| | --- |
| | base_model: phiyodr/bert-base-finetuned-squad2 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - covid_qa_deepset |
| | model-index: |
| | - name: bert-covidqa |
| | 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-covidqa |
| |
|
| | This model is a fine-tuned version of [phiyodr/bert-base-finetuned-squad2](https://huggingface.co/phiyodr/bert-base-finetuned-squad2) on the covid_qa_deepset dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6451 |
| |
|
| | ## 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: 3e-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: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.5829 | 0.04 | 5 | 1.0001 | |
| | | 0.7899 | 0.09 | 10 | 0.7849 | |
| | | 0.5929 | 0.13 | 15 | 0.7851 | |
| | | 0.691 | 0.18 | 20 | 0.7549 | |
| | | 0.6383 | 0.22 | 25 | 0.7199 | |
| | | 0.3216 | 0.26 | 30 | 0.7625 | |
| | | 0.3273 | 0.31 | 35 | 0.8644 | |
| | | 0.5909 | 0.35 | 40 | 0.7117 | |
| | | 0.2556 | 0.39 | 45 | 0.6681 | |
| | | 0.6896 | 0.44 | 50 | 0.7138 | |
| | | 0.6066 | 0.48 | 55 | 0.6614 | |
| | | 0.2602 | 0.53 | 60 | 0.6791 | |
| | | 0.4034 | 0.57 | 65 | 0.7168 | |
| | | 0.5511 | 0.61 | 70 | 0.7783 | |
| | | 0.6313 | 0.66 | 75 | 0.7269 | |
| | | 0.261 | 0.7 | 80 | 0.7106 | |
| | | 0.4904 | 0.75 | 85 | 0.6735 | |
| | | 0.4706 | 0.79 | 90 | 0.6370 | |
| | | 0.4174 | 0.83 | 95 | 0.6355 | |
| | | 0.3762 | 0.88 | 100 | 0.6356 | |
| | | 0.5128 | 0.92 | 105 | 0.6429 | |
| | | 0.553 | 0.96 | 110 | 0.6451 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
