mobilebert-uncased-squad-v2-16-11-2
This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 16.1284
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 | 2.6193 |
| 1.4634 | 2.0 | 978 | 3.0847 |
| 1.2884 | 3.0 | 1467 | 3.2589 |
| 1.1511 | 4.0 | 1956 | 3.9182 |
| 1.0809 | 5.0 | 2445 | 3.7122 |
| 1.008 | 6.0 | 2934 | 4.5737 |
| 0.9048 | 7.0 | 3423 | 5.2430 |
| 0.7411 | 8.0 | 3912 | 5.4474 |
| 0.6668 | 9.0 | 4401 | 5.9275 |
| 0.557 | 10.0 | 4890 | 7.8979 |
| 0.4912 | 11.0 | 5379 | 7.8582 |
| 0.409 | 12.0 | 5868 | 8.1236 |
| 0.3293 | 13.0 | 6357 | 9.7170 |
| 0.3408 | 14.0 | 6846 | 10.1125 |
| 0.2514 | 15.0 | 7335 | 10.8043 |
| 0.2042 | 16.0 | 7824 | 11.1361 |
| 0.201 | 17.0 | 8313 | 12.5571 |
| 0.1846 | 18.0 | 8802 | 13.4892 |
| 0.1582 | 19.0 | 9291 | 13.4029 |
| 0.1185 | 20.0 | 9780 | 14.8577 |
| 0.1048 | 21.0 | 10269 | 15.3951 |
| 0.1258 | 22.0 | 10758 | 15.3019 |
| 0.0763 | 23.0 | 11247 | 15.5361 |
| 0.0684 | 24.0 | 11736 | 15.8837 |
| 0.0667 | 25.0 | 12225 | 16.1284 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0