deleted readme.md
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README.md
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---
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datasets:
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- ticket tagger
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metrics:
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- accuracy
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model-index:
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- name: distil-bert-uncased-finetuned-github-issues
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: ticket tagger
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type: ticket tagger
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args: full
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7862
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---
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# Model Description
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) and fine-tuning it on the
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[github ticket tagger dataset](https://tickettagger.blob.core.windows.net/datasets/dataset-labels-top3-30k-real.txt). It classifies issue into 3 common categories: Bug, Enhancement, Questions.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.7862
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-5
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- train_batch_size: 16
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- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0
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- num_epochs: 5
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### Codes
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https://github.com/IvanLauLinTiong/IntelliLabel
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