metadata
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-squad2
results: []
roberta-base-squad2
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: 3.3942
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 0.7072 | 1.0 | 501 | 3.2117 |
| 0.4908 | 2.0 | 1002 | 3.2706 |
| 0.4299 | 3.0 | 1503 | 2.9843 |
| 0.3255 | 4.0 | 2004 | 2.5795 |
| 0.2792 | 5.0 | 2505 | 2.9206 |
| 0.2594 | 6.0 | 3006 | 3.2329 |
| 0.2224 | 7.0 | 3507 | 2.9969 |
| 0.1998 | 8.0 | 4008 | 3.5739 |
| 0.1743 | 9.0 | 4509 | 3.4597 |
| 0.1559 | 10.0 | 5010 | 3.3942 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3