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SimpleCNN-mnist
EduardoPacheco/SimpleCNN-mnist
SimpleCNN-mnist is a machine learning model from EduardoPacheco. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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Updated Apr 23, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Apr 23, 2026
- Updated
- Apr 23, 2026
- SHA
- 754bd064
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. -->
SimpleCNN-mnist
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0726
- Accuracy: 0.9775
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: 0.001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1168 | 0.469 | 469 | 0.0998 | 0.9709 |
| 0.0912 | 1.4690 | 938 | 0.0751 | 0.9756 |
| 0.0759 | 2.062 | 1000 | 0.0726 | 0.9775 |
Framework versions
- Transformers 5.6.1
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Library
- transformers
- Created
- Apr 23, 2026
- Updated
- Apr 23, 2026