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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-de-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-de-en-BDS-G1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-de-en-BDS-G1
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2837
- Bleu: 46.7626
- Gen Len: 8.7705
## 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: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log | 1.0 | 313 | 1.2837 | 46.6029 | 8.845 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0