Athipan01/codebert-model

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codebert-model

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

• —eval_loss: 0.8346
• —evalmodelpreparation_time: 0.0057
• —eval_accuracy: {'accuracy': 0.21967491508976225}
• —eval_f1: {'f1': 0.0}
• —eval_runtime: 9384.6382
• —evalsamplesper_second: 0.878
• —evalstepsper_second: 0.11
• —step: 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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —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: 3

Framework versions

• —PEFT 0.15.2
• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1