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mbart-ddhh-es-en – AI Model by Carmendlr | AlphaNeural AI
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mbart-ddhh-es-en
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transformers
safetensors
mbart
text2text-generation
translation
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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mbart-ddhh-es-en
This model is a fine-tuned version of
facebook/mbart-large-50
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: 5.6e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cpu
Datasets 4.6.1
Tokenizers 0.22.2