modern-bert-classifier
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: nan
- F1: 0.3150
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.0 | 1.0 | 48 | nan | 0.3150 |
0.0 | 2.0 | 96 | nan | 0.3150 |
0.0 | 3.0 | 144 | nan | 0.3150 |
0.0 | 4.0 | 192 | nan | 0.3150 |
0.0 | 5.0 | 240 | nan | 0.3150 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for fehrno/modern-bert-classifier
Base model
answerdotai/ModernBERT-base