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bert-base-uncased-nvidia-aegis-v1
leomaurodesenv/bert-base-uncased-nvidia-aegis-v1
bert-base-uncased-nvidia-aegis-v1 is a text classification model from leomaurodesenv. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 22, 2026
- Updated
- Oct 4, 2026
- SHA
- a1d19bd8
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Base models
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. -->
roberta-base-nvidia-aegis-v2-augmented
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3024
- Accuracy: 0.8641
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8899 | 1.0 | 8402 | 0.3951 | 0.8203 |
| 0.6200 | 2.0 | 16804 | 0.3022 | 0.8641 |
| 0.3284 | 3.0 | 25206 | 0.3214 | 0.8842 |
| 0.5113 | 4.0 | 33608 | 0.3084 | 0.8913 |
| 0.3520 | 5.0 | 42010 | 0.3061 | 0.8997 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 22, 2026
- Updated
- Oct 4, 2026