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README.md
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# MiniLM-evidence-types
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the
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It
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- Loss: 1.8672
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- Macro f1: 0.3726
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- Weighted f1: 0.7030
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## Model description
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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# MiniLM-evidence-types
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the evidence types dataset.
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It achieved the following results on the evaluation set:
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- Loss: 1.8672
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- Macro f1: 0.3726
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- Weighted f1: 0.7030
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## Model description
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This model will give a senctence one of eight labels:
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- assumption
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- anecdote
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- testimony
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- definition
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- statistics/study
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- other
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- none
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- continue
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## Training and evaluation data
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The data set, as well as the code that was used to fine tune this model can be found in the GitHub repository [BA-Thesis-Information-Science-Persuasion-Strategies](https://github.com/mariekevdh/BA-Thesis-Information-Science-Persuasion-Strategies)
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### Training hyperparameters
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