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bert-base-uncased-finetuned-cola-new-model
Gulce/bert-base-uncased-finetuned-cola-new-model
bert-base-uncased-finetuned-cola-new-model is a machine learning model from Gulce. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 7, 2023
Repo size
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At a glance
- Access
- Public
- Created
- May 7, 2023
- Updated
- May 7, 2023
- SHA
- 1b051492
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-new-model
This model is a fine-tuned version of on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6345
- Matthews Correlation: 0.1616
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: 1.470498073954888e-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 |
|---|---|---|---|---|
| 0.6336 | 1.0 | 535 | 0.6297 | 0.0 |
| 0.6148 | 2.0 | 1070 | 0.6265 | 0.0137 |
| 0.6037 | 3.0 | 1605 | 0.6326 | 0.0297 |
| 0.5608 | 4.0 | 2140 | 0.6345 | 0.1616 |
| 0.5362 | 5.0 | 2675 | 0.6488 | 0.0712 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Created
- May 7, 2023
- Updated
- May 7, 2023