metadata
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
results: []
my_awesome_qa_model
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1742
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: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 198 | 0.2250 |
| No log | 2.0 | 396 | 0.2104 |
| 0.3324 | 3.0 | 594 | 0.2199 |
| 0.3324 | 4.0 | 792 | 0.1904 |
| 0.3324 | 5.0 | 990 | 0.1642 |
| 0.1403 | 6.0 | 1188 | 0.1693 |
| 0.1403 | 7.0 | 1386 | 0.1531 |
| 0.1083 | 8.0 | 1584 | 0.1712 |
| 0.1083 | 9.0 | 1782 | 0.1538 |
| 0.1083 | 10.0 | 1980 | 0.1498 |
| 0.0925 | 11.0 | 2178 | 0.1538 |
| 0.0925 | 12.0 | 2376 | 0.1627 |
| 0.0609 | 13.0 | 2574 | 0.1631 |
| 0.0609 | 14.0 | 2772 | 0.1707 |
| 0.0609 | 15.0 | 2970 | 0.1742 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1