Update README.md

README.md

@@ -30,10 +30,10 @@ This named entity recognition model detects temporal expressions (TIMEX) accordi
 - Time: e.g. *noche*
 
 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: 0.884 (±0.011)
-- Recall: 0.893 (±0.010)
-- F1: 0.888 (±0.009)
-- Accuracy: 0.995 (±0.001)
+- Precision: 0.900 (±0.011)
+- Recall: 0.900 (±0.009)
+- F1: 0.900 (±0.007)
+- Accuracy: 0.996 (±0.001)
 
 ## Model description
 
@@ -95,25 +95,27 @@ 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: 10 
+- num_epochs: average of 14 epochs (±2.24)
 
 
 ### Training results (test set; average and standard deviation of 5 rounds with different seeds)
 
 |   Precision    |     Recall     |       F1       |    Accuracy    |
 |:--------------:|:--------------:|:--------------:|:--------------:|
-| 0.884 (±0.011) | 0.893 (±0.010) | 0.888 (±0.009) | 0.995 (±0.001) |
+| 0.900 (±0.011) | 0.900 (±0.009) | 0.900 (±0.007) | 0.996 (±0.001) |
 
 
 **Results per class (test set; average and standard deviation of 5 rounds with different seeds)**  
 
+|:---------:|:--------------:|:--------------:|:--------------:|:---------:|
 | Class     |   Precision    |     Recall     |       F1       |  Support  |
 |:---------:|:--------------:|:--------------:|:--------------:|:---------:|
-| Age       | 0.905 (±0.016) | 0.920 (±0.011) | 0.912 (±0.013) |    372    |
-| Date      | 0.931 (±0.019) | 0.891 (±0.009) | 0.910 (±0.004) |    412    |
-| Duration  | 0.895 (±0.012) | 0.890 (±0.017) | 0.893 (±0.013) |    622    |
-| Frequency | 0.725 (±0.047) | 0.879 (±0.006) | 0.794 (±0.029) |     73    |
-| Time      | 0.733 (±0.026) | 0.834 (±0.027) | 0.780 (±0.017) |    113    |
+| Age       | 0.926 (±0.013) | 0.947 (±0.009) | 0.936 (±0.010) |    372    |
+| Date      | 0.931 (±0.015) | 0.895 (±0.014) | 0.913 (±0.013) |    412    |
+| Duration  | 0.918 (±0.014) | 0.893 (±0.019) | 0.905 (±0.010) |    629    |
+| Frequency | 0.780 (±0.043) | 0.885 (±0.008) | 0.829 (±0.024) |     73    |
+| Time      | 0.722 (±0.068) | 0.809 (±0.042) | 0.762 (±0.052) |    113    |
+
 
 
 ### Framework versions