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mbart-praias_es-pt – AI Model by feserrm | AlphaNeural AI
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mbart-praias_es-pt
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transformers
safetensors
marian
text2text-generation
simplification
generated_from_trainer
Helsinki-NLP/opus-mt-es-en
finetune
apache-2.0
endpoints_compatible
us
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mbart-praias_es-pt
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-es-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2683
Bleu: 6.9108
Gen Len: 375.4697
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
240
0.3664
10.2819
246.9123
No log
2.0
480
0.2683
6.9108
375.4697
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
