update model card README.md

README.md

@@ -4,28 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
-metrics:
-- accuracy
-- f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      config: plain_text
-      split: train
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8633333333333333
-    - name: F1
-      type: f1
-      value: 0.8646864686468646
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuning-sentiment-model-3000-samples
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3134
-- Accuracy: 0.8633
-- F1: 0.8647
 
 ## Model description