As in chess tournaments and matches...
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
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Contact:
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by deeds » Tue Jul 26, 2022 3:45 pm
hardware : dual xeon e5-2660v3
software : cutechess-gui 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men
Code: Select all
Depth4_050522.exp : experience data trained only with Eman
ProteusSF_030622.exp : experience data merged from Sarona's engine and Igor's data
Opening list : GHPPN's 15 most popular openings
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L D(%) OppAvg OppN
1 Depth4_050522.exp (Eman 8.10) : 12 91 15.5 30 51.7 1 29 0 96.7 0 1
2 ProteusSF_030622.exp (Eman 8.10) : 0 ---- 14.5 30 48.3 0 29 1 96.7 12 1
White advantage = -11.70 +/- 47.15
Draw rate (equal opponents) = 50.00 % +/- 0.00
link :
games
pass : ilUjtD1BLyiiL3gGfA9ihA
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
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Contact:
Post
by deeds » Tue Jul 26, 2022 3:50 pm
hardware : dual xeon e5-2660v3
software : cutechess-gui 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men
Code: Select all
Depth4_050522.exp : experience data trained only with Eman
ProteusSF_030622.exp : experience data merged from Sarona's engine and Igor's data
Opening list : Albert Silver's 25 gambit suit
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L D(%) OppAvg OppN
1 Depth4_050522.exp (Eman 8.10) : 35 69 27.5 50 55.0 9 37 4 74.0 0 1
2 ProteusSF_030622.exp (Eman 8.10) : 0 ---- 22.5 50 45.0 4 37 9 74.0 35 1
White advantage = 7.08 +/- 35.50
Draw rate (equal opponents) = 50.00 % +/- 0.00
link :
games
pass : ilUjtD1BLyiiL3gGfA9ihA
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
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Contact:
Post
by deeds » Tue Jul 26, 2022 3:52 pm
hardware : dual xeon e5-2660v3
software : cutechess-gui 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men
Code: Select all
Depth4_050522.exp : experience data trained only with Eman
ProteusSF_030622.exp : experience data merged from Sarona's engine and Igor's data
Opening list : DeeDs 50 openings list #1
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L D(%) OppAvg OppN
1 Depth4_050522.exp (Eman 8.10) : 32 50 54.5 100 54.5 9 91 0 91.0 0 1
2 ProteusSF_030622.exp (Eman 8.10) : 0 ---- 45.5 100 45.5 0 91 9 91.0 32 1
White advantage = -17.68 +/- 25.31
Draw rate (equal opponents) = 50.00 % +/- 0.00
link :
games
pass : ilUjtD1BLyiiL3gGfA9ihA
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
-
Contact:
Post
by deeds » Tue Jul 26, 2022 3:53 pm
hardware : dual xeon e5-2660v3
software : cutechess-gui 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men
Code: Select all
Depth4_050522.exp : experience data trained only with Eman
ProteusSF_030622.exp : experience data merged from Sarona's engine and Igor's data
Opening list : DeeDs 50 openings list #2
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L D(%) OppAvg OppN
1 Depth4_050522.exp (Eman 8.10) : 61 53 58.0 100 58.0 27 62 11 62.0 0 1
2 ProteusSF_030622.exp (Eman 8.10) : 0 ---- 42.0 100 42.0 11 62 27 62.0 61 1
White advantage = -96.04 +/- 27.09
Draw rate (equal opponents) = 50.00 % +/- 0.00
link :
games
pass : ilUjtD1BLyiiL3gGfA9ihA
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
-
Contact:
Post
by deeds » Tue Jul 26, 2022 3:53 pm
hardware : dual xeon e5-2660v3
software : cutechess-gui 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men
Code: Select all
Depth4_050522.exp : experience data trained only with Eman
ProteusSF_030622.exp : experience data merged from Sarona's engine and Igor's data
Opening list : Jeroen Noomen's 50 tcec season 22 superfinal openings
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L D(%) OppAvg OppN
1 Depth4_050522.exp (Eman 8.10) : 85 50 61.5 100 61.5 24 75 1 75.0 0 1
2 ProteusSF_030622.exp (Eman 8.10) : 0 ---- 38.5 100 38.5 1 75 24 75.0 85 1
White advantage = 71.44 +/- 25.88
Draw rate (equal opponents) = 50.00 % +/- 0.00
link :
games
pass : ilUjtD1BLyiiL3gGfA9ihA
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EmptikBest
- Posts: 75
- Joined: Tue Jun 20, 2023 2:38 pm
Post
by EmptikBest » Sat Aug 26, 2023 4:23 am
So by "merged" experience data you mean data from different engines right?
Is it fine if I merge experience data from the SAME eman engine just a different instance of it? (Since I run 7 instances of 2 threads in LearningFarm)
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deeds
- Posts: 1011
- Joined: Wed Oct 20, 2021 9:24 pm
- Location: France
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Contact:
Post
by deeds » Sat Aug 26, 2023 5:15 am
EmptikBest wrote: ↑Sat Aug 26, 2023 4:23 am
So by "merged" experience data you mean data from different engines right?
Yes as explained
here (by me) and confirmed
there (by Sarona).
EmptikBest wrote: ↑Sat Aug 26, 2023 4:23 am
Is it fine if I merge experience data from the SAME eman engine just a different instance of it? (Since I run 7 instances of 2 threads in LearningFarm)
Yes if you understand what it does.
For example, if you merge 2 experience files from the same engine's release but with different nets and/or different settings
the scores will be averaged, it will keep the greatest depthes, etc.
Usual errors :
- to merge experience data containing pawn-based scores and wdl-based scores (see MZ, Cubail, etc.)
- to merge experience data containing pawn-based or wdl-based scores and Self Qlearning-based scores (see customers of AM's book/experience.bin file)
- etc
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EmptikBest
- Posts: 75
- Joined: Tue Jun 20, 2023 2:38 pm
Post
by EmptikBest » Sat Aug 26, 2023 5:27 am
deeds wrote: ↑Sat Aug 26, 2023 5:15 am
EmptikBest wrote: ↑Sat Aug 26, 2023 4:23 am
So by "merged" experience data you mean data from different engines right?
Yes as explained
here (by me) and confirmed
there (by Sarona).
EmptikBest wrote: ↑Sat Aug 26, 2023 4:23 am
Is it fine if I merge experience data from the SAME eman engine just a different instance of it? (Since I run 7 instances of 2 threads in LearningFarm)
Yes if you understand what it does.
For example, if you merge 2 experience files from the same engine's release but with different nets and/or different settings
the scores will be averaged, it will keep the greatest depthes, etc.
Usual errors :
- to merge experience data containing pawn-based scores and wdl-based scores (see MZ, Cubail, etc.)
- to merge experience data containing pawn-based or wdl-based scores and Self Qlearning-based scores (see customers of AM's book/experience.bin file)
- etc
Okay, thanks! It seems I have not made any of those mistakes.. I am using same net and same settings on all instances, and they all are Eman v8.91