roberta-base-squad2-finetuned-newqa1
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3201
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 2.2730 |
| No log | 2.0 | 132 | 1.9853 |
| No log | 3.0 | 198 | 2.0627 |
| No log | 4.0 | 264 | 2.3190 |
| No log | 5.0 | 330 | 2.5382 |
| No log | 6.0 | 396 | 3.0129 |
| No log | 7.0 | 462 | 3.0762 |
| 1.127 | 8.0 | 528 | 3.3226 |
| 1.127 | 9.0 | 594 | 3.4531 |
| 1.127 | 10.0 | 660 | 3.9486 |
| 1.127 | 11.0 | 726 | 3.7776 |
| 1.127 | 12.0 | 792 | 3.5990 |
| 1.127 | 13.0 | 858 | 3.7593 |
| 1.127 | 14.0 | 924 | 4.0871 |
| 1.127 | 15.0 | 990 | 4.0839 |
| 0.1163 | 16.0 | 1056 | 4.2244 |
| 0.1163 | 17.0 | 1122 | 4.2595 |
| 0.1163 | 18.0 | 1188 | 4.3196 |
| 0.1163 | 19.0 | 1254 | 4.3051 |
| 0.1163 | 20.0 | 1320 | 4.3201 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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