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distilbert-base-uncased-finetuned-cola-2
Faith-nchifor/distilbert-base-uncased-finetuned-cola-2
distilbert-base-uncased-finetuned-cola-2 is a text classification model from Faith-nchifor. 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
- Jul 13, 2023
- Updated
- Jul 13, 2023
- SHA
- ffc588c4
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Datasets
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-2
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 4.0843
- Matthews Correlation: 0.1229
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 381 | 3.9140 | 0.1059 |
| 0.0791 | 2.0 | 762 | 4.4408 | 0.0927 |
| 0.0561 | 3.0 | 1143 | 3.5105 | 0.1140 |
| 0.041 | 4.0 | 1524 | 4.0843 | 0.1229 |
| 0.041 | 5.0 | 1905 | 4.4197 | 0.1194 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 13, 2023
- Updated
- Jul 13, 2023