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joao-finetuned-kde4-en-to-pt – AI Model by Jmigliatti | AlphaNeural AI
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Jmigliatti
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joao-finetuned-kde4-en-to-pt
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transformers
tensorboard
safetensors
marian
text2text-generation
translation
generated_from_trainer
Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
finetune
apache-2.0
endpoints_compatible
us
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joao-finetuned-kde4-en-to-pt
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1366
Model Preparation Time: 0.0031
Bleu: 36.2092
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: 2e-05
train_batch_size: 32
eval_batch_size: 64
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
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
