update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: bert-cvs-estimation-years-experience
   results: []
@@ -14,8 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jhonparra18/bert-base-cased-cv-studio_name-medium](https://huggingface.co/jhonparra18/bert-base-cased-cv-studio_name-medium) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 10.7856
-- Rmse: 3.2841
+- Loss: 9.4494
+- Mse: 9.4494
+- Mae: 2.0686
+- R2: 0.4131
+- Accuracy: 0.2586
 
 ## Model description
 
@@ -45,12 +50,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rmse   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 10.34 | 300  | 11.7566         | 3.4288 |
-| 3.7071        | 20.69 | 600  | 12.8262         | 3.5814 |
-| 3.7071        | 31.03 | 900  | 11.1449         | 3.3384 |
-| 0.1675        | 41.38 | 1200 | 10.7856         | 3.2841 |
+| Training Loss | Epoch | Step | Validation Loss | Mse     | Mae    | R2     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:--------:|
+| No log        | 10.34 | 300  | 10.5131         | 10.5131 | 2.2140 | 0.3470 | 0.2759   |
+| 3.3802        | 20.69 | 600  | 9.1915          | 9.1915  | 2.0780 | 0.4291 | 0.2759   |
+| 3.3802        | 31.03 | 900  | 8.8261          | 8.8261  | 1.9359 | 0.4518 | 0.2931   |
+| 0.1613        | 41.38 | 1200 | 9.4494          | 9.4494  | 2.0686 | 0.4131 | 0.2586   |
 
 
 ### Framework versions