Update README.md

README.md

@@ -14,9 +14,7 @@ library_name: transformers
 ---
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+Medical reasoning llm
 
 ## Model Details
 
@@ -26,59 +24,33 @@ This modelcard aims to be a base template for new models. It has been generated
 
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## 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. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
+- **Developed by:** [Melody Zhao](https://github.com/Melody-coder923)
+- **Model type:** LLM
+- **Language(s) (NLP):** English
+- **License:**  Mit
+- **Finetuned from model [optional]:** unsloth/DeepSeek-R1-Distill-Llama-8B
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
 
-### Recommendations
+## How to Get Started with the Model
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+```
+question = """A patient with acute appendicitis has been
+ill for 5 days, with slightly relieved abdominal pain
+but still feverish.
+A tender mass was found in the lower right abdomen
+during a physical examination. How should this be handled at this point?
+"""
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+FastLanguageModel.for_inference(model)  # Unsloth has 2x faster inference!
+inputs = tokenizer([prompt_style.format(question, "")],
+                   return_tensors="pt").to("cuda")
 
-## How to Get Started with the Model
+from transformers import TextStreamer
 
-Use the code below to get started with the model.
+text_streamer = TextStreamer(tokenizer)
+_ = model.generate(**inputs, streamer=text_streamer, max_new_tokens=2048)
+```python
 
 [More Information Needed]
 
@@ -86,123 +58,61 @@ Use the code below to get started with the model.
 
 ### 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. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+[FreedomIntelligence/medical-o1-reasoning-SFT](https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT)
 
 #### Preprocessing [optional]
 
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
+```
+train_prompt_style = """Below is an instruction that describes a task, paired with an input that provides further context.
+Write a response that appropriately completes the request.
+Before answering, think carefully about the question and create a step-by-step chain of thoughts to ensure a logical and accurate response.
 
-<!-- This section describes the evaluation protocols and provides the results. -->
+### Instruction:
+You are a medical expert with advanced knowledge in clinical reasoning, diagnostics, and treatment planning.
+Please answer the following medical question.
 
-### Testing Data, Factors & Metrics
+### Question:
+{}
 
-#### Testing Data
+### Response:
+<think>
+{}
+</think>
+{}"""
 
-<!-- This should link to a Dataset Card if possible. -->
+```python
 
-[More Information Needed]
 
-#### Factors
 
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+#### Training Hyperparameters
 
+- **Training regime:**
+    - fp16
+    - optim="adamw_8bit",
+    - weight_decay=0.01,
+    - lr_scheduler_type="linear",
+    - per_device_train_batch_size=2,
+    - gradient_accumulation_steps=4, 
+    - warmup_steps=5,
+    - max_steps=60,
+    - learning_rate=1e-4,
+        
 [More Information Needed]
 
-#### Metrics
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
 
-### Results
-
-[More Information Needed]
 
 #### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## 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:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
+This is fine tuned model on Medical dataset with Deepseek llama 3-8b distill
 
 #### Hardware
 
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
+nvidia L4
 
 ## Model Card Authors [optional]
 
-[More Information Needed]
+Melody Zhao
 
 ## Model Card Contact
 
-[More Information Needed]
+[Github](https://github.com/Melody-coder923)