dung5k commited on
Commit
ad72eb8
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1 Parent(s): 54d7c4a

Best model: CFG_XAG_ASIAN_V6/run_20260601_215546_v6_asian

Browse files
workspaces/CFG_XAG_ASIAN_V6/runs/run_20260601_215546_v6_asian/results/train_v3.log CHANGED
@@ -26,3 +26,9 @@
26
  [Epoch 18] Loss(MSE:0.1602/CE:0.9600) | LR=1.78e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0182/CE:0.6334) | >=53%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=54%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=55%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00)
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  [ARGO2] MO HINH HOI TU TOT NHAT! Val CE Loss = 0.6507 (WR: 0.0%). Luu model...
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  [21:57:54] PUSH RUN: run_20260601_215546_v6_asian -> HF (new/changed files only)...
 
 
 
 
 
 
 
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  [Epoch 18] Loss(MSE:0.1602/CE:0.9600) | LR=1.78e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0182/CE:0.6334) | >=53%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=54%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=55%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00)
27
  [ARGO2] MO HINH HOI TU TOT NHAT! Val CE Loss = 0.6507 (WR: 0.0%). Luu model...
28
  [21:57:54] PUSH RUN: run_20260601_215546_v6_asian -> HF (new/changed files only)...
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+ [21:57:56] ✔️ Push run run_20260601_215546_v6_asian hoàn tất!
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+ [Epoch 19] Loss(MSE:0.1591/CE:0.9590) | LR=1.76e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0181/CE:0.6584) | >=53%: WR=11.1% | Score=0.000 | N=18 (0B/18S Bal:0.00) | >=54%: WR=0.0% | Score=0.000 | N=6 (0B/6S Bal:0.00) | >=55%: WR=0.0% | Score=0.000 | N=1 (0B/1S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00)
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+ [Epoch 20] Loss(MSE:0.1573/CE:0.9583) | LR=1.73e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0180/CE:0.6747) | >=53%: WR=17.9% | Score=0.000 | N=67 (4B/63S Bal:0.06) | >=54%: WR=15.9% | Score=0.000 | N=44 (2B/42S Bal:0.05) | >=55%: WR=16.1% | Score=0.000 | N=31 (0B/31S Bal:0.00) | >=56%: WR=5.0% | Score=0.000 | N=20 (0B/20S Bal:0.00)
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+ [Epoch 21] Loss(MSE:0.1562/CE:0.9561) | LR=1.69e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0182/CE:0.6161) | >=53%: WR=20.0% | Score=0.000 | N=10 (2B/8S Bal:0.25) | >=54%: WR=0.0% | Score=0.000 | N=1 (0B/1S Bal:0.00) | >=55%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00)
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+ [ARGO2] MO HINH HOI TU TOT NHAT! Val CE Loss = 0.6334 (WR: 20.0%). Luu model...
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+ [21:58:06] PUSH RUN: run_20260601_215546_v6_asian -> HF (new/changed files only)...
workspaces/CFG_XAG_ASIAN_V6/runs/run_20260601_215546_v6_asian/results/training_metrics_v3.json CHANGED
@@ -8,26 +8,26 @@
8
  "sessions": {
9
  "asian": {
10
  "BEST_VLOSS": {
11
- "epoch": 18,
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  "max_threshold": 0.56,
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  "composite_score": 0.0,
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- "val_loss": 0.6516027307673676,
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  "threshold_metrics": [
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  {
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  "threshold": 0.53,
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- "total_signals": 0,
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- "win_rate": 0.0,
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  "avg_win_return": 0.001,
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  "avg_loss_return": 0.001,
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  "ev_score": 0.0,
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  "sharpe_score": 0.0,
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- "tus_score": 0.0,
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- "total_buy": 0,
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- "total_sell": 0
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  },
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  {
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  "threshold": 0.54,
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- "total_signals": 0,
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  "win_rate": 0.0,
32
  "avg_win_return": 0.001,
33
  "avg_loss_return": 0.001,
@@ -35,7 +35,7 @@
35
  "sharpe_score": 0.0,
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  "tus_score": 0.0,
37
  "total_buy": 0,
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- "total_sell": 0
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  },
40
  {
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  "threshold": 0.55,
@@ -63,7 +63,7 @@
63
  }
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  ],
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  "win_rates": [
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- 0.0,
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  0.0,
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  0.0,
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  0.0
@@ -75,8 +75,8 @@
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  0.56
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  ],
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  "totals": [
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- 0,
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- 0,
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  0,
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  0
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  ]
 
8
  "sessions": {
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  "asian": {
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  "BEST_VLOSS": {
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+ "epoch": 21,
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  "max_threshold": 0.56,
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  "composite_score": 0.0,
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+ "val_loss": 0.6343453114163385,
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  "threshold_metrics": [
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  {
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  "threshold": 0.53,
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+ "total_signals": 10,
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+ "win_rate": 0.2,
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  "avg_win_return": 0.001,
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  "avg_loss_return": 0.001,
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  "ev_score": 0.0,
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  "sharpe_score": 0.0,
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+ "tus_score": 0.4,
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+ "total_buy": 2,
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+ "total_sell": 8
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  },
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  {
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  "threshold": 0.54,
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+ "total_signals": 1,
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  "win_rate": 0.0,
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  "avg_win_return": 0.001,
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  "avg_loss_return": 0.001,
 
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  "sharpe_score": 0.0,
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  "tus_score": 0.0,
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  "total_buy": 0,
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+ "total_sell": 1
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  },
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  {
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  "threshold": 0.55,
 
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  }
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  ],
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  "win_rates": [
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+ 0.2,
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  0.0,
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  0.0,
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  0.0
 
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  0.56
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  ],
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  "totals": [
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+ 10,
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+ 1,
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  0,
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  0
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  ]