Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
opus-mt-en-ro-finetuned-en-to-ro – AI Model by Chlorhexidine | AlphaNeural AI
You can deploy this model and start earning money today!
Chlorhexidine
/
opus-mt-en-ro-finetuned-en-to-ro
like
0
transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-ro
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
opus-mt-en-ro-finetuned-en-to-ro
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ro
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2671
Bleu: 28.2521
Gen Len: 34.0865
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: 48
eval_batch_size: 48
seed: 42
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
Bleu
Gen Len
0.7513
1.0
12715
1.2671
28.2521
34.0865
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
