End of training

README.md

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+---
+library_name: transformers
+base_model: scratch
+tags:
+- mnist
+- handwritten-digits
+- image-classification
+- pytorch
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mnist-digit-recognition
+  results: []
+---
+
+<!-- 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. -->
+
+# mnist-digit-recognition
+
+This model is a fine-tuned version of [scratch](https://huggingface.co/scratch) on the mnist dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0181
+- Accuracy: 0.9946
+
+## 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: 0.0003
+- train_batch_size: 128
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0684        | 1.0   | 422  | 0.0507          | 0.985    |
+| 0.0448        | 2.0   | 844  | 0.0355          | 0.9885   |
+| 0.0389        | 3.0   | 1266 | 0.0288          | 0.9908   |
+| 0.0299        | 4.0   | 1688 | 0.0277          | 0.9917   |
+| 0.0243        | 5.0   | 2110 | 0.0262          | 0.9922   |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

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