bert-base-uncased-retrained-squad
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 127 | 2.8619 |
| No log | 2.0 | 254 | 2.8528 |
| No log | 3.0 | 381 | 3.0415 |
| 0.671 | 4.0 | 508 | 3.3311 |
| 0.671 | 5.0 | 635 | 3.3139 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
