abhi11nav/GraphCodebert-gpt2

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GraphCodebert-gpt2

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.6964
• —Rouge2 Precision: 0.1809
• —Rouge2 Recall: 0.1775
• —Rouge2 Fmeasure: 0.1747

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: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2000
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.13.1+cu116
• —Datasets 2.8.0
• —Tokenizers 0.13.2