Hugging Face's logo

huseyincenik
/
conll_ner_with_bert

Token Classification
Transformers
TensorFlow
English
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
huseyincenik commited on
Commit
0f8a1bf
•
1 Parent(s): 7633c29

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +40 -40
README.md CHANGED
@@ -42,52 +42,52 @@ This model has been trained to perform Named Entity Recognition (NER) and is bas
42
  - **Training Dataset**: CoNLL-2003
43
 
44
  - **Training Evaluation Metrics**:
45
- precision recall f1-score support
 
 
 
 
 
 
 
 
 
 
 
 
46
 
47
- B-PER 0.98 0.98 0.98 11273
48
- I-PER 0.98 0.99 0.99 9323
49
- B-ORG 0.88 0.92 0.90 10447
50
- I-ORG 0.81 0.92 0.86 5137
51
- B-LOC 0.86 0.94 0.90 9621
52
- I-LOC 1.00 0.08 0.14 1267
53
- B-MISC 0.81 0.73 0.77 4793
54
- I-MISC 0.83 0.36 0.50 1329
55
-
56
- micro avg 0.90 0.90 0.90 53190
57
- macro avg 0.89 0.74 0.75 53190
58
- weighted avg 0.90 0.90 0.89 53190
59
 
60
  - **Validation Evaluation Metrics**:
61
- precision recall f1-score support
62
-
63
- B-PER 0.97 0.98 0.97 3018
64
- I-PER 0.98 0.98 0.98 2741
65
- B-ORG 0.86 0.91 0.88 2056
66
- I-ORG 0.77 0.81 0.79 900
67
- B-LOC 0.86 0.94 0.90 2618
68
- I-LOC 1.00 0.10 0.18 281
69
- B-MISC 0.77 0.74 0.76 1231
70
- I-MISC 0.77 0.34 0.48 390
 
 
 
71
 
72
- micro avg 0.90 0.89 0.89 13235
73
- macro avg 0.87 0.73 0.74 13235
74
- weighted avg 0.90 0.89 0.88 13235
75
 
76
  - **Test Evaluation Metrics**:
77
- precision recall f1-score support
78
-
79
- B-PER 0.96 0.95 0.96 2714
80
- I-PER 0.98 0.99 0.98 2487
81
- B-ORG 0.81 0.87 0.84 2588
82
- I-ORG 0.74 0.87 0.80 1050
83
- B-LOC 0.81 0.90 0.85 2121
84
- I-LOC 0.89 0.12 0.22 276
85
- B-MISC 0.75 0.67 0.71 996
86
- I-MISC 0.85 0.49 0.62 241
87
-
88
- micro avg 0.87 0.88 0.87 12473
89
- macro avg 0.85 0.73 0.75 12473
90
- weighted avg 0.87 0.88 0.86 12473
91
 
92
 
93
 
 
42
  - **Training Dataset**: CoNLL-2003
43
 
44
  - **Training Evaluation Metrics**:
45
+ | Label | Precision | Recall | F1-Score | Support |
46
+ |---------|-----------|--------|----------|---------|
47
+ | B-PER | 0.98 | 0.98 | 0.98 | 11273 |
48
+ | I-PER | 0.98 | 0.99 | 0.99 | 9323 |
49
+ | B-ORG | 0.88 | 0.92 | 0.90 | 10447 |
50
+ | I-ORG | 0.81 | 0.92 | 0.86 | 5137 |
51
+ | B-LOC | 0.86 | 0.94 | 0.90 | 9621 |
52
+ | I-LOC | 1.00 | 0.08 | 0.14 | 1267 |
53
+ | B-MISC | 0.81 | 0.73 | 0.77 | 4793 |
54
+ | I-MISC | 0.83 | 0.36 | 0.50 | 1329 |
55
+ | **Micro Avg** | **0.90** | **0.90** | **0.90** | **53190** |
56
+ | **Macro Avg** | **0.89** | **0.74** | **0.75** | **53190** |
57
+ | **Weighted Avg** | **0.90** | **0.90** | **0.89** | **53190** |
58
 
 
 
 
 
 
 
 
 
 
 
 
 
59
 
60
  - **Validation Evaluation Metrics**:
61
+ | Label | Precision | Recall | F1-Score | Support |
62
+ |---------|-----------|--------|----------|---------|
63
+ | B-PER | 0.97 | 0.98 | 0.97 | 3018 |
64
+ | I-PER | 0.98 | 0.98 | 0.98 | 2741 |
65
+ | B-ORG | 0.86 | 0.91 | 0.88 | 2056 |
66
+ | I-ORG | 0.77 | 0.81 | 0.79 | 900 |
67
+ | B-LOC | 0.86 | 0.94 | 0.90 | 2618 |
68
+ | I-LOC | 1.00 | 0.10 | 0.18 | 281 |
69
+ | B-MISC | 0.77 | 0.74 | 0.76 | 1231 |
70
+ | I-MISC | 0.77 | 0.34 | 0.48 | 390 |
71
+ | **Micro Avg** | **0.90** | **0.89** | **0.89** | **13235** |
72
+ | **Macro Avg** | **0.87** | **0.73** | **0.74** | **13235** |
73
+ | **Weighted Avg** | **0.90** | **0.89** | **0.88** | **13235** |
74
 
 
 
 
75
 
76
  - **Test Evaluation Metrics**:
77
+ | Label | Precision | Recall | F1-Score | Support |
78
+ |---------|-----------|--------|----------|---------|
79
+ | B-PER | 0.96 | 0.95 | 0.96 | 2714 |
80
+ | I-PER | 0.98 | 0.99 | 0.98 | 2487 |
81
+ | B-ORG | 0.81 | 0.87 | 0.84 | 2588 |
82
+ | I-ORG | 0.74 | 0.87 | 0.80 | 1050 |
83
+ | B-LOC | 0.81 | 0.90 | 0.85 | 2121 |
84
+ | I-LOC | 0.89 | 0.12 | 0.22 | 276 |
85
+ | B-MISC | 0.75 | 0.67 | 0.71 | 996 |
86
+ | I-MISC | 0.85 | 0.49 | 0.62 | 241 |
87
+ | **Micro Avg** | **0.87** | **0.88** | **0.87** | **12473** |
88
+ | **Macro Avg** | **0.85** | **0.73** | **0.75** | **12473** |
89
+ | **Weighted Avg** | **0.87** | **0.88** | **0.86** | **12473** |
90
+
91
 
92
 
93