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Fadri
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mnist-digit-recognition

Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
mnist
handwritten-digits
Generated from Trainer
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Fadri commited on
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End of training

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Files changed (5) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Apr29_15-16-35_ip-10-192-12-206/events.out.tfevents.1745939796.ip-10-192-12-206.175451.0 +3 -0
  4. runs/Apr29_15-16-35_ip-10-192-12-206/events.out.tfevents.1745939919.ip-10-192-12-206.175451.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.9944
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.0687 | 1.0 | 422 | 0.0502 | 0.9857 |
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- | 0.0455 | 2.0 | 844 | 0.0347 | 0.989 |
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- | 0.0391 | 3.0 | 1266 | 0.0295 | 0.9907 |
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- | 0.0299 | 4.0 | 1688 | 0.0281 | 0.9918 |
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- | 0.0242 | 5.0 | 2110 | 0.0264 | 0.9915 |
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  ### Framework versions
 
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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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  | 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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