QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_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: 0.5700
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 |
|---|---|---|---|
| 0.4114 | 1.0 | 9281 | 0.5647 |
| 0.4344 | 2.0 | 18562 | 0.5296 |
| 0.3542 | 3.0 | 27843 | 0.4666 |
| 0.3583 | 4.0 | 37124 | 0.4045 |
| 0.319 | 5.0 | 46405 | 0.4944 |
| 0.2701 | 6.0 | 55686 | 0.5352 |
| 0.313 | 7.0 | 64967 | 0.4846 |
| 0.2025 | 8.0 | 74248 | 0.5701 |
| 0.2424 | 9.0 | 83529 | 0.5456 |
| 0.1944 | 10.0 | 92810 | 0.5700 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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