Update README.md

README.md

@@ -1,3 +1,51 @@
 ---
 license: apache-2.0
+language:
+- ko
+metrics:
+- sklearn-accuracy_score
+datasets:
+- kor_3i4k
+pipeline_tag: text-classification
 ---
+
+# intent-classification-korean
+
+fine-tuned for 'klue/roberta-base'
+used data : 'kor_3i4k'
+
+## How to Get Started with the Model
+
+```python
+from transformers import TextClassificationPipeline
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_path = "gg4ever/intent-classifcation-korean"
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForSequenceClassification.from_pretrained(model_path)
+
+text_classifier = TextClassificationPipeline(
+    tokenizer=tokenizer, 
+    model=model.to('cpu'), 
+    return_all_scores=True
+)
+
+# predict
+text = "이름이 뭐에요?"
+
+preds_list = text_classifier(text)
+preds_list
+
+```
+
+### Training Hyperparameters
+
+|hyperparameters|values|
+|-----------------------------|-------|
+|predict_with_generate|True|
+|evaluation_strategy|"steps"|
+|per_device_train_batch_size|32|
+|per_device_eval_batch_size|32|
+|num_train_epochs|3|
+|learning_rate|4e-5|
+|warmup_steps|1000|