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bert-base-uncased
jonathandurand25/bert-base-uncased
bert-base-uncased 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
- e428c004
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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-base-uncased
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: 0.0523
- F1: 0.9927
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 |
|---|---|---|---|---|
| 0.0418 | 1.0 | 479 | 0.0346 | 0.9897 |
| 0.0208 | 2.0 | 958 | 0.0429 | 0.9887 |
| 0.0052 | 3.0 | 1437 | 0.0724 | 0.9905 |
| 0.0013 | 4.0 | 1916 | 0.0508 | 0.9917 |
| 0.0001 | 5.0 | 2395 | 0.0523 | 0.9927 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 26, 2025
- Updated
- Jul 26, 2025