Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
codebert-juliet-v2 – AI Model by taeuk1 | AlphaNeural AI
You can deploy this model and start earning money today!
taeuk1
/
codebert-juliet-v2
like
0
transformers
safetensors
roberta
text-classification
generated_from_trainer
microsoft/codebert-base
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
codebert-juliet-v2
This model is a fine-tuned version of
microsoft/codebert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0023
Accuracy: 0.9999
F1: 0.9998
Roc Auc: 1.0000
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: 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
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.55.1
Pytorch 2.7.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
