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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-cased-unstructured-squad |
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results: [] |
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datasets: |
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- martineden/structurized_squad |
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metrics: |
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- exact_match |
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- f1 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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) |
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# bert-base-cased-unstructured-squad |
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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. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- num_epochs: 2 |
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### Training results |
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'exact_match': 79.28394039735099 |
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'f1': 86.72720188038475 |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
