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distilbert-base-uncased-finetuned-cola
stuser2023/distilbert-base-uncased-finetuned-cola
distilbert-base-uncased-finetuned-cola is a text classification model from stuser2023. 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
- Nov 17, 2023
- Updated
- Aug 17, 2025
- SHA
- 6860048f
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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: 0.8804
- Matthews Correlation: 0.5452
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: 1.566459222815726e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 7
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4816 | 1.0 | 1069 | 0.4486 | 0.5097 |
| 0.343 | 2.0 | 2138 | 0.5412 | 0.5015 |
| 0.261 | 3.0 | 3207 | 0.7634 | 0.5330 |
| 0.1856 | 4.0 | 4276 | 0.8804 | 0.5452 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 17, 2023
- Updated
- Aug 17, 2025