fix: stress tester init non-fatal on small GPUs + hyperopt runs
The stress tester creates a SECOND DQNTrainer for validation, which OOMs on 4GB GPUs. Changed from fatal error (?) to warning + skip. Hyperopt now successfully trains on RTX 3050 — 2 trials × 10 epochs completed in 19 minutes. Backtest metrics still show extreme returns (multiplicative compounding over 895K bars) — needs separate fix. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
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||||
"best_params_json": "{\n \"learning_rate\": 0.000022190877220087656,\n \"batch_size\": 295,\n \"gamma\": 0.9708044572883984,\n \"buffer_size\": 78142,\n \"max_position_absolute\": 2.7336642095489605,\n \"huber_delta\": 33.038741593200534,\n \"entropy_coefficient\": 0.11257353575380279,\n \"transaction_cost_multiplier\": 1.5746512810722009,\n \"per_alpha\": 0.42310878991492795,\n \"per_beta_start\": 0.443376110589724,\n \"dueling_hidden_dim\": 128,\n \"n_steps\": 4,\n \"tau\": 0.005735560746743293,\n \"num_atoms\": 101,\n \"v_min\": -300.0,\n \"v_max\": 300.0,\n \"noisy_sigma_init\": 0.2759837612234165,\n \"minimum_profit_factor\": 1.909221443617045,\n \"weight_decay\": 0.001,\n \"kelly_fractional\": 0.6331514564654239,\n \"kelly_max_fraction\": 0.16041424175716595,\n \"kelly_min_trades\": 20,\n \"volatility_window\": 28,\n \"use_ensemble_uncertainty\": false,\n \"ensemble_size\": 5.0,\n \"beta_variance\": 0.5,\n \"beta_disagreement\": 0.5,\n \"beta_entropy\": 0.2,\n \"warmup_ratio\": 0.0,\n \"curiosity_weight\": 0.0,\n \"td_error_clamp_max\": 10.0,\n \"batch_diversity_cooldown\": 50.0,\n \"lr_decay_type\": 0.0,\n \"sharpe_weight\": 0.35115315644521294,\n \"gae_lambda\": 0.95,\n \"noisy_sigma_initial\": 0.5,\n \"noisy_sigma_final\": 0.3,\n \"use_spectral_norm\": true,\n \"use_attention\": true,\n \"use_residual\": true,\n \"norm_type\": 1.0,\n \"activation_type\": 1.0,\n \"num_quantiles\": 32,\n \"qr_kappa\": 1.0,\n \"iqn_lambda\": 0.10209061418712961,\n \"spectral_norm_sigma_max\": 5.943867735507343,\n \"hidden_dim_base\": 128,\n \"noisy_epsilon_floor\": 0.1,\n \"count_bonus_coefficient\": 0.061690164793656715,\n \"cql_alpha\": 0.7125957338975473,\n \"eval_softmax_temp\": 1.0,\n \"dsr_eta\": 0.010460795490728925,\n \"branch_hidden_dim\": 64,\n \"gradient_accumulation_steps\": 1,\n \"w_dsr\": 1.0,\n \"w_pnl\": 0.3,\n \"w_dd\": 1.0,\n \"w_idle\": 0.01,\n \"dd_threshold\": 0.01,\n \"loss_aversion\": 1.5,\n \"time_decay_rate\": 0.0005,\n \"q_gap_threshold\": 0.1,\n \"c51_warmup_epochs\": 5,\n \"dt_pretrain_epochs\": 0,\n \"her_ratio\": 0.45962308931287466,\n \"curiosity_weight_tunable\": 0.14953162706612275,\n \"use_cvar_action_selection\": 0.47923390383514164,\n \"cvar_alpha\": 0.19998051861344832\n}",
|
||||
"best_checkpoint_path": null,
|
||||
"total_time_seconds": 1144.633763253
|
||||
}
|
||||
@@ -0,0 +1,79 @@
|
||||
{
|
||||
"trial_number": 0,
|
||||
"sharpe": -0.028400666266679763,
|
||||
"win_rate": 0.21477571427822112,
|
||||
"max_drawdown": 100.0,
|
||||
"total_return": -19063466697372.566,
|
||||
"hyperparameters": {
|
||||
"learning_rate": 0.00005994999354431849,
|
||||
"batch_size": 307,
|
||||
"gamma": 0.9572818589229506,
|
||||
"buffer_size": 66246,
|
||||
"max_position_absolute": 1.1030284538648683,
|
||||
"huber_delta": 17.775790174607682,
|
||||
"entropy_coefficient": 0.38184099247597697,
|
||||
"transaction_cost_multiplier": 1.7738774066741243,
|
||||
"per_alpha": 0.45251155566697393,
|
||||
"per_beta_start": 0.20130083854118397,
|
||||
"dueling_hidden_dim": 128,
|
||||
"n_steps": 4,
|
||||
"tau": 0.008986246204051671,
|
||||
"num_atoms": 101,
|
||||
"v_min": -280.91110000212706,
|
||||
"v_max": 280.91110000212706,
|
||||
"noisy_sigma_init": 0.24583814763225417,
|
||||
"minimum_profit_factor": 1.5028035348681215,
|
||||
"weight_decay": 0.00010597074820791314,
|
||||
"kelly_fractional": 0.5096243658522589,
|
||||
"kelly_max_fraction": 0.12010947414322902,
|
||||
"kelly_min_trades": 20,
|
||||
"volatility_window": 23,
|
||||
"use_ensemble_uncertainty": false,
|
||||
"ensemble_size": 5.0,
|
||||
"beta_variance": 0.5,
|
||||
"beta_disagreement": 0.5,
|
||||
"beta_entropy": 0.2,
|
||||
"warmup_ratio": 0.0,
|
||||
"curiosity_weight": 0.0,
|
||||
"td_error_clamp_max": 10.0,
|
||||
"batch_diversity_cooldown": 50.0,
|
||||
"lr_decay_type": 0.0,
|
||||
"sharpe_weight": 0.10176748614555509,
|
||||
"gae_lambda": 0.95,
|
||||
"noisy_sigma_initial": 0.5,
|
||||
"noisy_sigma_final": 0.3,
|
||||
"use_spectral_norm": true,
|
||||
"use_attention": true,
|
||||
"use_residual": true,
|
||||
"norm_type": 1.0,
|
||||
"activation_type": 1.0,
|
||||
"num_quantiles": 32,
|
||||
"qr_kappa": 1.0,
|
||||
"iqn_lambda": 0.8479734309322158,
|
||||
"spectral_norm_sigma_max": 4.8543579475657985,
|
||||
"hidden_dim_base": 128,
|
||||
"noisy_epsilon_floor": 0.1,
|
||||
"count_bonus_coefficient": 0.23831546372779777,
|
||||
"cql_alpha": 0.5059776371295834,
|
||||
"eval_softmax_temp": 1.0,
|
||||
"dsr_eta": 0.003947815597664894,
|
||||
"branch_hidden_dim": 64,
|
||||
"gradient_accumulation_steps": 1,
|
||||
"w_dsr": 1.0,
|
||||
"w_pnl": 0.3,
|
||||
"w_dd": 1.0,
|
||||
"w_idle": 0.01,
|
||||
"dd_threshold": 0.01,
|
||||
"loss_aversion": 1.5,
|
||||
"time_decay_rate": 0.0005,
|
||||
"q_gap_threshold": 0.1,
|
||||
"c51_warmup_epochs": 10,
|
||||
"dt_pretrain_epochs": 0,
|
||||
"her_ratio": 0.48591734800375336,
|
||||
"curiosity_weight_tunable": 0.09052455736721342,
|
||||
"use_cvar_action_selection": 0.028233223186665324,
|
||||
"cvar_alpha": 0.03929750758139713
|
||||
},
|
||||
"timestamp": "2026-03-25T11:36:46.898923065+00:00",
|
||||
"gradient_clip_norm": 10.0
|
||||
}
|
||||
@@ -0,0 +1,79 @@
|
||||
{
|
||||
"trial_number": 1,
|
||||
"sharpe": 0.0122409051284194,
|
||||
"win_rate": 0.17802281987387686,
|
||||
"max_drawdown": 100.0,
|
||||
"total_return": 279102509770.2674,
|
||||
"hyperparameters": {
|
||||
"learning_rate": 0.000022190877220087656,
|
||||
"batch_size": 295,
|
||||
"gamma": 0.9708044572883984,
|
||||
"buffer_size": 78142,
|
||||
"max_position_absolute": 2.7336642095489605,
|
||||
"huber_delta": 33.038741593200534,
|
||||
"entropy_coefficient": 0.11257353575380279,
|
||||
"transaction_cost_multiplier": 1.5746512810722009,
|
||||
"per_alpha": 0.42310878991492795,
|
||||
"per_beta_start": 0.443376110589724,
|
||||
"dueling_hidden_dim": 128,
|
||||
"n_steps": 4,
|
||||
"tau": 0.005735560746743293,
|
||||
"num_atoms": 101,
|
||||
"v_min": -300.0,
|
||||
"v_max": 300.0,
|
||||
"noisy_sigma_init": 0.2759837612234165,
|
||||
"minimum_profit_factor": 1.909221443617045,
|
||||
"weight_decay": 0.001,
|
||||
"kelly_fractional": 0.6331514564654239,
|
||||
"kelly_max_fraction": 0.16041424175716595,
|
||||
"kelly_min_trades": 20,
|
||||
"volatility_window": 28,
|
||||
"use_ensemble_uncertainty": false,
|
||||
"ensemble_size": 5.0,
|
||||
"beta_variance": 0.5,
|
||||
"beta_disagreement": 0.5,
|
||||
"beta_entropy": 0.2,
|
||||
"warmup_ratio": 0.0,
|
||||
"curiosity_weight": 0.0,
|
||||
"td_error_clamp_max": 10.0,
|
||||
"batch_diversity_cooldown": 50.0,
|
||||
"lr_decay_type": 0.0,
|
||||
"sharpe_weight": 0.35115315644521294,
|
||||
"gae_lambda": 0.95,
|
||||
"noisy_sigma_initial": 0.5,
|
||||
"noisy_sigma_final": 0.3,
|
||||
"use_spectral_norm": true,
|
||||
"use_attention": true,
|
||||
"use_residual": true,
|
||||
"norm_type": 1.0,
|
||||
"activation_type": 1.0,
|
||||
"num_quantiles": 32,
|
||||
"qr_kappa": 1.0,
|
||||
"iqn_lambda": 0.10209061418712961,
|
||||
"spectral_norm_sigma_max": 5.943867735507343,
|
||||
"hidden_dim_base": 128,
|
||||
"noisy_epsilon_floor": 0.1,
|
||||
"count_bonus_coefficient": 0.061690164793656715,
|
||||
"cql_alpha": 0.7125957338975473,
|
||||
"eval_softmax_temp": 1.0,
|
||||
"dsr_eta": 0.010460795490728925,
|
||||
"branch_hidden_dim": 64,
|
||||
"gradient_accumulation_steps": 1,
|
||||
"w_dsr": 1.0,
|
||||
"w_pnl": 0.3,
|
||||
"w_dd": 1.0,
|
||||
"w_idle": 0.01,
|
||||
"dd_threshold": 0.01,
|
||||
"loss_aversion": 1.5,
|
||||
"time_decay_rate": 0.0005,
|
||||
"q_gap_threshold": 0.1,
|
||||
"c51_warmup_epochs": 5,
|
||||
"dt_pretrain_epochs": 0,
|
||||
"her_ratio": 0.45962308931287466,
|
||||
"curiosity_weight_tunable": 0.14953162706612275,
|
||||
"use_cvar_action_selection": 0.47923390383514164,
|
||||
"cvar_alpha": 0.19998051861344832
|
||||
},
|
||||
"timestamp": "2026-03-25T11:46:05.640280261+00:00",
|
||||
"gradient_clip_norm": 10.0
|
||||
}
|
||||
@@ -3100,8 +3100,11 @@ impl HyperparameterOptimizable for DQNTrainer {
|
||||
|
||||
// Two-phase stress tester init: now that the trainer is fully constructed,
|
||||
// resolve the circular dependency by creating the inner stress tester.
|
||||
internal_trainer.init_stress_tester()
|
||||
.map_err(|e| MLError::TrainingError(format!("Failed to init stress tester: {}", e)))?;
|
||||
// Stress tester creates a SECOND DQNTrainer — may OOM on small GPUs (4GB).
|
||||
// Non-fatal: training proceeds without stress testing.
|
||||
if let Err(e) = internal_trainer.init_stress_tester() {
|
||||
tracing::warn!("Stress tester init skipped (non-fatal, likely OOM): {}", e);
|
||||
}
|
||||
|
||||
// Inject preloaded OFI features into the trial trainer (Arc-clone, zero-copy)
|
||||
if let Some(ref ofi) = self.preloaded_ofi_features {
|
||||
|
||||
Reference in New Issue
Block a user