uda_qa_deberta
This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9272
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: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7868 | 1.0 | 24 | 1.3981 |
| 0.7556 | 2.0 | 48 | 1.0414 |
| 0.508 | 3.0 | 72 | 0.9954 |
| 0.3307 | 4.0 | 96 | 0.9373 |
| 0.3098 | 5.0 | 120 | 0.9613 |
| 0.2105 | 6.0 | 144 | 0.9799 |
| 0.1567 | 7.0 | 168 | 0.8763 |
| 0.105 | 8.0 | 192 | 0.9742 |
| 0.0942 | 9.0 | 216 | 0.9634 |
| 0.0733 | 10.0 | 240 | 0.9067 |
| 0.0493 | 11.0 | 264 | 0.9081 |
| 0.0348 | 12.0 | 288 | 0.9272 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
timpal0l/mdeberta-v3-base-squad2