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README.md
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example_title: "Star Wars"
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Multi-Label Text classification model used to decode if passages contain a misfortunate event, a cause for misfortune, and/or an action to mollify or prevent some misfortune.
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<ul>
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<li>EVENT:
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<ul>
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Illness: .
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<li>
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Accident: .
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Other: .
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</li>
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<li>CAUSE:
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Just Happens:
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Material Physical: .
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Spirits and Gods: .
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Witchcraft and Sorcery: .
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Rule Violation Taboo: .
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Jealous Evil Eye:
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</li>
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<li>ACTION:
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Physical Material: .
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<li>
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Technical Specialist: .
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<li>
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Divination: .
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Shaman Medium Healer: .
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Priest High Religion: .
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Other:
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</li>
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example_title: "Star Wars"
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---
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Multi-Label Text classification model used to decode if passages contain a misfortunate event, a cause for misfortune, and/or an action to mollify or prevent some misfortune. Note that at this moment, some labels have been excluded as they are not relevant for the final use of the model
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8293 passages were used for Training and split into 5 folds (~6634 for train set, ~1659 for validation set over 5 folds). Although multiple parameters were tested, the current model uses:
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learning rate: 2e-5
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weight decay: .01
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Dropout: .1
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Batch Size: 8
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Epochs: 15 (epoch 13 used here)
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The current F1 micro score of 2074 passages not used for training is .637. individual class f1 scores shown below.
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<ul>
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<li>EVENT: -
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Illness: .866
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</li>
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<li>
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Accident: .41
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</li>
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<li>
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Other: .583
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</li>
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<li>CAUSE: -
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Just Happens: -
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</li>
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Material Physical: .431
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</li>
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Spirits and Gods: .667
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Witchcraft and Sorcery: .615
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</li>
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<li>
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Rule Violation Taboo: .555
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</li>
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<li>
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Jealous Evil Eye: -
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</li>
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</ul>
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</li>
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<li>ACTION: -
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Physical Material: .635
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</li>
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<li>
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Technical Specialist: .357
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</li>
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<li>
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Divination: .303
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</li>
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Shaman Medium Healer: .549
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Priest High Religion: .34
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Other: -
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</ul>
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</li>
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