[devops] bump version-number to 1.0.0rc5

[ourownstory]

🔬 Background

• Why is this change needed? Is there a related issue or a new feature to be added?

🔮 Key changes

• Explain the main changes introduced by this pull request for the reviewer.

📋 Review Checklist

• I have performed a self-review of my own code.
• I have commented my code, added docstrings and data types to function definitions.
• I have added pytests to check whether my feature / fix works.

Please make sure to follow our best practices in the Contributing guidelines.

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
YosemiteTemps	MAE_val	1.34899	1.349	0.0%	✅
YosemiteTemps	RMSE_val	2.00817	2.00817	0.0%	✅
YosemiteTemps	Loss_val	0.00078	0.00078	0.0%	✅
YosemiteTemps	MAE	1.32133	1.32133	-0.0%	✅
YosemiteTemps	RMSE	2.13713	2.13713	0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	-0.0%	✅
YosemiteTemps	time	70.3375	97.29	38.32%	❌
PeytonManning	MAE_val	0.58162	0.58162	0.0%	✅
PeytonManning	RMSE_val	0.72218	0.72218	0.0%	✅
PeytonManning	Loss_val	0.01239	0.01239	0.0%	✅
PeytonManning	MAE	0.41671	0.41671	0.0%	✅
PeytonManning	RMSE	0.55961	0.55961	-0.0%	✅
PeytonManning	Loss	0.00612	0.00612	0.0%	✅
PeytonManning	time	15.7627	21.39	35.7%	❌
AirPassengers	MAE_val	13.0627	13.0627	-0.0%	✅
AirPassengers	RMSE_val	15.9453	15.9453	-0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	-0.0%	✅
AirPassengers	MAE	9.88153	9.88153	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	6.31538	8.67	37.28%	❌

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers