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distilbert-base-category-classifier
junmeng-sf/distilbert-base-category-classifier
distilbert-base-category-classifier is a machine learning model from junmeng-sf. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- 183b9796
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. -->
distilbert-base-category-classifier
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: 0.1482
- Accuracy: 0.9518
- Precision: 0.9514
- Recall: 0.9518
- F1: 0.9515
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.5032 | 1.0 | 1342 | 0.2337 | 0.9277 | 0.9265 | 0.9277 | 0.9267 |
| 0.1954 | 2.0 | 2684 | 0.1623 | 0.9490 | 0.9487 | 0.9490 | 0.9487 |
| 0.154 | 3.0 | 4026 | 0.1482 | 0.9518 | 0.9514 | 0.9518 | 0.9515 |
Framework versions
- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- peft
- License
- apache-2.0
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025