Update README.md

README.md

@@ -8,4 +8,95 @@ library_name: transformers
 pipeline_tag: text-generation
 tags:
 - medical
----
+---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+Microsoft Phi2 Finetuned on Medical Text Data
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [JJ]
+- **Model type:** [SLM]
+- **Finetuned from model:** [microsoft/Phi-2]
+
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+Testing the effectivness of Finetuning SLMs 
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+Not Allowed as this is for research only
+
+
+
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+Model can still Halucinate.
+
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+MedText Dataset from HuggingFace
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+SFT using HF Transformers
+
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** A10 GPU VMs [2x24GB A10]
+- **Hours used:** [3]
+- **Cloud Provider:** [Azure]
+- **Compute Region:** [North Europe (Dublin)]
+
+## Technical Specifications [optional]
+
+
+### Compute Infrastructure
+
+[Azure]
+
+#### Hardware
+
+[NV72ads A10 GPU VMs]
+
+#### Software
+
+[Axolotl]
+
+## Model Card Authors [optional]
+
+[JJ]
+
+## Model Card Contact
+
+[JJ]
+
+