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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # BERT-evidence-types
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.8008
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  - Macro f1: 0.4227
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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-
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- More information needed
 
 
 
 
 
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  ## Training and evaluation data
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- More information needed
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-
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- ## Training procedure
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  ### Training hyperparameters
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  # BERT-evidence-types
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the evidence types dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.8008
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  - Macro f1: 0.4227
 
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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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