bert-base-cased-unstructured-squad
This model is a fine-tuned version of bert-base-cased on the unstructured context of the martineden/structurized_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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 2
Training results
'exact_match': 79.28394039735099 'f1': 86.72720188038475
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for martineden/bert-base-cased-unstructured-squad
Base model
google-bert/bert-base-cased