bert-base-cased-finetuned-squad_v2-bs_32
This model is a fine-tuned version of bert-base-cased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5835
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 1.0646 | 1.0 | 4128 | 1.1130 |
| 0.8143 | 2.0 | 8256 | 1.1558 |
| 0.6028 | 3.0 | 12384 | 1.3857 |
| 0.47 | 4.0 | 16512 | 1.4318 |
| 0.3676 | 5.0 | 20640 | 1.5835 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1
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