language: en
tags:
- snomed-ct
- text-generation
---

# My Model Name

## Model description
This is a text generation model for SNOMED-CT. As it is text-generation, it is prone to hallucination and should not be used for any kind of production purpose but it was fun to build. It is based on Mixtral7b and was fine-tuned on a part of the SNOMED-CT corpus then tested against a gold-standard.

## How to use
Provide code snippets on how to use your model.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "{username}/{model_id}"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
```

Model Performance
Accuracy: {metrics["0"]}
Precision: {metrics["0"]}
Recall: {metrics["0"]}

ParameterName	SNOMEDCode	ExtractedSNOMEDNumbers	CorrectPrediction
*Heart rate	    364075005	3222222	                False

Limitations and bias
It is really low grade but I had fun building it so have pushed it up

Acknowledgments
Thanks to the Mixtral AI team for creating the base model for this one.