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roberta-base-squad2
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: 0.1446
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4337 | 1.0 | 582 | 0.1969 |
0.2562 | 2.0 | 1164 | 0.1279 |
0.1404 | 3.0 | 1746 | 0.1665 |
0.1674 | 4.0 | 2328 | 0.1802 |
0.1319 | 5.0 | 2910 | 0.1101 |
0.0978 | 6.0 | 3492 | 0.1353 |
0.0747 | 7.0 | 4074 | 0.1291 |
0.0458 | 8.0 | 4656 | 0.1353 |
0.0461 | 9.0 | 5238 | 0.1323 |
0.0301 | 10.0 | 5820 | 0.1446 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3