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README.md
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- name: NER F Score
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type: f_score
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value: 0.8232189974
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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| `ENTS_P` | 81.30 |
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| `ENTS_R` | 83.37 |
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| `TRANSFORMER_LOSS` | 41138.73 |
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| `NER_LOSS` | 103772.53 |
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- name: NER F Score
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type: f_score
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value: 0.8232189974
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datasets:
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- chcaa/DANSK
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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| `ENTS_P` | 81.30 |
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| `ENTS_R` | 83.37 |
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| `TRANSFORMER_LOSS` | 41138.73 |
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| `NER_LOSS` | 103772.53 |
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### Training
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For progression in loss and performance on the dev set during training, please refer to the Weights and Biases run, [HERE](https://wandb.ai/emil-tj/dacy-an-efficient-pipeline-for-danish/runs/b2wv5ah9?workspace=user-emil-tj)
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