distilbert-base-uncased-finetuned-squad-test1
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the srh_test66 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9022
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 |
|---|---|---|---|
| 4.3346 | 1.0 | 43 | 3.3179 |
| 1.3602 | 2.0 | 86 | 2.9792 |
| 2.0349 | 3.0 | 129 | 2.9022 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2