Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
 library_name: peft
 base_model: KT-AI/midm-bitext-S-7B-inst-v1
+datasets:
+- nsmc
 ---
 
 # Model Card for Model ID
@@ -9,12 +11,28 @@ base_model: KT-AI/midm-bitext-S-7B-inst-v1
 
 
 
-## Model Details
-
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+<!-- 
+NSMC 데이터에 대해 KT-AI/midm-bitext-S-7B-inst-v1 미세튜닝
+
+목표
+
+- 영화 리뷰 텍스트를 프롬프트에 포함하여 모델에 입력하면 '긍정' 또는 '부정'이라고 예측 텍스트를 직접 생성
+
 
+요건
+
+- NSMC의 train 스플릿 앞쪽 2,000개 이상의 샘플을 학습에 사용테스트는 test 스플릿 앞쪽 1,000개의 샘플만 측정할 것
+
+-->
+
+## Training Details
+
+<!-- 
+Training data: nsmc 'train' data 중 상위 2000개의 샘플
+Evaluation data: nsmc 'test' data 중 상위 1000개의 샘플
+-->
 
 
 - **Developed by:** [More Information Needed]
@@ -73,11 +91,7 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-## 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. -->
 
 [More Information Needed]
 
@@ -90,10 +104,6 @@ Use the code below to get started with the model.
 [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. -->
@@ -217,4 +227,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.6.2
+- PEFT 0.6.2