Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
opus-mt-es-en-GEC-spanish-LORA-synthetic – AI Model by Ro551 | AlphaNeural AI
You can deploy this model and start earning money today!
Ro551
/
opus-mt-es-en-GEC-spanish-LORA-synthetic
like
0
peft
safetensors
adapter
lora
transformers
Helsinki-NLP/opus-mt-es-en
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
opus-mt-es-en-GEC-spanish-LORA-synthetic
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-es-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0495
Gleu: 0.8812
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: 0.0013223040248761528
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.09857017609527079
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
0.2388
1.0
10826
0.0750
0.8369
0.1493
2.0
21652
0.0495
0.8812
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.7.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
