---
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: gendered_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_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: 1.1752
- Bleu: 43.4465
- Meteor: 0.6886
- Chrf++: 62.4831

## 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++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.5213        | 0.26  | 2500  | 2.0240          | 27.6825 | 0.5543 | 48.9268 |
| 2.422         | 0.53  | 5000  | 1.7336          | 33.2108 | 0.6032 | 54.1788 |
| 2.173         | 0.79  | 7500  | 1.5902          | 35.8768 | 0.6243 | 56.215  |
| 2.0274        | 1.05  | 10000 | 1.4993          | 37.3691 | 0.6371 | 57.5369 |
| 1.9096        | 1.32  | 12500 | 1.4399          | 38.4947 | 0.6495 | 58.5692 |
| 1.8532        | 1.58  | 15000 | 1.3892          | 39.6338 | 0.6586 | 59.4359 |
| 1.7999        | 1.84  | 17500 | 1.3481          | 40.1694 | 0.6639 | 59.8771 |
| 1.7366        | 2.11  | 20000 | 1.3057          | 41.1684 | 0.6702 | 60.6373 |
| 1.6849        | 2.37  | 22500 | 1.2913          | 41.2899 | 0.6702 | 60.7243 |
| 1.6608        | 2.64  | 25000 | 1.2600          | 41.9037 | 0.6749 | 61.1685 |
| 1.6367        | 2.9   | 27500 | 1.2382          | 42.2288 | 0.6806 | 61.5742 |
| 1.5943        | 3.16  | 30000 | 1.2196          | 42.9029 | 0.6828 | 61.9359 |
| 1.5647        | 3.43  | 32500 | 1.2091          | 42.7591 | 0.6826 | 61.9382 |
| 1.5553        | 3.69  | 35000 | 1.1987          | 43.2246 | 0.6845 | 62.2767 |
| 1.5466        | 3.95  | 37500 | 1.1888          | 43.3998 | 0.687  | 62.3713 |
| 1.5153        | 4.22  | 40000 | 1.1826          | 43.3886 | 0.6883 | 62.4512 |
| 1.5089        | 4.48  | 42500 | 1.1786          | 43.5134 | 0.6892 | 62.5449 |
| 1.5035        | 4.74  | 45000 | 1.1769          | 43.4891 | 0.6884 | 62.5178 |
| 1.5001        | 5.01  | 47500 | 1.1754          | 43.3885 | 0.6882 | 62.4596 |
| 1.4901        | 5.27  | 50000 | 1.1752          | 43.4465 | 0.6886 | 62.4831 |


### Framework versions

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