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: 0.3117
- F1: 0.9342
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: 7e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 15 | 0.6936 | 0.8593 |
| No log | 2.0 | 30 | 0.4958 | 0.8719 |
| No log | 3.0 | 45 | 0.3710 | 0.9093 |
| No log | 4.0 | 60 | 0.3575 | 0.8912 |
| No log | 5.0 | 75 | 0.3046 | 0.9366 |
| No log | 6.0 | 90 | 0.3042 | 0.9398 |
| 0.4101 | 7.0 | 105 | 0.3117 | 0.9342 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for esekeroglu/ModernBERT-domain-classifier
Base model
answerdotai/ModernBERT-base