afro-xlmr-base-ary-finetuned-augmentation-LUNAR
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: 0.3039
- F1: 0.5359
- Roc Auc: 0.7304
- Accuracy: 0.5105
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.3909 | 1.0 | 108 | 0.4005 | 0.0 | 0.5 | 0.2471 |
| 0.3379 | 2.0 | 216 | 0.3598 | 0.0617 | 0.5153 | 0.2727 |
| 0.3195 | 3.0 | 324 | 0.3172 | 0.2951 | 0.6014 | 0.4336 |
| 0.2657 | 4.0 | 432 | 0.3034 | 0.3616 | 0.6395 | 0.4848 |
| 0.2547 | 5.0 | 540 | 0.2844 | 0.4671 | 0.6847 | 0.5035 |
| 0.2004 | 6.0 | 648 | 0.2903 | 0.4405 | 0.6738 | 0.5012 |
| 0.1695 | 7.0 | 756 | 0.2880 | 0.4687 | 0.6886 | 0.5221 |
| 0.1317 | 8.0 | 864 | 0.3039 | 0.5359 | 0.7304 | 0.5105 |
| 0.112 | 9.0 | 972 | 0.3076 | 0.4946 | 0.6997 | 0.5198 |
| 0.1025 | 10.0 | 1080 | 0.3090 | 0.4987 | 0.7032 | 0.5058 |
| 0.0946 | 11.0 | 1188 | 0.3187 | 0.5202 | 0.7145 | 0.5221 |
| 0.0848 | 12.0 | 1296 | 0.3326 | 0.4990 | 0.7012 | 0.5198 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0