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finetuned-bert-1k
Emma92/finetuned-bert-1k
finetuned-bert-1k is a text classification model from Emma92. 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
- Sep 16, 2023
- Updated
- Jul 24, 2025
- SHA
- a9fcf92f
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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. -->
finetuned-bert-1k
This model is a fine-tuned version of bert-base-cased on an publically available ham and spam email dataset. It achieves the following results on the training set:
- Loss: 0.0192
- Accuracy: 0.9970
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3058 | 1.0 | 63 | 0.0904 | 0.9782 |
| 0.0876 | 2.0 | 126 | 0.0659 | 0.9841 |
| 0.031 | 3.0 | 189 | 0.0192 | 0.9970 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 16, 2023
- Updated
- Jul 24, 2025