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robbertje-1-gb-shuffled-finetuned-squad
This model is a fine-tuned version of DTAI-KULeuven/robbertje-1-gb-shuffled on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6048
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 |
|---|---|---|---|
| 1.6845 | 1.0 | 8326 | 1.5239 |
| 1.4006 | 2.0 | 16652 | 1.6028 |
| 1.1941 | 3.0 | 24978 | 1.6048 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
