turkish-hs-4class-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: 0.6299
- Accuracy: 0.8386
- Macro F1: 0.7423
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 |
---|---|---|---|---|---|
0.9672 | 0.1546 | 100 | 0.7851 | 0.7256 | 0.4082 |
0.723 | 0.3091 | 200 | 0.6540 | 0.7633 | 0.5104 |
0.6837 | 0.4637 | 300 | 0.6314 | 0.7546 | 0.5525 |
0.617 | 0.6182 | 400 | 0.5643 | 0.7865 | 0.5749 |
0.5646 | 0.7728 | 500 | 0.5438 | 0.7961 | 0.5855 |
0.5512 | 0.9274 | 600 | 0.5321 | 0.8029 | 0.5996 |
0.5424 | 1.0819 | 700 | 0.5225 | 0.8077 | 0.6486 |
0.4391 | 1.2365 | 800 | 0.5219 | 0.8077 | 0.6325 |
0.4898 | 1.3910 | 900 | 0.5025 | 0.8164 | 0.6495 |
0.4858 | 1.5456 | 1000 | 0.4951 | 0.8232 | 0.6762 |
0.4845 | 1.7002 | 1100 | 0.4921 | 0.8261 | 0.6952 |
0.4459 | 1.8547 | 1200 | 0.4736 | 0.8425 | 0.7337 |
0.4382 | 2.0093 | 1300 | 0.4817 | 0.8087 | 0.6545 |
0.4137 | 2.1638 | 1400 | 0.4742 | 0.8357 | 0.7303 |
0.3781 | 2.3184 | 1500 | 0.4939 | 0.8213 | 0.6920 |
0.4351 | 2.4730 | 1600 | 0.4945 | 0.8309 | 0.7283 |
0.4155 | 2.6275 | 1700 | 0.4806 | 0.8367 | 0.7150 |
0.3674 | 2.7821 | 1800 | 0.4797 | 0.8357 | 0.7203 |
0.3878 | 2.9366 | 1900 | 0.4717 | 0.8406 | 0.7355 |
0.3613 | 3.0912 | 2000 | 0.4934 | 0.8367 | 0.7222 |
0.3289 | 3.2457 | 2100 | 0.4841 | 0.8377 | 0.7210 |
0.3332 | 3.4003 | 2200 | 0.4928 | 0.8386 | 0.7343 |
0.3724 | 3.5549 | 2300 | 0.4890 | 0.8386 | 0.7276 |
0.3421 | 3.7094 | 2400 | 0.4942 | 0.8425 | 0.7397 |
0.3289 | 3.8640 | 2500 | 0.4912 | 0.8454 | 0.7453 |
0.3374 | 4.0185 | 2600 | 0.4880 | 0.8454 | 0.7479 |
0.3045 | 4.1731 | 2700 | 0.4936 | 0.8415 | 0.7412 |
0.2781 | 4.3277 | 2800 | 0.4889 | 0.8444 | 0.7418 |
0.3461 | 4.4822 | 2900 | 0.5148 | 0.8444 | 0.7407 |
0.3228 | 4.6368 | 3000 | 0.5109 | 0.8338 | 0.7382 |
0.3222 | 4.7913 | 3100 | 0.5131 | 0.8473 | 0.7404 |
0.2552 | 4.9459 | 3200 | 0.5233 | 0.8435 | 0.7420 |
0.2804 | 5.1005 | 3300 | 0.5154 | 0.8435 | 0.7377 |
0.2257 | 5.2550 | 3400 | 0.5353 | 0.8357 | 0.7421 |
0.2731 | 5.4096 | 3500 | 0.5389 | 0.8512 | 0.7527 |
0.2638 | 5.5641 | 3600 | 0.5288 | 0.8512 | 0.7615 |
0.2674 | 5.7187 | 3700 | 0.5350 | 0.8483 | 0.7555 |
0.2701 | 5.8733 | 3800 | 0.5597 | 0.8454 | 0.7511 |
0.2733 | 6.0278 | 3900 | 0.5444 | 0.8367 | 0.7452 |
0.2106 | 6.1824 | 4000 | 0.5750 | 0.8261 | 0.7330 |
0.2631 | 6.3369 | 4100 | 0.5724 | 0.8338 | 0.7343 |
0.2227 | 6.4915 | 4200 | 0.5836 | 0.8145 | 0.7170 |
0.241 | 6.6461 | 4300 | 0.5633 | 0.8464 | 0.7544 |
0.2374 | 6.8006 | 4400 | 0.5758 | 0.8367 | 0.7437 |
0.2583 | 6.9552 | 4500 | 0.5661 | 0.8464 | 0.7475 |
0.2057 | 7.1097 | 4600 | 0.5843 | 0.8473 | 0.7521 |
0.1991 | 7.2643 | 4700 | 0.5905 | 0.8454 | 0.7466 |
0.1997 | 7.4189 | 4800 | 0.5916 | 0.8377 | 0.7421 |
0.1897 | 7.5734 | 4900 | 0.5918 | 0.8386 | 0.7454 |
0.2295 | 7.7280 | 5000 | 0.5916 | 0.8329 | 0.7391 |
0.2219 | 7.8825 | 5100 | 0.6007 | 0.8464 | 0.7511 |
0.2162 | 8.0371 | 5200 | 0.6132 | 0.8512 | 0.7550 |
0.1922 | 8.1917 | 5300 | 0.6047 | 0.8406 | 0.7474 |
0.206 | 8.3462 | 5400 | 0.6075 | 0.8473 | 0.7521 |
0.188 | 8.5008 | 5500 | 0.6161 | 0.8454 | 0.7474 |
0.2061 | 8.6553 | 5600 | 0.6218 | 0.8473 | 0.7494 |
0.2027 | 8.8099 | 5700 | 0.6237 | 0.8357 | 0.7382 |
0.2109 | 8.9645 | 5800 | 0.6226 | 0.8406 | 0.7462 |
0.2151 | 9.1190 | 5900 | 0.6235 | 0.8406 | 0.7461 |
0.1532 | 9.2736 | 6000 | 0.6253 | 0.8435 | 0.7470 |
0.1746 | 9.4281 | 6100 | 0.6257 | 0.8406 | 0.7440 |
0.1917 | 9.5827 | 6200 | 0.6288 | 0.8377 | 0.7411 |
0.1925 | 9.7372 | 6300 | 0.6298 | 0.8357 | 0.7395 |
0.1886 | 9.8918 | 6400 | 0.6299 | 0.8386 | 0.7423 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Downloads last month
- 196
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for HrantDinkFoundation/turkish-hs-4class-prediction
Base model
dbmdz/bert-base-turkish-uncased