update model card README.md

README.md

@@ -12,17 +12,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # CTEBMSP_bsc_test
 
-This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset.
+This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1283
-- Diso Precision: 0.7592
-- Diso Recall: 0.7889
-- Diso F1: 0.7738
-- Diso Number: 1407
-- Overall Precision: 0.7592
-- Overall Recall: 0.7889
-- Overall F1: 0.7738
-- Overall Accuracy: 0.9744
+- Loss: 0.0557
+- Diso Precision: 0.8917
+- Diso Recall: 0.8968
+- Diso F1: 0.8943
+- Diso Number: 2645
+- Overall Precision: 0.8917
+- Overall Recall: 0.8968
+- Overall F1: 0.8943
+- Overall Accuracy: 0.9898
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 0.1383        | 1.0   | 997  | 0.0983          | 0.7184         | 0.6780      | 0.6976  | 1407        | 0.7184            | 0.6780         | 0.6976     | 0.9679           |
-| 0.0538        | 2.0   | 1994 | 0.0970          | 0.7231         | 0.7498      | 0.7362  | 1407        | 0.7231            | 0.7498         | 0.7362     | 0.9714           |
-| 0.0273        | 3.0   | 2991 | 0.1060          | 0.7456         | 0.7896      | 0.7670  | 1407        | 0.7456            | 0.7896         | 0.7670     | 0.9742           |
-| 0.0121        | 4.0   | 3988 | 0.1283          | 0.7592         | 0.7889      | 0.7738  | 1407        | 0.7592            | 0.7889         | 0.7738     | 0.9744           |
+| 0.0382        | 1.0   | 1570 | 0.0421          | 0.8610         | 0.8922      | 0.8763  | 2645        | 0.8610            | 0.8922         | 0.8763     | 0.9880           |
+| 0.016         | 2.0   | 3140 | 0.0407          | 0.8767         | 0.9009      | 0.8887  | 2645        | 0.8767            | 0.9009         | 0.8887     | 0.9896           |
+| 0.0066        | 3.0   | 4710 | 0.0485          | 0.8962         | 0.8941      | 0.8952  | 2645        | 0.8962            | 0.8941         | 0.8952     | 0.9900           |
+| 0.0023        | 4.0   | 6280 | 0.0557          | 0.8917         | 0.8968      | 0.8943  | 2645        | 0.8917            | 0.8968         | 0.8943     | 0.9898           |
 
 
 ### Framework versions