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: 0.0768
-- Precision: 0.9783
-- Recall: 0.9739
-- F1: 0.9761
-- Accuracy: 0.9865
+- Loss: 0.1660
+- Precision: 0.9701
+- Recall: 0.9679
+- F1: 0.9690
+- Accuracy: 0.9863
 
 ## Model description
 
@@ -53,17 +53,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| 0.0091        | 1.0   | 5372  | 0.1034          | 0.9693    | 0.9649 | 0.9671 | 0.9858   |
+| 0.0052        | 2.0   | 10744 | 0.1362          | 0.9715    | 0.9679 | 0.9697 | 0.9868   |
+| 0.0064        | 3.0   | 16116 | 0.1415          | 0.9715    | 0.9657 | 0.9686 | 0.9844   |
+| 0.0026        | 4.0   | 21488 | 0.1629          | 0.9709    | 0.9701 | 0.9705 | 0.9870   |
+| 0.0034        | 5.0   | 26860 | 0.1345          | 0.9737    | 0.9687 | 0.9712 | 0.9851   |
+| 0.0019        | 6.0   | 32232 | 0.1297          | 0.9700    | 0.9649 | 0.9675 | 0.9841   |
+| 0.0031        | 7.0   | 37604 | 0.1543          | 0.9716    | 0.9701 | 0.9709 | 0.9868   |
+| 0.0021        | 8.0   | 42976 | 0.0605          | 0.9782    | 0.9716 | 0.9749 | 0.9903   |
+| 0.0023        | 9.0   | 48348 | 0.1506          | 0.9731    | 0.9701 | 0.9716 | 0.9877   |
+| 0.0021        | 10.0  | 53720 | 0.1714          | 0.9693    | 0.9672 | 0.9682 | 0.9860   |
+| 0.0015        | 11.0  | 59092 | 0.1660          | 0.9701    | 0.9679 | 0.9690 | 0.9863   |
 
 
 ### Framework versions