Update README.md

README.md

@@ -9,6 +9,9 @@ metrics:
 model-index:
 - name: distilbert-base-uncased-lora-text-classification
   results: []
+datasets:
+- stanfordnlp/imdb
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0335
-- Accuracy: {'accuracy': 0.889}
+- Loss: 0.898124
+- Accuracy: {'accuracy': 0.893}
 
 ## Model description
 
@@ -27,7 +30,7 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+使用 LoRA 微调 distilbert/distilbert-base-uncased，实现对电影的评论进行分类的功能
 
 ## Training and evaluation data