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: 0.7974
- F1: 0.8946
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: 4
- 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 |
|---|---|---|---|---|
| 0.0581 | 1.0 | 113 | 1.1200 | 0.8636 |
| 0.1466 | 2.0 | 226 | 0.9247 | 0.8918 |
| 0.0279 | 3.0 | 339 | 0.8111 | 0.8946 |
| 0.0131 | 4.0 | 452 | 0.7964 | 0.8946 |
| 0.0046 | 5.0 | 565 | 0.7974 | 0.8946 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Inference Providers
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Model tree for ashield-ai/domain-classifier
Base model
answerdotai/ModernBERT-base