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---
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: gendered
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
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: 1.1747
- Bleu: 43.5153
- Meteor: 0.6866
- Chrf++: 62.4637
## 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++ |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.5293 | 0.26 | 2500 | 2.0219 | 28.0137 | 0.5556 | 49.0872 |
| 2.4187 | 0.53 | 5000 | 1.7260 | 33.4178 | 0.6039 | 54.238 |
| 2.1694 | 0.79 | 7500 | 1.5868 | 35.7611 | 0.6256 | 56.142 |
| 2.0239 | 1.05 | 10000 | 1.4968 | 37.4453 | 0.6394 | 57.6176 |
| 1.9076 | 1.32 | 12500 | 1.4333 | 38.2643 | 0.6473 | 58.2946 |
| 1.8514 | 1.58 | 15000 | 1.3902 | 39.5846 | 0.6554 | 59.3566 |
| 1.7986 | 1.84 | 17500 | 1.3454 | 39.9905 | 0.6612 | 59.701 |
| 1.7351 | 2.11 | 20000 | 1.3096 | 40.8823 | 0.6664 | 60.3625 |
| 1.6834 | 2.37 | 22500 | 1.2872 | 41.4499 | 0.6711 | 60.837 |
| 1.6589 | 2.64 | 25000 | 1.2591 | 42.0603 | 0.6743 | 61.2625 |
| 1.6353 | 2.9 | 27500 | 1.2353 | 42.3878 | 0.6798 | 61.5963 |
| 1.5929 | 3.16 | 30000 | 1.2242 | 42.7944 | 0.6794 | 61.8097 |
| 1.5635 | 3.43 | 32500 | 1.2094 | 43.0109 | 0.6822 | 61.9923 |
| 1.5537 | 3.69 | 35000 | 1.2011 | 43.1533 | 0.6839 | 62.1374 |
| 1.5449 | 3.95 | 37500 | 1.1873 | 43.2691 | 0.6844 | 62.1844 |
| 1.5131 | 4.22 | 40000 | 1.1830 | 43.3538 | 0.6868 | 62.3435 |
| 1.5067 | 4.48 | 42500 | 1.1790 | 43.4627 | 0.6861 | 62.4529 |
| 1.502 | 4.74 | 45000 | 1.1761 | 43.4613 | 0.686 | 62.3993 |
| 1.4976 | 5.01 | 47500 | 1.1749 | 43.6051 | 0.6866 | 62.4784 |
| 1.4889 | 5.27 | 50000 | 1.1747 | 43.5153 | 0.6866 | 62.4637 |
### Framework versions
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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