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bert-base-multilingual-cased-finetuned-luganda-qa
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3748 | 1.0 | 2215 | 0.1817 |
| 0.0707 | 2.0 | 4430 | 0.0123 |
| 0.0141 | 3.0 | 6645 | 0.0007 |
| 0.0045 | 4.0 | 8860 | 0.0002 |
| 0.0005 | 5.0 | 11075 | 0.0000 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
