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my_deneme_3_epoch
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: 0.2653
- Precision: 0.8985
- Recall: 0.8916
- F1: 0.8950
- Accuracy: 0.9259
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 488 | 0.3634 | 0.8684 | 0.8580 | 0.8632 | 0.9029 |
0.6954 | 2.0 | 976 | 0.2862 | 0.8908 | 0.8838 | 0.8873 | 0.9204 |
0.3535 | 3.0 | 1464 | 0.2653 | 0.8985 | 0.8916 | 0.8950 | 0.9259 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2