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afro-xlmr-base-igbo-5e-5
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: 0.2370
- Precision: 0.7408
- Recall: 0.5481
- F1: 0.6301
- Accuracy: 0.9291
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 |
|---|---|---|---|---|---|---|---|
| 0.2342 | 1.0 | 1257 | 0.2413 | 0.7702 | 0.3854 | 0.5138 | 0.9161 |
| 0.1905 | 2.0 | 2514 | 0.2314 | 0.7796 | 0.4461 | 0.5675 | 0.9226 |
| 0.1526 | 3.0 | 3771 | 0.2201 | 0.7651 | 0.5029 | 0.6069 | 0.9273 |
| 0.1263 | 4.0 | 5028 | 0.2184 | 0.7486 | 0.5332 | 0.6228 | 0.9287 |
| 0.1053 | 5.0 | 6285 | 0.2370 | 0.7408 | 0.5481 | 0.6301 | 0.9291 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
