metadata
license: mit
base_model: dbmdz/bert-base-turkish-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-turkish-uncased-ner
results: []
bert-base-turkish-uncased-ner
This model is a fine-tuned version of dbmdz/bert-base-turkish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2539
- F1: 0.7738
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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 593 | 0.2625 | 0.7593 |
| 0.3541 | 2.0 | 1186 | 0.2497 | 0.7683 |
| 0.3541 | 3.0 | 1779 | 0.2509 | 0.7660 |
| 0.1847 | 4.0 | 2372 | 0.2539 | 0.7738 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1