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

# gendered_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: 1.1770
- Bleu: 43.8724
- Meteor: 0.6916
- Chrf++: 62.661

## 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++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.3102        | 0.44  | 2500  | 2.0045          | 27.8405 | 0.5556 | 49.2062 |
| 2.408         | 0.88  | 5000  | 1.7104          | 33.3638 | 0.6039 | 54.2966 |
| 2.1298        | 1.31  | 7500  | 1.5654          | 36.5253 | 0.6312 | 56.719  |
| 1.9966        | 1.75  | 10000 | 1.4823          | 37.7206 | 0.6409 | 57.8933 |
| 1.8882        | 2.19  | 12500 | 1.4168          | 39.2333 | 0.6518 | 59.0052 |
| 1.8055        | 2.63  | 15000 | 1.3736          | 39.9916 | 0.6585 | 59.5057 |
| 1.756         | 3.06  | 17500 | 1.3454          | 40.4973 | 0.6622 | 59.9928 |
| 1.6829        | 3.5   | 20000 | 1.3109          | 41.6502 | 0.6732 | 60.8574 |
| 1.6575        | 3.94  | 22500 | 1.2729          | 41.7069 | 0.6729 | 60.9659 |
| 1.5944        | 4.38  | 25000 | 1.2549          | 42.2762 | 0.6783 | 61.5535 |
| 1.5758        | 4.81  | 27500 | 1.2349          | 42.6516 | 0.6803 | 61.6749 |
| 1.5407        | 5.25  | 30000 | 1.2231          | 42.6637 | 0.6817 | 61.7779 |
| 1.5146        | 5.69  | 32500 | 1.2082          | 42.8507 | 0.6856 | 61.9916 |
| 1.4953        | 6.13  | 35000 | 1.1988          | 43.387  | 0.6873 | 62.2332 |
| 1.4687        | 6.56  | 37500 | 1.1874          | 43.4174 | 0.6876 | 62.3151 |
| 1.4664        | 7.0   | 40000 | 1.1825          | 43.7501 | 0.6913 | 62.5472 |
| 1.4415        | 7.44  | 42500 | 1.1803          | 43.7744 | 0.6909 | 62.6208 |
| 1.4408        | 7.88  | 45000 | 1.1771          | 43.8914 | 0.692  | 62.6599 |
| 1.4346        | 8.31  | 47500 | 1.1772          | 43.9709 | 0.6919 | 62.7096 |
| 1.4311        | 8.75  | 50000 | 1.1770          | 43.8724 | 0.6916 | 62.661  |


### Framework versions

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