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mbart-large-50-many-to-many-mmt-finetuned-en-to-ko-4315365 – AI Model by alphahg | AlphaNeural AI
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mbart-large-50-many-to-many-mmt-finetuned-en-to-ko-4315365
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transformers
pytorch
mbart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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mbart-large-50-many-to-many-mmt-finetuned-en-to-ko-4315365
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8429
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8739
1.0
37504
0.8429
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
