update model card README.md

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5196
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.7699
+- Loss: 0.5239
+- Precision: 0.0334
+- Recall: 0.0425
+- F1: 0.0374
+- Accuracy: 0.7798
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 61   | 0.5188          | 0.0       | 0.0    | 0.0 | 0.7599   |
-| No log        | 2.0   | 122  | 0.5214          | 0.0       | 0.0    | 0.0 | 0.7729   |
-| No log        | 3.0   | 183  | 0.5196          | 0.0       | 0.0    | 0.0 | 0.7699   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 61   | 0.5012          | 0.0392    | 0.0490 | 0.0435 | 0.7649   |
+| No log        | 2.0   | 122  | 0.4769          | 0.0265    | 0.0458 | 0.0336 | 0.7860   |
+| No log        | 3.0   | 183  | 0.5239          | 0.0334    | 0.0425 | 0.0374 | 0.7798   |
 
 
 ### Framework versions