modernbert-CGEdit-Silver-AAE_final
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9611
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8575 | 1.0 | 134 | 1.9655 |
| 1.8445 | 2.0 | 268 | 1.9637 |
| 1.8410 | 3.0 | 402 | 1.9629 |
| 1.8142 | 4.0 | 536 | 1.9628 |
| 1.8608 | 5.0 | 670 | 1.9627 |
| 1.8167 | 6.0 | 804 | 1.9634 |
| 1.8235 | 7.0 | 938 | 1.9616 |
| 1.8266 | 8.0 | 1072 | 1.9618 |
| 1.8339 | 9.0 | 1206 | 1.9616 |
| 1.8008 | 10.0 | 1340 | 1.9617 |
| 1.7962 | 11.0 | 1474 | 1.9604 |
| 1.7811 | 12.0 | 1608 | 1.9611 |
| 1.8003 | 13.0 | 1742 | 1.9610 |
| 1.8431 | 14.0 | 1876 | 1.9613 |
| 1.8211 | 15.0 | 2010 | 1.9610 |
| 1.8271 | 16.0 | 2144 | 1.9611 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.22.1
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