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: 1.2549
- F1: 0.6470
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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 | 26 | 2.1722 | 0.3414 |
| No log | 2.0 | 52 | 1.7540 | 0.5143 |
| No log | 3.0 | 78 | 1.3902 | 0.5678 |
| 1.5902 | 4.0 | 104 | 1.2446 | 0.6008 |
| 1.5902 | 5.0 | 130 | 1.2549 | 0.6470 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for fdaudens/ModernBERT-domain-classifier
Base model
answerdotai/ModernBERT-base