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KinyaBERT-large-finetuned-kintweets
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: 4.3823
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 |
|---|---|---|---|
| 4.444 | 1.0 | 90 | 4.2183 |
| 4.1477 | 2.0 | 180 | 4.1509 |
| 4.0191 | 3.0 | 270 | 4.1733 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
