modernbert-CGEdit-AAE_sv3_d3_final
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9272
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 |
|---|---|---|---|
| 3.7300 | 1.0 | 152 | 0.9321 |
| 3.7185 | 2.0 | 304 | 0.9307 |
| 3.7013 | 3.0 | 456 | 0.9294 |
| 3.6962 | 4.0 | 608 | 0.9297 |
| 3.6019 | 5.0 | 760 | 0.9298 |
| 3.6561 | 6.0 | 912 | 0.9297 |
| 3.6522 | 7.0 | 1064 | 0.9291 |
| 3.6127 | 8.0 | 1216 | 0.9294 |
| 3.5965 | 9.0 | 1368 | 0.9279 |
| 3.5150 | 10.0 | 1520 | 0.9278 |
| 3.6231 | 11.0 | 1672 | 0.9280 |
| 3.5786 | 12.0 | 1824 | 0.9274 |
| 3.6104 | 13.0 | 1976 | 0.9281 |
| 3.5895 | 14.0 | 2128 | 0.9276 |
| 3.5172 | 15.0 | 2280 | 0.9274 |
| 3.6367 | 16.0 | 2432 | 0.9276 |
| 3.6046 | 17.0 | 2584 | 0.9274 |
| 3.5938 | 18.0 | 2736 | 0.9273 |
| 3.5756 | 19.0 | 2888 | 0.9273 |
| 3.5059 | 20.0 | 3040 | 0.9271 |
| 3.5772 | 21.0 | 3192 | 0.9273 |
| 3.5817 | 22.0 | 3344 | 0.9272 |
| 3.5915 | 23.0 | 3496 | 0.9272 |
| 3.5628 | 24.0 | 3648 | 0.9272 |
| 3.4553 | 25.0 | 3800 | 0.9272 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.22.1
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