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