mDeBERTa-v3-wiki-qa_v2
This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0148
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1279 | 1.0 | 2125 | 0.0632 |
| 0.0925 | 2.0 | 4250 | 0.0461 |
| 0.0863 | 3.0 | 6375 | 0.0365 |
| 0.0731 | 4.0 | 8500 | 0.0180 |
| 0.0583 | 5.0 | 10625 | 0.0148 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1