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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: opus-mt-es-en-finetuned-en-to-es
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_books
type: opus_books
config: en-es
split: train
args: en-es
metrics:
- name: Bleu
type: bleu
value: 12.6368
---
<!-- 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. -->
# opus-mt-es-en-finetuned-en-to-es
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0963
- Bleu: 12.6368
- Gen Len: 45.2439
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.7993 | 1.0 | 2337 | 2.5049 | 9.0673 | 46.0969 |
| 2.434 | 2.0 | 4674 | 2.2687 | 10.9353 | 45.3797 |
| 2.2723 | 3.0 | 7011 | 2.1639 | 11.9589 | 45.3567 |
| 2.1979 | 4.0 | 9348 | 2.1117 | 12.4972 | 45.4107 |
| 2.1644 | 5.0 | 11685 | 2.0963 | 12.6368 | 45.2439 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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