mobilebert-uncased-squad-v2-16-11-2-16-11-2
This model is a fine-tuned version of badokorach/mobilebert-uncased-squad-v2-16-11-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 25.2478
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 489 | 11.9059 |
| 0.3138 | 2.0 | 978 | 14.2379 |
| 0.2761 | 3.0 | 1467 | 14.5768 |
| 0.1998 | 4.0 | 1956 | 15.1178 |
| 0.2174 | 5.0 | 2445 | 16.0960 |
| 0.1874 | 6.0 | 2934 | 16.4190 |
| 0.155 | 7.0 | 3423 | 16.1489 |
| 0.1099 | 8.0 | 3912 | 16.4489 |
| 0.1429 | 9.0 | 4401 | 18.7170 |
| 0.1202 | 10.0 | 4890 | 17.5416 |
| 0.0998 | 11.0 | 5379 | 19.1337 |
| 0.0669 | 12.0 | 5868 | 20.7663 |
| 0.0517 | 13.0 | 6357 | 22.7418 |
| 0.0735 | 14.0 | 6846 | 22.7180 |
| 0.057 | 15.0 | 7335 | 21.5752 |
| 0.0382 | 16.0 | 7824 | 24.7041 |
| 0.0287 | 17.0 | 8313 | 23.8935 |
| 0.0582 | 18.0 | 8802 | 23.1639 |
| 0.0539 | 19.0 | 9291 | 23.2207 |
| 0.0349 | 20.0 | 9780 | 23.2792 |
| 0.0279 | 21.0 | 10269 | 24.0050 |
| 0.0536 | 22.0 | 10758 | 25.2554 |
| 0.0245 | 23.0 | 11247 | 25.7729 |
| 0.015 | 24.0 | 11736 | 25.1429 |
| 0.0166 | 25.0 | 12225 | 25.2478 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0