bert-vie-yes-no-question
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0411
- Accuracy: 0.84
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: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.6487 | 1.33 | 100 | 0.4541 | 0.78 |
| 0.4658 | 2.67 | 200 | 0.3792 | 0.84 |
| 0.3364 | 4.0 | 300 | 0.4989 | 0.8 |
| 0.2161 | 5.33 | 400 | 0.7150 | 0.82 |
| 0.1619 | 6.67 | 500 | 1.0048 | 0.8 |
| 0.1185 | 8.0 | 600 | 0.9606 | 0.84 |
| 0.0811 | 9.33 | 700 | 1.0411 | 0.84 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
