bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad
This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3855
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 40 | 0.4082 |
| No log | 2.0 | 80 | 0.3855 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6