update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/tapex-base-finetuned-wtq](https://huggingface.co/microsoft/tapex-base-finetuned-wtq) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2455
-- Exact Match: 0.6105
+- Loss: 0.3409
+- Exact Match: 0.6371
 
 ## Model description
 
@@ -46,13 +46,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Exact Match |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|
-| 0.2262        | 1.0   | 400  | 0.3036          | 0.5906      |
-| 0.0184        | 2.0   | 800  | 0.3119          | 0.6087      |
-| 0.0115        | 3.0   | 1200 | 0.3602          | 0.5863      |
-| 0.0083        | 4.0   | 1600 | 0.4115          | 0.5848      |
-| 0.0072        | 5.0   | 2000 | 0.4113          | 0.5776      |
-| 0.0059        | 6.0   | 2400 | 0.4454          | 0.5733      |
-| 0.0048        | 7.0   | 2800 | 0.4091          | 0.5769      |
+| 0.2238        | 1.0   | 400  | 0.3173          | 0.5495      |
+| 0.0189        | 2.0   | 800  | 0.3454          | 0.5769      |
+| 0.0117        | 3.0   | 1200 | 0.3820          | 0.5509      |
+| 0.0077        | 4.0   | 1600 | 0.3753          | 0.5769      |
+| 0.0063        | 5.0   | 2000 | 0.3912          | 0.5935      |
+| 0.0054        | 6.0   | 2400 | 0.3932          | 0.5906      |
+| 0.0052        | 7.0   | 2800 | 0.3967          | 0.5740      |
+| 0.0049        | 8.0   | 3200 | 0.3899          | 0.6101      |
+| 0.004         | 9.0   | 3600 | 0.4111          | 0.5978      |
+| 0.0045        | 10.0  | 4000 | 0.4381          | 0.5870      |
+| 0.0038        | 11.0  | 4400 | 0.5001          | 0.5617      |
+| 0.0036        | 12.0  | 4800 | 0.4930          | 0.5834      |
+| 0.0044        | 13.0  | 5200 | 0.4405          | 0.5639      |
 
 
 ### Framework versions