QA_REFINED_DATA_14K_14-08
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: 0.8890
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 0.923 | 1.0 | 5451 | 0.6928 |
| 0.7731 | 2.0 | 10902 | 0.8015 |
| 0.6107 | 3.0 | 16353 | 0.7948 |
| 0.5961 | 4.0 | 21804 | 0.7665 |
| 0.6113 | 5.0 | 27255 | 0.8171 |
| 0.5014 | 6.0 | 32706 | 0.7901 |
| 0.4425 | 7.0 | 38157 | 0.7140 |
| 0.4546 | 8.0 | 43608 | 0.8264 |
| 0.3919 | 9.0 | 49059 | 0.8266 |
| 0.3568 | 10.0 | 54510 | 0.8890 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3