---
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
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1917
- Validation Loss: 1.4099
- Epoch: 2

## Model description

This model is a fine-tuned version of the Helsinki-NLP/opus-mt-de-en with the dataset wmt16 with the pair of languages de-en. 

## Intended uses & limitations

Limitations: schoolar purposes. 

## Training and evaluation data

The training was done with tranformers keras with just a few epochs due to lack of more GPU. 
With more epochs the performance could be better. 

## 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': 747, '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 |
|:----------:|:---------------:|:-----:|
| 1.5114     | 1.4037          | 0     |
| 1.2991     | 1.4064          | 1     |
| 1.1917     | 1.4099          | 2     |


### Framework versions

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