| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - bert_base_for_Q&A |
| - generated_from_trainer |
| model-index: |
| - name: bert-finetuned-squad |
| results: [] |
| datasets: |
| - rajpurkar/squad |
| language: |
| - en |
| metrics: |
| - squad |
| pipeline_tag: question-answering |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bert-finetuned-squad |
|
|
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
|
|
| ## Model description |
| Use of Bert-based-case |
|
|
| ## Training procedure |
| Use of Triner from huggingface from transformers library |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
| |
| |
| ### Training results |
| - 'f1': 88.14385525453847 |
| - 'exact_match': 80.7379375591296 |
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.9.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
