bert-base-turkish-uncased-ner
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: 0.4455
- F1: 0.6359
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 54 | 0.8666 | 0.3682 |
| No log | 2.0 | 108 | 0.5577 | 0.5438 |
| No log | 3.0 | 162 | 0.4634 | 0.6249 |
| No log | 4.0 | 216 | 0.4455 | 0.6359 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for meryemmm22/bert-base-turkish-uncased-ner
Base model
dbmdz/bert-base-turkish-uncased