update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8653846153846154
+      value: 0.8461538461538461
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the poem_sentiment dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5383
-- Accuracy: 0.8654
+- Loss: 0.7095
+- Accuracy: 0.8462
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 112  | 0.4891          | 0.8173   |
-| No log        | 2.0   | 224  | 0.4136          | 0.8942   |
-| No log        | 3.0   | 336  | 0.5383          | 0.8654   |
+| No log        | 1.0   | 112  | 0.4617          | 0.875    |
+| No log        | 2.0   | 224  | 0.5310          | 0.8654   |
+| No log        | 3.0   | 336  | 0.7095          | 0.8462   |
 
 
 ### Framework versions