ModernBERT-largemhr2004-atomic-neg-bal1e-06-64
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3867
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: 256
- eval_batch_size: 1024
- 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 |
|---|---|---|---|
| 0.5253 | 1.0 | 795 | 0.5324 |
| 0.4545 | 2.0 | 1590 | 0.4699 |
| 0.4451 | 3.0 | 2385 | 0.4393 |
| 0.4199 | 4.0 | 3180 | 0.4308 |
| 0.3842 | 5.0 | 3975 | 0.4187 |
| 0.3744 | 6.0 | 4770 | 0.4084 |
| 0.3729 | 7.0 | 5565 | 0.4017 |
| 0.3601 | 8.0 | 6360 | 0.3982 |
| 0.3369 | 9.0 | 7155 | 0.3916 |
| 0.302 | 10.0 | 7950 | 0.3928 |
| 0.3333 | 11.0 | 8745 | 0.3869 |
| 0.3234 | 12.0 | 9540 | 0.3851 |
| 0.3051 | 13.0 | 10335 | 0.3860 |
| 0.2831 | 14.0 | 11130 | 0.3883 |
| 0.2838 | 15.0 | 11925 | 0.3867 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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