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GWW-finetuned-cola
dunlp/GWW-finetuned-cola
GWW-finetuned-cola is a text classification model from dunlp. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 21, 2022
- Updated
- Jun 21, 2022
- SHA
- 10889c75
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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. -->
GWW-finetuned-cola
This model is a fine-tuned version of dunlp/GWW on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6609
- Matthews Correlation: 0.1696
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 |
|---|---|---|---|---|
| 0.6181 | 1.0 | 535 | 0.6585 | 0.0 |
| 0.5938 | 2.0 | 1070 | 0.6276 | 0.0511 |
| 0.5241 | 3.0 | 1605 | 0.6609 | 0.1696 |
| 0.4433 | 4.0 | 2140 | 0.8239 | 0.1432 |
| 0.3492 | 5.0 | 2675 | 0.9236 | 0.1351 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 21, 2022
- Updated
- Jun 21, 2022