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bert-base-uncased
Sukanyan/bert-base-uncased
bert-base-uncased is a text classification model from Sukanyan. 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
- Mar 16, 2025
- Updated
- Jun 3, 2025
- SHA
- 519dc6d5
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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 bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9202
- Accuracy: 0.6305
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1539 | 1.0 | 283 | 0.9575 | 0.6171 |
| 0.8446 | 2.0 | 566 | 0.9014 | 0.6295 |
| 0.633 | 3.0 | 849 | 0.9166 | 0.6140 |
| 0.4869 | 4.0 | 1132 | 1.0269 | 0.6275 |
| 0.4417 | 5.0 | 1415 | 1.1037 | 0.6305 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.4.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 16, 2025
- Updated
- Jun 3, 2025