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LazarusNLP/NusaBERT-base-POSP
NusaBERT-base-POSP is a token classification model from LazarusNLP. 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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From the Hugging Face model README
This model is a fine-tuned version of LazarusNLP/NusaBERT-base on the indonlu dataset. It achieves the following results on the evaluation set:
More information needed
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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 | 0.2680 | 0.9203 | 0.9203 | 0.9203 | 0.9203 |
| 0.6283 | 2.0 | 840 | 0.2017 | 0.9379 | 0.9379 | 0.9379 | 0.9379 |
| 0.218 | 3.0 | 1260 | 0.1785 | 0.9449 | 0.9449 | 0.9449 | 0.9449 |
| 0.1612 | 4.0 | 1680 | 0.1692 | 0.9490 | 0.9490 | 0.9490 | 0.9490 |
| 0.1393 | 5.0 | 2100 | 0.1577 | 0.9511 | 0.9511 | 0.9511 | 0.9511 |
| 0.1119 | 6.0 | 2520 | 0.1503 | 0.9539 | 0.9539 | 0.9539 | 0.9539 |
| 0.1119 | 7.0 | 2940 | 0.1499 | 0.9549 | 0.9549 | 0.9549 | 0.9549 |
| 0.0943 | 8.0 | 3360 | 0.1542 | 0.9547 | 0.9547 | 0.9547 | 0.9547 |
| 0.0824 | 9.0 | 3780 | 0.1517 | 0.9558 | 0.9558 | 0.9558 | 0.9558 |
| 0.0785 | 10.0 | 4200 | 0.1519 | 0.9557 | 0.9557 | 0.9557 | 0.9557 |