End of training

README.md

@@ -3,9 +3,28 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
+metrics:
+- accuracy
+- f1
 model-index:
 - name: distilbert-base-uncased
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: test
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8721311475409836
+    - name: F1
+      type: f1
+      value: 0.8721311475409836
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,6 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased
 
 This model was trained from scratch on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3253
+- Accuracy: 0.8721
+- F1: 0.8721
 
 ## Model description
 
@@ -46,7 +69,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.34.0
+- Transformers 4.34.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.14.1