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distilbert-base-uncased-finetuned
tjacquot/distilbert-base-uncased-finetuned
distilbert-base-uncased-finetuned is a text classification model from tjacquot. 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
- Nov 21, 2025
- Updated
- Dec 5, 2025
- SHA
- 6551db17
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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. -->
distilbert-base-uncased-finetuned
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: 0.2464
- Precision: 0.9070
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: 64
- 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
- training_steps: 240
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision |
|---|---|---|---|---|
| 0.1861 | 0.1271 | 15 | 0.2213 | 0.8659 |
| 0.1501 | 0.2542 | 30 | 0.2142 | 0.8840 |
| 0.1318 | 0.3814 | 45 | 0.2203 | 0.8858 |
| 0.0817 | 0.5085 | 60 | 0.2223 | 0.9065 |
| 0.0942 | 0.6356 | 75 | 0.2393 | 0.9073 |
| 0.1185 | 0.7627 | 90 | 0.2445 | 0.8775 |
| 0.1045 | 0.8898 | 105 | 0.2338 | 0.9128 |
| 0.0629 | 1.0169 | 120 | 0.2471 | 0.9108 |
| 0.0671 | 1.1441 | 135 | 0.2416 | 0.9046 |
| 0.046 | 1.2712 | 150 | 0.2570 | 0.8950 |
| 0.0603 | 1.3983 | 165 | 0.2781 | 0.8787 |
| 0.049 | 1.5254 | 180 | 0.2670 | 0.9097 |
| 0.0816 | 1.6525 | 195 | 0.2550 | 0.9066 |
| 0.0712 | 1.7797 | 210 | 0.2494 | 0.9063 |
| 0.0796 | 1.9068 | 225 | 0.2468 | 0.9079 |
| 0.0939 | 2.0339 | 240 | 0.2464 | 0.9070 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 21, 2025
- Updated
- Dec 5, 2025