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distilbert-base-uncased-finetuned-cola
kathleenkk23/distilbert-base-uncased-finetuned-cola
distilbert-base-uncased-finetuned-cola is a text classification model from kathleenkk23. 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
- distilbert
- Access
- Public
- Created
- Aug 11, 2025
- Updated
- Aug 13, 2025
- SHA
- 46596a46
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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. -->
distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0345
- Accuracy: 0.8130
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 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 | Accuracy |
|---|---|---|---|---|
| 0.1168 | 1.0 | 535 | 0.7213 | 0.7795 |
| 0.2222 | 2.0 | 1070 | 0.6551 | 0.8054 |
| 0.1564 | 3.0 | 1605 | 0.8472 | 0.8082 |
| 0.1055 | 4.0 | 2140 | 1.0309 | 0.8082 |
| 0.0793 | 5.0 | 2675 | 1.0345 | 0.8130 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu118
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 11, 2025
- Updated
- Aug 13, 2025