End of training
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README.md
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: SimpleCNN-mnist
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results: []
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# SimpleCNN-mnist
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This model was trained from scratch on an unknown dataset.
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- training_steps:
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### Training results
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| Training Loss | Epoch
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-
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### Framework versions
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- Transformers 5.6.1
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- Pytorch 2.11.0
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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library_name: transformers
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tags:
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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: SimpleCNN-mnist
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results: []
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# SimpleCNN-mnist
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0726
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- Accuracy: 0.9775
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- training_steps: 1000
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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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| 0.1168 | 0.469 | 469 | 0.0998 | 0.9709 |
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| 0.0912 | 1.4690 | 938 | 0.0751 | 0.9756 |
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| 0.0759 | 2.062 | 1000 | 0.0726 | 0.9775 |
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### Framework versions
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- Transformers 5.6.1
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- Pytorch 2.11.0+cu130
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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