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en-to-de_finetuned – AI Model by EinsZwo | AlphaNeural AI
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EinsZwo
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en-to-de_finetuned
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
cc-by-4.0
endpoints_compatible
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EinsZwo/en-to-de_finetuned
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-de
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.1139
Validation Loss: 1.2791
Epoch: 2
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 17388, '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
1.4096
1.3042
0
1.2225
1.2822
1
1.1139
1.2791
2
Framework versions
Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
