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ami-addressee-distilbert
ACloudCenter/ami-addressee-distilbert
ami-addressee-distilbert is a text classification model from ACloudCenter. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 21, 2026
- SHA
- 9ba8b225
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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. -->
ami-addressee-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3827
- Auc: 0.9268
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Auc |
|---|---|---|---|---|
| 0.2603 | 1.0 | 898 | 0.3613 | 0.9199 |
| 0.2435 | 2.0 | 1796 | 0.3718 | 0.9293 |
| 0.2624 | 3.0 | 2694 | 0.3827 | 0.9268 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.14.0+cu130
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 20, 2026
- Updated
- Sep 21, 2026