Update README.md

README.md

@@ -9,36 +9,24 @@ tags:
 - medical
 ---
 
----
-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
-{{ card_data }}
----
-
-# Model Card for {{ model_id | default("Model ID", true) }}
+# Model Card for GaiaMiniMed
 
 This is a medical fine tuned model from the [Falcon-7b-Instruction](https://huggingface.co/tiiuae/falcon-7b-instruct) Base using 500 steps & 6 epochs with [MedAware](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) Dataset from [keivalya](https://huggingface.co/datasets/keivalya)
-{{ model_summary | default("", true) }}
+
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
-{{ model_description | default("", true) }}
-
-- **Developed by:** {{ developers | default("[[Tonic](https://www.huggingface.co/tonic)]", true)}}
-- **Shared by [optional]:** {{ shared_by | default("[[Tonic](https://www.huggingface.co/tonic)]", true)}}
-- **Model type:** {{ model_type | default("[Medical Fine-Tuned Conversational Falcon 7b (Instruct)]", true)}}
-- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}}
-- **License:** {{ license | default("[More Information Needed]", true)}}
-- **Finetuned from model [optional]:** {{ finetuned_from | default("[tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct)", true)}}
-
+- **Developed by:** [Tonic](https://www.huggingface.co/tonic)
+- **Shared by :** [Tonic](https://www.huggingface.co/tonic)
+- **Model type:** Medical Fine-Tuned Conversational Falcon 7b (Instruct)
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:**[tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct)
+- 
 ### Model Sources [optional]
 
-<!-- Provide the basic links for the model. -->
-
 - **Repository:** https://github.com/Josephrp/AI-challenge-hackathon/blob/master/falcon_7b_instruct_GaiaMiniMed_dataset.ipynb
 - **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}
 
@@ -54,7 +42,7 @@ This model should perform better at medical QnA tasks in a conversational manner
 
 It is our hope that it will help improve patient outcomes and public health.
 
-### Downstream Use [optional]
+### Downstream Use
 
 Use this model next to others and have group conversations to produce diagnoses , public health advisory , and personal hygene improvements.
 
@@ -78,7 +66,6 @@ Use the code below to get started with the model.
 
 ### Results
 
-{{ results | default("[
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62a3bb1cd0d8c2c2169f0b88/F8GfMSJcAaH7pXvpUK_r3.png)
 
@@ -87,31 +74,34 @@ Use the code below to get started with the model.
 TrainOutput(global_step=6150, training_loss=1.0597990553941183,
 {'epoch': 6.0})
 ```
-]", true)}}
 
 
 ### 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. -->
 
 {{ training_data | default(" 
 ```json 
+
 DatasetDict({
     train: Dataset({
         features: ['qtype', 'Question', 'Answer'],
         num_rows: 16407
     })
 })
+
 ```
-", true)}}
+
 
 ### Training Procedure 
 
 
 #### Preprocessing [optional]
 
-{{ preprocessing | default("[trainable params: 4718592 || all params: 3613463424 || trainables%: 0.13058363808693696]", true)}}
+```
+
+trainable params: 4718592 || all params: 3613463424 || trainables%: 0.13058363808693696
 
+```
 
 #### Training Hyperparameters
 
@@ -119,10 +109,11 @@ DatasetDict({
 
 #### Speeds, Sizes, Times [optional]
 
-```
+```json
 
 metrics={'train_runtime': 30766.4612, 'train_samples_per_second': 3.2, 'train_steps_per_second': 0.2,
 'total_flos': 1.1252790565109983e+18, 'train_loss': 1.0597990553941183,", true)}}
+
 ```
 
 ## Environmental Impact