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qa_afroxml
This model is a fine-tuned version of Davlan/afro-xlmr-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8436
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 261 | 2.7576 |
| 2.9898 | 2.0 | 522 | 2.8418 |
| 2.9898 | 3.0 | 783 | 2.6659 |
| 1.9119 | 4.0 | 1044 | 2.8548 |
| 1.9119 | 5.0 | 1305 | 3.2987 |
| 1.0452 | 6.0 | 1566 | 4.3218 |
| 1.0452 | 7.0 | 1827 | 4.8747 |
| 0.4662 | 8.0 | 2088 | 5.3515 |
| 0.4662 | 9.0 | 2349 | 5.6930 |
| 0.1931 | 10.0 | 2610 | 5.8436 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
