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bert-base-cased-unstructured-squad

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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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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for martineden/bert-base-cased-unstructured-squad

Base model

google-bert/bert-base-cased

Finetuned

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this model

Dataset used to train martineden/bert-base-cased-unstructured-squad