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mouminach/moumi_ner_combined
moumi_ner_combined is a token classification model from mouminach. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors538 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0747 | 1.0 | 1774 | 0.0660 | 0.9788 | 0.8597 |
| 0.0484 | 2.0 | 3548 | 0.0555 | 0.9823 | 0.8785 |
| 0.0333 | 3.0 | 5322 | 0.0578 | 0.9845 | 0.8960 |
| 0.0247 | 4.0 | 7096 | 0.0611 | 0.9843 | 0.8979 |
| 0.0151 | 5.0 | 8870 | 0.0674 | 0.9844 | 0.8989 |
| 0.0105 | 6.0 | 10644 | 0.0712 | 0.9848 | 0.8993 |
| 0.0088 | 7.0 | 12418 | 0.0745 | 0.9856 | 0.9043 |
| 0.0064 | 8.0 | 14192 | 0.0774 | 0.9853 | 0.9023 |
| 0.0051 | 9.0 | 15966 | 0.0806 | 0.9857 | 0.9037 |
| 0.0038 | 10.0 | 17740 | 0.0821 | 0.9856 | 0.9043 |