Model Performance Metrics
Training Parameters
{'max_length': '40', 'num_epochs': '3', 'image_size': '[1344, 896]', 'learning_rate': '1e-05', 'model_name': 'naver-clova-ix/donut-base'}
Training Results
- Final Training Loss: 0.2364
- Average Loss per Epoch: [0.27357653977342267, 0.27357653977342267, 0.27357653977342267]
Evaluation Results
- Mean Accuracy: 0.8381
- Number of evaluated samples: 105.0
MLflow Experiment Details
- Run ID: 426def82555940048815e1682ceda8d8
- Experiment Name: 0
Last Updated
2025-01-10 23:08:29
Learning Curves
You can find detailed learning curves and metrics in MLflow UI by running:
mlflow ui
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