| --- |
| license: mit |
| base_model: csarron/bert-base-uncased-squad-v1 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - srh_test66 |
| model-index: |
| - name: bert-base-uncased-squad-v1-finetuned-SRH-v1 |
| results: [] |
| --- |
| |
| <!-- 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-base-uncased-squad-v1-finetuned-SRH-v1 |
|
|
| This model is a fine-tuned version of [csarron/bert-base-uncased-squad-v1](https://huggingface.co/csarron/bert-base-uncased-squad-v1) on the srh_test66 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6467 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.4301 | 1.0 | 43 | 1.6138 | |
| | 1.2414 | 2.0 | 86 | 1.6071 | |
| | 0.6683 | 3.0 | 129 | 1.6467 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
