modernbert-banking77
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: 1.1061
- F1: 0.7151
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: 16
- 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 |
|---|---|---|---|---|
| 3.1629 | 1.0 | 63 | 2.8355 | 0.3096 |
| 0.6952 | 2.0 | 126 | 1.5412 | 0.6538 |
| 0.2033 | 3.0 | 189 | 1.2692 | 0.6692 |
| 0.0118 | 4.0 | 252 | 1.1106 | 0.7039 |
| 0.0029 | 5.0 | 315 | 1.1061 | 0.7151 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for sergiopaniego/modernbert-banking77
Base model
answerdotai/ModernBERT-base