alexjercan/codebert-base-buggy-token-classification

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codebert-base-buggy-token-classification

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: 0.5217
• —Precision: 0.6942
• —Recall: 0.0940
• —F1: 0.1656
• —Accuracy: 0.7714

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: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.16.2
• —Pytorch 1.9.1
• —Datasets 1.18.4
• —Tokenizers 0.11.6