Update README.md

README.md

@@ -1,12 +1,25 @@
 ---
 base_model: unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
 library_name: peft
+datasets:
+- 100suping/ko-bird-sql-schema
+- won75/text_to_sql_ko
+language:
+- ko
+pipeline_tag: text-generation
+tags:
+- SQL
+- lora
+- adapter
+- instruction-tuning
 ---
 
-# Model Card for Model ID
+# 100suping/Qwen2.5-Coder-34B-Instruct-kosql-adapter
 
 <!-- Provide a quick summary of what the model is/does. -->
+This Repo contains **LoRA (Low-Rank Adaptation) Adapter** for [unsloth/qwen2.5-coder-32b-instruct]
 
+This adapter was created through **instruction tuning**.
 
 
 ## Model Details
@@ -17,43 +30,31 @@ library_name: peft
 
 
 
-- **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]
+- **Base Model:** unsloth/Qwen2.5-Coder-32B-Instruct
+- **Task:** Instruction Following(Korean)
+- **Language:** English (or relevant language)
+- **Training Data:** 100suping/ko-bird-sql-schema, won75/text_to_sql_ko
+- **Model type:** Causal Language Models.
+- **Language(s) (NLP):** Multi-Language
 
-### 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
+## How to Get Started with the Model
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+To use this LoRA adapter, refer to the following code:
 
-### Direct Use
+### Prompt
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
+```
+```
 
-### Downstream Use [optional]
+### Inference
 
 <!-- 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
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
+```
+```
 
 ## Bias, Risks, and Limitations
 
@@ -67,11 +68,6 @@ library_name: peft
 
 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
 
 ## Training Details
 
@@ -85,10 +81,13 @@ Use the code below to get started with the model.
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
-#### Preprocessing [optional]
+```
+```
 
-[More Information Needed]
+#### Preprocessing [optional]
 
+```
+```
 
 #### Training Hyperparameters
 
@@ -100,74 +99,6 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[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]
-
-#### 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. -->