pglee/github-issue-classifier

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github-issue-classifier

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0684
• —Accuracy: 0.875
• —F1: 0.0455
• —Precision: 1.0
• —Recall: 0.0233

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: 256
• —evalbatchsize: 512
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0
• —Datasets 2.1.0
• —Tokenizers 0.12.1