turkish-rte-2
This model is a fine-tuned version of dbmdz/bert-base-turkish-128k-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7020
- Validation Loss: 0.6937
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.7029 | 0.6953 | 0 |
0.7032 | 0.6998 | 1 |
0.7010 | 0.6923 | 2 |
0.6984 | 0.6917 | 3 |
0.7020 | 0.6937 | 4 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.