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roberta-base-mrpc-glue
SSM10/roberta-base-mrpc-glue
roberta-base-mrpc-glue is a text classification model from SSM10. Use it when you need a label for a piece of text. 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
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- 1ef92348
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Base models
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-mrpc-glue
This model is a fine-tuned version of roberta-base on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
- Loss: 0.3949
- Accuracy: 0.8529
- F1: 0.8966
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5289 | 1.0893 | 500 | 0.3949 | 0.8529 | 0.8966 |
| 0.3665 | 2.1786 | 1000 | 0.4265 | 0.8505 | 0.8856 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024