Create README.md

README.md

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+---
+license: bigscience-openrail-m
+pipeline_tag: text-generation
+tags:
+- code
+- automated program repair
+---
+# StarCoder-15B_for_NTR
+
+We fine-tuned [StarCoder-15B](https://huggingface.co/bigcode/starcoder) on [Transfer_dataset](https://drive.google.com/drive/folders/1Z-2xcLSmh643BfX_j0yQW2GmdPoru6j3?usp=drive_link) under the NMT workflow [[Jiang et al.](https://github.com/lin-tan/clm), [Huang et al.](https://github.com/LLMC-APR/STUDY)] for APR research.
+
+## Model Use
+
+To use this model, please make sure to install transformers, peft, bitsandbytes, and accelerate.
+
+```bash
+pip install transformers
+pip install peft
+pip install bitsandbytes
+pip install accelerate
+```
+
+Then, please run the following script to merge the adapter into the CodeLlama.
+
+```bash
+bash merge.sh
+```
+
+Finally, you can load the model to generate patches for buggy code.
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import LoraConfig, get_peft_model, prepare_model_for_int8_training
+import torch
+
+
+# load model and tokenizer
+
+tokenizer = AutoTokenizer.from_pretrained('bigcode/starcoderbase', use_auth_token=True)
+
+model = AutoModelForCausalLM.from_pretrained(
+        "StarCoder-15B_for_NMT/Epoch_1/-merged",
+        use_auth_token=True,
+        use_cache=True,
+        load_in_8bit=True,
+        device_map="auto"
+    )
+    
+model = prepare_model_for_int8_training(model)
+
+lora_config = LoraConfig(
+    r=16,
+    lora_alpha=32,
+    lora_dropout=0.05,
+    bias="none",
+    task_type="CAUSAL_LM",
+    target_modules = ["c_proj", "c_attn", "q_attn"]
+)
+
+model = get_peft_model(model, lora_config)
+
+
+# a bug-fix pairs
+
+buggy_code = "
+  public MultiplePiePlot(CategoryDataset dataset){
+    super();
+// bug_start
+    this.dataset=dataset;
+// bug_end
+    PiePlot piePlot=new PiePlot(null);
+    this.pieChart=new JFreeChart(piePlot);
+    this.pieChart.removeLegend();
+    this.dataExtractOrder=TableOrder.BY_COLUMN;
+    this.pieChart.setBackgroundPaint(null);
+    TextTitle seriesTitle=new TextTitle("Series Title",new Font("SansSerif",Font.BOLD,12));
+    seriesTitle.setPosition(RectangleEdge.BOTTOM);
+    this.pieChart.setTitle(seriesTitle);
+    this.aggregatedItemsKey="Other";
+    this.aggregatedItemsPaint=Color.lightGray;
+    this.sectionPaints=new HashMap();
+  }
+"
+
+fixed_code = "
+// fix_start
+     setDataset(dataset);
+// fix_end
+"
+
+# model inference
+
+input_text = '<commit_before>\n' + buggy_code + '\n<commit_after>\n'
+input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to(0)
+
+eos_id = tokenizer.convert_tokens_to_ids(tokenizer.eos_token)
+generated_ids = model.generate(
+    input_ids=input_ids,
+    max_new_tokens=256,
+    num_beams=10,
+    num_return_sequences=10,
+    early_stopping=True,
+    pad_token_id=eos_id,
+    eos_token_id=eos_id
+)
+
+for generated_id in generated_ids:
+    generated_text = tokenizer.decode(generated_id, skip_special_tokens=False)
+    patch = generated_text.split('\n<commit_after>\n')[1]
+    patch = patch.replace('<|endoftext|>','')
+    print(patch)
+
+
+```
+
+## Model Details
+The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement [here](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement).