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Update README.md
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README.md
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@@ -45,6 +45,27 @@ The following hyperparameters were used during training:
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- num_epochs: 16
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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: 16
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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