ModernBERT-domain-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: 0.7062
- F1: 0.8819
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: 8
- 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 |
|---|---|---|---|---|
| 1.295 | 1.0 | 113 | 1.0131 | 0.7795 |
| 0.3803 | 2.0 | 226 | 0.6424 | 0.8428 |
| 0.1732 | 3.0 | 339 | 0.5776 | 0.8954 |
| 0.031 | 4.0 | 452 | 0.6917 | 0.8819 |
| 0.012 | 5.0 | 565 | 0.7062 | 0.8819 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 3.1.0
- Tokenizers 0.21.4
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Model tree for aquiro1994/ModernBERT-domain-classifier
Base model
answerdotai/ModernBERT-base