afr-modernbert-focal-lr-3e-5
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: 12.1927
- F1-micro: 0.4147
- F1-macro: 0.2326
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 31.575 | 1.0 | 62 | 10.4705 | 0.3622 | 0.2248 |
| 28.2222 | 2.0 | 124 | 10.9311 | 0.3798 | 0.2232 |
| 24.2743 | 3.0 | 186 | 11.5433 | 0.4336 | 0.2411 |
| 21.2132 | 4.0 | 248 | 12.1927 | 0.4147 | 0.2326 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
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Model tree for jaycentg/afr-modernbert-focal-lr-3e-5
Base model
answerdotai/ModernBERT-base