| /home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/megablocks/grouped_gemm_util.py:10: UserWarning: Grouped GEMM not available. |
| warnings.warn('Grouped GEMM not available.') |
| wandb: [wandb.login()] Loaded credentials for https: |
| wandb: Currently logged in as: hbfreed to https: |
| wandb: Tracking run with wandb version 0.28.0 |
| wandb: Run data is saved locally in outputs/healed/grid_math/glean_keep25_s1225/wandb/run-20260716_034843-v3mah2z8 |
| wandb: Run `wandb offline` to turn off syncing. |
| wandb: Syncing run glean-math-keep25-s1225 |
| wandb: βοΈ View project at https: |
| wandb: π View run at https: |
| 12115 cached top-128 chat trajectories / 6,476,634 unique tokens | 53 steps/epoch | 150 total steps | student params 2.09B | teacher overlap=False |
| {"step": 1, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 1.3958471946775912, "tokens": 120000, "cumulative_loss_tokens": 120000, "grad_norm": 105.0, "lr": 6e-06, "finish_rate": 0.733, "comp_len": 628.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 36.4, "frames": {"chat": 191}, "mem_gb": 9.94} |
| The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results. |
| [eval step 1] sample: '\nThe answer is **29**\n\nThe numbers are **1**, **3**, **5**, **7**. The four numbers are **1**, **3**, **5**, **7**. The total number of these four numbers is **15**. The number **29** is prime.\n\n**29*' |
| {"step": 2, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 1.2812339077095192, "tokens": 120000, "cumulative_loss_tokens": 240000, "grad_norm": 92.5, "lr": 9e-06, "finish_rate": 0.845, "comp_len": 547.9, "t_data_s": 0.1, "t_rollout_s": 0.0, "t_step_s": 32.1, "frames": {"chat": 219}, "mem_gb": 10.0} |
| {"step": 3, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 1.22591313500156, "tokens": 120000, "cumulative_loss_tokens": 360000, "grad_norm": 62.75, "lr": 1.2e-05, "finish_rate": 0.778, "comp_len": 579.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.8, "frames": {"chat": 207}, "mem_gb": 10.0} |
| {"step": 4, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.9309642657568057, "tokens": 120000, "cumulative_loss_tokens": 480000, "grad_norm": 14.9375, "lr": 1.5e-05, "finish_rate": 0.755, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.6, "frames": {"chat": 208}, "mem_gb": 9.96} |
| {"step": 5, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.7706553599588573, "tokens": 120000, "cumulative_loss_tokens": 600000, "grad_norm": 10.9375, "lr": 1.8e-05, "finish_rate": 0.799, "comp_len": 547.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.1, "frames": {"chat": 219}, "mem_gb": 10.0} |
| {"step": 6, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.6402923999081055, "tokens": 120000, "cumulative_loss_tokens": 720000, "grad_norm": 10.9375, "lr": 2.1e-05, "finish_rate": 0.915, "comp_len": 487.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 246}, "mem_gb": 9.87} |
| {"step": 7, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.5687407882797222, "tokens": 120000, "cumulative_loss_tokens": 840000, "grad_norm": 3.71875, "lr": 2.4e-05, "finish_rate": 0.704, "comp_len": 582.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.6, "frames": {"chat": 206}, "mem_gb": 10.02} |
| {"step": 8, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.47117147324259084, "tokens": 120000, "cumulative_loss_tokens": 960000, "grad_norm": 2.46875, "lr": 2.7000000000000002e-05, "finish_rate": 0.876, "comp_len": 515.0, "t_data_s": 0.1, "t_rollout_s": 0.0, "t_step_s": 33.8, "frames": {"chat": 233}, "mem_gb": 10.0} |
| {"step": 9, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.43779878526590765, "tokens": 120000, "cumulative_loss_tokens": 1080000, "grad_norm": 1.875, "lr": 3e-05, "finish_rate": 0.847, "comp_len": 524.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 229}, "mem_gb": 9.87} |
| {"step": 10, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.3573542028216024, "tokens": 120000, "cumulative_loss_tokens": 1200000, "grad_norm": 1.3515625, "lr": 3e-05, "finish_rate": 0.864, "comp_len": 508.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.2, "frames": {"chat": 236}, "mem_gb": 9.9} |
| [eval step 10] sample: "To solve this problem, we need to determine which of the four numbers on the diagonal from \\(7\\) to \\(49\\) are prime. Let's break down the steps:\n\n1. **Identify the numbers on the diagonal:**\n The n" |
| {"step": 11, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.3389050622591128, "tokens": 120000, "cumulative_loss_tokens": 1320000, "grad_norm": 1.140625, "lr": 3e-05, "finish_rate": 0.87, "comp_len": 502.1, "t_data_s": 0.1, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 239}, "mem_gb": 9.79} |
| {"step": 12, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2907669429977735, "tokens": 120000, "cumulative_loss_tokens": 1440000, "grad_norm": 0.95703125, "lr": 3e-05, "finish_rate": 0.867, "comp_len": 497.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.5, "frames": {"chat": 241}, "mem_gb": 9.91} |
| {"step": 13, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2989568690617879, "tokens": 120000, "cumulative_loss_tokens": 1560000, "grad_norm": 0.98828125, "lr": 3e-05, "finish_rate": 0.863, "comp_len": 531.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 226}, "mem_gb": 9.87} |
| {"step": 14, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.25473856463196376, "tokens": 120000, "cumulative_loss_tokens": 1680000, "grad_norm": 0.77734375, "lr": 3e-05, "finish_rate": 0.893, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.4, "frames": {"chat": 234}, "mem_gb": 10.0} |
| {"step": 15, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2544649389738838, "tokens": 120000, "cumulative_loss_tokens": 1800000, "grad_norm": 0.74609375, "lr": 3e-05, "finish_rate": 0.914, "comp_len": 466.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 257}, "mem_gb": 9.99} |
| {"step": 16, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.3264326198320836, "tokens": 120000, "cumulative_loss_tokens": 1920000, "grad_norm": 0.953125, "lr": 3e-05, "finish_rate": 0.76, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.5, "frames": {"chat": 208}, "mem_gb": 10.05} |
| {"step": 17, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2732485909540206, "tokens": 120000, "cumulative_loss_tokens": 2040000, "grad_norm": 0.8515625, "lr": 3e-05, "finish_rate": 0.763, "comp_len": 568.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.2, "frames": {"chat": 211}, "mem_gb": 10.02} |
| {"step": 18, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.24720005844794213, "tokens": 120000, "cumulative_loss_tokens": 2160000, "grad_norm": 0.765625, "lr": 3e-05, "finish_rate": 0.806, "comp_len": 528.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 227}, "mem_gb": 10.0} |
| {"step": 19, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.25496282017032307, "tokens": 120000, "cumulative_loss_tokens": 2280000, "grad_norm": 0.7734375, "lr": 3e-05, "finish_rate": 0.796, "comp_len": 568.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 211}, "mem_gb": 9.98} |
| {"step": 20, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.21520358278726537, "tokens": 120000, "cumulative_loss_tokens": 2400000, "grad_norm": 0.65234375, "lr": 3e-05, "finish_rate": 0.861, "comp_len": 504.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.2, "frames": {"chat": 238}, "mem_gb": 10.0} |
| [eval step 20] sample: 'To solve this problem, we need to identify the four numbers that lie on the diagonal from the center of the grid to the number \\(7\\) in the given sequence. The sequence is a spiral pattern starting at' |
| {"step": 21, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2216773895036429, "tokens": 120000, "cumulative_loss_tokens": 2520000, "grad_norm": 0.671875, "lr": 3e-05, "finish_rate": 0.835, "comp_len": 506.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 35.5, "frames": {"chat": 237}, "mem_gb": 10.04} |
| {"step": 22, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.24041704051339377, "tokens": 120000, "cumulative_loss_tokens": 2640000, "grad_norm": 0.68359375, "lr": 3e-05, "finish_rate": 0.721, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.8, "frames": {"chat": 208}, "mem_gb": 10.04} |
| {"step": 23, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.2146310205236698, "tokens": 120000, "cumulative_loss_tokens": 2760000, "grad_norm": 0.59375, "lr": 3e-05, "finish_rate": 0.801, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 221}, "mem_gb": 10.12} |
| {"step": 24, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.20238777070970584, "tokens": 120000, "cumulative_loss_tokens": 2880000, "grad_norm": 0.5859375, "lr": 3e-05, "finish_rate": 0.853, "comp_len": 517.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.6, "frames": {"chat": 232}, "mem_gb": 9.96} |
| {"step": 25, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.20690553727087876, "tokens": 120000, "cumulative_loss_tokens": 3000000, "grad_norm": 0.56640625, "lr": 3e-05, "finish_rate": 0.764, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 208}, "mem_gb": 9.99} |
| {"step": 26, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.18880456114976357, "tokens": 120000, "cumulative_loss_tokens": 3120000, "grad_norm": 0.5703125, "lr": 3e-05, "finish_rate": 0.837, "comp_len": 528.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.0, "frames": {"chat": 227}, "mem_gb": 9.91} |
| {"step": 27, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.20486585594148685, "tokens": 120000, "cumulative_loss_tokens": 3240000, "grad_norm": 0.5625, "lr": 3e-05, "finish_rate": 0.824, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 221}, "mem_gb": 9.94} |
| {"step": 28, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.18253140152214717, "tokens": 120000, "cumulative_loss_tokens": 3360000, "grad_norm": 0.6015625, "lr": 3e-05, "finish_rate": 0.815, "comp_len": 517.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.2, "frames": {"chat": 232}, "mem_gb": 10.01} |
| {"step": 29, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.17699584313053637, "tokens": 120000, "cumulative_loss_tokens": 3480000, "grad_norm": 0.53515625, "lr": 3e-05, "finish_rate": 0.822, "comp_len": 547.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 219}, "mem_gb": 10.01} |
| {"step": 30, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.19838463523512084, "tokens": 120000, "cumulative_loss_tokens": 3600000, "grad_norm": 0.5078125, "lr": 3e-05, "finish_rate": 0.713, "comp_len": 615.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.5, "frames": {"chat": 195}, "mem_gb": 10.1} |
| [eval step 30] sample: 'To solve this problem, we need to analyze the arrangement of numbers on a square grid starting from the center and then determine how many of the numbers on the diagonal from \\(7\\) are prime.\n\n### Ste' |
| {"step": 31, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.18508145255607863, "tokens": 120000, "cumulative_loss_tokens": 3720000, "grad_norm": 0.5078125, "lr": 3e-05, "finish_rate": 0.833, "comp_len": 555.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.9, "frames": {"chat": 216}, "mem_gb": 10.0} |
| {"step": 32, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15833309386118005, "tokens": 120000, "cumulative_loss_tokens": 3840000, "grad_norm": 0.4609375, "lr": 3e-05, "finish_rate": 0.788, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.9, "frames": {"chat": 208}, "mem_gb": 9.89} |
| {"step": 33, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15909730202872305, "tokens": 120000, "cumulative_loss_tokens": 3960000, "grad_norm": 0.50390625, "lr": 3e-05, "finish_rate": 0.919, "comp_len": 510.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 235}, "mem_gb": 9.88} |
| {"step": 34, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.162696361270609, "tokens": 120000, "cumulative_loss_tokens": 4080000, "grad_norm": 0.494140625, "lr": 3e-05, "finish_rate": 0.853, "comp_len": 533.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.0, "frames": {"chat": 225}, "mem_gb": 9.99} |
| {"step": 35, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.22678135332918414, "tokens": 120000, "cumulative_loss_tokens": 4200000, "grad_norm": 0.58203125, "lr": 3e-05, "finish_rate": 0.77, "comp_len": 563.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 213}, "mem_gb": 10.08} |
| {"step": 36, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15918074906071028, "tokens": 120000, "cumulative_loss_tokens": 4320000, "grad_norm": 0.515625, "lr": 3e-05, "finish_rate": 0.922, "comp_len": 466.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 35.2, "frames": {"chat": 257}, "mem_gb": 9.76} |
| {"step": 37, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.18729867079984397, "tokens": 120000, "cumulative_loss_tokens": 4440000, "grad_norm": 0.494140625, "lr": 3e-05, "finish_rate": 0.792, "comp_len": 566.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.1, "frames": {"chat": 212}, "mem_gb": 10.03} |
| {"step": 38, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15989416230500986, "tokens": 120000, "cumulative_loss_tokens": 4560000, "grad_norm": 0.67578125, "lr": 3e-05, "finish_rate": 0.833, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 221}, "mem_gb": 10.0} |
| {"step": 39, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.16033389104095597, "tokens": 120000, "cumulative_loss_tokens": 4680000, "grad_norm": 0.46484375, "lr": 3e-05, "finish_rate": 0.868, "comp_len": 495.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.4, "frames": {"chat": 242}, "mem_gb": 10.0} |
| {"step": 40, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.14507702404971545, "tokens": 120000, "cumulative_loss_tokens": 4800000, "grad_norm": 0.4375, "lr": 3e-05, "finish_rate": 0.836, "comp_len": 545.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 220}, "mem_gb": 9.96} |
| [eval step 40] sample: 'To solve this problem, we need to identify the four numbers from the set \\(\\{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,' |
| {"step": 41, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15030326494518667, "tokens": 120000, "cumulative_loss_tokens": 4920000, "grad_norm": 0.484375, "lr": 3e-05, "finish_rate": 0.896, "comp_len": 500.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 240}, "mem_gb": 9.86} |
| {"step": 42, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.1607294344684109, "tokens": 120000, "cumulative_loss_tokens": 5040000, "grad_norm": 0.4765625, "lr": 3e-05, "finish_rate": 0.728, "comp_len": 582.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.7, "frames": {"chat": 206}, "mem_gb": 9.99} |
| {"step": 43, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.1607213422082675, "tokens": 120000, "cumulative_loss_tokens": 5160000, "grad_norm": 0.51953125, "lr": 3e-05, "finish_rate": 0.867, "comp_len": 531.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 226}, "mem_gb": 10.0} |
| {"step": 44, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.201115768094485, "tokens": 120000, "cumulative_loss_tokens": 5280000, "grad_norm": 0.8046875, "lr": 3e-05, "finish_rate": 0.877, "comp_len": 491.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.4, "frames": {"chat": 244}, "mem_gb": 9.79} |
| {"step": 45, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.17653826248689244, "tokens": 120000, "cumulative_loss_tokens": 5400000, "grad_norm": 0.5, "lr": 3e-05, "finish_rate": 0.804, "comp_len": 535.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.4, "frames": {"chat": 224}, "mem_gb": 10.01} |
| {"step": 46, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.1541471158782641, "tokens": 120000, "cumulative_loss_tokens": 5520000, "grad_norm": 0.5078125, "lr": 3e-05, "finish_rate": 0.923, "comp_len": 442.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 36.0, "frames": {"chat": 271}, "mem_gb": 9.73} |
| {"step": 47, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.14582899590842427, "tokens": 120000, "cumulative_loss_tokens": 5640000, "grad_norm": 0.45703125, "lr": 3e-05, "finish_rate": 0.856, "comp_len": 508.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 236}, "mem_gb": 10.01} |
| {"step": 48, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.1692912352339054, "tokens": 120000, "cumulative_loss_tokens": 5760000, "grad_norm": 0.90625, "lr": 3e-05, "finish_rate": 0.841, "comp_len": 517.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.9, "frames": {"chat": 232}, "mem_gb": 9.88} |
| {"step": 49, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.13167550868373365, "tokens": 120000, "cumulative_loss_tokens": 5880000, "grad_norm": 0.423828125, "lr": 3e-05, "finish_rate": 0.79, "comp_len": 571.4, "t_data_s": 0.1, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 210}, "mem_gb": 9.94} |
| {"step": 50, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.12800594935423384, "tokens": 120000, "cumulative_loss_tokens": 6000000, "grad_norm": 0.4140625, "lr": 3e-05, "finish_rate": 0.811, "comp_len": 553.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.2, "frames": {"chat": 217}, "mem_gb": 9.9} |
| [eval step 50] sample: 'To solve this problem, we need to analyze the numbers arranged in a spiral pattern on a square grid and determine how many of the four numbers that lie on the same diagonal as the number \\(7\\) are pri' |
| checkpoint snapshot queued -> outputs/healed/grid_math/glean_keep25_s1225/step0050 |
| {"step": 51, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.16889489130682, "tokens": 120000, "cumulative_loss_tokens": 6120000, "grad_norm": 0.490234375, "lr": 3e-05, "finish_rate": 0.839, "comp_len": 535.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 224}, "mem_gb": 10.02} |
| {"step": 52, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.19071834716852754, "tokens": 120000, "cumulative_loss_tokens": 6240000, "grad_norm": 0.50390625, "lr": 3e-05, "finish_rate": 0.749, "comp_len": 591.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.4, "frames": {"chat": 203}, "mem_gb": 9.87} |
| {"step": 53, "epoch": 0, "training_mode": "off-policy", "forward_topk_kl": 0.15086872272131344, "tokens": 120000, "cumulative_loss_tokens": 6360000, "grad_norm": 0.458984375, "lr": 3e-05, "finish_rate": 0.887, "comp_len": 502.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.1, "frames": {"chat": 239}, "mem_gb": 9.97} |
| {"step": 54, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11240008413158357, "tokens": 120000, "cumulative_loss_tokens": 6480000, "grad_norm": 0.419921875, "lr": 3e-05, "finish_rate": 0.902, "comp_len": 472.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 254}, "mem_gb": 9.88} |
| {"step": 55, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11910581262825677, "tokens": 120000, "cumulative_loss_tokens": 6600000, "grad_norm": 0.392578125, "lr": 3e-05, "finish_rate": 0.876, "comp_len": 497.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.9, "frames": {"chat": 241}, "mem_gb": 9.98} |
| {"step": 56, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.15324119401192293, "tokens": 120000, "cumulative_loss_tokens": 6720000, "grad_norm": 0.43359375, "lr": 3e-05, "finish_rate": 0.746, "comp_len": 563.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.3, "frames": {"chat": 213}, "mem_gb": 10.01} |
| {"step": 57, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.12598269802760334, "tokens": 120000, "cumulative_loss_tokens": 6840000, "grad_norm": 0.392578125, "lr": 3e-05, "finish_rate": 0.864, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 221}, "mem_gb": 10.05} |
| {"step": 58, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1358413405182461, "tokens": 120000, "cumulative_loss_tokens": 6960000, "grad_norm": 0.4765625, "lr": 3e-05, "finish_rate": 0.745, "comp_len": 612.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.4, "frames": {"chat": 196}, "mem_gb": 10.01} |
| {"step": 59, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11328371758495147, "tokens": 120000, "cumulative_loss_tokens": 7080000, "grad_norm": 0.36328125, "lr": 3e-05, "finish_rate": 0.926, "comp_len": 444.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 36.6, "frames": {"chat": 270}, "mem_gb": 9.82} |
| {"step": 60, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10341172415204346, "tokens": 120000, "cumulative_loss_tokens": 7200000, "grad_norm": 0.365234375, "lr": 3e-05, "finish_rate": 0.815, "comp_len": 555.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 216}, "mem_gb": 9.99} |
| [eval step 60] sample: 'To solve this problem, we need to analyze the arrangement of numbers on a square grid and determine how many of the four numbers on the same diagonal as the number \\(7\\) are prime.\n\n### Steps to Solve' |
| {"step": 61, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.14843227218265334, "tokens": 120000, "cumulative_loss_tokens": 7320000, "grad_norm": 0.50390625, "lr": 3e-05, "finish_rate": 0.775, "comp_len": 600.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 30.9, "frames": {"chat": 200}, "mem_gb": 9.96} |
| {"step": 62, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09767647584409764, "tokens": 120000, "cumulative_loss_tokens": 7440000, "grad_norm": 0.361328125, "lr": 3e-05, "finish_rate": 0.767, "comp_len": 582.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.8, "frames": {"chat": 206}, "mem_gb": 9.91} |
| {"step": 63, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09538950520747652, "tokens": 120000, "cumulative_loss_tokens": 7560000, "grad_norm": 0.341796875, "lr": 3e-05, "finish_rate": 0.902, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 234}, "mem_gb": 9.95} |
| {"step": 64, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11610429440625011, "tokens": 120000, "cumulative_loss_tokens": 7680000, "grad_norm": 0.376953125, "lr": 3e-05, "finish_rate": 0.823, "comp_len": 558.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.4, "frames": {"chat": 215}, "mem_gb": 9.96} |
| {"step": 65, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09513266892942289, "tokens": 120000, "cumulative_loss_tokens": 7800000, "grad_norm": 0.349609375, "lr": 3e-05, "finish_rate": 0.922, "comp_len": 470.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 255}, "mem_gb": 9.94} |
| {"step": 66, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11722616833361486, "tokens": 120000, "cumulative_loss_tokens": 7920000, "grad_norm": 0.4609375, "lr": 3e-05, "finish_rate": 0.892, "comp_len": 480.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.5, "frames": {"chat": 250}, "mem_gb": 9.82} |
| {"step": 67, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10852097176260625, "tokens": 120000, "cumulative_loss_tokens": 8040000, "grad_norm": 0.375, "lr": 3e-05, "finish_rate": 0.884, "comp_len": 495.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.2, "frames": {"chat": 242}, "mem_gb": 9.99} |
| {"step": 68, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.14525317518096417, "tokens": 120000, "cumulative_loss_tokens": 8160000, "grad_norm": 0.451171875, "lr": 3e-05, "finish_rate": 0.729, "comp_len": 603.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 199}, "mem_gb": 10.0} |
| {"step": 69, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.16521108877193183, "tokens": 120000, "cumulative_loss_tokens": 8280000, "grad_norm": 0.46484375, "lr": 3e-05, "finish_rate": 0.784, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 208}, "mem_gb": 10.04} |
| {"step": 70, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1191304967135191, "tokens": 120000, "cumulative_loss_tokens": 8400000, "grad_norm": 0.447265625, "lr": 3e-05, "finish_rate": 0.764, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.4, "frames": {"chat": 208}, "mem_gb": 9.97} |
| [eval step 70] sample: 'To solve this problem, we need to analyze the spiral pattern on the square grid and determine the prime numbers among the numbers that appear in the shaded squares.\n\n### Steps to Solve:\n\n1. **Understa' |
| {"step": 71, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.12873777522143598, "tokens": 120000, "cumulative_loss_tokens": 8520000, "grad_norm": 0.390625, "lr": 3e-05, "finish_rate": 0.732, "comp_len": 574.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 209}, "mem_gb": 10.12} |
| {"step": 72, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09841357960260162, "tokens": 120000, "cumulative_loss_tokens": 8640000, "grad_norm": 0.353515625, "lr": 3e-05, "finish_rate": 0.855, "comp_len": 510.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.1, "frames": {"chat": 235}, "mem_gb": 9.96} |
| {"step": 73, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09810730254290005, "tokens": 120000, "cumulative_loss_tokens": 8760000, "grad_norm": 0.349609375, "lr": 3e-05, "finish_rate": 0.74, "comp_len": 588.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.7, "frames": {"chat": 204}, "mem_gb": 9.95} |
| {"step": 74, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.137890988603731, "tokens": 120000, "cumulative_loss_tokens": 8880000, "grad_norm": 0.41796875, "lr": 3e-05, "finish_rate": 0.745, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.1, "frames": {"chat": 208}, "mem_gb": 10.01} |
| {"step": 75, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10093486693870897, "tokens": 120000, "cumulative_loss_tokens": 9000000, "grad_norm": 0.34375, "lr": 3e-05, "finish_rate": 0.825, "comp_len": 500.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.8, "frames": {"chat": 240}, "mem_gb": 10.0} |
| {"step": 76, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11269029565745343, "tokens": 120000, "cumulative_loss_tokens": 9120000, "grad_norm": 0.427734375, "lr": 3e-05, "finish_rate": 0.89, "comp_len": 487.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.9, "frames": {"chat": 246}, "mem_gb": 9.99} |
| {"step": 77, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11716039955631519, "tokens": 120000, "cumulative_loss_tokens": 9240000, "grad_norm": 0.439453125, "lr": 3e-05, "finish_rate": 0.909, "comp_len": 493.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 243}, "mem_gb": 9.81} |
| {"step": 78, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.14083528584881375, "tokens": 120000, "cumulative_loss_tokens": 9360000, "grad_norm": 0.4375, "lr": 3e-05, "finish_rate": 0.745, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.7, "frames": {"chat": 208}, "mem_gb": 10.01} |
| {"step": 79, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11617199123160293, "tokens": 120000, "cumulative_loss_tokens": 9480000, "grad_norm": 0.3359375, "lr": 3e-05, "finish_rate": 0.817, "comp_len": 547.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 219}, "mem_gb": 10.0} |
| {"step": 80, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.13478537587194392, "tokens": 120000, "cumulative_loss_tokens": 9600000, "grad_norm": 0.408203125, "lr": 3e-05, "finish_rate": 0.782, "comp_len": 568.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 211}, "mem_gb": 10.01} |
| [eval step 80] sample: 'To solve this problem, we need to analyze the arrangement of numbers on a square grid and determine how many of the numbers on the same diagonal as the number \\(7\\) are prime.\n\n### Steps to Solve the ' |
| {"step": 81, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10429689287121097, "tokens": 120000, "cumulative_loss_tokens": 9720000, "grad_norm": 0.3671875, "lr": 3e-05, "finish_rate": 0.862, "comp_len": 517.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.3, "frames": {"chat": 232}, "mem_gb": 9.97} |
| {"step": 82, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.12193509586900472, "tokens": 120000, "cumulative_loss_tokens": 9840000, "grad_norm": 0.39453125, "lr": 3e-05, "finish_rate": 0.804, "comp_len": 560.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 214}, "mem_gb": 10.01} |
| {"step": 83, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10920041576723258, "tokens": 120000, "cumulative_loss_tokens": 9960000, "grad_norm": 0.376953125, "lr": 3e-05, "finish_rate": 0.819, "comp_len": 531.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.1, "frames": {"chat": 226}, "mem_gb": 9.9} |
| {"step": 84, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1078172554230628, "tokens": 120000, "cumulative_loss_tokens": 10080000, "grad_norm": 0.38671875, "lr": 3e-05, "finish_rate": 0.819, "comp_len": 571.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 210}, "mem_gb": 10.01} |
| {"step": 85, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09039803395358224, "tokens": 120000, "cumulative_loss_tokens": 10200000, "grad_norm": 1.125, "lr": 3e-05, "finish_rate": 0.858, "comp_len": 550.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 218}, "mem_gb": 9.83} |
| {"step": 86, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09356577665278067, "tokens": 120000, "cumulative_loss_tokens": 10320000, "grad_norm": 0.33203125, "lr": 3e-05, "finish_rate": 0.858, "comp_len": 515.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 233}, "mem_gb": 9.99} |
| {"step": 87, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.12304461509076257, "tokens": 120000, "cumulative_loss_tokens": 10440000, "grad_norm": 0.380859375, "lr": 3e-05, "finish_rate": 0.786, "comp_len": 558.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.4, "frames": {"chat": 215}, "mem_gb": 10.01} |
| {"step": 88, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1115369677213952, "tokens": 120000, "cumulative_loss_tokens": 10560000, "grad_norm": 0.365234375, "lr": 3e-05, "finish_rate": 0.845, "comp_len": 515.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 233}, "mem_gb": 9.99} |
| {"step": 89, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09695998856667429, "tokens": 120000, "cumulative_loss_tokens": 10680000, "grad_norm": 0.365234375, "lr": 3e-05, "finish_rate": 0.766, "comp_len": 574.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.2, "frames": {"chat": 209}, "mem_gb": 9.94} |
| {"step": 90, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09343226164858788, "tokens": 120000, "cumulative_loss_tokens": 10800000, "grad_norm": 0.326171875, "lr": 3e-05, "finish_rate": 0.908, "comp_len": 458.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 35.1, "frames": {"chat": 262}, "mem_gb": 9.87} |
| [eval step 90] sample: 'To solve this problem, we need to analyze the arrangement of numbers on a square grid and determine how many of the numbers in the shaded squares on the same diagonal as the number \\(7\\) are prime.\n\nL' |
| {"step": 91, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.0932332858821998, "tokens": 120000, "cumulative_loss_tokens": 10920000, "grad_norm": 0.32421875, "lr": 3e-05, "finish_rate": 0.9, "comp_len": 481.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.3, "frames": {"chat": 249}, "mem_gb": 9.96} |
| {"step": 92, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1266877316886559, "tokens": 120000, "cumulative_loss_tokens": 11040000, "grad_norm": 0.390625, "lr": 3e-05, "finish_rate": 0.819, "comp_len": 528.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.7, "frames": {"chat": 227}, "mem_gb": 10.0} |
| {"step": 93, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10181538004527489, "tokens": 120000, "cumulative_loss_tokens": 11160000, "grad_norm": 0.361328125, "lr": 3e-05, "finish_rate": 0.814, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 221}, "mem_gb": 9.99} |
| {"step": 94, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10009486745695273, "tokens": 120000, "cumulative_loss_tokens": 11280000, "grad_norm": 0.3515625, "lr": 3e-05, "finish_rate": 0.859, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.7, "frames": {"chat": 234}, "mem_gb": 10.01} |
| {"step": 95, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.08687792688549185, "tokens": 120000, "cumulative_loss_tokens": 11400000, "grad_norm": 0.310546875, "lr": 3e-05, "finish_rate": 0.817, "comp_len": 563.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.5, "frames": {"chat": 213}, "mem_gb": 9.96} |
| {"step": 96, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.08524717839102572, "tokens": 120000, "cumulative_loss_tokens": 11520000, "grad_norm": 0.328125, "lr": 3e-05, "finish_rate": 0.836, "comp_len": 563.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.7, "frames": {"chat": 213}, "mem_gb": 9.89} |
| {"step": 97, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10703749001209313, "tokens": 120000, "cumulative_loss_tokens": 11640000, "grad_norm": 0.400390625, "lr": 3e-05, "finish_rate": 0.906, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.1, "frames": {"chat": 234}, "mem_gb": 9.92} |
| {"step": 98, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10287342213264977, "tokens": 120000, "cumulative_loss_tokens": 11760000, "grad_norm": 0.353515625, "lr": 3e-05, "finish_rate": 0.793, "comp_len": 540.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.0, "frames": {"chat": 222}, "mem_gb": 9.99} |
| {"step": 99, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11010189882616202, "tokens": 120000, "cumulative_loss_tokens": 11880000, "grad_norm": 0.36328125, "lr": 3e-05, "finish_rate": 0.806, "comp_len": 528.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 36.3, "frames": {"chat": 227}, "mem_gb": 10.01} |
| {"step": 100, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.10967375374240801, "tokens": 120000, "cumulative_loss_tokens": 12000000, "grad_norm": 0.37109375, "lr": 3e-05, "finish_rate": 0.835, "comp_len": 550.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.5, "frames": {"chat": 218}, "mem_gb": 10.04} |
| [eval step 100] sample: "To solve this problem, we need to understand the arrangement of numbers on the square grid and how the numbers are placed based on their positions. Here's a step-by-step approach:\n\n1. **Understand the" |
| checkpoint snapshot queued -> outputs/healed/grid_math/glean_keep25_s1225/step0100 |
| {"step": 101, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11762644656381259, "tokens": 120000, "cumulative_loss_tokens": 12120000, "grad_norm": 0.37109375, "lr": 3e-05, "finish_rate": 0.798, "comp_len": 538.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.3, "frames": {"chat": 223}, "mem_gb": 10.01} |
| {"step": 102, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.11568864874821157, "tokens": 120000, "cumulative_loss_tokens": 12240000, "grad_norm": 0.37890625, "lr": 3e-05, "finish_rate": 0.772, "comp_len": 582.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.1, "frames": {"chat": 206}, "mem_gb": 10.01} |
| {"step": 103, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09638762137287607, "tokens": 120000, "cumulative_loss_tokens": 12360000, "grad_norm": 0.37109375, "lr": 3e-05, "finish_rate": 0.784, "comp_len": 563.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.2, "frames": {"chat": 213}, "mem_gb": 9.92} |
| {"step": 104, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.13616388885583727, "tokens": 120000, "cumulative_loss_tokens": 12480000, "grad_norm": 0.400390625, "lr": 3e-05, "finish_rate": 0.843, "comp_len": 538.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 223}, "mem_gb": 9.86} |
| {"step": 105, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.1067974968187511, "tokens": 120000, "cumulative_loss_tokens": 12600000, "grad_norm": 0.333984375, "lr": 3e-05, "finish_rate": 0.828, "comp_len": 528.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.6, "frames": {"chat": 227}, "mem_gb": 9.97} |
| {"step": 106, "epoch": 1, "training_mode": "off-policy", "forward_topk_kl": 0.09873509239495422, "tokens": 120000, "cumulative_loss_tokens": 12720000, "grad_norm": 0.3671875, "lr": 3e-05, "finish_rate": 0.889, "comp_len": 474.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 253}, "mem_gb": 10.0} |
| {"step": 107, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.11062951422066739, "tokens": 120000, "cumulative_loss_tokens": 12840000, "grad_norm": 0.396484375, "lr": 3e-05, "finish_rate": 0.792, "comp_len": 555.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.0, "frames": {"chat": 216}, "mem_gb": 10.01} |
| {"step": 108, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08701037775237734, "tokens": 120000, "cumulative_loss_tokens": 12960000, "grad_norm": 0.353515625, "lr": 3e-05, "finish_rate": 0.766, "comp_len": 585.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.8, "frames": {"chat": 205}, "mem_gb": 9.98} |
| {"step": 109, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.11230816109282896, "tokens": 120000, "cumulative_loss_tokens": 13080000, "grad_norm": 0.337890625, "lr": 3e-05, "finish_rate": 0.729, "comp_len": 579.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.9, "frames": {"chat": 207}, "mem_gb": 10.06} |
| {"step": 110, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.09889225037389746, "tokens": 120000, "cumulative_loss_tokens": 13200000, "grad_norm": 0.32421875, "lr": 3e-05, "finish_rate": 0.814, "comp_len": 558.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.1, "frames": {"chat": 215}, "mem_gb": 9.98} |
| [eval step 110] sample: "To solve this problem, we need to analyze the spiral pattern of numbers on a square grid and determine which of the four shaded squares contain prime numbers. Here's a step-by-step approach:\n\n1. **Und" |
| {"step": 111, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07409078115209317, "tokens": 120000, "cumulative_loss_tokens": 13320000, "grad_norm": 0.38671875, "lr": 3e-05, "finish_rate": 0.86, "comp_len": 526.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.0, "frames": {"chat": 228}, "mem_gb": 10.0} |
| {"step": 112, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08839880903875455, "tokens": 120000, "cumulative_loss_tokens": 13440000, "grad_norm": 0.32421875, "lr": 3e-05, "finish_rate": 0.747, "comp_len": 543.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.4, "frames": {"chat": 221}, "mem_gb": 10.04} |
| {"step": 113, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06728584335437045, "tokens": 120000, "cumulative_loss_tokens": 13560000, "grad_norm": 0.29296875, "lr": 3e-05, "finish_rate": 0.882, "comp_len": 472.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.2, "frames": {"chat": 254}, "mem_gb": 9.84} |
| {"step": 114, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06614433599614228, "tokens": 120000, "cumulative_loss_tokens": 13680000, "grad_norm": 0.314453125, "lr": 3e-05, "finish_rate": 0.843, "comp_len": 571.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.0, "frames": {"chat": 210}, "mem_gb": 9.97} |
| {"step": 115, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07396190701468537, "tokens": 120000, "cumulative_loss_tokens": 13800000, "grad_norm": 0.283203125, "lr": 3e-05, "finish_rate": 0.827, "comp_len": 531.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.3, "frames": {"chat": 226}, "mem_gb": 9.92} |
| {"step": 116, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08188189537149544, "tokens": 120000, "cumulative_loss_tokens": 13920000, "grad_norm": 0.30859375, "lr": 3e-05, "finish_rate": 0.802, "comp_len": 566.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 212}, "mem_gb": 9.99} |
| {"step": 117, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.09220475707668811, "tokens": 120000, "cumulative_loss_tokens": 14040000, "grad_norm": 0.333984375, "lr": 3e-05, "finish_rate": 0.754, "comp_len": 568.7, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.8, "frames": {"chat": 211}, "mem_gb": 9.93} |
| {"step": 118, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0956091513237295, "tokens": 120000, "cumulative_loss_tokens": 14160000, "grad_norm": 0.337890625, "lr": 3e-05, "finish_rate": 0.776, "comp_len": 612.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 30.5, "frames": {"chat": 196}, "mem_gb": 9.97} |
| {"step": 119, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07131106523716202, "tokens": 120000, "cumulative_loss_tokens": 14280000, "grad_norm": 0.28515625, "lr": 3e-05, "finish_rate": 0.811, "comp_len": 566.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.1, "frames": {"chat": 212}, "mem_gb": 10.0} |
| {"step": 120, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0689470173562877, "tokens": 120000, "cumulative_loss_tokens": 14400000, "grad_norm": 0.265625, "lr": 3e-05, "finish_rate": 0.877, "comp_len": 491.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.9, "frames": {"chat": 244}, "mem_gb": 9.91} |
| [eval step 120] sample: "To solve this problem, we need to analyze the spiral pattern of numbers on a square grid and determine which of the four shaded squares contain prime numbers. Here's a step-by-step approach:\n\n1. **Und" |
| {"step": 121, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07394362696452687, "tokens": 120000, "cumulative_loss_tokens": 14520000, "grad_norm": 1.6484375, "lr": 3e-05, "finish_rate": 0.838, "comp_len": 540.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.6, "frames": {"chat": 222}, "mem_gb": 9.95} |
| {"step": 122, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07991834989693015, "tokens": 120000, "cumulative_loss_tokens": 14640000, "grad_norm": 0.296875, "lr": 3e-05, "finish_rate": 0.78, "comp_len": 550.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.4, "frames": {"chat": 218}, "mem_gb": 10.0} |
| {"step": 123, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08040042725556219, "tokens": 120000, "cumulative_loss_tokens": 14760000, "grad_norm": 0.2890625, "lr": 3e-05, "finish_rate": 0.913, "comp_len": 476.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 35.3, "frames": {"chat": 252}, "mem_gb": 9.88} |
| {"step": 124, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08868840474116926, "tokens": 120000, "cumulative_loss_tokens": 14880000, "grad_norm": 0.337890625, "lr": 3e-05, "finish_rate": 0.728, "comp_len": 594.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.8, "frames": {"chat": 202}, "mem_gb": 10.05} |
| {"step": 125, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.09232083391323685, "tokens": 120000, "cumulative_loss_tokens": 15000000, "grad_norm": 0.318359375, "lr": 3e-05, "finish_rate": 0.835, "comp_len": 506.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.5, "frames": {"chat": 237}, "mem_gb": 10.0} |
| {"step": 126, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08302971795774065, "tokens": 120000, "cumulative_loss_tokens": 15120000, "grad_norm": 0.298828125, "lr": 3e-05, "finish_rate": 0.868, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.7, "frames": {"chat": 234}, "mem_gb": 9.99} |
| {"step": 127, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0661788280802158, "tokens": 120000, "cumulative_loss_tokens": 15240000, "grad_norm": 0.27734375, "lr": 3e-05, "finish_rate": 0.809, "comp_len": 558.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.6, "frames": {"chat": 215}, "mem_gb": 10.0} |
| {"step": 128, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0645129962954515, "tokens": 120000, "cumulative_loss_tokens": 15360000, "grad_norm": 0.283203125, "lr": 3e-05, "finish_rate": 0.876, "comp_len": 512.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.0, "frames": {"chat": 234}, "mem_gb": 9.93} |
| {"step": 129, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06428662312957459, "tokens": 120000, "cumulative_loss_tokens": 15480000, "grad_norm": 0.267578125, "lr": 3e-05, "finish_rate": 0.801, "comp_len": 555.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.8, "frames": {"chat": 216}, "mem_gb": 9.99} |
| {"step": 130, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07294256055513397, "tokens": 120000, "cumulative_loss_tokens": 15600000, "grad_norm": 0.287109375, "lr": 3e-05, "finish_rate": 0.805, "comp_len": 571.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.4, "frames": {"chat": 210}, "mem_gb": 9.95} |
| [eval step 130] sample: "To solve this problem, we need to analyze the spiral pattern of numbers on a square grid and determine which of the four shaded squares contain prime numbers. Here's a step-by-step approach:\n\n1. **Und" |
| {"step": 131, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08209835358545339, "tokens": 120000, "cumulative_loss_tokens": 15720000, "grad_norm": 0.306640625, "lr": 3e-05, "finish_rate": 0.719, "comp_len": 603.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.4, "frames": {"chat": 199}, "mem_gb": 10.0} |
| {"step": 132, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07414536922099069, "tokens": 120000, "cumulative_loss_tokens": 15840000, "grad_norm": 0.287109375, "lr": 3e-05, "finish_rate": 0.824, "comp_len": 571.4, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.1, "frames": {"chat": 210}, "mem_gb": 10.01} |
| {"step": 133, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07274689665936554, "tokens": 120000, "cumulative_loss_tokens": 15960000, "grad_norm": 0.30078125, "lr": 3e-05, "finish_rate": 0.902, "comp_len": 533.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.3, "frames": {"chat": 225}, "mem_gb": 9.95} |
| {"step": 134, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07239032591326783, "tokens": 120000, "cumulative_loss_tokens": 16080000, "grad_norm": 0.275390625, "lr": 3e-05, "finish_rate": 0.913, "comp_len": 474.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.3, "frames": {"chat": 253}, "mem_gb": 9.85} |
| {"step": 135, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0755888467406854, "tokens": 120000, "cumulative_loss_tokens": 16200000, "grad_norm": 0.2890625, "lr": 3e-05, "finish_rate": 0.903, "comp_len": 485.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.7, "frames": {"chat": 247}, "mem_gb": 9.97} |
| {"step": 136, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0824168190576757, "tokens": 120000, "cumulative_loss_tokens": 16320000, "grad_norm": 0.3125, "lr": 3e-05, "finish_rate": 0.836, "comp_len": 504.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.5, "frames": {"chat": 238}, "mem_gb": 9.97} |
| {"step": 137, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.09111157214685033, "tokens": 120000, "cumulative_loss_tokens": 16440000, "grad_norm": 0.326171875, "lr": 3e-05, "finish_rate": 0.86, "comp_len": 510.6, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.9, "frames": {"chat": 235}, "mem_gb": 10.0} |
| {"step": 138, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08819460893472035, "tokens": 120000, "cumulative_loss_tokens": 16560000, "grad_norm": 0.337890625, "lr": 3e-05, "finish_rate": 0.805, "comp_len": 558.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.9, "frames": {"chat": 215}, "mem_gb": 9.97} |
| {"step": 139, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07084991472096493, "tokens": 120000, "cumulative_loss_tokens": 16680000, "grad_norm": 0.298828125, "lr": 3e-05, "finish_rate": 0.925, "comp_len": 447.8, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.4, "frames": {"chat": 268}, "mem_gb": 9.97} |
| {"step": 140, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07839255714469279, "tokens": 120000, "cumulative_loss_tokens": 16800000, "grad_norm": 0.287109375, "lr": 3e-05, "finish_rate": 0.825, "comp_len": 526.3, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.4, "frames": {"chat": 228}, "mem_gb": 10.0} |
| [eval step 140] sample: "To solve this problem, we need to analyze the spiral pattern of numbers on the square grid and determine which of the four shaded squares contain prime numbers. Here's a step-by-step approach:\n\n1. **U" |
| {"step": 141, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07923957366729155, "tokens": 120000, "cumulative_loss_tokens": 16920000, "grad_norm": 0.296875, "lr": 3e-05, "finish_rate": 0.881, "comp_len": 476.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.2, "frames": {"chat": 252}, "mem_gb": 9.93} |
| {"step": 142, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07850046219552556, "tokens": 120000, "cumulative_loss_tokens": 17040000, "grad_norm": 0.3203125, "lr": 3e-05, "finish_rate": 0.821, "comp_len": 538.1, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 31.9, "frames": {"chat": 223}, "mem_gb": 10.01} |
| {"step": 143, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0933897839378876, "tokens": 120000, "cumulative_loss_tokens": 17160000, "grad_norm": 0.33984375, "lr": 3e-05, "finish_rate": 0.805, "comp_len": 531.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.6, "frames": {"chat": 226}, "mem_gb": 10.0} |
| {"step": 144, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.09283627185517301, "tokens": 120000, "cumulative_loss_tokens": 17280000, "grad_norm": 0.33203125, "lr": 3e-05, "finish_rate": 0.731, "comp_len": 576.9, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 35.1, "frames": {"chat": 208}, "mem_gb": 10.05} |
| {"step": 145, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06709443831786824, "tokens": 120000, "cumulative_loss_tokens": 17400000, "grad_norm": 0.2734375, "lr": 3e-05, "finish_rate": 0.883, "comp_len": 500.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 33.7, "frames": {"chat": 240}, "mem_gb": 9.93} |
| {"step": 146, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.08292833760709813, "tokens": 120000, "cumulative_loss_tokens": 17520000, "grad_norm": 0.28515625, "lr": 3e-05, "finish_rate": 0.842, "comp_len": 540.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 222}, "mem_gb": 9.93} |
| {"step": 147, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06971678353363338, "tokens": 120000, "cumulative_loss_tokens": 17640000, "grad_norm": 4.125, "lr": 3e-05, "finish_rate": 0.881, "comp_len": 508.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.8, "frames": {"chat": 236}, "mem_gb": 10.0} |
| {"step": 148, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.06898172454525096, "tokens": 120000, "cumulative_loss_tokens": 17760000, "grad_norm": 0.2890625, "lr": 3e-05, "finish_rate": 0.834, "comp_len": 553.0, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.1, "frames": {"chat": 217}, "mem_gb": 9.96} |
| {"step": 149, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.07392021829135095, "tokens": 120000, "cumulative_loss_tokens": 17880000, "grad_norm": 0.345703125, "lr": 3e-05, "finish_rate": 0.921, "comp_len": 476.2, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 34.0, "frames": {"chat": 252}, "mem_gb": 9.88} |
| {"step": 150, "epoch": 2, "training_mode": "off-policy", "forward_topk_kl": 0.0710504538111544, "tokens": 120000, "cumulative_loss_tokens": 18000000, "grad_norm": 0.28515625, "lr": 3e-05, "finish_rate": 0.847, "comp_len": 540.5, "t_data_s": 0.0, "t_rollout_s": 0.0, "t_step_s": 32.3, "frames": {"chat": 222}, "mem_gb": 9.99} |
| [eval step 150] sample: "To solve this problem, we need to analyze the spiral pattern of numbers on a square grid and determine which of the four shaded squares contain prime numbers. Here's a step-by-step approach:\n\n1. **Und" |
| checkpoint snapshot queued -> outputs/healed/grid_math/glean_keep25_s1225/step0150 |
| wandb: updating run metadata |
| wandb: uploading summary, console lines 170-170 |
| wandb: |
| wandb: Run history: |
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| wandb: finish_rate βββββββ
βββββ
ββββ
βββ
ββββββ
βββββ
ββββββββββ
|
| wandb: forward_topk_kl ββββββββββββββββββββββββββββββββββββββββ |
| wandb: grad_norm ββββββββββββββββββββββββββββββββββββββββ |
| wandb: lr βββ
βββββββββββββββββββββββββββββββββββββ |
| wandb: mem_gb ββββββββββββ
ββββββ
βββββββ
ββ
βββββ
βββββββ
β |
| wandb: step βββββββββββββββββββ
β
β
β
β
β
β
βββββββββββββββ |
| wandb: t_data_s ββββββββββββββββββββββββββββββββββββββββ |
| wandb: +3 ... |
| wandb: |
| wandb: Run summary: |
| wandb: comp_len 540.5 |
| wandb: cumulative_loss_tokens 18000000 |
| wandb: epoch 2 |
| wandb: finish_rate 0.847 |
| wandb: forward_topk_kl 0.07105 |
| wandb: grad_norm 0.28516 |
| wandb: lr 3e-05 |
| wandb: mem_gb 9.99 |
| wandb: step 150 |
| wandb: t_data_s 0 |
| wandb: +4 ... |
| wandb: |
| wandb: π View run glean-math-keep25-s1225 at: https: |
| wandb: βοΈ View project at: https: |
| wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) |
| wandb: Find logs at: outputs/healed/grid_math/glean_keep25_s1225/wandb/run-20260716_034843-v3mah2z8/logs |
| { |
| "correct": 560, |
| "accuracy": 0.4245640636846095, |
| "finished": 1259, |
| "finish_rate": 0.954510993176649, |
| "mean_completion_tokens": 173.51023502653524 |
| } |
| saved item-level results -> outputs/evals/grid_math/glean_keep25_s1225_step100_chat.json |
| { |
| "correct": 564, |
| "accuracy": 0.4275966641394996, |
| "finished": 1270, |
| "finish_rate": 0.9628506444275967, |
| "mean_completion_tokens": 173.10007581501137 |
| } |
| saved item-level results -> outputs/evals/grid_math/glean_keep25_s1225_step150_chat.json |
|
|