dal-bert-finetuned-address-v1
This model is a fine-tuned version of sharif-dal/dal-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1825
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6281 | 1.0 | 5455 | 1.3490 |
| 1.32 | 2.0 | 10910 | 1.2199 |
| 1.2409 | 3.0 | 16365 | 1.1815 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3