bert-base-uncased-squad-v2.0-finetuned
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset.
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: 0.00012
- train_batch_size: 48
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.17.0
- Tokenizers 0.12.1
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