turkish-hs-2class-prediction
This model is a fine-tuned version of dbmdz/bert-base-turkish-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5990
- Accuracy: 0.8748
- Macro F1: 0.8696
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 20
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
---|---|---|---|---|---|
0.585 | 0.1462 | 100 | 0.4524 | 0.7797 | 0.7752 |
0.4357 | 0.2924 | 200 | 0.3881 | 0.8099 | 0.8065 |
0.4058 | 0.4386 | 300 | 0.3497 | 0.8428 | 0.8337 |
0.3747 | 0.5848 | 400 | 0.3356 | 0.8583 | 0.8504 |
0.3571 | 0.7310 | 500 | 0.3340 | 0.8355 | 0.8318 |
0.3311 | 0.8772 | 600 | 0.3091 | 0.8665 | 0.8603 |
0.3065 | 1.0234 | 700 | 0.3085 | 0.8693 | 0.8614 |
0.3151 | 1.1696 | 800 | 0.2962 | 0.8684 | 0.8616 |
0.2795 | 1.3158 | 900 | 0.2885 | 0.8784 | 0.8722 |
0.263 | 1.4620 | 1000 | 0.3155 | 0.8647 | 0.8610 |
0.3116 | 1.6082 | 1100 | 0.3208 | 0.8629 | 0.8580 |
0.2744 | 1.7544 | 1200 | 0.3005 | 0.8803 | 0.8746 |
0.2868 | 1.9006 | 1300 | 0.3130 | 0.8675 | 0.8631 |
0.2454 | 2.0468 | 1400 | 0.3330 | 0.8611 | 0.8575 |
0.2262 | 2.1930 | 1500 | 0.3454 | 0.8629 | 0.8587 |
0.2483 | 2.3392 | 1600 | 0.3144 | 0.8757 | 0.8712 |
0.2451 | 2.4854 | 1700 | 0.3237 | 0.8647 | 0.8607 |
0.2384 | 2.6316 | 1800 | 0.3390 | 0.8638 | 0.8605 |
0.2347 | 2.7778 | 1900 | 0.3635 | 0.8611 | 0.8580 |
0.2683 | 2.9240 | 2000 | 0.3083 | 0.8748 | 0.8679 |
0.2047 | 3.0702 | 2100 | 0.3251 | 0.8748 | 0.8696 |
0.21 | 3.2164 | 2200 | 0.3381 | 0.8839 | 0.8784 |
0.1948 | 3.3626 | 2300 | 0.3383 | 0.8803 | 0.8754 |
0.1953 | 3.5088 | 2400 | 0.3495 | 0.8757 | 0.8707 |
0.1873 | 3.6550 | 2500 | 0.3539 | 0.8857 | 0.8787 |
0.201 | 3.8012 | 2600 | 0.3520 | 0.8784 | 0.8731 |
0.1935 | 3.9474 | 2700 | 0.3656 | 0.8629 | 0.8588 |
0.189 | 4.0936 | 2800 | 0.3486 | 0.8793 | 0.8737 |
0.1312 | 4.2398 | 2900 | 0.3845 | 0.8793 | 0.8737 |
0.1824 | 4.3860 | 3000 | 0.4035 | 0.8757 | 0.8696 |
0.1994 | 4.5322 | 3100 | 0.3820 | 0.8784 | 0.8737 |
0.1535 | 4.6784 | 3200 | 0.4042 | 0.8739 | 0.8683 |
0.1902 | 4.8246 | 3300 | 0.3990 | 0.8803 | 0.8730 |
0.1622 | 4.9708 | 3400 | 0.4224 | 0.8665 | 0.8619 |
0.1319 | 5.1170 | 3500 | 0.4311 | 0.8748 | 0.8694 |
0.1533 | 5.2632 | 3600 | 0.4505 | 0.8647 | 0.8609 |
0.1251 | 5.4094 | 3700 | 0.4523 | 0.8720 | 0.8670 |
0.1473 | 5.5556 | 3800 | 0.4535 | 0.8812 | 0.8762 |
0.1439 | 5.7018 | 3900 | 0.4566 | 0.8784 | 0.8727 |
0.1487 | 5.8480 | 4000 | 0.4472 | 0.8830 | 0.8772 |
0.1539 | 5.9942 | 4100 | 0.4414 | 0.8803 | 0.8743 |
0.1212 | 6.1404 | 4200 | 0.4778 | 0.8766 | 0.8720 |
0.1187 | 6.2865 | 4300 | 0.4734 | 0.8857 | 0.8806 |
0.1007 | 6.4327 | 4400 | 0.5087 | 0.8784 | 0.8731 |
0.1263 | 6.5789 | 4500 | 0.4983 | 0.8876 | 0.8826 |
0.1264 | 6.7251 | 4600 | 0.4999 | 0.8784 | 0.8737 |
0.1257 | 6.8713 | 4700 | 0.4943 | 0.8839 | 0.8776 |
0.121 | 7.0175 | 4800 | 0.5123 | 0.8775 | 0.8708 |
0.1012 | 7.1637 | 4900 | 0.5321 | 0.8775 | 0.8724 |
0.13 | 7.3099 | 5000 | 0.5426 | 0.8748 | 0.8703 |
0.1061 | 7.4561 | 5100 | 0.5380 | 0.8784 | 0.8732 |
0.1028 | 7.6023 | 5200 | 0.5481 | 0.8739 | 0.8685 |
0.1236 | 7.7485 | 5300 | 0.5456 | 0.8803 | 0.8740 |
0.0889 | 7.8947 | 5400 | 0.5653 | 0.8784 | 0.8722 |
0.0912 | 8.0409 | 5500 | 0.5781 | 0.8748 | 0.8699 |
0.1035 | 8.1871 | 5600 | 0.5711 | 0.8793 | 0.8736 |
0.109 | 8.3333 | 5700 | 0.5692 | 0.8793 | 0.8729 |
0.0996 | 8.4795 | 5800 | 0.5694 | 0.8793 | 0.8736 |
0.1158 | 8.6257 | 5900 | 0.5886 | 0.8720 | 0.8670 |
0.1008 | 8.7719 | 6000 | 0.5973 | 0.8702 | 0.8660 |
0.0859 | 8.9181 | 6100 | 0.5815 | 0.8803 | 0.8746 |
0.0927 | 9.0643 | 6200 | 0.5840 | 0.8766 | 0.8711 |
0.0918 | 9.2105 | 6300 | 0.5862 | 0.8775 | 0.8724 |
0.0661 | 9.3567 | 6400 | 0.5912 | 0.8784 | 0.8732 |
0.0884 | 9.5029 | 6500 | 0.5923 | 0.8784 | 0.8730 |
0.0845 | 9.6491 | 6600 | 0.6021 | 0.8748 | 0.8698 |
0.1071 | 9.7953 | 6700 | 0.6044 | 0.8748 | 0.8698 |
0.1016 | 9.9415 | 6800 | 0.5990 | 0.8748 | 0.8696 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
dbmdz/bert-base-turkish-uncased