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huseyincenik
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conll_ner_with_bert

Token Classification
Transformers
TensorFlow
English
bert
generated_from_keras_callback
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@@ -42,52 +42,52 @@ This model has been trained to perform Named Entity Recognition (NER) and is bas
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  - **Training Dataset**: CoNLL-2003
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  - **Training Evaluation Metrics**:
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- precision recall f1-score support
 
 
 
 
 
 
 
 
 
 
 
 
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- B-PER 0.98 0.98 0.98 11273
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- I-PER 0.98 0.99 0.99 9323
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- B-ORG 0.88 0.92 0.90 10447
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- I-ORG 0.81 0.92 0.86 5137
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- B-LOC 0.86 0.94 0.90 9621
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- I-LOC 1.00 0.08 0.14 1267
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- B-MISC 0.81 0.73 0.77 4793
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- I-MISC 0.83 0.36 0.50 1329
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-
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- micro avg 0.90 0.90 0.90 53190
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- macro avg 0.89 0.74 0.75 53190
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- weighted avg 0.90 0.90 0.89 53190
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  - **Validation Evaluation Metrics**:
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- precision recall f1-score support
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-
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- B-PER 0.97 0.98 0.97 3018
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- I-PER 0.98 0.98 0.98 2741
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- B-ORG 0.86 0.91 0.88 2056
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- I-ORG 0.77 0.81 0.79 900
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- B-LOC 0.86 0.94 0.90 2618
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- I-LOC 1.00 0.10 0.18 281
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- B-MISC 0.77 0.74 0.76 1231
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- I-MISC 0.77 0.34 0.48 390
 
 
 
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- micro avg 0.90 0.89 0.89 13235
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- macro avg 0.87 0.73 0.74 13235
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- weighted avg 0.90 0.89 0.88 13235
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  - **Test Evaluation Metrics**:
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- precision recall f1-score support
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-
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- B-PER 0.96 0.95 0.96 2714
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- I-PER 0.98 0.99 0.98 2487
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- B-ORG 0.81 0.87 0.84 2588
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- I-ORG 0.74 0.87 0.80 1050
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- B-LOC 0.81 0.90 0.85 2121
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- I-LOC 0.89 0.12 0.22 276
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- B-MISC 0.75 0.67 0.71 996
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- I-MISC 0.85 0.49 0.62 241
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-
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- micro avg 0.87 0.88 0.87 12473
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- macro avg 0.85 0.73 0.75 12473
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- weighted avg 0.87 0.88 0.86 12473
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  - **Training Dataset**: CoNLL-2003
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  - **Training Evaluation Metrics**:
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+ | Label | Precision | Recall | F1-Score | Support |
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+ |---------|-----------|--------|----------|---------|
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+ | B-PER | 0.98 | 0.98 | 0.98 | 11273 |
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+ | I-PER | 0.98 | 0.99 | 0.99 | 9323 |
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+ | B-ORG | 0.88 | 0.92 | 0.90 | 10447 |
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+ | I-ORG | 0.81 | 0.92 | 0.86 | 5137 |
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+ | B-LOC | 0.86 | 0.94 | 0.90 | 9621 |
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+ | I-LOC | 1.00 | 0.08 | 0.14 | 1267 |
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+ | B-MISC | 0.81 | 0.73 | 0.77 | 4793 |
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+ | I-MISC | 0.83 | 0.36 | 0.50 | 1329 |
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+ | **Micro Avg** | **0.90** | **0.90** | **0.90** | **53190** |
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+ | **Macro Avg** | **0.89** | **0.74** | **0.75** | **53190** |
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+ | **Weighted Avg** | **0.90** | **0.90** | **0.89** | **53190** |
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  - **Validation Evaluation Metrics**:
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+ | Label | Precision | Recall | F1-Score | Support |
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+ |---------|-----------|--------|----------|---------|
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+ | B-PER | 0.97 | 0.98 | 0.97 | 3018 |
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+ | I-PER | 0.98 | 0.98 | 0.98 | 2741 |
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+ | B-ORG | 0.86 | 0.91 | 0.88 | 2056 |
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+ | I-ORG | 0.77 | 0.81 | 0.79 | 900 |
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+ | B-LOC | 0.86 | 0.94 | 0.90 | 2618 |
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+ | I-LOC | 1.00 | 0.10 | 0.18 | 281 |
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+ | B-MISC | 0.77 | 0.74 | 0.76 | 1231 |
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+ | I-MISC | 0.77 | 0.34 | 0.48 | 390 |
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+ | **Micro Avg** | **0.90** | **0.89** | **0.89** | **13235** |
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+ | **Macro Avg** | **0.87** | **0.73** | **0.74** | **13235** |
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+ | **Weighted Avg** | **0.90** | **0.89** | **0.88** | **13235** |
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  - **Test Evaluation Metrics**:
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+ | Label | Precision | Recall | F1-Score | Support |
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+ |---------|-----------|--------|----------|---------|
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+ | B-PER | 0.96 | 0.95 | 0.96 | 2714 |
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+ | I-PER | 0.98 | 0.99 | 0.98 | 2487 |
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+ | B-ORG | 0.81 | 0.87 | 0.84 | 2588 |
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+ | I-ORG | 0.74 | 0.87 | 0.80 | 1050 |
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+ | B-LOC | 0.81 | 0.90 | 0.85 | 2121 |
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+ | I-LOC | 0.89 | 0.12 | 0.22 | 276 |
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+ | B-MISC | 0.75 | 0.67 | 0.71 | 996 |
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+ | I-MISC | 0.85 | 0.49 | 0.62 | 241 |
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+ | **Micro Avg** | **0.87** | **0.88** | **0.87** | **12473** |
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+ | **Macro Avg** | **0.85** | **0.73** | **0.75** | **12473** |
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+ | **Weighted Avg** | **0.87** | **0.88** | **0.86** | **12473** |
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+
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