QA_REFINED_QUESTIONS_AND_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: 1.5917
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 |
|---|---|---|---|
| 1.3897 | 1.0 | 5389 | 1.5180 |
| 1.231 | 2.0 | 10778 | 1.3101 |
| 1.1957 | 3.0 | 16167 | 1.4652 |
| 1.133 | 4.0 | 21556 | 1.3314 |
| 1.1529 | 5.0 | 26945 | 1.4526 |
| 1.1318 | 6.0 | 32334 | 1.3718 |
| 1.0172 | 7.0 | 37723 | 1.4211 |
| 0.9746 | 8.0 | 43112 | 1.7017 |
| 0.9014 | 9.0 | 48501 | 1.4937 |
| 0.8843 | 10.0 | 53890 | 1.5917 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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