taeuk1
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codebert-juliet-v2

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

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

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Safetensors

Model size

0.1B params

Tensor type

F32

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microsoft/codebert-base

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