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marian-finetuned-mcwc-es-to-ar – AI Model by ezzini | AlphaNeural AI
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ezzini
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marian-finetuned-mcwc-es-to-ar
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
Helsinki-NLP/opus-mt-es-ar
finetune
apache-2.0
endpoints_compatible
us
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ezzini/marian-finetuned-mcwc-es-to-ar
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-es-ar
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.7463
Validation Loss: 1.9950
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': 2049, '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
2.2782
2.0503
0
1.9158
2.0047
1
1.7463
1.9950
2
Framework versions
Transformers 4.33.3
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
