bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on the squad 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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Dataset used to train SiraH/bert-finetuned-squad
Evaluation results
- Exact Match on squad_v2validation set verified40.244
- F1 on squad_v2validation set verified44.135
- Exact Match on subjqaverified5.625
- F1 on subjqaverified15.841