update model card README.md

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6466942148760331
+      value: 0.753099173553719
     - name: F1
       type: f1
-      value: 0.5819132094844429
+      value: 0.6955188246097337
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 financial_phrasebank dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9340
-- Accuracy: 0.6467
-- F1: 0.5819
+- Loss: 1.4149
+- Accuracy: 0.7531
+- F1: 0.6955
 
 ## Model description
 
@@ -63,7 +63,7 @@ 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