.6855 |
| 2.4102        | 0.88  | 5000  | 1.7130          | 33.5308 | 0.6073 | 54.4802 |
| 2.1323        | 1.31  | 7500  | 1.5723          | 36.3429 | 0.6293 | 56.6736 |
| 1.9971        | 1.75  | 10000 | 1.4819          | 37.5927 | 0.6411 | 57.7792 |
| 1.8896        | 2.19  | 12500 | 1.4211          | 38.9306 | 0.6509 | 58.8416 |
| 1.8066        | 2.63  | 15000 | 1.3774          | 40.4467 | 0.6587 | 59.8543 |
| 1.7574        | 3.06  | 17500 | 1.3336          | 40.6982 | 0.6646 | 60.1397 |
| 1.6837        | 3.5   | 20000 | 1.3066          | 41.6068 | 0.6716 | 60.8397 |
| 1.6587        | 3.94  | 22500 | 1.2767          | 41.5927 | 0.6719 | 60.9297 |
| 1.595         | 4.38  | 25000 | 1.2556          | 42.1176 | 0.6762 | 61.2694 |
| 1.5764        | 4.81  | 27500 | 1.2317          | 42.9623 | 0.6814 | 61.9533 |
| 1.5416        | 5.25  | 30000 | 1.2212          | 42.9789 | 0.681  | 61.9041 |
| 1.5155        | 5.69  | 32500 | 1.2070          | 43.3916 | 0.6865 | 62.3045 |
| 1.4955        | 6.13  | 35000 | 1.1973          | 43.455  | 0.6854 | 62.2717 |
| 1.4688        | 6.56  | 37500 | 1.1863          | 43.5298 | 0.6857 | 62.3399 |
| 1.467         | 7.0   | 40000 | 1.1827          | 43.7299 | 0.6884 | 62.4926 |
| 1.4416        | 7.44  | 42500 | 1.1796          | 43.7634 | 0.6887 | 62.5774 |
| 1.4411        | 7.88  | 45000 | 1.1764          | 43.93   | 0.6896 | 62.6606 |
| 1.434         | 8.31  | 47500 | 1.1764          | 43.8254 | 0.6885 | 62.5964 |
| 1.4311        | 8.75  | 50000 | 1.1763          | 43.813  | 0.6892 | 62.6103 |


### Framework versions

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