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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
- accuracy
model-index:
- name: mt5-base-translation-spa-pbb
results: []
datasets:
- Broomva/translation_pbb_spa
language:
- es
---
<!-- 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-base-translation-spa-pbb
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0646
- Bleu: 0.5194
- Gen Len: 5.3808
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 9.0597 | 1.0 | 304 | 7.8135 | 0.0148 | 4.6469 |
| 6.2294 | 2.0 | 608 | 4.9617 | 0.0 | 3.9209 |
| 4.8326 | 3.0 | 912 | 4.0494 | 0.0 | 4.3808 |
| 4.582 | 4.0 | 1216 | 3.7069 | 0.0 | 5.3979 |
| 5.4762 | 5.0 | 1520 | 3.5463 | 0.0 | 5.6759 |
| 4.3875 | 6.0 | 1824 | 3.4731 | 0.0 | 5.6258 |
| 4.2873 | 7.0 | 2128 | 3.3832 | 0.0 | 5.5455 |
| 4.1326 | 8.0 | 2432 | 3.3424 | 0.0 | 5.4756 |
| 3.5728 | 9.0 | 2736 | 3.2956 | 0.0 | 5.1792 |
| 3.1873 | 10.0 | 3040 | 3.2690 | 0.0 | 5.5903 |
| 2.9436 | 11.0 | 3344 | 3.2465 | 0.1237 | 5.7655 |
| 4.2955 | 12.0 | 3648 | 3.2054 | 0.1741 | 5.4466 |
| 3.8722 | 13.0 | 3952 | 3.1764 | 0.1887 | 5.2161 |
| 3.5391 | 14.0 | 4256 | 3.1688 | 0.0951 | 5.7312 |
| 3.8012 | 15.0 | 4560 | 3.1480 | 0.1948 | 5.2964 |
| 3.1148 | 16.0 | 4864 | 3.1401 | 0.2397 | 5.7589 |
| 3.2699 | 17.0 | 5168 | 3.1186 | 0.33 | 5.386 |
| 4.3355 | 18.0 | 5472 | 3.1092 | 0.4637 | 5.1383 |
| 3.5792 | 19.0 | 5776 | 3.0966 | 0.3286 | 5.4374 |
| 3.1429 | 20.0 | 6080 | 3.0923 | 0.418 | 5.2964 |
| 3.4155 | 21.0 | 6384 | 3.0900 | 0.3938 | 5.4848 |
| 3.4515 | 22.0 | 6688 | 3.0755 | 0.4062 | 5.4124 |
| 2.8244 | 23.0 | 6992 | 3.0717 | 0.4218 | 5.3663 |
| 2.9253 | 24.0 | 7296 | 3.0663 | 0.3633 | 5.5692 |
| 2.1757 | 25.0 | 7600 | 3.0640 | 0.4768 | 5.4282 |
| 2.9356 | 26.0 | 7904 | 3.0646 | 0.5194 | 5.3808 |
### Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0 |