metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-de-en
tags:
  - generated_from_keras_callback
model-index:
  - name: mark-hug/helsinki-opus-de-en-fine-tuned-wmt16
    results: []

mark-hug/helsinki-opus-de-en-fine-tuned-wmt16

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.7560
Validation Loss: 1.0008
Epoch: 4

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 2495, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
1.4221	1.2424	0
1.1253	1.1326	1
0.9449	1.0597	2
0.8257	1.0149	3
0.7560	1.0008	4

Framework versions

Transformers 4.42.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1