---
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-unstructured-squad
  results: []
datasets:
- martineden/structurized_squad
metrics:
- exact_match
- f1
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/irmak-eren/Thesis-fine-tuning-for-experiments/runs/rx7nhehp)

# bert-base-cased-unstructured-squad

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the unstructured context of the [martineden/structurized_squad](https://huggingface.co/datasets/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