modernbert-CGEdit-AAE_masis_cg_final
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8603
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 |
|---|---|---|---|
| 3.4890 | 1.0 | 93 | 0.8729 |
| 3.4652 | 2.0 | 186 | 0.8685 |
| 3.4581 | 3.0 | 279 | 0.8657 |
| 3.4390 | 4.0 | 372 | 0.8657 |
| 3.4375 | 5.0 | 465 | 0.8644 |
| 3.4375 | 6.0 | 558 | 0.8616 |
| 3.4379 | 7.0 | 651 | 0.8617 |
| 3.4348 | 8.0 | 744 | 0.8607 |
| 3.4379 | 9.0 | 837 | 0.8605 |
| 3.3159 | 10.0 | 930 | 0.8613 |
| 3.4390 | 11.0 | 1023 | 0.8601 |
| 3.4221 | 12.0 | 1116 | 0.8602 |
| 3.4298 | 13.0 | 1209 | 0.8603 |
| 3.4055 | 14.0 | 1302 | 0.8602 |
| 3.4061 | 15.0 | 1395 | 0.8605 |
| 3.3988 | 16.0 | 1488 | 0.8603 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.22.1
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