lcampillos commited on
Commit
027a043
1 Parent(s): a1bb52d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -8
README.md CHANGED
@@ -2,8 +2,6 @@
2
  license: cc-by-nc-4.0
3
  tags:
4
  - generated_from_trainer
5
- language:
6
- - es
7
  metrics:
8
  - precision
9
  - recall
@@ -32,10 +30,10 @@ This named entity recognition model detects temporal expressions (TIMEX) accordi
32
  - Time: e.g. *noche*
33
 
34
  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):
35
- - Precision: 0.879 (±0.013)
36
- - Recall: 0.886 (±0.008)
37
- - F1: 0.882 (±0.011)
38
- - Accuracy: 0.995 (±0.001)
39
 
40
  ## Model description
41
 
@@ -104,10 +102,10 @@ The following hyperparameters were used during training:
104
 
105
  | Precision | Recall | F1 | Accuracy |
106
  |:--------------:|:--------------:|:--------------:|:--------------:|
107
- | 0.879 (±0.013) | 0.886 (±0.008) | 0.882 (±0.011) | 0.995 (±0.001) |
108
 
109
 
110
- ** Results per class (test set; average and standard deviation of 5 rounds with different seeds) **
111
 
112
  | Class | Precision | Recall | F1 | Support |
113
  |:---------:|:--------------:|:--------------:|:--------------:|:---------:|
 
2
  license: cc-by-nc-4.0
3
  tags:
4
  - generated_from_trainer
 
 
5
  metrics:
6
  - precision
7
  - recall
 
30
  - Time: e.g. *noche*
31
 
32
  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):
33
+ - Precision: 0.975 (±0.001)
34
+ - Recall: 0.984 (±0.001)
35
+ - F1: 0.980 (±0.001)
36
+ - Accuracy: 0.999 (±0.001)
37
 
38
  ## Model description
39
 
 
102
 
103
  | Precision | Recall | F1 | Accuracy |
104
  |:--------------:|:--------------:|:--------------:|:--------------:|
105
+ | 0.975 (±0.001) | 0.984 (±0.001) | 0.980 (±0.001) | 0.999 (±0.001) |
106
 
107
 
108
+ **Results per class (test set; average and standard deviation of 5 rounds with different seeds)**
109
 
110
  | Class | Precision | Recall | F1 | Support |
111
  |:---------:|:--------------:|:--------------:|:--------------:|:---------:|