Update README.md

README.md

@@ -14,7 +14,6 @@ widget:
 - text: "Pacientes sanos, sin ninguna enfermedad, que no tomen ningún medicamento"
 - text: "Sujetos adultos con cáncer de próstata asintomáticos y no tratados previamente"
 - text: "Probable infección por SARS-CoV-2 y sospecha de enfermedad autoinmune" 
-
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +28,11 @@ This named entity recognition model detects negation and speculation entities, a
 - Speculated: speculated entity or event (e.g. *posiblemente **sobreviva***)
 
 The model achieves the following results on the test set (when trained with the training and development set; results are averaged over 5 evaluation rounds):
-- Precision: 0.840 (±0.003)
-- Recall: 0.866 (±0.005)
-- F1: 0.853 (±0.004)
-- Accuracy: 0.985 (±0.001)
+- Precision: 0.855 (±0.005)
+- Recall: 0.864 (±0.008)
+- F1: 0.859 (±0.006)
+- Accuracy: 0.986 (±0.001)
+
 
 ## Model description
 
@@ -99,24 +99,24 @@ The following hyperparameters were used during training:
 - seed: we used different seeds for 5 evaluation rounds, and uploaded the model with the best results
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: average 10.5 epochs (±1.9); trained with early stopping if no improvement after 5 epochs (early stopping patience: 5)
+- num_epochs: average 10.8 epochs (±1.9); trained with early stopping if no improvement after 5 epochs (early stopping patience: 5)
 
 
 ### Training results (test set; average and standard deviation of 5 rounds with different seeds)
 
 |   Precision    |     Recall     |       F1       |    Accuracy    |
 |:--------------:|:--------------:|:--------------:|:--------------:|
-| 0.840 (±0.003) | 0.866 (±0.005) | 0.853 (±0.004) | 0.985 (±0.001) |
+| 0.855 (±0.005) | 0.864 (±0.008) | 0.859 (±0.006) | 0.986 (±0.001) |
 
 
 **Results per class (test set; average and standard deviation of 5 rounds with different seeds)**  
 
 | Class       |   Precision    |     Recall     |       F1       |  Support  |
 |:-----------:|:--------------:|:--------------:|:--------------:|:---------:|
-| Neg_cue     | 0.938 (±0.004) | 0.963 (±0.003) | 0.950 (±0.002) |    2436   |
-| Negated     | 0.799 (±0.018) | 0.843 (±0.008) | 0.820 (±0.010) |    3086   |
-| Spec_cue    | 0.821 (±0.021) | 0.852 (±0.015) | 0.836 (±0.008) |     749   |
-| Speculated  | 0.710 (±0.002) | 0.721 (±0.010) | 0.715 (±0.005) |     996   |
+| Neg_cue     | 0.955 (±0.006) | 0.958 (±0.006) | 0.957 (±0.005) |    2484   |
+| Negated     | 0.829 (±0.005) | 0.837 (±0.014) | 0.833 (±0.008) |    3160   |
+| Spec_cue    | 0.834 (±0.021) | 0.859 (±0.017) | 0.846 (±0.007) |     756   |
+| Speculated  | 0.708 (±0.019) | 0.719 (±0.016) | 0.713 (±0.016) |    1008   |
 
 
 ### Framework versions