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# bpmn-information-extraction-v2
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.2179
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- Precision: 0.8826
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# bpmn-information-extraction-v2
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on a dataset containing 104 textual process descriptions.
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The dataset contains 5 target labels:
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* `AGENT`
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* `TASK`
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* `TASK_INFO`
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* `PROCESS_INFO`
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* `CONDITION`
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It achieves the following results on the evaluation set:
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- Loss: 0.2179
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- Precision: 0.8826
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