Add training results
Browse files
README.md
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---
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license: apache-2.0
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base_model: chuuhtetnaing/myanmar-text-segmentation-model
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tags:
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- token-classification
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- myanmar
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- ner-tagging
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language:
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- my
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datasets:
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- chuuhtetnaing/myanmar-ner-dataset
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metrics:
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- f1
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---
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# Myanmar ner Tagging Model
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Fine-tuned [myanmar-pos-model](https://huggingface.co/chuuhtetnaing/myanmar-pos-model) for Myanmar NER tagging.
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## Training Results
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| Epoch | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
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|-------|---------------|-----------------|-----------|--------|------|----------|
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| 1 | N/A | 0.3730 | 0.5397 | 0.5068 | 0.5227 | 0.9175 |
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| 2 | N/A | 0.1809 | 0.7271 | 0.7958 | 0.7599 | 0.9481 |
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| 3 | N/A | 0.1295 | 0.7815 | 0.8408 | 0.8101 | 0.9637 |
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| 4 | N/A | 0.1015 | 0.7836 | 0.8602 | 0.8201 | 0.9710 |
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| 5 | N/A | 0.0965 | 0.8200 | 0.8943 | 0.8555 | 0.9719 |
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| 6 | N/A | 0.0879 | 0.8299 | 0.9019 | 0.8644 | 0.9738 |
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| 7 | N/A | 0.0819 | 0.8580 | 0.9137 | 0.8849 | 0.9765 |
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| 8 | N/A | 0.0768 | 0.8660 | 0.9148 | 0.8897 | 0.9780 |
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| 9 | N/A | 0.0757 | 0.8784 | 0.9202 | 0.8988 | 0.9784 |
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| 10 | 0.0527 | 0.0760 | 0.8737 | 0.9125 | 0.8927 | 0.9791 |
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| 11 | N/A | 0.0785 | 0.8710 | 0.9236 | 0.8965 | 0.9775 |
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| 12 | N/A | 0.0754 | 0.8830 | 0.9225 | 0.9023 | 0.9794 |
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| 13 | N/A | 0.0754 | 0.8896 | 0.9231 | 0.9061 | 0.9802 |
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| 14 | N/A | 0.0813 | 0.8742 | 0.9274 | 0.9000 | 0.9779 |
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| 15 | N/A | 0.0763 | 0.8952 | 0.9247 | 0.9097 | 0.9812 |
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| 16 | N/A | 0.0841 | 0.8713 | 0.9252 | 0.8974 | 0.9779 |
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| 17 | N/A | 0.0805 | 0.8924 | 0.9258 | 0.9088 | 0.9805 |
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| 18 | N/A | 0.0790 | 0.8854 | 0.9279 | 0.9061 | 0.9802 |
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| 19 | N/A | 0.0801 | 0.8864 | 0.9249 | 0.9052 | 0.9806 |
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| 20 | 0.0326 | 0.0788 | 0.8939 | 0.9254 | 0.9094 | 0.9817 |
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| 21 | N/A | 0.0801 | 0.8863 | 0.9263 | 0.9059 | 0.9808 |
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| 22 | N/A | 0.0815 | 0.8866 | 0.9267 | 0.9062 | 0.9806 |
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| 23 | N/A | 0.0825 | 0.8854 | 0.9281 | 0.9062 | 0.9804 |
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| 24 | N/A | 0.0828 | 0.8874 | 0.9272 | 0.9068 | 0.9807 |
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| 25 | N/A | 0.0826 | 0.8884 | 0.9276 | 0.9076 | 0.9809 |
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| 26 | N/A | 0.0828 | 0.8887 | 0.9272 | 0.9075 | 0.9807 |
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| 27 | N/A | 0.0835 | 0.8855 | 0.9256 | 0.9051 | 0.9803 |
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| 28 | N/A | 0.0837 | 0.8871 | 0.9267 | 0.9065 | 0.9805 |
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| 29 | N/A | 0.0837 | 0.8855 | 0.9272 | 0.9058 | 0.9804 |
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| 30 | 0.0271 | 0.0832 | 0.8875 | 0.9267 | 0.9067 | 0.9806 |
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## Training Details
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| Parameter | Value |
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|-----------|-------|
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| Base Model | chuuhtetnaing/myanmar-pos-model |
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| Total Epochs | 30 |
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| Total Steps | 510 |
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| Best F1 | 0.9097 |
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## Usage
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```python
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from transformers import pipeline
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nlp = pipeline("token-classification", model="chuuhtetnaing/myanmar_ner_model", aggregation_strategy="simple")
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result = nlp("သူသည်ကျောင်းသို့သွားသည်။")
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```
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## NER Labels
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| Tag | Description |
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|-----|-------------|
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| B-DATE | Beginning of Date |
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| I-DATE | Inside Date |
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| B-LOC | Beginning of Location |
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| I-LOC | Inside Location |
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| B-NUM | Beginning of Number |
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| I-NUM | Inside Number |
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| B-ORG | Beginning of Organization |
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| I-ORG | Inside Organization |
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| B-PER | Beginning of Person |
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| I-PER | Inside Person |
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| B-TIME | Beginning of Time |
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| I-TIME | Inside Time |
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| O | Outside (Not an entity) |
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