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distil-bert-uncased-finetuned-github-issues – AI Model by ivanlau | AlphaNeural AI
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ivanlau
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distil-bert-uncased-finetuned-github-issues
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transformers
pytorch
distilbert
text-classification
ticket-tagger
autotrain_compatible
endpoints_compatible
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Model Description
This model is a fine-tuned version of
distilbert-base-uncased
and fine-tuning it on the
github ticket tagger dataset
. It classifies issue into 3 common categories: Bug, Enhancement, Questions.
It achieves the following results on the evaluation set:
Accuracy: 0.7862
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3e-5
train_batch_size: 16
optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0
num_epochs: 5
Codes
https://github.com/IvanLauLinTiong/IntelliLabel
