model_3
This model is a fine-tuned version of Davlan/afro-xlmr-large-61L on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3654
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9218 | 1.0 | 1453 | 1.6494 |
| 1.7438 | 2.0 | 2906 | 1.6273 |
| 1.6321 | 3.0 | 4359 | 1.5267 |
| 1.5142 | 4.0 | 5812 | 1.4903 |
| 1.4759 | 5.0 | 7265 | 1.4603 |
| 1.4138 | 6.0 | 8718 | 1.3933 |
| 1.3501 | 7.0 | 10171 | 1.4280 |
| 1.3373 | 8.0 | 11624 | 1.3632 |
| 1.298 | 9.0 | 13077 | 1.4296 |
| 1.2869 | 10.0 | 14530 | 1.3654 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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