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afro-xlmr-base-hausa-seed-10
This model is a fine-tuned version of Davlan/afro-xlmr-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1686
- Precision: 0.7249
- Recall: 0.5658
- F1: 0.6355
- Accuracy: 0.9588
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 |
|---|---|---|---|---|---|---|---|
| 0.155 | 1.0 | 1312 | 0.1464 | 0.6649 | 0.5109 | 0.5778 | 0.9521 |
| 0.1212 | 2.0 | 2624 | 0.1458 | 0.6927 | 0.5467 | 0.6111 | 0.9551 |
| 0.0934 | 3.0 | 3936 | 0.1482 | 0.7429 | 0.5430 | 0.6274 | 0.9589 |
| 0.0738 | 4.0 | 5248 | 0.1535 | 0.7248 | 0.5661 | 0.6357 | 0.9589 |
| 0.0554 | 5.0 | 6560 | 0.1686 | 0.7249 | 0.5658 | 0.6355 | 0.9588 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
