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--- |
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license: cc-by-nc-nd-4.0 |
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language: |
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- en |
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library_name: transformers |
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tags: |
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- reward model |
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- RLHF |
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- medical |
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--- |
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# JSL-MedMNX-7B-SFT |
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[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com) |
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JSL-MedMNX-7B-SFT is a 7 Billion parameter model developed by [John Snow Labs](https://www.johnsnowlabs.com/). |
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This model is SFT-finetuned on alpaca format 11k medical dataset over the base model [JSL-MedMNX-7B](https://huggingface.co/johnsnowlabs/JSL-MedMNX-7B). Checkout the perofrmance on [Open Medical LLM Leaderboard](https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard). |
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This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co/johnsnowlabs). If you need to license this model for commercial use, please contact us at [email protected]. |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "johnsnowlabs/JSL-MedMNX-7B-SFT" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
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## 🏆 Evaluation |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------------------------|-------|------|-----:|--------|-----:|---|-----:| |
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|stem |N/A |none | 0|acc_norm|0.5209|± |0.0068| |
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| | |none | 0|acc |0.5675|± |0.0058| |
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| - medmcqa |Yaml |none | 0|acc |0.5152|± |0.0077| |
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| | |none | 0|acc_norm|0.5152|± |0.0077| |
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| - medqa_4options |Yaml |none | 0|acc |0.5397|± |0.0140| |
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| | |none | 0|acc_norm|0.5397|± |0.0140| |
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| - anatomy (mmlu) | 0|none | 0|acc |0.6593|± |0.0409| |
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| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7245|± |0.0275| |
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| - college_biology (mmlu) | 0|none | 0|acc |0.7431|± |0.0365| |
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| - college_medicine (mmlu) | 0|none | 0|acc |0.6532|± |0.0363| |
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| - medical_genetics (mmlu) | 0|none | 0|acc |0.7300|± |0.0446| |
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| - professional_medicine (mmlu)| 0|none | 0|acc |0.7206|± |0.0273| |
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| - pubmedqa | 1|none | 0|acc |0.7720|± |0.0188| |
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|Groups|Version|Filter|n-shot| Metric |Value | |Stderr| |
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|------|-------|------|-----:|--------|-----:|---|-----:| |
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|stem |N/A |none | 0|acc_norm|0.5209|± |0.0068| |
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| | |none | 0|acc |0.5675|± |0.0058| |
