metadata
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-turkish-cased-finetuned-ner
results: []
bert-base-turkish-cased-finetuned-ner
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: 0.1591
- Precision: 0.9068
- Recall: 0.9245
- F1: 0.9156
- Accuracy: 0.9622
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 |
|---|---|---|---|---|---|---|---|
| 0.2222 | 1.0 | 1250 | 0.1655 | 0.8835 | 0.9037 | 0.8935 | 0.9533 |
| 0.1227 | 2.0 | 2500 | 0.1618 | 0.8954 | 0.9199 | 0.9075 | 0.9590 |
| 0.0783 | 3.0 | 3750 | 0.1591 | 0.9068 | 0.9245 | 0.9156 | 0.9622 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0