flipped_5e-5_igbo
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: 0.3125
- Precision: 0.3694
- Recall: 0.1838
- F1: 0.2455
- Accuracy: 0.8977
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 |
|---|---|---|---|---|---|---|---|
| 0.2975 | 1.0 | 1202 | 0.2816 | 0.2750 | 0.0578 | 0.0955 | 0.8990 |
| 0.2743 | 2.0 | 2404 | 0.2823 | 0.3149 | 0.0703 | 0.1149 | 0.9010 |
| 0.2415 | 3.0 | 3606 | 0.2842 | 0.3713 | 0.1375 | 0.2007 | 0.9007 |
| 0.2136 | 4.0 | 4808 | 0.3080 | 0.3688 | 0.1450 | 0.2082 | 0.8999 |
| 0.1904 | 5.0 | 6010 | 0.3125 | 0.3694 | 0.1838 | 0.2455 | 0.8977 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Base model
Davlan/afro-xlmr-base