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codebert-bin – AI Model by taeuk1 | AlphaNeural AI
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codebert-bin
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
microsoft/codebert-base
finetune
autotrain_compatible
endpoints_compatible
us
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codebert-bin
This model is a fine-tuned version of
microsoft/codebert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0
Accuracy: 1.0
F1: 1.0
Roc Auc: 1.0
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
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.7.0+cu128
Datasets 4.0.0
Tokenizers 0.21.2
