training-distilbert-base-uncased-finetuned-squad
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 128
- eval_batch_size: 128
- 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 |
|---|
| 2.252 | 1.0 | 692 | 1.3607 |
| 1.3548 | 2.0 | 1384 | 1.2387 |
| 1.1063 | 3.0 | 2076 | 1.2139 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.2+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
