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@@ -47,6 +47,27 @@ The following hyperparameters were used during training:
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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+ ## Label Mappings
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+ This model can predict the following labels:
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+ - `0`: Election
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+ - `1`: Political Issue
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+ - `2`: Corruption
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+ - `3`: Democracy
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+ - `4`: Economic Growth
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+ - `5`: Economic Disparity
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+ - `6`: Economic Subsidy
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+ - `7`: Ethnic Discrimination
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+ - `8`: Ethnic Relation
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+ - `9`: Ethnic Culture
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+ - `10`: Religious Issue
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+ - `11`: Business and Finance
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+ - `12`: Sport
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+ - `13`: Food
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+ - `14`: Entertainment
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+ - `15`: Environmental Issue
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+ - `16`: Domestic News
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+ - `17`: World News
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+
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |