Fine-Tuning
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bert-base-cased-squadv1-finetuned
This model is a fine-tuned version of bert-base-cased on 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 2
Training results
Evaluation Metrics:
- 'exact_match': 80.09460737937559
- 'f1': 87.57757654304311
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for martineden/bert-base-cased-squadv1-finetuned
Base model
google-bert/bert-base-cased