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---
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5.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. -->
# mt5.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: 1.4866
- Bleu: 39.6812
- Meteor: 0.6692
- Chrf++: 61.3473
## 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: 30000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf++ |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.1158 | 0.5398 | 3000 | 2.0732 | 30.5675 | 0.5924 | 53.893 |
| 2.3023 | 1.0795 | 6000 | 1.8272 | 34.4378 | 0.6271 | 57.2898 |
| 2.0519 | 1.6193 | 9000 | 1.6942 | 36.285 | 0.6425 | 58.7385 |
| 1.9164 | 2.1591 | 12000 | 1.6272 | 37.2462 | 0.6501 | 59.5268 |
| 1.8125 | 2.6988 | 15000 | 1.5733 | 38.0984 | 0.658 | 60.2315 |
| 1.745 | 3.2386 | 18000 | 1.5362 | 38.7569 | 0.6624 | 60.7258 |
| 1.6918 | 3.7783 | 21000 | 1.5089 | 39.1779 | 0.6656 | 60.9923 |
| 1.6465 | 4.3181 | 24000 | 1.4947 | 39.5129 | 0.6681 | 61.2241 |
| 1.6289 | 4.8579 | 27000 | 1.4876 | 39.6134 | 0.669 | 61.2987 |
| 1.6187 | 5.3976 | 30000 | 1.4866 | 39.6812 | 0.6692 | 61.3473 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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