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yanekyuk/berturk-cased-keyword-discriminator
berturk-cased-keyword-discriminator is a token classification model from yanekyuk. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown 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 | Precision | Recall | Accuracy | F1 | Ent/precision | Ent/accuracy | Ent/f1 | Con/precision | Con/accuracy | Con/f1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1899 | 1.0 | 1875 | 0.1927 | 0.6330 | 0.6682 | 0.9163 | 0.6502 | 0.6283 | 0.7398 | 0.6795 | 0.6438 | 0.5513 | 0.5940 |
| 0.137 | 2.0 | 3750 | 0.1988 | 0.6405 | 0.6959 | 0.9160 | 0.6671 | 0.6461 | 0.7475 | 0.6931 | 0.6297 | 0.6116 | 0.6205 |
| 0.101 | 3.0 | 5625 | 0.2375 | 0.6494 | 0.7188 | 0.9173 | 0.6824 | 0.6497 | 0.7743 | 0.7066 | 0.6488 | 0.6281 | 0.6383 |
| 0.0767 | 4.0 | 7500 | 0.2699 | 0.6533 | 0.7188 | 0.9154 | 0.6845 | 0.6575 | 0.7741 | 0.7111 | 0.6449 | 0.6285 | 0.6366 |
| 0.057 | 5.0 | 9375 | 0.3188 | 0.6696 | 0.6914 | 0.9163 | 0.6803 | 0.6790 | 0.7405 | 0.7084 | 0.6518 | 0.6112 | 0.6308 |
| 0.0423 | 6.0 | 11250 | 0.3646 | 0.6773 | 0.6846 | 0.9171 | 0.6809 | 0.6787 | 0.7388 | 0.7075 | 0.6746 | 0.5959 | 0.6328 |
| 0.0339 | 7.0 | 13125 | 0.4007 | 0.6711 | 0.6816 | 0.9151 | 0.6763 | 0.6782 | 0.7283 | 0.7023 | 0.6575 | 0.6055 | 0.6304 |
| 0.0282 | 8.0 | 15000 | 0.4196 | 0.6729 | 0.6904 | 0.9163 | 0.6815 | 0.6776 | 0.7365 | 0.7058 | 0.6640 | 0.6151 | 0.6386 |