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bert-relevance-classifier
1erotrader/bert-relevance-classifier
bert-relevance-classifier is a text classification model from 1erotrader. 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
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 5398f409
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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-relevance-classifier
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2526
- Accuracy: 0.898
- Auc: N/A
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.367 | 1.0 | 627 | 0.3122 | 0.851 | N/A |
| 0.326 | 2.0 | 1254 | 0.2637 | 0.889 | N/A |
| 0.314 | 3.0 | 1881 | 0.2688 | 0.888 | N/A |
| 0.3106 | 4.0 | 2508 | 0.2499 | 0.902 | N/A |
| 0.2994 | 5.0 | 3135 | 0.2667 | 0.899 | N/A |
| 0.2984 | 6.0 | 3762 | 0.2515 | 0.9 | N/A |
| 0.29 | 7.0 | 4389 | 0.2524 | 0.903 | N/A |
| 0.2838 | 8.0 | 5016 | 0.2594 | 0.898 | N/A |
| 0.2793 | 9.0 | 5643 | 0.2501 | 0.9 | N/A |
| 0.278 | 10.0 | 6270 | 0.2526 | 0.898 | N/A |
Framework versions
- Transformers 4.51.3
- Pytorch 2.4.1.post100
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025