distilbert-base-cased-distilled-squad-231123
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5287
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: 8
- eval_batch_size: 8
- 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 | 116 | 1.9383 |
| No log | 2.0 | 232 | 1.9901 |
| No log | 3.0 | 348 | 2.0780 |
| No log | 4.0 | 464 | 2.2501 |
| 1.4804 | 5.0 | 580 | 2.4190 |
| 1.4804 | 6.0 | 696 | 2.5925 |
| 1.4804 | 7.0 | 812 | 2.7649 |
| 1.4804 | 8.0 | 928 | 2.9029 |
| 0.5119 | 9.0 | 1044 | 3.0296 |
| 0.5119 | 10.0 | 1160 | 3.1669 |
| 0.5119 | 11.0 | 1276 | 3.3412 |
| 0.5119 | 12.0 | 1392 | 3.3165 |
| 0.2287 | 13.0 | 1508 | 3.4167 |
| 0.2287 | 14.0 | 1624 | 3.5039 |
| 0.2287 | 15.0 | 1740 | 3.5287 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0