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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0702
-- Precision: 0.9772
-- Recall: 0.9719
-- F1: 0.9745
-- Accuracy: 0.9871
+- Loss: 0.0768
+- Precision: 0.9783
+- Recall: 0.9739
+- F1: 0.9761
+- Accuracy: 0.9865
 
 ## Model description
 
@@ -53,17 +53,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0185        | 1.0   | 5308  | 0.0377          | 0.9827    | 0.9789 | 0.9808 | 0.9917   |
-| 0.0102        | 2.0   | 10616 | 0.0529          | 0.9773    | 0.9742 | 0.9757 | 0.9879   |
-| 0.0063        | 3.0   | 15924 | 0.0552          | 0.9789    | 0.9789 | 0.9789 | 0.9912   |
-| 0.0071        | 4.0   | 21232 | 0.0883          | 0.9764    | 0.9719 | 0.9741 | 0.9862   |
-| 0.0043        | 5.0   | 26540 | 0.0997          | 0.9818    | 0.9726 | 0.9772 | 0.9864   |
-| 0.004         | 6.0   | 31848 | 0.1042          | 0.9756    | 0.9695 | 0.9725 | 0.9853   |
-| 0.002         | 7.0   | 37156 | 0.0870          | 0.9765    | 0.9742 | 0.9753 | 0.9871   |
-| 0.004         | 8.0   | 42464 | 0.0667          | 0.9734    | 0.9726 | 0.9730 | 0.9875   |
-| 0.0018        | 9.0   | 47772 | 0.0807          | 0.9803    | 0.9750 | 0.9777 | 0.9873   |
-| 0.0013        | 10.0  | 53080 | 0.0719          | 0.9764    | 0.9711 | 0.9737 | 0.9864   |
-| 0.0021        | 11.0  | 58388 | 0.0702          | 0.9772    | 0.9719 | 0.9745 | 0.9871   |
+| 0.0109        | 1.0   | 5372  | 0.0469          | 0.9828    | 0.9799 | 0.9813 | 0.9901   |
+| 0.0068        | 2.0   | 10744 | 0.0598          | 0.9790    | 0.9761 | 0.9776 | 0.9885   |
+| 0.0032        | 3.0   | 16116 | 0.1658          | 0.9715    | 0.9679 | 0.9697 | 0.9839   |
+| 0.0048        | 4.0   | 21488 | 0.1680          | 0.9774    | 0.9679 | 0.9726 | 0.9835   |
+| 0.0055        | 5.0   | 26860 | 0.0526          | 0.9835    | 0.9806 | 0.9821 | 0.9911   |
+| 0.0034        | 6.0   | 32232 | 0.0569          | 0.9813    | 0.9776 | 0.9794 | 0.9906   |
+| 0.0024        | 7.0   | 37604 | 0.0671          | 0.9820    | 0.9784 | 0.9802 | 0.9906   |
+| 0.0021        | 8.0   | 42976 | 0.0606          | 0.9835    | 0.9776 | 0.9805 | 0.9908   |
+| 0.0022        | 9.0   | 48348 | 0.0658          | 0.9857    | 0.9806 | 0.9832 | 0.9911   |
+| 0.002         | 10.0  | 53720 | 0.1342          | 0.9767    | 0.9716 | 0.9742 | 0.9857   |
+| 0.0017        | 11.0  | 59092 | 0.0768          | 0.9783    | 0.9739 | 0.9761 | 0.9865   |
 
 
 ### Framework versions