RobertaLr1e-8Wd0.02E30
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: 2.9031
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: 1e-08
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2032 | 1.0 | 72 | 3.9788 |
| 2.5986 | 2.0 | 144 | 3.8826 |
| 4.2112 | 3.0 | 216 | 3.7919 |
| 4.317 | 4.0 | 288 | 3.7059 |
| 5.0045 | 5.0 | 360 | 3.6254 |
| 2.5192 | 6.0 | 432 | 3.5512 |
| 3.853 | 7.0 | 504 | 3.4843 |
| 4.114 | 8.0 | 576 | 3.4189 |
| 2.6909 | 9.0 | 648 | 3.3598 |
| 2.0035 | 10.0 | 720 | 3.3054 |
| 3.5397 | 11.0 | 792 | 3.2552 |
| 3.3885 | 12.0 | 864 | 3.2090 |
| 2.5693 | 13.0 | 936 | 3.1681 |
| 3.2048 | 14.0 | 1008 | 3.1314 |
| 2.9462 | 15.0 | 1080 | 3.0964 |
| 2.9265 | 16.0 | 1152 | 3.0652 |
| 3.3392 | 17.0 | 1224 | 3.0373 |
| 3.2634 | 18.0 | 1296 | 3.0125 |
| 3.7834 | 19.0 | 1368 | 2.9907 |
| 2.3272 | 20.0 | 1440 | 2.9720 |
| 3.0372 | 21.0 | 1512 | 2.9562 |
| 2.9964 | 22.0 | 1584 | 2.9421 |
| 3.1609 | 23.0 | 1656 | 2.9303 |
| 2.9584 | 24.0 | 1728 | 2.9214 |
| 2.51 | 25.0 | 1800 | 2.9144 |
| 3.3621 | 26.0 | 1872 | 2.9094 |
| 3.089 | 27.0 | 1944 | 2.9058 |
| 3.4029 | 28.0 | 2016 | 2.9040 |
| 3.7397 | 29.0 | 2088 | 2.9033 |
| 2.7515 | 30.0 | 2160 | 2.9031 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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