nhonhoccode/qwen3-0-6b-cybersecqa-sft-freeze2-20251125-0445

qwen3-0-6b — Cybersecurity QA (SFT)

Fine-tuned on Kaggle using SFT.

Model Summary

• —Base: unsloth/Qwen3-0.6B
• —Trainable params: 187,044,352 / total 596,049,920
• —Train wall time (s): 33795.2
• —Files: pytorch_model.safetensors + config.json + tokenizer files

Data

• —Dataset: zobayer0x01/cybersecurity-qa
• —Samples: total=42427, train=38184, val=1500
• —Prompting: Chat template with a fixed system prompt:

You are a helpful assistant specialized in cybersecurity Q&A.

Training Config

Evaluation (greedy, fixed-length decode)

Notes: We normalize whitespace/punctuations, compute token-level P/R/F1, and use evaluate's sacrebleu/rouge/chrf/bertscore.

How to use

from transformers import AutoTokenizer, AutoModelForCausalLM
tok = AutoTokenizer.from_pretrained("nhonhoccode/qwen3-0-6b-cybersecqa-sft-freeze2-20251125-0445")
mdl = AutoModelForCausalLM.from_pretrained("nhonhoccode/qwen3-0-6b-cybersecqa-sft-freeze2-20251125-0445")
prompt = tok.apply_chat_template(
    [{"role":"system","content":"You are a helpful assistant specialized in cybersecurity Q&A."},
     {"role":"user","content":"Explain SQL injection in one paragraph."}],
    tokenize=False, add_generation_prompt=True
)
ids = tok(prompt, return_tensors="pt").input_ids
out = mdl.generate(ids, max_new_tokens=128, do_sample=False)
print(tok.decode(out[0][ids.shape[-1]:], skip_special_tokens=True))

Intended Use & Limitations

• —Domain: cybersecurity Q&A; not guaranteed to be accurate for legal/medical purposes.
• —The model can hallucinate or produce outdated guidance—verify before applying in production.
• —Safety: No explicit content filtering. Add guardrails (moderation, retrieval augmentation) for deployment.

Reproducibility (env)

• —transformers>=4.43,<5, accelerate>=0.33,<0.34, peft>=0.11,<0.13, datasets>=2.18,<3, evaluate>=0.4,<0.5, rouge-score, sacrebleu, huggingface_hub>=0.23,<0.26, bitsandbytes
• —GPU: T4-class; LoRA recommended for low VRAM.

Changelog

• —2025-11-25 04:46 — Initial release (SFT)