| | --- |
| | base_model: phiyodr/bert-base-finetuned-squad2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: test-bert-1 |
| | 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. --> |
| |
|
| | # test-bert-1 |
| |
|
| | This model is a fine-tuned version of [phiyodr/bert-base-finetuned-squad2](https://huggingface.co/phiyodr/bert-base-finetuned-squad2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 8.3972 |
| |
|
| | ## 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: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 8.3538 | 0.09 | 5 | 9.3652 | |
| | | 8.271 | 0.18 | 10 | 9.3025 | |
| | | 8.2794 | 0.27 | 15 | 9.2420 | |
| | | 8.0966 | 0.36 | 20 | 9.1837 | |
| | | 8.1925 | 0.45 | 25 | 9.1277 | |
| | | 8.1126 | 0.55 | 30 | 9.0740 | |
| | | 7.711 | 0.64 | 35 | 9.0230 | |
| | | 7.5978 | 0.73 | 40 | 8.9749 | |
| | | 8.0276 | 0.82 | 45 | 8.9287 | |
| | | 7.7477 | 0.91 | 50 | 8.8839 | |
| | | 7.5803 | 1.0 | 55 | 8.8422 | |
| | | 7.6439 | 1.09 | 60 | 8.8022 | |
| | | 7.4937 | 1.18 | 65 | 8.7649 | |
| | | 7.6905 | 1.27 | 70 | 8.7294 | |
| | | 7.7922 | 1.36 | 75 | 8.6950 | |
| | | 7.7377 | 1.45 | 80 | 8.6623 | |
| | | 7.8642 | 1.55 | 85 | 8.6316 | |
| | | 7.5909 | 1.64 | 90 | 8.6025 | |
| | | 7.4629 | 1.73 | 95 | 8.5758 | |
| | | 7.5195 | 1.82 | 100 | 8.5512 | |
| | | 7.664 | 1.91 | 105 | 8.5282 | |
| | | 7.3092 | 2.0 | 110 | 8.5074 | |
| | | 7.015 | 2.09 | 115 | 8.4889 | |
| | | 7.4112 | 2.18 | 120 | 8.4719 | |
| | | 7.6664 | 2.27 | 125 | 8.4563 | |
| | | 7.5634 | 2.36 | 130 | 8.4430 | |
| | | 7.4502 | 2.45 | 135 | 8.4314 | |
| | | 7.3085 | 2.55 | 140 | 8.4212 | |
| | | 7.2558 | 2.64 | 145 | 8.4128 | |
| | | 7.4077 | 2.73 | 150 | 8.4066 | |
| | | 7.6318 | 2.82 | 155 | 8.4017 | |
| | | 7.3355 | 2.91 | 160 | 8.3988 | |
| | | 7.4367 | 3.0 | 165 | 8.3972 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
