README.md

---
language:
- en
license: mit
library_name: transformers
tags:
- medical
datasets:
- Mohammed-Altaf/medical-instruction-120k
model-index:
- name: Medical-ChatBot
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 30.55
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 38.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 25.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 41.25
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 55.41
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 0.99
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mohammed-Altaf/Medical-ChatBot
      name: Open LLM Leaderboard
---
Please note that the chatbot is designed for research purposes only and is not intended for use in real medical settings. While the chatbot has been trained to provide accurate and helpful responses, it is not a substitute for professional medical advice, diagnosis, or treatment. The information provided by the chatbot should not be used to make medical decisions, and any health concerns should be addressed by a licensed healthcare provider.

## Quickstart

```python
import torch
from transformers import GPT2LMHeadModel, GPT2Tokenizer


path = "Mohammed-Altaf/Medical-ChatBot"
device = "cuda" if torch.cuda.is_available() else "cpu"
tokenizer = GPT2Tokenizer.from_pretrained(path)
model = GPT2LMHeadModel.from_pretrained(path).to(device)

prompt_input = (
    "The conversation between human and AI assistant.\n"
    "[|Human|] {input}\n"
    "[|AI|]"
)
sentence = prompt_input.format_map({'input': "what is parkinson's disease?"})
inputs = tokenizer(sentence, return_tensors="pt").to(device)

with torch.no_grad():
    beam_output = model.generate(**inputs,
                                min_new_tokens=1, 
                                max_length=512,
                                num_beams=3,
                                repetition_penalty=1.2,
                                early_stopping=True,
                                eos_token_id=198 
                                )
    print(tokenizer.decode(beam_output[0], skip_special_tokens=True))
```

## Example Outputs
```
The conversation between human and AI assistant.
[|Human|] what is parkinson's disease?
[|AI|] Parkinson's disease is a neurodegenerative disorder that affects movement. It is caused by the loss of dopamine-producing cells in the brain.
```

```
The conversation between human and AI assistant.
[|Human|] what type of honey is best for a bad covid cough?
[|AI|] Manuka honey has been shown to have anti-inflammatory and antibacterial properties that can help alleviate symptoms of a bad covid cough.
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Mohammed-Altaf__Medical-ChatBot)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |32.13|
|AI2 Reasoning Challenge (25-Shot)|30.55|
|HellaSwag (10-Shot)              |38.63|
|MMLU (5-Shot)                    |25.98|
|TruthfulQA (0-shot)              |41.25|
|Winogrande (5-shot)              |55.41|
|GSM8k (5-shot)                   | 0.99|