| | --- |
| | license: cc-by-4.0 |
| | base_model: deepset/bert-base-cased-squad2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-30 |
| | 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-30 |
| |
|
| | This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 11.4865 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 11.2225 | 0.18 | 5 | 12.3054 | |
| | | 10.9594 | 0.36 | 10 | 12.2315 | |
| | | 11.0948 | 0.54 | 15 | 12.1603 | |
| | | 10.8444 | 0.71 | 20 | 12.0935 | |
| | | 10.7294 | 0.89 | 25 | 12.0294 | |
| | | 10.5432 | 1.07 | 30 | 11.9697 | |
| | | 10.71 | 1.25 | 35 | 11.9133 | |
| | | 10.5919 | 1.43 | 40 | 11.8601 | |
| | | 10.5393 | 1.61 | 45 | 11.8109 | |
| | | 10.562 | 1.79 | 50 | 11.7650 | |
| | | 10.6558 | 1.96 | 55 | 11.7222 | |
| | | 10.4995 | 2.14 | 60 | 11.6835 | |
| | | 10.3046 | 2.32 | 65 | 11.6488 | |
| | | 10.2809 | 2.5 | 70 | 11.6169 | |
| | | 10.6538 | 2.68 | 75 | 11.5887 | |
| | | 10.2451 | 2.86 | 80 | 11.5635 | |
| | | 10.2671 | 3.04 | 85 | 11.5420 | |
| | | 10.7256 | 3.21 | 90 | 11.5243 | |
| | | 10.2996 | 3.39 | 95 | 11.5094 | |
| | | 10.1658 | 3.57 | 100 | 11.4983 | |
| | | 10.4609 | 3.75 | 105 | 11.4906 | |
| | | 10.3872 | 3.93 | 110 | 11.4865 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
