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bert-uncased-P6
jonathandurand25/bert-uncased-P6
bert-uncased-P6 is a text classification model from jonathandurand25. 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
- Jul 26, 2025
- Updated
- Jul 26, 2025
- SHA
- cf300bcc
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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-uncased-P6
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2211
- F1: 0.9209
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 25 | 1.3629 | 0.6024 |
| No log | 2.0 | 50 | 0.6821 | 0.8775 |
| No log | 3.0 | 75 | 0.3291 | 0.9202 |
| 0.849 | 4.0 | 100 | 0.2569 | 0.9077 |
| 0.849 | 5.0 | 125 | 0.2211 | 0.9209 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 26, 2025
- Updated
- Jul 26, 2025