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distil-bert-uncased-finetuned-github-issues
ivanlau/distil-bert-uncased-finetuned-github-issues
distil-bert-uncased-finetuned-github-issues is a text classification model from ivanlau. Use it when you need a label for a piece of text. It is set up for transformers.
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.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 4, 2022
- Updated
- Dec 15, 2022
- SHA
- d8297590
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Model card
From the Hugging Face model README
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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 4, 2022
- Updated
- Dec 15, 2022