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bert-mrpc-model
ahmed-hany43/bert-mrpc-model
bert-mrpc-model is a machine learning model from ahmed-hany43. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- f5fdb6b7
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-mrpc-model
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9602
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: 0.0002
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 0.5781 |
| No log | 2.0 | 460 | 0.5734 |
| 0.5532 | 3.0 | 690 | 0.6842 |
| 0.5532 | 4.0 | 920 | 0.8211 |
| 0.295 | 5.0 | 1150 | 0.9071 |
| 0.295 | 6.0 | 1380 | 0.9602 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.13.0+cpu
- Datasets 5.0.0
- Tokenizers 0.19.1
- Type
- bert
- License
- mit
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026