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bert-all-fakern
stegostegosaur/bert-all-fakern
bert-all-fakern is a text classification model from stegostegosaur. 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
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- 05f9a745
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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-all-fakern
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: 0.1829
- Accuracy: 0.9376
- F1: 0.9376
- Precision: 0.9394
- Recall: 0.9376
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2437 | 1.0 | 5281 | 0.1960 | 0.9276 | 0.9276 | 0.9281 | 0.9276 |
| 0.2238 | 2.0 | 10562 | 0.1768 | 0.9350 | 0.9350 | 0.9356 | 0.9350 |
| 0.1848 | 3.0 | 15843 | 0.1970 | 0.9342 | 0.9342 | 0.9362 | 0.9342 |
| 0.2146 | 4.0 | 21124 | 0.1849 | 0.9369 | 0.9369 | 0.9388 | 0.9369 |
| 0.1829 | 5.0 | 26405 | 0.1829 | 0.9376 | 0.9376 | 0.9394 | 0.9376 |
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
- Jun 16, 2025
- Updated
- Jun 16, 2025