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---
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|
|