turkish-hs-target-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: 0.2668
- F1: 0.7805
- Roc Auc: 0.8458
- Accuracy: 0.7403
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: 48
- 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 | F1 | Roc Auc | Accuracy |
---|---|---|---|---|---|---|
0.4848 | 0.4348 | 100 | 0.4292 | 0.5819 | 0.7133 | 0.5283 |
0.3992 | 0.8696 | 200 | 0.3402 | 0.7118 | 0.7908 | 0.6311 |
0.3272 | 1.3043 | 300 | 0.3015 | 0.7529 | 0.8218 | 0.6857 |
0.3005 | 1.7391 | 400 | 0.2821 | 0.7684 | 0.8348 | 0.7124 |
0.2771 | 2.1739 | 500 | 0.2802 | 0.7749 | 0.8401 | 0.7251 |
0.2666 | 2.6087 | 600 | 0.2693 | 0.7746 | 0.8406 | 0.7263 |
0.2668 | 3.0435 | 700 | 0.2653 | 0.7766 | 0.8414 | 0.7365 |
0.2482 | 3.4783 | 800 | 0.2691 | 0.7715 | 0.8389 | 0.7213 |
0.2457 | 3.9130 | 900 | 0.2615 | 0.7767 | 0.8432 | 0.7359 |
0.2327 | 4.3478 | 1000 | 0.2616 | 0.7789 | 0.8443 | 0.7435 |
0.2299 | 4.7826 | 1100 | 0.2625 | 0.7768 | 0.8419 | 0.7302 |
0.2203 | 5.2174 | 1200 | 0.2612 | 0.7844 | 0.8480 | 0.7441 |
0.2164 | 5.6522 | 1300 | 0.2586 | 0.7859 | 0.8492 | 0.7505 |
0.2152 | 6.0870 | 1400 | 0.2649 | 0.7760 | 0.8422 | 0.7384 |
0.209 | 6.5217 | 1500 | 0.2635 | 0.7769 | 0.8424 | 0.7410 |
0.2085 | 6.9565 | 1600 | 0.2661 | 0.7819 | 0.8470 | 0.7371 |
0.2052 | 7.3913 | 1700 | 0.2651 | 0.7798 | 0.8451 | 0.7378 |
0.1983 | 7.8261 | 1800 | 0.2640 | 0.7860 | 0.8494 | 0.7467 |
0.1946 | 8.2609 | 1900 | 0.2666 | 0.7852 | 0.8489 | 0.7454 |
0.192 | 8.6957 | 2000 | 0.2667 | 0.7826 | 0.8474 | 0.7422 |
0.1965 | 9.1304 | 2100 | 0.2662 | 0.7804 | 0.8455 | 0.7416 |
0.1924 | 9.5652 | 2200 | 0.2668 | 0.7801 | 0.8458 | 0.7435 |
0.1854 | 10.0 | 2300 | 0.2668 | 0.7805 | 0.8458 | 0.7403 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for HrantDinkFoundation/turkish-hs-target-prediction
Base model
dbmdz/bert-base-turkish-uncased