There maybe an issue with networks trained from PGN games (CCRL games) .
I have mostly been using another set of networks that I trained from set of EPD postions.
This set was also used for training standard scorpio's eval.
Could you try the net-2x32.pb file contained in
https://github.com/dshawul/Scorpio/rele ... ts-epd.zip
It beat tscp three times in a row here on the cpu though it has some issues converting endgames.
These are trained from much less games (maybe 25000 games) but they should be able to capture atleast piece values.
My training script needs a lot more work for sure.
Here is the last game with the 2x32 net from nets-epd nor nets-ccrl. I figure this engine should be around 2400 from looking
at the way it plays but I am not chess player. It plays badly in the endgame though.
[pgn]
[Event "Computer Chess Game"]
[Site "dani-s-xp"]
[Date "2018.09.08"]
[Round "3"]
[White "scorpio"]
[Black "tscp"]
[Result "*"]
[TimeControl "40/120"]
[Annotator "1. +0.00 9... -0.84"]
1. e4 {+0.00/70} c5 2. Nf3 {+0.00/70 0.1} d6 3. d4 {+0.00/70 0.1} cxd4 4.
Nxd4 {+0.00/70 0.1} Nf6 5. Nc3 {+0.00/70 0.1} Nc6 6. Bg5 {+0.00/70 0.1} e6
7. Qd2 {+0.00/70 0.1} a6 8. O-O-O {+0.00/70 0.1} h6 9. Be3 {+0.00/70 0.1}
Bd7 {-0.84/6 4} 10. f3 {+0.00/70 0.1} Be7 {-0.59/6 4} 11. g4 {+0.00/70 0.1}
O-O {-0.37/6 4} 12. Kb1 {+0.03/71 8} Nxd4 {-0.14/6 4} 13. Bxd4 {+1.12/71 4}
e5 {-0.06/6 3} 14. Bf2 {+1.29/71 4} b5 {-0.01/5 3} 15. h4 {+1.62/71 4} Bc6
{-0.22/5 3} 16. g5 {+3.35/71 4} hxg5 {-0.15/7 3} 17. hxg5 {+3.54/71 0.9}
Nh7 {-0.21/6 3} 18. Be3 {+2.96/71 4} Nxg5 {-0.21/5 2.9} 19. Qh2
{+3.75/71 4} f5 {-0.41/6 2.8} 20. Bxg5 {+4.65/71 4} Bxg5 {-0.81/6 2.7} 21.
Qh7+ {+3.56/71 4} Kf7 {-0.81/5 2.6} 22. a4 {+3.14/71 4} fxe4 {+0.31/6 2.6}
23. Nxe4 {+3.54/71 4} Bxe4 {+0.33/6 2.5} 24. Qxe4 {+3.17/71 4} bxa4
{+0.43/5 2.4} 25. Bc4+ {+3.37/71 4} Ke7 {+0.43/5 2.3} 26. Rh5 {+3.64/71 4}
Bf6 {+0.75/6 2.2} 27. f4 {+3.96/71 4} Rb8 {+1.53/5 2.2} 28. fxe5
{+4.01/71 4} Rxb2+ {-2.28/5 2.1} 29. Kxb2 {+7.29/71 1.0} Qb8+ {-2.67/6 2.0}
30. Ka2 {+7.09/71 4} Bxe5 {-2.64/6 1.9} 31. Rxe5+ {+5.95/71 4} dxe5
{-4.97/5 1.9} 32. Qg6 {+6.63/71 4} Rf2 {-7.94/6 1.8} 33. Qe6+ {+6.92/71 4}
Kf8 {-7.94/6 1.8} 34. Qg8+ {+7.85/71 1.1} Ke7 {-9.22/6 1.7} 35. Qxb8
{+9.15/71 1.2} Rxc2+ {-10.85/6 1.6} 36. Kb1 {+11.41/71 6} Rd2
{-16.73/6 1.6} 37. Rxd2 {+11.44/71 6} Kf6 {-99.94/5 0.1} 38. Bxa6
{+14.71/71 6} g5 {-15.12/5 1.5} 39. Bb5 {+14.60/71 6} g4 {-15.76/5 1.5} 40.
Rd5 {+14.59/71 7} a3 {-16.06/5 1.4} 41. Ka2 {+16.70/71 2.9} Kg6
{-99.92/6 2.0} 42. Kxa3 {+14.17/71 2.9} Kh6 {-18.11/6 5} 43. Rd8
{+18.18/71 2.9} e4 {-99.94/6 0.8} 44. Qa8 {+20.26/71 2.9} Kg5 {-18.31/7 5}
45. Qa7 {+15.70/71 2.9} Kh5 {-18.11/6 5} 46. Kb2 {+13.12/71 2.9} Kg5
{-18.00/6 5} 47. Qc5+ {+23.87/71 0.7} Kh4 {-99.94/5 1.4} 48. Qb6
{+14.84/71 2.9} Kg5 {-18.00/6 5} 49. Bc6 {+14.38/71 2.9} Kf5 {-18.05/6 4}
50. Qd4 {+16.32/71 2.9} g3 {-99.92/6 2.4} 51. Kc3 {+14.33/71 3} Kg5
{-99.92/6 1.8} 52. Rg8+ {+13.68/71 0.7} Kf5 {-99.94/4 0.1} 53. Rxg3
{+11.86/71 0.8} Ke6 {-99.96/4 0.1} 54. Bxe4 {+17.45/71 3} Ke7
{-99.94/5 0.1} 55. Qe5+ {+9.94/71 3} Kd8 {-99.96/3 0.1
[/pgn]
DAniel
