<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilroberta-base-finetuned-squad_v2
This model is a fine-tuned version of distilroberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1230
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1061 | 1.0 | 8239 | 1.0501 |
| 0.8862 | 2.0 | 16478 | 1.0564 |
| 0.7547 | 3.0 | 24717 | 1.1230 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
