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mbart-traduccion – AI Model by pamunarr | AlphaNeural AI
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mbart-traduccion
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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-traduccion
This model is a fine-tuned version of
facebook/mbart-large-50
on
Iker/InstructTranslation-EN-ES-Raw
. It achieves the following results on the evaluation set:
Loss: 0.5543
Bleu: 64.2175
Gen Len: 82.8185
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
146
0.6936
62.2127
79.6096
No log
2.0
292
0.5543
64.2175
82.8185
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
