tchebonenko commited on
Commit
1d939da
1 Parent(s): f2c7664
Files changed (1) hide show
  1. README.md +6 -3
README.md CHANGED
@@ -1,11 +1,14 @@
1
- # The goal of the model
 
 
 
 
2
  Using a transcript of a patient visit with his/her general health care provider (GP) recommend where that patient should be referred to and extract the main keywords from the transcript.
3
  <br>
4
  For example, if a patient has allergy-related concerns, then GP needs to refer that patient to the allergy/immunology department or an immunology doctor available.
5
  <br><br>
6
  Extracted keywords are there to help the doctor in making the final decision of what to recommend to the patient.
7
- <br><br><br><br>
8
- The model is a BLOOMZ-based medical model created using peft, transformers, and bitsandbytes.
9
 
10
  ---
11
  **dataset for fine-tuning:**
 
1
+ # Fine-tuned BLOOMZ medical
2
+ The model is based on [BLOOMZ-3B](https://huggingface.co/bigscience/bloomz) a large language model trained by the BigScience team. <br>
3
+ The full paper is available [here](https://arxiv.org/abs/2211.01786).<br>
4
+ The model is a created using peft, transformers, and bitsandbytes.
5
+ #The goal of the model
6
  Using a transcript of a patient visit with his/her general health care provider (GP) recommend where that patient should be referred to and extract the main keywords from the transcript.
7
  <br>
8
  For example, if a patient has allergy-related concerns, then GP needs to refer that patient to the allergy/immunology department or an immunology doctor available.
9
  <br><br>
10
  Extracted keywords are there to help the doctor in making the final decision of what to recommend to the patient.
11
+ <br><br>
 
12
 
13
  ---
14
  **dataset for fine-tuning:**