bert-large-uncased-whole-word-masking-squad2-finetuned-islamic-squad
This model is a fine-tuned version of deepset/bert-large-uncased-whole-word-masking-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4152
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: 5e-06
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.3 | 100 | 0.3653 |
| No log | 2.6 | 200 | 0.4152 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2