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--- |
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library_name: transformers |
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base_model: scratch |
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tags: |
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- mnist |
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- handwritten-digits |
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- image-classification |
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- pytorch |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: mnist-digit-recognition |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mnist-digit-recognition |
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This model is a fine-tuned version of [scratch](https://huggingface.co/scratch) on the mnist dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0181 |
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- Accuracy: 0.9943 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 128 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0684 | 1.0 | 422 | 0.0517 | 0.9853 | |
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| 0.0451 | 2.0 | 844 | 0.0343 | 0.9888 | |
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| 0.039 | 3.0 | 1266 | 0.0289 | 0.9907 | |
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| 0.0296 | 4.0 | 1688 | 0.0280 | 0.9917 | |
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| 0.0242 | 5.0 | 2110 | 0.0264 | 0.9918 | |
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### Framework versions |
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- Transformers 4.50.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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