README.md

---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: mariav/helsinki-opus-de-en-fine-tuned-wmt16
  results: []
datasets:
- wmt16
language:
- de
- en
metrics:
- bleu
pipeline_tag: translation
---

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# mariav/helsinki-opus-de-en-fine-tuned-wmt16

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 wmt16.
It achieves the following results on the evaluation set:
- Train Loss: 1.0077
- Validation Loss: 1.4381
- Epoch: 4

## Model description

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en with the dataset wmt16 for the pair of languages german-english.
A tutorial for this task is available in the files.

## Intended uses & limitations

Limitations: scholar use. 

## Training and evaluation data

Training done with keras from Transformers.
Evaluation with Bleu score.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1245, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.5115     | 1.4061          | 0     |
| 1.2931     | 1.4111          | 1     |
| 1.1590     | 1.4200          | 2     |
| 1.0644     | 1.4324          | 3     |
| 1.0077     | 1.4381          | 4     |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2