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Emalper/hindi-nepali-token-classification
hindi-nepali-token-classification is a token classification model from Emalper. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors948 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of google/muril-base-cased on an unknown 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 |
|---|---|---|---|---|---|---|---|
| 0.138 | 1.0 | 5224 | 0.1122 | 0.3658 | 0.3675 | 0.3667 | 0.4220 |
| 0.0834 | 2.0 | 10448 | 0.0807 | 0.3666 | 0.3687 | 0.3676 | 0.4225 |
| 0.0613 | 3.0 | 15672 | 0.0786 | 0.3656 | 0.3675 | 0.3665 | 0.4218 |