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

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: 43.9515
- Meteor: 0.6913
- Chrf++: 62.7752

## 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++  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.3337        | 0.26  | 2500  | 2.0225          | 27.9199 | 0.5539 | 49.0346 |
| 2.4254        | 0.53  | 5000  | 1.7244          | 33.3111 | 0.6023 | 54.0561 |
| 2.1742        | 0.79  | 7500  | 1.5831          | 35.9048 | 0.6263 | 56.4407 |
| 2.027         | 1.05  | 10000 | 1.5000          | 37.665  | 0.6418 | 57.9131 |
| 1.9113        | 1.32  | 12500 | 1.4375          | 38.1525 | 0.6462 | 58.1999 |
| 1.8536        | 1.58  | 15000 | 1.3846          | 39.6031 | 0.659  | 59.4201 |
| 1.8003        | 1.84  | 17500 | 1.3468          | 40.1249 | 0.6625 | 59.8142 |
| 1.7367        | 2.11  | 20000 | 1.3078          | 41.024  | 0.6678 | 60.4354 |
| 1.6845        | 2.37  | 22500 | 1.2849          | 41.5369 | 0.6721 | 60.9458 |
| 1.6609        | 2.64  | 25000 | 1.2589          | 41.9956 | 0.676  | 61.2321 |
| 1.6362        | 2.9   | 27500 | 1.2358          | 42.5127 | 0.6817 | 61.7016 |
| 1.5945        | 3.16  | 30000 | 1.2218          | 42.7584 | 0.6816 | 61.8378 |
| 1.5638        | 3.43  | 32500 | 1.2088          | 42.9875 | 0.6844 | 62.0687 |
| 1.5557        | 3.69  | 35000 | 1.1983          | 43.3948 | 0.6862 | 62.2546 |
| 1.5469        | 3.95  | 37500 | 1.1864          | 43.5866 | 0.6877 | 62.5001 |
| 1.5151        | 4.22  | 40000 | 1.1826          | 43.5886 | 0.6888 | 62.501  |
| 1.5081        | 4.48  | 42500 | 1.1783          | 43.8291 | 0.6898 | 62.6281 |
| 1.5035        | 4.74  | 45000 | 1.1764          | 43.7796 | 0.6904 | 62.6856 |
| 1.4997        | 5.01  | 47500 | 1.1752          | 43.8886 | 0.6908 | 62.7218 |
| 1.4894        | 5.27  | 50000 | 1.1748          | 43.9515 | 0.6913 | 62.7752 |


### Framework versions

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