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my-bert-base-uncased-finetuned-CNN-cola-model
aysin/my-bert-base-uncased-finetuned-CNN-cola-model
my-bert-base-uncased-finetuned-CNN-cola-model is a machine learning model from aysin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 5, 2023
- Updated
- May 7, 2023
- SHA
- 5ba8607d
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. -->
bert-base-uncased-finetuned-cola
This model is a fine-tuned version of bert-base-uncased and CNN on the glue dataset.
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: 1.8141004193400237e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- dropout: 0.5979031154399792
- max_length: 32
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.57043 | 15.0 | - | - | 0.5233213 |
Average Training Accuracy: 72.0026% Average Validation Accuracy: 81.240%
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- License
- apache-2.0
- Created
- May 5, 2023
- Updated
- May 7, 2023