afriberta-small-hausa-5e-5
This model is a fine-tuned version of castorini/afriberta_small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1600
- Precision: 0.6808
- Recall: 0.4937
- F1: 0.5724
- Accuracy: 0.9623
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1523 | 1.0 | 1312 | 0.1338 | 0.6526 | 0.4261 | 0.5156 | 0.9583 |
| 0.1162 | 2.0 | 2624 | 0.1300 | 0.6862 | 0.4603 | 0.5510 | 0.9614 |
| 0.089 | 3.0 | 3936 | 0.1375 | 0.6953 | 0.4630 | 0.5559 | 0.9619 |
| 0.0698 | 4.0 | 5248 | 0.1507 | 0.6860 | 0.4888 | 0.5708 | 0.9623 |
| 0.0559 | 5.0 | 6560 | 0.1600 | 0.6808 | 0.4937 | 0.5724 | 0.9623 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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