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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hensinki-en-es-finetuned-english-to-spanish-tateoba
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. -->
# hensinki-en-es-finetuned-english-to-spanish-tateoba
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5236
- Bleu: 58.629
- Gen Len: 8.6642
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5416 | 1.0 | 7069 | 0.5150 | 58.2349 | 8.6272 |
| 0.457 | 2.0 | 14138 | 0.5116 | 58.5559 | 8.6372 |
| 0.4021 | 3.0 | 21207 | 0.5172 | 58.7017 | 8.6416 |
| 0.3477 | 4.0 | 28276 | 0.5202 | 58.6269 | 8.6579 |
| 0.3254 | 5.0 | 35345 | 0.5236 | 58.629 | 8.6642 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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