KinyaBERT-large-finetuned-kintweetsD
This model is a fine-tuned version of jean-paul/KinyaBERT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9089
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3565 | 1.0 | 900 | 4.0079 |
| 4.0632 | 2.0 | 1800 | 3.9009 |
| 3.9506 | 3.0 | 2700 | 3.8635 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3