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mbart_finetuned_dialect_translation_4 – AI Model by thisisHJLee | AlphaNeural AI
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mbart_finetuned_dialect_translation_4
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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mbart_finetuned_dialect_translation_4
This model is a fine-tuned version of
facebook/mbart-large-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0133
Bleu: 99.3104
Gen Len: 13.927
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.0974
1.0
1250
0.0568
97.9989
13.9344
0.0393
2.0
2500
0.0253
98.7299
13.9272
0.0245
3.0
3750
0.0133
99.3104
13.927
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
