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es2zh-mbart – AI Model by vncgabriel | AlphaNeural AI
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es2zh-mbart
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transformers
safetensors
marian
text2text-generation
es2zh
mt5
generated_from_trainer
Helsinki-NLP/opus-tatoeba-es-zh
finetune
apache-2.0
endpoints_compatible
us
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es2zh-mbart
This model is a fine-tuned version of
Helsinki-NLP/opus-tatoeba-es-zh
on an unknown dataset.
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:
learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
