<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
model_from_berturk_1401
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2702
- Precision: 0.8979
- Recall: 0.8911
- F1: 0.8945
- Accuracy: 0.9254
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 244 | 0.4037 | 0.8571 | 0.8504 | 0.8537 | 0.8950 |
No log | 2.0 | 488 | 0.3194 | 0.8798 | 0.8741 | 0.8769 | 0.9126 |
0.6153 | 3.0 | 732 | 0.2787 | 0.8954 | 0.8862 | 0.8908 | 0.9230 |
0.6153 | 4.0 | 976 | 0.2702 | 0.8979 | 0.8911 | 0.8945 | 0.9254 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2