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ttnksm/lease_sk_ner_emph_bold
lease_sk_ner_emph_bold is a token classification model from ttnksm. 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 gerulata/slovakbert 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 |
|---|---|---|---|
| No log | 1.0 | 1329 | 0.0258 |
| 0.0467 | 2.0 | 2658 | 0.0229 |
| 0.0467 | 3.0 | 3987 | 0.0215 |
| 0.01 | 4.0 | 5316 | 0.0231 |
| 0.0061 | 5.0 | 6645 | 0.0277 |
| 0.0061 | 6.0 | 7974 | 0.0288 |
| 0.0045 | 7.0 | 9303 | 0.0351 |
| 0.0032 | 8.0 | 10632 | 0.0316 |
| 0.0032 | 9.0 | 11961 | 0.0370 |
| 0.0025 | 10.0 | 13290 | 0.0402 |
| 0.0018 | 11.0 | 14619 | 0.0367 |
| 0.0018 | 12.0 | 15948 | 0.0396 |
| 0.0015 | 13.0 | 17277 | 0.0417 |
| 0.0012 | 14.0 | 18606 | 0.0433 |
| 0.0012 | 15.0 | 19935 | 0.0446 |