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filtered_no_delete_5e-5_hausa
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: 0.2470
- Precision: 0.4050
- Recall: 0.3233
- F1: 0.3596
- Accuracy: 0.9272
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 |
|---|---|---|---|---|---|---|---|
| 0.2203 | 1.0 | 730 | 0.1998 | 0.3794 | 0.1451 | 0.2099 | 0.9315 |
| 0.1923 | 2.0 | 1460 | 0.2045 | 0.4163 | 0.2429 | 0.3068 | 0.9311 |
| 0.1514 | 3.0 | 2190 | 0.2097 | 0.4373 | 0.2365 | 0.3070 | 0.9329 |
| 0.1355 | 4.0 | 2920 | 0.2284 | 0.4276 | 0.2802 | 0.3386 | 0.9310 |
| 0.1019 | 5.0 | 3650 | 0.2470 | 0.4050 | 0.3233 | 0.3596 | 0.9272 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
