results
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1529
- F1: 0.9740
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.1426 | 1.0 | 384 | 0.2750 | 0.9427 |
0.0081 | 2.0 | 768 | 0.1529 | 0.9740 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.21.0
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Base model
answerdotai/ModernBERT-base