metadata
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-30
results: []
bert-30
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.5113
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.3133 | 0.09 | 5 | 12.3059 |
| 11.4119 | 0.18 | 10 | 12.2326 |
| 10.9781 | 0.27 | 15 | 12.1623 |
| 11.087 | 0.36 | 20 | 12.0961 |
| 11.0516 | 0.45 | 25 | 12.0332 |
| 11.0596 | 0.55 | 30 | 11.9737 |
| 10.3306 | 0.64 | 35 | 11.9182 |
| 10.9488 | 0.73 | 40 | 11.8666 |
| 10.4959 | 0.82 | 45 | 11.8184 |
| 10.3818 | 0.91 | 50 | 11.7738 |
| 10.143 | 1.0 | 55 | 11.7325 |
| 10.3456 | 1.09 | 60 | 11.6951 |
| 10.4584 | 1.18 | 65 | 11.6612 |
| 10.6774 | 1.27 | 70 | 11.6308 |
| 10.2145 | 1.36 | 75 | 11.6035 |
| 10.6536 | 1.45 | 80 | 11.5801 |
| 10.3892 | 1.55 | 85 | 11.5599 |
| 10.3469 | 1.64 | 90 | 11.5429 |
| 10.1863 | 1.73 | 95 | 11.5295 |
| 10.4296 | 1.82 | 100 | 11.5200 |
| 9.989 | 1.91 | 105 | 11.5140 |
| 10.3568 | 2.0 | 110 | 11.5113 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1