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politeness_classifier
nicodebtno/politeness_classifier
politeness_classifier is a text classification model from nicodebtno. 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 3, 2025
- Updated
- Apr 4, 2025
- SHA
- 5d47a3f1
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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. -->
politeness_classifier
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: 0.0069
- Mse: 0.0069
- Mae: 0.0638
- Pearson: 0.7640
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Pearson |
|---|---|---|---|---|---|---|
| No log | 1.0 | 218 | 0.0078 | 0.0078 | 0.0676 | 0.7169 |
| No log | 2.0 | 436 | 0.0077 | 0.0077 | 0.0674 | 0.7576 |
| 0.0116 | 3.0 | 654 | 0.0069 | 0.0069 | 0.0638 | 0.7640 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 3, 2025
- Updated
- Apr 4, 2025