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w11wo/indonesian-roberta-base-nerp-tagger
indonesian-roberta-base-nerp-tagger is a token classification model from w11wo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.safetensors496 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 420 | 0.1419 | 0.7491 | 0.8034 | 0.7753 | 0.9551 |
| 0.2261 | 2.0 | 840 | 0.1317 | 0.7889 | 0.7983 | 0.7936 | 0.9569 |
| 0.1081 | 3.0 | 1260 | 0.1430 | 0.7587 | 0.8300 | 0.7927 | 0.9546 |
| 0.0777 | 4.0 | 1680 | 0.1459 | 0.7848 | 0.8266 | 0.8052 | 0.9577 |
| 0.0563 | 5.0 | 2100 | 0.1525 | 0.7923 | 0.8125 | 0.8022 | 0.9579 |
| 0.0441 | 6.0 | 2520 | 0.1552 | 0.7986 | 0.8176 | 0.8080 | 0.9584 |
| 0.0441 | 7.0 | 2940 | 0.1692 | 0.7910 | 0.8232 | 0.8068 | 0.9584 |
| 0.0387 | 8.0 | 3360 | 0.1677 | 0.7894 | 0.8306 | 0.8095 | 0.9588 |
| 0.032 | 9.0 | 3780 | 0.1784 | 0.7939 | 0.8249 | 0.8091 | 0.9586 |
| 0.0284 | 10.0 | 4200 | 0.1817 | 0.7950 | 0.8261 | 0.8102 | 0.9588 |