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bert-fine-tuned-mrpc
shzamalam/bert-fine-tuned-mrpc
bert-fine-tuned-mrpc is a text classification model from shzamalam. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 15dd46ee
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Base models
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-fine-tuned-mrpc
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0278
- Accuracy: 0.8284
- F1: 0.8822
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 459 | 0.6219 | 0.7059 | 0.8209 |
| 0.6036 | 2.0 | 918 | 0.4933 | 0.7843 | 0.8445 |
| 0.4976 | 3.0 | 1377 | 0.6355 | 0.7966 | 0.8663 |
| 0.3875 | 4.0 | 1836 | 0.6229 | 0.8211 | 0.8773 |
| 0.3369 | 5.0 | 2295 | 0.6123 | 0.8333 | 0.8815 |
| 0.2087 | 6.0 | 2754 | 0.7300 | 0.8431 | 0.8873 |
| 0.1087 | 7.0 | 3213 | 0.9699 | 0.8235 | 0.8788 |
| 0.0751 | 8.0 | 3672 | 1.0057 | 0.8284 | 0.8826 |
| 0.0376 | 9.0 | 4131 | 1.0077 | 0.8333 | 0.8844 |
| 0.0466 | 10.0 | 4590 | 1.0278 | 0.8284 | 0.8822 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 28, 2025
- Updated
- May 28, 2025