swahili-prompt-classifier
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5086
- F1: 0.64
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.3745 | 0.64 |
| No log | 2.0 | 2 | 1.7889 | 0.64 |
| No log | 3.0 | 3 | 1.8015 | 0.64 |
| No log | 4.0 | 4 | 1.5985 | 0.64 |
| No log | 5.0 | 5 | 1.5086 | 0.64 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for Mollel/swahili-prompt-classifier
Base model
answerdotai/ModernBERT-base