ModernBERT-classifier-v0.1
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: 0.0002
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 21 | 0.0048 | 1.0 |
| No log | 2.0 | 42 | 0.0005 | 1.0 |
| No log | 3.0 | 63 | 0.0002 | 1.0 |
| No log | 4.0 | 84 | 0.0002 | 1.0 |
| No log | 5.0 | 105 | 0.0002 | 1.0 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Sohaib/ModernBERT-classifier-v0.1
Base model
answerdotai/ModernBERT-base