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modernbert-CGEdit-AAEens3_final
SociauxLing/modernbert-CGEdit-AAEens3_final
modernbert-CGEdit-AAEens3_final is a feature extraction model from SociauxLing. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- multitask_modernbert
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 16, 2026
- SHA
- 1814d25b
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
modernbert-CGEdit-AAEens3_final
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9248
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 |
|---|---|---|---|
| 3.7277 | 1.0 | 121 | 0.9311 |
| 3.7164 | 2.0 | 242 | 0.9295 |
| 3.7158 | 3.0 | 363 | 0.9286 |
| 3.7201 | 4.0 | 484 | 0.9284 |
| 3.6646 | 5.0 | 605 | 0.9274 |
| 3.6613 | 6.0 | 726 | 0.9280 |
| 3.6436 | 7.0 | 847 | 0.9282 |
| 3.6323 | 8.0 | 968 | 0.9269 |
| 3.6019 | 9.0 | 1089 | 0.9260 |
| 3.4985 | 10.0 | 1210 | 0.9261 |
| 3.6265 | 11.0 | 1331 | 0.9251 |
| 3.5818 | 12.0 | 1452 | 0.9251 |
| 3.6067 | 13.0 | 1573 | 0.9252 |
| 3.6003 | 14.0 | 1694 | 0.9252 |
| 3.6067 | 15.0 | 1815 | 0.9251 |
| 3.6046 | 16.0 | 1936 | 0.9247 |
| 3.5877 | 17.0 | 2057 | 0.9248 |
| 3.5848 | 18.0 | 2178 | 0.9247 |
| 3.6011 | 19.0 | 2299 | 0.9247 |
| 3.5199 | 20.0 | 2420 | 0.9248 |
| 3.6095 | 21.0 | 2541 | 0.9248 |
| 3.6102 | 22.0 | 2662 | 0.9247 |
| 3.6265 | 23.0 | 2783 | 0.9248 |
| 3.6060 | 24.0 | 2904 | 0.9247 |
| 3.5859 | 25.0 | 3025 | 0.9247 |
| 3.5986 | 26.0 | 3146 | 0.9247 |
| 3.5762 | 27.0 | 3267 | 0.9248 |
| 3.6020 | 28.0 | 3388 | 0.9247 |
| 3.5988 | 29.0 | 3509 | 0.9248 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.22.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- multitask_modernbert
- Created
- May 16, 2026
- Updated
- May 16, 2026