answerdotai-ModernBERT-basezijiewang-atomic.train.no.negation.true.irrelevant1e-06-64
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: 0.4223
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: 1e-06
- train_batch_size: 64
- eval_batch_size: 256
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5033 | 1.0 | 3177 | 0.5081 |
| 0.4666 | 2.0 | 6354 | 0.4736 |
| 0.4397 | 3.0 | 9531 | 0.4529 |
| 0.4242 | 4.0 | 12708 | 0.4431 |
| 0.4033 | 5.0 | 15885 | 0.4343 |
| 0.3992 | 6.0 | 19062 | 0.4322 |
| 0.3843 | 7.0 | 22239 | 0.4281 |
| 0.3857 | 8.0 | 25416 | 0.4201 |
| 0.3637 | 9.0 | 28593 | 0.4301 |
| 0.3648 | 10.0 | 31770 | 0.4226 |
| 0.3424 | 11.0 | 34947 | 0.4223 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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