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: 0.6845
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.5673
+- Loss: 0.0244
+- Precision: 0.7368
+- Recall: 0.4
+- F1: 0.5185
+- Accuracy: 0.9919
 
 ## Model description
 
@@ -48,15 +48,16 @@ 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: 3
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 14   | 0.7281          | 0.0       | 0.0    | 0.0 | 0.5279   |
-| No log        | 2.0   | 28   | 0.6855          | 0.0       | 0.0    | 0.0 | 0.5574   |
-| No log        | 3.0   | 42   | 0.6845          | 0.0       | 0.0    | 0.0 | 0.5673   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 14   | 0.0598          | 0.0       | 0.0    | 0.0    | 0.9870   |
+| No log        | 2.0   | 28   | 0.0357          | 0.0       | 0.0    | 0.0    | 0.9894   |
+| No log        | 3.0   | 42   | 0.0256          | 0.75      | 0.2571 | 0.3830 | 0.9910   |
+| No log        | 4.0   | 56   | 0.0244          | 0.7368    | 0.4    | 0.5185 | 0.9919   |
 
 
 ### Framework versions