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--- |
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language: ger |
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license: apache-2.0 |
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widget: |
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- text: '###Context |
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Der Patient hat Brustkrebs. |
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###Answer' |
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example_title: Patient mit Brustkreb |
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--- |
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tiny Llama trained on BRO dataset with NER tags, Labels and Tokens. |
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WCETrainer r100_O10_f100 , run lemon-fog-11 checkpoint-1623. |
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- EVAL |
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AVGf1 = 93%, overall_f1 = 82% |
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- TEST |
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'DIAG': {'precision': 0.710079275198188, 'recall': 0.7674418604651163, 'f1': 0.7376470588235293, 'number': 817}, |
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'MED': {'precision': 0.9379084967320261, 'recall': 0.959866220735786, 'f1': 0.9487603305785124, 'number': 299}, |
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'TREAT': {'precision': 0.8542914171656687, 'recall': 0.856, 'f1': 0.8551448551448552, 'number': 500}, 'one': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 0}, |
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'overall_precision': 0.7672955974842768, 'overall_recall': 0.8304455445544554, 'overall_f1': 0.7976225854383358, 'overall_accuracy': 0.9280119624038735} |
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average_f1 = 0.8471840815156323 |
