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  # ijelid-bert-base-multilingual
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- This model was trained from scratch on the None dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
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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