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roberta-base-finetuned-cola
nikuznetsov/roberta-base-finetuned-cola
roberta-base-finetuned-cola is a text classification model from nikuznetsov. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 8, 2022
- Updated
- May 8, 2022
- SHA
- dd52d7cb
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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. -->
roberta-base-finetuned-cola
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7832
- Matthews Correlation: 0.5880
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 |
|---|---|---|---|---|
| 0.5027 | 1.0 | 535 | 0.6017 | 0.4369 |
| 0.33 | 2.0 | 1070 | 0.5066 | 0.5521 |
| 0.2311 | 3.0 | 1605 | 0.6269 | 0.5727 |
| 0.1767 | 4.0 | 2140 | 0.7832 | 0.5880 |
| 0.1337 | 5.0 | 2675 | 0.9164 | 0.5880 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 8, 2022
- Updated
- May 8, 2022