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: 0.9623
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 |
|---|---|---|---|
| 0.8848 | 1.0 | 9137 | 0.8389 |
| 0.7753 | 2.0 | 18274 | 0.7794 |
| 0.7765 | 3.0 | 27411 | 0.8597 |
| 0.8242 | 4.0 | 36548 | 0.8571 |
| 0.6728 | 5.0 | 45685 | 0.9071 |
| 0.7219 | 6.0 | 54822 | 0.7628 |
| 0.6047 | 7.0 | 63959 | 0.9108 |
| 0.6137 | 8.0 | 73096 | 0.8685 |
| 0.5439 | 9.0 | 82233 | 0.8586 |
| 0.5387 | 10.0 | 91370 | 0.9623 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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