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  • I have performed a self-review of my own code.
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github-actions bot commented Mar 15, 2023

Model Benchmark

Benchmark Metric main current diff
AirPassengersBFGS MAE_val - 18.9926 -
AirPassengersBFGS RMSE_val - 23.2203 -
AirPassengersBFGS Loss_val - 0.0028 -
AirPassengersBFGS MAE - 6.3498 -
AirPassengersBFGS RMSE - 7.8142 -
AirPassengersBFGS Loss - 0.0002 -
AirPassengersBFGS time - 26.32 -
YosemiteTemps MAE_val 1.71298 18.9074 1003.77%
YosemiteTemps RMSE_val 2.26069 21.7646 862.74%
YosemiteTemps Loss_val 0.00095 0.08728 9062.98%
YosemiteTemps MAE 1.45187 17.9308 1135.02%
YosemiteTemps RMSE 2.16721 21.1658 876.64%
YosemiteTemps Loss 0.00066 0.06248 9411.61%
YosemiteTemps time 131.13218 104.07 -20.64% 🎉
PeytonManning MAE_val 0.58159 2.47694 325.89%
PeytonManning RMSE_val 0.72216 2.98224 312.96%
PeytonManning Loss_val 0.01239 0.20553 1558.37%
PeytonManning MAE 0.41671 2.16775 420.21%
PeytonManning RMSE 0.55961 2.85653 410.45%
PeytonManning Loss 0.00612 0.13845 2162.59%
PeytonManning time 16.25471 43.7 168.85%
AirPassengers MAE_val 15.26985 232.253 1420.99%
AirPassengers RMSE_val 19.42088 250.753 1191.15%
AirPassengers Loss_val 0.00195 0.318 16235.9%
AirPassengers MAE 9.82902 153.771 1464.46%
AirPassengers RMSE 11.70055 162.458 1288.47%
AirPassengers Loss 0.00056 0.11342 20287.23%
AirPassengers time 5.76797 18.13 214.32%
YosemiteTempsBFGS MAE_val - 1.587 -
YosemiteTempsBFGS RMSE_val - 2.1777 -
YosemiteTempsBFGS Loss_val - 0.0009 -
YosemiteTempsBFGS MAE - 1.4415 -
YosemiteTempsBFGS RMSE - 2.1732 -
YosemiteTempsBFGS Loss - 0.0006 -
YosemiteTempsBFGS time - 573.76 -
Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

@karl-richter karl-richter self-assigned this Mar 15, 2023
@karl-richter karl-richter added the status: in development Pull requests which are in development label Mar 15, 2023
@ourownstory ourownstory added this to the V2.0 milestone May 12, 2023
@ourownstory ourownstory changed the title L-BFGS Optimizer [Major] L-BFGS Optimizer Oct 18, 2023
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