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distillbert-fine-tuned-matching
Kenazin/distillbert-fine-tuned-matching
distillbert-fine-tuned-matching is a text classification model from Kenazin. 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
- May 31, 2025
- Updated
- May 31, 2025
- SHA
- 4a26ae23
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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. -->
distillbert-fine-tuned-matching
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2727
- Precision: 0.7356
- Recall: 0.7356
- F1: 0.7356
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.4031 | 1.0 | 185 | 0.3403 | 1.0 | 0.0268 | 0.0522 |
| 0.3013 | 2.0 | 370 | 0.2569 | 0.7574 | 0.4904 | 0.5953 |
| 0.2381 | 3.0 | 555 | 0.2347 | 0.6877 | 0.7510 | 0.7179 |
| 0.202 | 4.0 | 740 | 0.2374 | 0.6811 | 0.7854 | 0.7295 |
| 0.1784 | 5.0 | 925 | 0.2296 | 0.7287 | 0.6897 | 0.7087 |
| 0.1597 | 6.0 | 1110 | 0.2401 | 0.7458 | 0.6743 | 0.7082 |
| 0.1417 | 7.0 | 1295 | 0.2499 | 0.7127 | 0.7318 | 0.7221 |
| 0.1372 | 8.0 | 1480 | 0.2684 | 0.7021 | 0.7586 | 0.7293 |
| 0.1302 | 9.0 | 1665 | 0.2707 | 0.7356 | 0.7356 | 0.7356 |
| 0.1148 | 10.0 | 1850 | 0.2727 | 0.7356 | 0.7356 | 0.7356 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 31, 2025
- Updated
- May 31, 2025