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bert-large-uncased-whole-word-masking-squad
This model is a fine-tuned version of deepset/bert-large-uncased-whole-word-masking-squad2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.3100
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 0.1796 |
| 0.21 | 2.0 | 500 | 0.2187 |
| 0.21 | 3.0 | 750 | 0.3100 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2
