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README.md
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# ijelid-bert-base-multilingual
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.3553
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- Precision: 0.9189
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- F1: 0.9187
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- Accuracy: 0.9451
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## Model description
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More information needed
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# ijelid-bert-base-multilingual
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This model is a fine-tuned version of [BERT multilingual base model (cased)](https://huggingface.co/bert-base-multilingual-cased) on the Indonesian-Javanese-English code-mixed Twitter dataset.
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Label ID and its corresponding name:
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| Label ID | Label Name |
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|:---------------:|:------------------------------------------:
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| LABEL_0 | English (EN) |
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| LABEL_1 | Indonesian (ID) |
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| LABEL_2 | Javanese (JV) |
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| LABEL_3 | Mixed Indonesian-English (MIX-ID-EN) |
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| LABEL_4 | Mixed Indonesian-Javanese (MIX-ID-JV) |
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| LABEL_5 | Mixed Javanese-English (MIX-JV-EN) |
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| LABEL_6 | Other (O) |
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It achieves the following results on the evaluation set:
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- Loss: 0.3553
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- Precision: 0.9189
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- F1: 0.9187
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- Accuracy: 0.9451
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It achieves the following results on the test set:
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- Overall Precision: 0.9249
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- Overall Recall: 0.9251
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- Overall F1: 0.925
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- Overall Accuracy: 0.951
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## Model description
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More information needed
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