Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mbart-large-50-finetuned-opus-en-pt-translation-finetuned-en-to-pt-dataset-opus-books – AI Model by VanessaSchenkel | AlphaNeural AI
You can deploy this model and start earning money today!
VanessaSchenkel
/
mbart-large-50-finetuned-opus-en-pt-translation-finetuned-en-to-pt-dataset-opus-books
like
0
transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
opus_books
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mbart-large-50-finetuned-opus-en-pt-translation-finetuned-en-to-pt-dataset-opus-books
This model is a fine-tuned version of
Narrativa/mbart-large-50-finetuned-opus-en-pt-translation
on the opus_books dataset.
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
79
1.5854
31.2219
26.9149
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
