update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6105
-- Precision: 0.8197
-- Recall: 0.8607
-- F1: 0.8397
-- Accuracy: 0.8027
+- Loss: 0.5907
+- Precision: 0.5789
+- Recall: 0.9167
+- F1: 0.7097
+- Accuracy: 0.8091
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.6273        | 1.0   | 1747 | 0.5978          | 0.8024    | 0.8562 | 0.8284 | 0.7881   |
-| 0.5232        | 2.0   | 3494 | 0.5584          | 0.8014    | 0.8828 | 0.8401 | 0.8010   |
-| 0.4425        | 3.0   | 5241 | 0.5564          | 0.8120    | 0.8754 | 0.8425 | 0.8042   |
-| 0.3718        | 4.0   | 6988 | 0.5855          | 0.8127    | 0.8741 | 0.8423 | 0.8045   |
-| 0.332         | 5.0   | 8735 | 0.6105          | 0.8197    | 0.8607 | 0.8397 | 0.8027   |
+| 0.631         | 1.0   | 1747 | 0.5743          | 0.5789    | 0.9167 | 0.7097 | 0.7985   |
+| 0.5177        | 2.0   | 3494 | 0.5425          | 0.3810    | 0.8889 | 0.5333 | 0.8088   |
+| 0.4494        | 3.0   | 5241 | 0.5425          | 0.5652    | 0.9286 | 0.7027 | 0.8113   |
+| 0.3763        | 4.0   | 6988 | 0.5653          | 0.5882    | 0.9091 | 0.7143 | 0.8080   |
+| 0.335         | 5.0   | 8735 | 0.5907          | 0.5789    | 0.9167 | 0.7097 | 0.8091   |
 
 
 ### Framework versions
 
-- Transformers 4.15.0
+- Transformers 4.16.1
 - Pytorch 1.10.0+cu111
-- Datasets 1.18.0
-- Tokenizers 0.10.3
+- Datasets 1.18.2
+- Tokenizers 0.11.0