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bert_base_retrained
AladeenPaul/bert_base_retrained
bert_base_retrained is a text classification model from AladeenPaul. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 20, 2026
- Updated
- Jan 20, 2026
- SHA
- 6d29e3bd
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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. -->
<YOUR_HUGGING_FACE_USERNAME>/bert-base
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0636
- eval_model_preparation_time: 0.0041
- eval_accuracy: 0.9831
- eval_runtime: 59.77
- eval_samples_per_second: 116.764
- eval_steps_per_second: 7.311
- step: 0
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: 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: 3
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 20, 2026
- Updated
- Jan 20, 2026