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finetuned-ja-to-en – AI Model by sahitreddy | AlphaNeural AI
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finetuned-ja-to-en
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
Helsinki-NLP/opus-mt-ja-en
finetune
apache-2.0
endpoints_compatible
us
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sahitreddy/finetuned-ja-to-en
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-ja-en
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9811
Validation Loss: 1.1695
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 11091, '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: float32
Training results
Train Loss
Validation Loss
Epoch
1.6066
1.2722
0
1.1832
1.1953
1
0.9811
1.1695
2
Framework versions
Transformers 4.46.3
TensorFlow 2.17.1
Datasets 3.2.0
Tokenizers 0.20.3
