update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - ag_news
+metrics:
+- accuracy
 model-index:
 - name: sentiment-model-sample
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: ag_news
+      type: ag_news
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9473684210526315
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +28,9 @@ should probably proofread and complete it, then remove this comment. -->
 # sentiment-model-sample
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ag_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4887
+- Accuracy: 0.9474
 
 ## Model description
 
@@ -39,7 +55,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results