Downloads · 30 days
4
24% of all-time downloads
distilbert-base-product-related
junmeng-sf/distilbert-base-product-related
distilbert-base-product-related is a text classification model from junmeng-sf. Use it when you need a label for a piece of text. 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. --
All-time downloads
17
Public
Parameters
67M
812 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors271 MB · 100%
At a glance
- Task
- Text Classification
- Library
- peft
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- ad15d9d3
Try a prompt
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-product-related
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: 0.0662
- Accuracy: 0.9813
- Precision: 0.9733
- Recall: 0.9904
- F1: 0.9818
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 |
|---|---|---|---|---|---|---|---|
| 0.1412 | 1.0 | 3360 | 0.0914 | 0.9690 | 0.9586 | 0.9816 | 0.9700 |
| 0.0596 | 2.0 | 6720 | 0.0699 | 0.9798 | 0.9708 | 0.9901 | 0.9804 |
| 0.0702 | 3.0 | 10080 | 0.0662 | 0.9813 | 0.9733 | 0.9904 | 0.9818 |
Framework versions
- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- peft
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025