bert-base-uncased-finetuned-squad
This model is a fine-tuned version of bert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.3657
- EM: 79.5837
- F1: 87.5227
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0671 | 1.0 | 5533 | 1.0278 |
| 0.8197 | 2.0 | 11066 | 1.0359 |
| 0.5664 | 3.0 | 16599 | 1.1494 |
| 0.4077 | 4.0 | 22132 | 1.2497 |
| 0.3299 | 5.0 | 27665 | 1.3657 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1