step=78,828 loss=0.69269 elo≈870 sf_n=5,000

step=75,000 loss=0.69276 elo≈872 sf_n=5,000

step=70,000 loss=0.69289 elo≈880 sf_n=5,000

Delete README.md

Delete state_latest.pt

Delete model_latest.pt

step=65,000 loss=0.69289 elo≈893 sf_n=5,000

Delete model_latest.pt

Delete README.md

Delete state_latest.pt

step=62,500 loss=0.00000 elo≈903 sf_n=5,000

Delete model_latest.pt

step=62,500 loss=0.68725 elo≈903 sf_n=5,000

step=60,000 loss=0.68727 elo≈903 sf_n=5,000

step=57,500 loss=0.68725 elo≈903 sf_n=5,000

step=55,000 loss=0.68722 elo≈903 sf_n=5,000

step=52,500 loss=0.68729 elo≈903 sf_n=5,000

step=50,000 loss=0.68733 elo≈903 sf_n=5,000

step=47,500 loss=0.68734 elo≈903 sf_n=5,000

step=45,000 loss=0.68749 elo≈903 sf_n=5,000

step=42,500 loss=0.68746 elo≈903 sf_n=5,000

step=40,000 loss=0.68767 elo≈903 sf_n=5,000

step=37,500 loss=0.68775 elo≈904 sf_n=5,000

step=35,000 loss=0.68772 elo≈905 sf_n=5,000

step=32,500 loss=0.68755 elo≈906 sf_n=5,000

step=30,000 loss=0.68745 elo≈907 sf_n=5,000

step=27,500 loss=0.68763 elo≈909 sf_n=5,000

step=25,000 loss=0.68752 elo≈912 sf_n=5,000

step=22,500 loss=0.68742 elo≈915 sf_n=5,000

step=20,000 loss=0.68719 elo≈921 sf_n=5,000

step=17,500 loss=0.68731 elo≈928 sf_n=5,000

step=15,000 loss=0.68772 elo≈940 sf_n=5,000

step=12,500 loss=0.68741 elo≈963 sf_n=5,000

step=10,000 loss=0.68723 elo≈1011 sf_n=5,000

step=7,500 loss=0.47174 elo≈1136 sf_n=5,000

step=5,000 loss=0.46658 elo≈1059 sf_n=5,000

step=2,500 loss=0.46667 elo≈951 sf_n=5,000

Delete state_latest.pt

Delete model_latest.pt

step=85,000 loss=0.68833 elo≈900 sf_n=5,000

step=80,000 loss=0.68812 elo≈899 sf_n=5,000

step=75,000 loss=0.68812 elo≈897 sf_n=5,000

step=70,000 loss=0.68802 elo≈892 sf_n=5,000

step=65,000 loss=0.68812 elo≈882 sf_n=5,000

step=60,000 loss=0.68815 elo≈868 sf_n=5,000

step=56,044 loss=0.68997 elo≈885 sf_n=500

step=54,000 loss=0.69003 elo≈887 sf_n=501

step=51,000 loss=0.69013 elo≈890 sf_n=506

step=48,000 loss=0.68970 elo≈894 sf_n=510

step=45,000 loss=0.56876 elo≈1127 sf_n=583