bigbird-QA-squad_v2.3
This model is a fine-tuned version of google/bigbird-roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3324
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 121
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7892 | 1.0 | 203 | 1.6201 |
| 1.4879 | 2.0 | 407 | 1.3778 |
| 1.3885 | 2.99 | 609 | 1.3324 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google/bigbird-roberta-base