27 lines
1.1 KiB
Markdown
27 lines
1.1 KiB
Markdown
>> Models
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how we manage our training W&B checkpoints? we need to clean up old checlpoints. for every model we keep 5 checkpoints maximum and rotate them. by default we always load te best, and during training when we save new we discard the 6th ordered by performance
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add integration of the checkpoint manager to all training pipelines
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skip creating examples or documentation by code. just make sure we use the manager when we run our main training pipeline (with the main dashboard/📊 Enhanced Web Dashboard/main.py)
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remove wandb integration from the training pipeline
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do we load the best model for each model type? or we do a cold start each time?
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>> UI
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we stopped showing executed trades on the chart. let's add them back
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update chart every second as well.
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>> Training
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how effective is our training? show current loss and accuracy on the chart. also show currently loaded models for each model type
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>> Training
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what are our rewards and penalties in the RL training pipeline? reprt them so we can evaluate them and make sure they are working as expected and do improvements
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