buelfhood/conplag1_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppy_loss

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conplag1graphcodebertep30bs16lr2e-05l512s42ppyloss

This model is a fine-tuned version of microsoft/graphcodebert-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4769
• —Accuracy: 0.8321
• —Recall: 0.6316
• —Precision: 0.7273
• —F1: 0.6761
• —F Beta Score: 0.6582

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 30

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.8.0+cu128
• —Datasets 3.1.0
• —Tokenizers 0.21.4