Upload fine-tuned model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,157 @@
+---
+language: en
+license: mit
+tags:
+- code
+- git
+- commit-message
+- qwen2
+- lora
+base_model: muellerzr/qwen-0.5-git-commit-message-generation
+datasets:
+- bigcode/commitpackft
+---
+
+# Git Commit Message Generator
+
+Fine-tuned [Qwen-0.5B](https://huggingface.co/muellerzr/qwen-0.5-git-commit-message-generation) model for generating professional Git commit messages.
+
+## Model Description
+
+This model was fine-tuned using LoRA (Low-Rank Adaptation) on the CommitPackFT dataset to generate concise, professional commit messages from git diffs.
+
+**Base Model**: `muellerzr/qwen-0.5-git-commit-message-generation`  
+**Fine-tuning Method**: LoRA (r=16, alpha=32)  
+**Training Data**: 55K filtered commits from CommitPackFT  
+**Languages**: Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more
+
+## Intended Use
+
+Generate commit messages for staged changes in a Git repository.
+
+### Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load model and tokenizer
+model_name = "rajtiwariee/auto-commit"
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
+
+# Prepare your diff
+diff = """
+Diff:
+File: src/auth.py
+Language: Python
+
+Old content:
+def login(username, password):
+    user = get_user(username)
+    if user.password == password:
+        return True
+    return False
+
+New content:
+def login(username, password):
+    user = get_user(username)
+    if user and user.password == password:
+        return True
+    return False
+"""
+
+# Generate commit message
+prompt = f"Write a git commit message:\n\n{diff}\n\nCommit message:\n"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+with torch.no_grad():
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=100,
+        temperature=0.7,
+        do_sample=True,
+        top_p=0.9,
+    )
+
+message = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(message.split("Commit message:")[-1].strip())
+# Output: "Fix null check in login function"
+```
+
+### CLI Tool
+
+For easier usage, install the companion CLI tool:
+
+```bash
+pip install commit-gen
+commit-gen generate --commit
+```
+
+See the [GitHub repository](https://github.com/YOUR_USERNAME/GitCommitGenerator) for more details.
+
+## Training Details
+
+### Training Data
+
+- **Dataset**: CommitPackFT (filtered subset)
+- **Training samples**: 55,730
+- **Validation samples**: 6,966
+- **Test samples**: 6,967
+
+### Training Procedure
+
+- **Epochs**: 3
+- **Batch Size**: 4 (effective batch size: 32 with gradient accumulation)
+- **Learning Rate**: 5e-5
+- **Optimizer**: AdamW
+- **LoRA Config**:
+  - r: 16
+  - alpha: 32
+  - dropout: 0.05
+  - target_modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
+
+### Hardware
+
+- **GPU**: NVIDIA Tesla T4 (16GB)
+- **Precision**: Mixed Precision (FP32 weights + FP16 compute)
+- **Training Time**: ~7.5 hours
+
+## Evaluation Results
+
+- **BLEU Score**: 0.0244
+- **ROUGE-1**: 0.1968
+- **ROUGE-2**: 0.0420
+- **ROUGE-L**: 0.1816
+- **Exact Match Rate**: 0.00%
+
+
+## Limitations
+
+- The model is trained primarily on English commit messages
+- Best suited for code changes in common programming languages
+- May not handle very large diffs well (>384 tokens)
+- Generated messages should be reviewed before committing
+
+## Ethical Considerations
+
+This model is intended to assist developers in writing commit messages, not replace human judgment. Users should:
+- Review generated messages for accuracy
+- Ensure messages accurately describe the changes
+- Follow their team's commit message conventions
+
+## Citation
+
+```bibtex
+@misc{git-commit-generator,
+  author = {Your Name},
+  title = {Git Commit Message Generator},
+  year = {2024},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/rajtiwariee/auto-commit}},
+}
+```
+
+## License
+
+MIT License

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "muellerzr/qwen-0.5-git-commit-message-generation",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7e2d339edd031b31ce3a861c68c71fbd8144f7a10fa4ab0a6215c4e7c422f0d
+size 35237104

added_tokens.json

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+{
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+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:04c5a433a454dcf945e826dea381181827c01c6a9f99c5d1eb969b77c364d6da
+size 11422174

tokenizer_config.json

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+{
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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+    },
+    "151663": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "max_length": 4096,
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "stride": 0,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": null
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:342bb4c891df80d853948a160040d5a0e5413536c3b8febed7ed70ed54ad6d82
+size 5777