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bert-matching
Kenazin/bert-matching
bert-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
- bert
- Access
- Public
- Created
- May 31, 2025
- Updated
- May 31, 2025
- SHA
- 9ca353c8
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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. -->
bert-matching
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2914
- Precision: 0.8082
- Recall: 0.6782
- F1: 0.7375
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 |
|---|---|---|---|---|---|---|
| 0.4114 | 1.0 | 185 | 0.3650 | 0.2857 | 0.0077 | 0.0149 |
| 0.3245 | 2.0 | 370 | 0.2764 | 0.7457 | 0.4943 | 0.5945 |
| 0.2541 | 3.0 | 555 | 0.2453 | 0.6235 | 0.8123 | 0.7055 |
| 0.2104 | 4.0 | 740 | 0.2520 | 0.6339 | 0.8161 | 0.7136 |
| 0.1772 | 5.0 | 925 | 0.2294 | 0.7811 | 0.6973 | 0.7368 |
| 0.1558 | 6.0 | 1110 | 0.2349 | 0.7649 | 0.7356 | 0.75 |
| 0.1444 | 7.0 | 1295 | 0.2626 | 0.7965 | 0.6897 | 0.7392 |
| 0.1331 | 8.0 | 1480 | 0.2692 | 0.7755 | 0.7280 | 0.7510 |
| 0.1263 | 9.0 | 1665 | 0.2829 | 0.7957 | 0.7011 | 0.7454 |
| 0.1194 | 10.0 | 1850 | 0.2914 | 0.8082 | 0.6782 | 0.7375 |
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
- bert
- License
- apache-2.0
- Created
- May 31, 2025
- Updated
- May 31, 2025