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traductor-en-es – AI Model by loresiensis | AlphaNeural AI
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loresiensis
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traductor-en-es
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
cc-by-4.0
endpoints_compatible
us
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leorena/traductor-en-es
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-tc-big-en-es
on a KDE4 dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5016
Validation Loss: 1.1220
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': 738, '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
1.2436
1.1141
0
0.7232
1.1065
1
0.5016
1.1220
2
Framework versions
Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2
