bigbird-QA-squad_v2.4
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: 0.8951
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 244
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3245 | 1.0 | 407 | 1.1746 |
| 1.0089 | 2.0 | 814 | 0.9133 |
| 0.8408 | 3.0 | 1221 | 0.8951 |
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