yanghuattt/microsoft_CodeGPT-small-java_0_ft_clm

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microsoftCodeGPT-small-java0ftclm

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

• —Loss: 1.1672
• —Accuracy: 0.7708

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: 8e-05
• —trainbatchsize: 4
• —evalbatchsize: 12
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 24
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.02
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.53.0
• —Pytorch 2.7.1+cu126
• —Datasets 3.6.0
• —Tokenizers 0.21.2