metadata
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: questionAnswerv2
results: []
questionAnswerv2
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9120
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: 0.002
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3935 | 1.0 | 14 | 3.9120 |
| 3.9241 | 2.0 | 28 | 3.9120 |
| 3.9488 | 3.0 | 42 | 3.9120 |
| 3.9451 | 4.0 | 56 | 3.9120 |
| 3.9209 | 5.0 | 70 | 3.9120 |
| 3.9112 | 6.0 | 84 | 3.9120 |
| 3.9061 | 7.0 | 98 | 3.9120 |
| 3.9173 | 8.0 | 112 | 3.9120 |
| 3.9328 | 9.0 | 126 | 3.9120 |
| 3.9263 | 10.0 | 140 | 3.9120 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2