Class: Trainers::PrinterCallback
Overview
Default callback: prints training progress to stdout
Instance Method Summary
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#on_evaluate(args, state, control, metrics: nil, **kwargs) ⇒ Object
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#on_log(args, state, control, logs: nil, **kwargs) ⇒ Object
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#on_train_begin(args, state, control, **kwargs) ⇒ Object
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#on_train_end(args, state, control, **kwargs) ⇒ Object
#on_epoch_begin, #on_epoch_end, #on_save, #on_step_begin, #on_step_end
Instance Method Details
#on_evaluate(args, state, control, metrics: nil, **kwargs) ⇒ Object
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# File 'lib/trainers/callbacks.rb', line 63
def on_evaluate(args, state, control, metrics: nil, **kwargs)
return unless metrics
output = metrics.map { |k, v| "#{k}: #{format_value(v)}" }.join(" ")
puts "[eval step #{state.global_step}] #{output}"
end
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#on_log(args, state, control, logs: nil, **kwargs) ⇒ Object
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# File 'lib/trainers/callbacks.rb', line 49
def on_log(args, state, control, logs: nil, **kwargs)
return unless logs
output = logs.map { |k, v| "#{k}: #{format_value(v)}" }.join(" ")
puts "[step #{state.global_step}] #{output}"
end
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#on_train_begin(args, state, control, **kwargs) ⇒ Object
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# File 'lib/trainers/callbacks.rb', line 55
def on_train_begin(args, state, control, **kwargs)
puts "Starting training: #{state.num_train_epochs} epochs, #{state.max_steps} total steps"
end
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#on_train_end(args, state, control, **kwargs) ⇒ Object
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# File 'lib/trainers/callbacks.rb', line 59
def on_train_end(args, state, control, **kwargs)
puts "Training complete. Total steps: #{state.global_step}"
end
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