Default --data imagenette160 training (fastest)
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Signed-off-by: Glenn Jocher <[email protected]>
Signed-off-by: Glenn Jocher <[email protected]>
Signed-off-by: Glenn Jocher <[email protected]>
Signed-off-by: Glenn Jocher <[email protected]>
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Sep 8, 2022
* Default --data `imagenette160` training (fastest) Signed-off-by: Glenn Jocher <[email protected]> * Update train.py Signed-off-by: Glenn Jocher <[email protected]> * Update train.py Signed-off-by: Glenn Jocher <[email protected]> * Update train.py Signed-off-by: Glenn Jocher <[email protected]> Signed-off-by: Glenn Jocher <[email protected]>
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Signed-off-by: Glenn Jocher [email protected]
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Adjustment of default dataset and clarification on epoch argument in training scripts. 🎛️
📊 Key Changes
classify/train.pyfromcifar100toimagenette160.epochsargument in bothclassify/train.pyandtrain.pyto indicate it specifies the total training epochs.🎯 Purpose & Impact
epochsargument improves usability by making it clear to users what this parameter controls, potentially reducing confusion and errors when configuring training sessions.