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mbart-translation-es-en – AI Model by anarodrdi | AlphaNeural AI
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mbart-translation-es-en
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transformers
safetensors
mbart
text2text-generation
translation
generated_from_trainer
facebook/mbart-large-cc25
finetune
endpoints_compatible
us
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mbart-translation-es-en
This model is a fine-tuned version of
facebook/mbart-large-cc25
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3163
Bleu: 10.3319
Gen Len: 39.004
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
282
2.2880
9.6536
35.612
9.6336
2.0
564
2.2393
11.2544
30.958
9.6336
3.0
846
2.3163
10.3319
39.004
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
