Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
opus-mt-finetuned-en-es – AI Model by rossanez | AlphaNeural AI
You can deploy this model and start earning money today!
rossanez
/
opus-mt-finetuned-en-es
like
0
transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
opus_books
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
opus-mt-finetuned-en-es
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-es
on the opus_books dataset. It achieves the following results on the evaluation set:
Loss: 1.9813
Bleu: 21.5636
Gen Len: 30.0992
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.09
1.0
4382
1.9813
21.5636
30.0992
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
