46 lines
1.1 KiB
Markdown
46 lines
1.1 KiB
Markdown
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-3B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- qwen2
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- test-generation
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- reinforcement-learning
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- grpo
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- opd
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- java
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- defects4j
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---
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# Qwen2.5-3B + OPD + GRPO (1 epoch)
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This is an RL4TG checkpoint for Java unit-test generation.
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| Field | Value |
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|---|---|
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| Base model | `Qwen/Qwen2.5-3B-Instruct` |
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| Method | OPD initialization followed by GRPO |
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| Teacher | `Qwen/Qwen2.5-Coder-7B-Instruct during OPD` |
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| Released checkpoint | GRPO step 50 (1 epoch) |
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| Training data | OPD split followed by 1,582 mutation-eligible Defects4J samples |
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| Prompt format | Qwen2.5 chat template |
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| Global training seed | 42 |
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "tomhu/RL4TG-Qwen2.5-3B-OPD-GRPO-1-Epoch"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype="auto",
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device_map="auto",
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)
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```
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The model is intended for research on Java unit-test generation. Generated tests
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must still be compiled and executed in the target project's own build environment.
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