update model card README.md

README.md

@@ -19,10 +19,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9886363636363636
+      value: 0.9924242424242424
     - name: F1
       type: f1
-      value: 0.9886363636363636
+      value: 0.9924242424242424
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ahmedrachid/FinancialBERT](https://huggingface.co/ahmedrachid/FinancialBERT) on the financial_phrasebank dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0493
-- Accuracy: 0.9886
-- F1: 0.9886
+- Loss: 0.0395
+- Accuracy: 0.9924
+- F1: 0.9924
 
 ## Model description
 
@@ -54,12 +54,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results