modernbert-CGEdit-AAE_d30_final
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9240
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 3.7326 | 1.0 | 124 | 0.9317 |
| 3.6982 | 2.0 | 248 | 0.9289 |
| 3.7006 | 3.0 | 372 | 0.9297 |
| 3.6974 | 4.0 | 496 | 0.9268 |
| 3.6799 | 5.0 | 620 | 0.9270 |
| 3.6309 | 6.0 | 744 | 0.9260 |
| 3.6353 | 7.0 | 868 | 0.9251 |
| 3.6290 | 8.0 | 992 | 0.9262 |
| 3.5986 | 9.0 | 1116 | 0.9253 |
| 3.6048 | 10.0 | 1240 | 0.9255 |
| 3.5762 | 11.0 | 1364 | 0.9247 |
| 3.5965 | 12.0 | 1488 | 0.9244 |
| 3.6117 | 13.0 | 1612 | 0.9245 |
| 3.5740 | 14.0 | 1736 | 0.9240 |
| 3.5831 | 15.0 | 1860 | 0.9244 |
| 3.5801 | 16.0 | 1984 | 0.9241 |
| 3.5812 | 17.0 | 2108 | 0.9242 |
| 3.5825 | 18.0 | 2232 | 0.9241 |
| 3.6136 | 19.0 | 2356 | 0.9240 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.22.1
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