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code_smell_model – AI Model by PoulaLabib | AlphaNeural AI
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code_smell_model
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transformers
safetensors
roberta
text-classification
generated_from_trainer
huggingface/CodeBERTa-small-v1
finetune
endpoints_compatible
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code_smell_model
This model is a fine-tuned version of
huggingface/CodeBERTa-small-v1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1805
Accuracy: 0.9542
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1297
1.0
552
0.1765
0.9533
0.1006
2.0
1104
0.1805
0.9542
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
