Create README.md

README.md

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+---
+datasets:
+- ticket tagger
+metrics:
+- accuracy
+model-index:
+- name: distil-bert-uncased-finetuned-github-issues
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: ticket tagger
+      type: ticket tagger
+      args: full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7862
+---
+# Model Description
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) and fine-tuning it on the
+[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.
+
+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