| {"timestamp": 1787808703.155234, "elapsed_hours": 0.002664805385801527, "event": "start", "config": {"vocab_size": 50304, "d_model": 896, "n_layers": 18, "n_heads": 14, "n_kv_heads": 2, "max_len": 2048, "rope_theta": 500000.0, "window_size": 512, "pattern_mult": 2.5, "reason_mult": 0.75, "reason_depth": 2, "gate_hidden": 64, "gate_init": 0.0, "diff_lambda_init": 0.8, "tie_embeddings": true, "sft_lr": 3e-05, "sft_min_lr": 3e-06, "warmup": 250, "epochs": 60, "micro_batch": 2, "grad_accum": 2, "grad_clip": 1.0, "wd": 0.01, "log_every": 20, "sample_every": 150, "ckpt_every": 750, "max_hours": 11.0, "max_examples": 1096, "end_token_weight": 15.0, "tag_close_weight": 20.0, "tag_open_weight": 15.0, "min_thinking_chars": 80, "min_reasoning_chars": 60, "early_stop_window": 6, "early_stop_open_pct": 80.0, "early_stop_close_pct": 80.0, "early_stop_end_pct": 80.0, "early_stop_reason_pct": 70.0, "early_stop_min_samples": 12}, "n_examples": 1094} |
| {"timestamp": 1787808707.64764, "elapsed_hours": 0.0039126958449681596, "event": "step", "step": 20, "loss": 4.714172577857971, "lr": 2.4000000000000003e-06} |
| {"timestamp": 1787808711.40895, "elapsed_hours": 0.004957504140006171, "event": "step", "step": 40, "loss": 4.657363996505738, "lr": 4.800000000000001e-06} |
| {"timestamp": 1787808715.3049166, "elapsed_hours": 0.006039717064963447, "event": "step", "step": 60, "loss": 4.706559219360352, "lr": 7.2e-06} |
| {"timestamp": 1787808719.4401288, "elapsed_hours": 0.0071883869833416405, "event": "step", "step": 80, "loss": 4.636318368911743, "lr": 9.600000000000001e-06} |
| {"timestamp": 1787808723.4803655, "elapsed_hours": 0.008310675157441032, "event": "step", "step": 100, "loss": 4.663666443824768, "lr": 1.2e-05} |
| {"timestamp": 1787808727.5171497, "elapsed_hours": 0.00943200389544169, "event": "step", "step": 120, "loss": 4.699098863601685, "lr": 1.44e-05} |
| {"timestamp": 1787808731.275767, "elapsed_hours": 0.010476064284642537, "event": "step", "step": 140, "loss": 4.694115505218506, "lr": 1.68e-05} |
| {"timestamp": 1787808737.640371, "elapsed_hours": 0.012244009839163886, "event": "sample", "step": 150, "prompt": "What is the time complexity of binary search and why?", "sample": "In binary search, each element in the array is matched by a key and its position. The key will be labeled with the value that represents the element to look for (e.g., \"a\", \"b\"). \nTo avoid this, we can define a helper function `is_card()` that checks if the key is present in the array. If it is not, then we return true; otherwise, we call `is_card()` with this function as part of a binary search operation.\nHere is the Python code to solve this problem:\n```python\ndef is_card(arr): # Initialize a", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808739.4632154, "elapsed_hours": 0.012750355535083347, "event": "step", "step": 160, "loss": 4.707964038848877, "lr": 1.9200000000000003e-05} |
| {"timestamp": 1787808743.527463, "elapsed_hours": 0.013879313204023573, "event": "step", "step": 180, "loss": 4.675439863204956, "lr": 2.16e-05} |
| {"timestamp": 1787808747.241346, "elapsed_hours": 0.014910947216881645, "event": "step", "step": 200, "loss": 4.670845384597778, "lr": 2.4e-05} |
| {"timestamp": 1787808751.009353, "elapsed_hours": 0.015957615905337865, "event": "step", "step": 220, "loss": 4.735430660247803, "lr": 2.64e-05} |
| {"timestamp": 1787808755.142167, "elapsed_hours": 0.01710561990737915, "event": "step", "step": 240, "loss": 4.763897209167481, "lr": 2.88e-05} |
| {"timestamp": 1787808759.0838761, "elapsed_hours": 0.018200539151827493, "event": "step", "step": 260, "loss": 4.654176187515259, "lr": 2.9999979259477593e-05} |
| {"timestamp": 1787808762.9012907, "elapsed_hours": 0.01926093207465278, "event": "step", "step": 280, "loss": 4.639386739730835, "lr": 2.9999784657562478e-05} |
| {"timestamp": 1787808766.7754402, "elapsed_hours": 0.020337084730466207, "event": "step", "step": 300, "loss": 4.594072027206421, "lr": 2.9999385214455706e-05} |
| {"timestamp": 1787808766.887296, "elapsed_hours": 0.02036815557214949, "event": "sample", "step": 300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Python's string????<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808770.769933, "elapsed_hours": 0.021446666055255467, "event": "step", "step": 320, "loss": 4.546386213302612, "lr": 2.99987809362183e-05} |
| {"timestamp": 1787808774.6268847, "elapsed_hours": 0.022518041531244915, "event": "step", "step": 340, "loss": 4.5741988563537594, "lr": 2.9997971832019356e-05} |
| {"timestamp": 1787808778.7788186, "elapsed_hours": 0.02367135637336307, "event": "step", "step": 360, "loss": 4.631996192932129, "lr": 2.999695791413596e-05} |
| {"timestamp": 1787808782.5762262, "elapsed_hours": 0.024726192090246412, "event": "step", "step": 380, "loss": 4.62584969997406, "lr": 2.9995739197952963e-05} |
| {"timestamp": 1787808786.5320663, "elapsed_hours": 0.025825036234325832, "event": "step", "step": 400, "loss": 4.589993314743042, "lr": 2.9994315701962752e-05} |
| {"timestamp": 1787808790.218623, "elapsed_hours": 0.026849079993036058, "event": "step", "step": 420, "loss": 4.638822603225708, "lr": 2.9992687447764973e-05} |
| {"timestamp": 1787808794.6528797, "elapsed_hours": 0.02808081779215071, "event": "step", "step": 440, "loss": 4.582927665710449, "lr": 2.9990854460066215e-05} |
| {"timestamp": 1787808801.2807627, "elapsed_hours": 0.029921896391444738, "event": "sample", "step": 450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a collection of elements that store data and is not provided in the original code. This refers to an array with some inner objects being used for operations on arrays, such as get-array or swap-array. The queue can store data (with a stack) and is not provided as a placeholder for \"curve\" operations on arrays, which are used to keep track of the number of elements in the stack.\n\nThe total space complexity between items is O(n), where n is the size of the item set and, therefore, looku", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808803.176591, "elapsed_hours": 0.030448515481419032, "event": "step", "step": 460, "loss": 4.574243745803833, "lr": 2.9988816766679604e-05} |
| {"timestamp": 1787808806.9866698, "elapsed_hours": 0.031506870653894216, "event": "step", "step": 480, "loss": 4.553457884788513, "lr": 2.9986574398524425e-05} |
| {"timestamp": 1787808810.9003127, "elapsed_hours": 0.03259399367703332, "event": "step", "step": 500, "loss": 4.571634583473205, "lr": 2.998412738962562e-05} |
| {"timestamp": 1787808814.7263453, "elapsed_hours": 0.033656780587302315, "event": "step", "step": 520, "loss": 4.560200099945068, "lr": 2.9981475777113267e-05} |
| {"timestamp": 1787808818.7669294, "elapsed_hours": 0.034779164923561944, "event": "step", "step": 540, "loss": 4.5817553901672365, "lr": 2.9978619601222058e-05} |
| {"timestamp": 1787808822.70866, "elapsed_hours": 0.03587408999602, "event": "step", "step": 560, "loss": 4.581412568092346, "lr": 2.997555890529063e-05} |
| {"timestamp": 1787808826.482381, "elapsed_hours": 0.03692234608862135, "event": "step", "step": 580, "loss": 4.561117043495178, "lr": 2.9972293735760958e-05} |
| {"timestamp": 1787808830.51365, "elapsed_hours": 0.0380421429210239, "event": "step", "step": 600, "loss": 4.569213371276856, "lr": 2.996882414217764e-05} |
| {"timestamp": 1787808834.9899008, "elapsed_hours": 0.03928554581271278, "event": "sample", "step": 600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "You can solve this problem using Python. Here is a simple function to find the maximum element in an array:\n\n```python\ndef max_elements(arr): \n for i in range(len(arr) - 1, 0, -1): \n for j in range(i+1, len(arr)+1): \n if arr[j] > arr[i]: \n max_elements(arr[j], i+1) \n```\nLet's test this function with your example:\n\n```python\nlist_lst = [2, 3, 4] # find maximum value in list lst \nmax_elements(list_lst) # return the minimum element with max value found\n```<|im_", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808838.65252, "elapsed_hours": 0.040302940011024475, "event": "step", "step": 620, "loss": 4.5597122764587406, "lr": 2.99651501771871e-05} |
| {"timestamp": 1787808842.735406, "elapsed_hours": 0.04143707513809204, "event": "step", "step": 640, "loss": 4.568945474624634, "lr": 2.996127189653686e-05} |
| {"timestamp": 1787808846.7724721, "elapsed_hours": 0.04255848242176904, "event": "step", "step": 660, "loss": 4.556684284210205, "lr": 2.9957189359074642e-05} |
| {"timestamp": 1787808850.6452148, "elapsed_hours": 0.04363424413734012, "event": "step", "step": 680, "loss": 4.552625846862793, "lr": 2.9952902626747502e-05} |
| {"timestamp": 1787808854.6322064, "elapsed_hours": 0.04474174201488495, "event": "step", "step": 700, "loss": 4.462784051895142, "lr": 2.994841176460087e-05} |
| {"timestamp": 1787808858.5547104, "elapsed_hours": 0.04583132631248898, "event": "step", "step": 720, "loss": 4.475967049598694, "lr": 2.9943716840777575e-05} |
| {"timestamp": 1787808862.4405332, "elapsed_hours": 0.04691072172588772, "event": "step", "step": 740, "loss": 4.52678927898407, "lr": 2.9938817926516817e-05} |
| {"timestamp": 1787808866.7587354, "elapsed_hours": 0.04811022215419346, "event": "sample", "step": 750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n if n < 1:\n return f\"The Fibonacci number is {fibonacci(n-1)}.\"\n else:\n return f\"The Fibonacci number with the same last two numbers is {fibonacci(n)}.\"\n\n# Test the function \nprint(fibonacci(\"5\")) # Output: The numbers 5, 6, 2, 1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808876.549722, "elapsed_hours": 0.050829940769407486, "event": "step", "step": 760, "loss": 4.544938139915466, "lr": 2.9933715096153075e-05} |
| {"timestamp": 1787808880.4596264, "elapsed_hours": 0.05191602528095245, "event": "step", "step": 780, "loss": 4.509860801696777, "lr": 2.9928408427114973e-05} |
| {"timestamp": 1787808884.199449, "elapsed_hours": 0.05295486489931742, "event": "step", "step": 800, "loss": 4.530729951858521, "lr": 2.9922897999924125e-05} |
| {"timestamp": 1787808888.1062584, "elapsed_hours": 0.0540400896469752, "event": "step", "step": 820, "loss": 4.543831777572632, "lr": 2.9917183898193906e-05} |
| {"timestamp": 1787808892.0162346, "elapsed_hours": 0.05512619429164463, "event": "step", "step": 840, "loss": 4.485040349960327, "lr": 2.991126620862816e-05} |
| {"timestamp": 1787808895.8179765, "elapsed_hours": 0.05618223362498813, "event": "step", "step": 860, "loss": 4.495310258865357, "lr": 2.990514502101993e-05} |
| {"timestamp": 1787808899.60255, "elapsed_hours": 0.057233503990703156, "event": "step", "step": 880, "loss": 4.478178634643554, "lr": 2.9898820428250053e-05} |
| {"timestamp": 1787808903.6250238, "elapsed_hours": 0.05835085782739851, "event": "step", "step": 900, "loss": 4.487233943939209, "lr": 2.9892292526285778e-05} |
| {"timestamp": 1787808908.849988, "elapsed_hours": 0.05980223682191637, "event": "sample", "step": 900, "prompt": "What is the time complexity of binary search and why?", "sample": "The problem in detail is to find the time complexity of binary search. This can be done by finding a method that finds all possible pairs (points, thresholds) for an array and checking if each pair is present in the array. The time complexity of binary search can be calculated using the recursion approach, which is a simple recursive algorithm to find all possible pairs (points) in an array.\n\nOne potential technique that can be used with binary search programming is the use of recursion to solve", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808913.094371, "elapsed_hours": 0.06098123206032647, "event": "step", "step": 920, "loss": 4.470988621711731, "lr": 2.9885561414179288e-05} |
| {"timestamp": 1787808916.966437, "elapsed_hours": 0.06205680595503913, "event": "step", "step": 940, "loss": 4.471720175743103, "lr": 2.9878627194066208e-05} |
| {"timestamp": 1787808920.695387, "elapsed_hours": 0.06309262533982594, "event": "step", "step": 960, "loss": 4.468509106636048, "lr": 2.9871489971164077e-05} |
| {"timestamp": 1787808924.456948, "elapsed_hours": 0.06413750350475311, "event": "step", "step": 980, "loss": 4.496580686569214, "lr": 2.9864149853770706e-05} |
| {"timestamp": 1787808928.1510947, "elapsed_hours": 0.06516365528106689, "event": "step", "step": 1000, "loss": 4.531999583244324, "lr": 2.9856606953262566e-05} |
| {"timestamp": 1787808932.3944862, "elapsed_hours": 0.06634237514601814, "event": "step", "step": 1020, "loss": 4.442935943603516, "lr": 2.9848861384093092e-05} |
| {"timestamp": 1787808936.4514036, "elapsed_hours": 0.06746929658783807, "event": "step", "step": 1040, "loss": 4.459021883010864, "lr": 2.9840913263790952e-05} |
| {"timestamp": 1787808947.2249389, "elapsed_hours": 0.07046194533507029, "event": "sample", "step": 1050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n # check if s is a palindrome by checking the length of string \n if len(str(s)) == 0:\n return False\n\n # check length of string, is palindrome by checking the length of s (span)\n if len(str(s[::-1])) > 1:\n return False\n\n # check if s is a palindrome and check the length of s at index 1\n for i in range(len(s)):\n\n # check if the length of s is less than 1, so we do not have to loop\n for j in range(i+1, len(s)):\n\n if s[j]", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808949.1681292, "elapsed_hours": 0.07100172036223941, "event": "step", "step": 1060, "loss": 4.457058806419372, "lr": 2.9832762712958243e-05} |
| {"timestamp": 1787808952.8570497, "elapsed_hours": 0.07202642050054338, "event": "step", "step": 1080, "loss": 4.4834463500976565, "lr": 2.982440985526868e-05} |
| {"timestamp": 1787808956.9445317, "elapsed_hours": 0.07316183222664727, "event": "step", "step": 1100, "loss": 4.511680688858032, "lr": 2.9815854817465732e-05} |
| {"timestamp": 1787808961.2536669, "elapsed_hours": 0.0743588141600291, "event": "step", "step": 1120, "loss": 4.476937270164489, "lr": 2.9807097729360643e-05} |
| {"timestamp": 1787808965.213398, "elapsed_hours": 0.07545873946613736, "event": "step", "step": 1140, "loss": 4.483948783874512, "lr": 2.979813872383054e-05} |
| {"timestamp": 1787808969.1276348, "elapsed_hours": 0.07654602759414249, "event": "step", "step": 1160, "loss": 4.479702596664429, "lr": 2.9788977936816345e-05} |
| {"timestamp": 1787808973.036511, "elapsed_hours": 0.07763182640075683, "event": "step", "step": 1180, "loss": 4.455020236968994, "lr": 2.977961550732077e-05} |
| {"timestamp": 1787808976.782751, "elapsed_hours": 0.07867244866159227, "event": "step", "step": 1200, "loss": 4.509094305038452, "lr": 2.9770051577406172e-05} |
| {"timestamp": 1787808977.3729064, "elapsed_hours": 0.07883638070689307, "event": "sample", "step": 1200, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a collection of elements that are Father's or Father of the same name, while a queue is an infinite list.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787808981.439751, "elapsed_hours": 0.07996605979071723, "event": "step", "step": 1220, "loss": 4.4837799072265625, "lr": 2.97602862921924e-05} |
| {"timestamp": 1787808985.3552322, "elapsed_hours": 0.08105369349320729, "event": "step", "step": 1240, "loss": 4.433430123329162, "lr": 2.9750319799854605e-05} |
| {"timestamp": 1787808989.098793, "elapsed_hours": 0.08209357155693901, "event": "step", "step": 1260, "loss": 4.432310295104981, "lr": 2.9740152251620995e-05} |
| {"timestamp": 1787808992.8835528, "elapsed_hours": 0.08314489371246762, "event": "step", "step": 1280, "loss": 4.469857053756714, "lr": 2.972978380177053e-05} |
| {"timestamp": 1787808996.6903143, "elapsed_hours": 0.0842023272646798, "event": "step", "step": 1300, "loss": 4.472136855125427, "lr": 2.9719214607630567e-05} |
| {"timestamp": 1787809000.4393938, "elapsed_hours": 0.08524373829364777, "event": "step", "step": 1320, "loss": 4.438882527351379, "lr": 2.9708444829574523e-05} |
| {"timestamp": 1787809004.894055, "elapsed_hours": 0.08648114416334364, "event": "step", "step": 1340, "loss": 4.37963707447052, "lr": 2.9697474631019373e-05} |
| {"timestamp": 1787809014.5075924, "elapsed_hours": 0.08915157132678561, "event": "sample", "step": 1350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in a list:\n```python\ndef max_element(list):\n # Remove both elements from list and return the result\n result = []\n\n for i in range(len(list)):\n index = list[i] + 1\n\n # If first element is larger than the next\n if i > index:\n result.append(list[i - 1])\n\n # If second element is smaller than the last\n else:\n result.append(list[i])\n\n return max_element(result)\n```\nHere's an explanation of", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809016.6162362, "elapsed_hours": 0.0897373057074017, "event": "step", "step": 1360, "loss": 4.421267757415771, "lr": 2.968630417842322e-05} |
| {"timestamp": 1787809020.4142904, "elapsed_hours": 0.09079232083426582, "event": "step", "step": 1380, "loss": 4.420205478668213, "lr": 2.9674933641282762e-05} |
| {"timestamp": 1787809024.3004236, "elapsed_hours": 0.09187180214458042, "event": "step", "step": 1400, "loss": 4.503849592208862, "lr": 2.9663363192130705e-05} |
| {"timestamp": 1787809028.542148, "elapsed_hours": 0.09305005901389651, "event": "step", "step": 1420, "loss": 4.507605977058411, "lr": 2.9651593006533138e-05} |
| {"timestamp": 1787809032.3872626, "elapsed_hours": 0.09411814636654324, "event": "step", "step": 1440, "loss": 4.403800206184387, "lr": 2.963962326308692e-05} |
| {"timestamp": 1787809036.1942863, "elapsed_hours": 0.09517565296755896, "event": "step", "step": 1460, "loss": 4.408465824127197, "lr": 2.9627454143416896e-05} |
| {"timestamp": 1787809040.098787, "elapsed_hours": 0.09626023643546634, "event": "step", "step": 1480, "loss": 4.420831027030945, "lr": 2.9615085832173197e-05} |
| {"timestamp": 1787809043.8983722, "elapsed_hours": 0.09731567674212986, "event": "step", "step": 1500, "loss": 4.465216264724732, "lr": 2.9602518517028426e-05} |
| {"timestamp": 1787809044.3120317, "elapsed_hours": 0.09743058217896355, "event": "sample", "step": 1500, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def Fibonacci(n):\n return n*fib / b-1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809054.9631076, "elapsed_hours": 0.10038921442296769, "event": "step", "step": 1520, "loss": 4.424625277519226, "lr": 2.9589752388674784e-05} |
| {"timestamp": 1787809058.8929348, "elapsed_hours": 0.10148083329200745, "event": "step", "step": 1540, "loss": 4.440016131401062, "lr": 2.957678764082122e-05} |
| {"timestamp": 1787809062.6158748, "elapsed_hours": 0.10251498308446672, "event": "step", "step": 1560, "loss": 4.35866940498352, "lr": 2.956362447019045e-05} |
| {"timestamp": 1787809066.5475721, "elapsed_hours": 0.10360712137487199, "event": "step", "step": 1580, "loss": 4.424534568786621, "lr": 2.955026307651601e-05} |
| {"timestamp": 1787809070.614859, "elapsed_hours": 0.1047369232442644, "event": "step", "step": 1600, "loss": 4.466436600685119, "lr": 2.9536703662539176e-05} |
| {"timestamp": 1787809074.7645206, "elapsed_hours": 0.10588960693942176, "event": "step", "step": 1620, "loss": 4.407955002784729, "lr": 2.952294643400594e-05} |
| {"timestamp": 1787809078.594156, "elapsed_hours": 0.10695339454544915, "event": "step", "step": 1640, "loss": 4.440607719421386, "lr": 2.950899159966386e-05} |
| {"timestamp": 1787809085.3200462, "elapsed_hours": 0.10882169743378957, "event": "sample", "step": 1650, "prompt": "What is the time complexity of binary search and why?", "sample": "The time complexity of binary search is O(n), where n is the length of the list. In other words, there are two ways to figure out whether a given line segment needs to be traversed or not:\n1) Start from the left cell of the list and find its next position. \n2) If the first step is less than the right cell, return True; otherwise, return False.\n3) We have to find all elements in reverse order from left and end index into a string that we can use for our binary search algorithm by asking the same ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809087.2378283, "elapsed_hours": 0.10935441467497084, "event": "step", "step": 1660, "loss": 4.4662388324737545, "lr": 2.9494839371258906e-05} |
| {"timestamp": 1787809091.2333317, "elapsed_hours": 0.11046427660518222, "event": "step", "step": 1680, "loss": 4.404368596076965, "lr": 2.9480489963532226e-05} |
| {"timestamp": 1787809094.9680314, "elapsed_hours": 0.11150169319576687, "event": "step", "step": 1700, "loss": 4.473828544616699, "lr": 2.9465943594216905e-05} |
| {"timestamp": 1787809099.0943685, "elapsed_hours": 0.11264789806471931, "event": "step", "step": 1720, "loss": 4.449546184539795, "lr": 2.945120048403466e-05} |
| {"timestamp": 1787809103.0506551, "elapsed_hours": 0.11374686651759677, "event": "step", "step": 1740, "loss": 4.369101867675782, "lr": 2.943626085669249e-05} |
| {"timestamp": 1787809107.1627576, "elapsed_hours": 0.11488911714818742, "event": "step", "step": 1760, "loss": 4.379593868255615, "lr": 2.9421124938879272e-05} |
| {"timestamp": 1787809111.237928, "elapsed_hours": 0.11602110902468364, "event": "step", "step": 1780, "loss": 4.455056176185608, "lr": 2.9405792960262333e-05} |
| {"timestamp": 1787809115.1381865, "elapsed_hours": 0.11710451417499118, "event": "step", "step": 1800, "loss": 4.383487567901612, "lr": 2.9390265153483955e-05} |
| {"timestamp": 1787809115.7806652, "elapsed_hours": 0.11728298034932878, "event": "sample", "step": 1800, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n return s.isalpha() and str(s) % 2 == 1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809119.8688543, "elapsed_hours": 0.1184185885058509, "event": "step", "step": 1820, "loss": 4.421513171195984, "lr": 2.937454175415786e-05} |
| {"timestamp": 1787809123.467287, "elapsed_hours": 0.11941815316677093, "event": "step", "step": 1840, "loss": 4.4470530700683595, "lr": 2.9358623000865617e-05} |
| {"timestamp": 1787809127.2303362, "elapsed_hours": 0.1204634447892507, "event": "step", "step": 1860, "loss": 4.383017411231995, "lr": 2.9342509135153028e-05} |
| {"timestamp": 1787809131.1896977, "elapsed_hours": 0.12156326724423303, "event": "step", "step": 1880, "loss": 4.389418921470642, "lr": 2.9326200401526493e-05} |
| {"timestamp": 1787809135.029756, "elapsed_hours": 0.12262995024522146, "event": "step", "step": 1900, "loss": 4.429790463447571, "lr": 2.9309697047449227e-05} |
| {"timestamp": 1787809138.7780235, "elapsed_hours": 0.1236711354388131, "event": "step", "step": 1920, "loss": 4.459030146598816, "lr": 2.929299932333759e-05} |
| {"timestamp": 1787809142.7633266, "elapsed_hours": 0.12477816429403094, "event": "step", "step": 1940, "loss": 4.3924877738952635, "lr": 2.927610748255722e-05} |
| {"timestamp": 1787809149.51407, "elapsed_hours": 0.1266533706585566, "event": "sample", "step": 1950, "prompt": "Explain the difference between a stack and a queue.", "sample": "The question asks for a stack and queue, but I can understand that the two definitions are identical.\n\nA stack is a function which adds an element to each element in another domain. A queue refers to any collection of elements that has no matching object or the other element it belongs to.\n\nA function is a type derived from a list, but not the same as an iterable (or collection). A space in which there are elements can be accessed via some element and no match is left for a list.\n\nA queue may ha", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809151.582953, "elapsed_hours": 0.12722806043095058, "event": "step", "step": 1960, "loss": 4.400441069602966, "lr": 2.9259021781419237e-05} |
| {"timestamp": 1787809155.494724, "elapsed_hours": 0.12831466343667772, "event": "step", "step": 1980, "loss": 4.466561932563781, "lr": 2.9241742479176313e-05} |
| {"timestamp": 1787809159.620224, "elapsed_hours": 0.129460635582606, "event": "step", "step": 2000, "loss": 4.373022880554199, "lr": 2.9224269838018774e-05} |
| {"timestamp": 1787809163.6076624, "elapsed_hours": 0.13056825743781195, "event": "step", "step": 2020, "loss": 4.393319549560547, "lr": 2.9206604123070604e-05} |
| {"timestamp": 1787809167.4512255, "elapsed_hours": 0.13163591398133173, "event": "step", "step": 2040, "loss": 4.410290517807007, "lr": 2.9188745602385414e-05} |
| {"timestamp": 1787809171.4685829, "elapsed_hours": 0.13275184644593133, "event": "step", "step": 2060, "loss": 4.413396635055542, "lr": 2.9170694546942386e-05} |
| {"timestamp": 1787809175.1884458, "elapsed_hours": 0.13378514177269407, "event": "step", "step": 2080, "loss": 4.411113309860229, "lr": 2.9152451230642174e-05} |
| {"timestamp": 1787809179.1510682, "elapsed_hours": 0.1348858701520496, "event": "step", "step": 2100, "loss": 4.4633110237121585, "lr": 2.913401593030272e-05} |
| {"timestamp": 1787809187.8598082, "elapsed_hours": 0.1373049646615982, "event": "sample", "step": 2100, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an array:\n```python\ndef find_max(lst): \n if len(lst) < 2 or not lst[-1] == 'A': \n return 'Error: array is empty'\n\n if len(lst) == 2 or not lst[-1] in [0, 1]:\n return 'Error: array size is empty'\n\n max_num = 0\n for i in range(len(lst)): \n if lst[i] > max_num: return 'Error'\n\n max = min(max_num, key=lambda x: x)\n if not isinstance(max.__dict__[i], int): return max\n\n return '{:d}'.format(min(max), ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809191.6084468, "elapsed_hours": 0.1383462530374527, "event": "step", "step": 2120, "loss": 4.391546974182129, "lr": 2.9115388925655063e-05} |
| {"timestamp": 1787809195.4620523, "elapsed_hours": 0.13941669914457533, "event": "step", "step": 2140, "loss": 4.400813732147217, "lr": 2.9096570499339116e-05} |
| {"timestamp": 1787809199.3282573, "elapsed_hours": 0.14049064497152963, "event": "step", "step": 2160, "loss": 4.358056225776672, "lr": 2.9077560936899346e-05} |
| {"timestamp": 1787809203.3711631, "elapsed_hours": 0.1416136743625005, "event": "step", "step": 2180, "loss": 4.393800129890442, "lr": 2.905836052678046e-05} |
| {"timestamp": 1787809207.2011006, "elapsed_hours": 0.14267754601107704, "event": "step", "step": 2200, "loss": 4.4527893114089965, "lr": 2.903896956032302e-05} |
| {"timestamp": 1787809211.1950943, "elapsed_hours": 0.14378698852327135, "event": "step", "step": 2220, "loss": 4.430454163551331, "lr": 2.901938833175903e-05} |
| {"timestamp": 1787809215.1995633, "elapsed_hours": 0.14489934106667837, "event": "step", "step": 2240, "loss": 4.436302995681762, "lr": 2.899961713820747e-05} |
| {"timestamp": 1787809219.870661, "elapsed_hours": 0.14619686822096506, "event": "sample", "step": 2250, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n if n < 0:\n return 1\n\n # define the Fibonacci sequence\n fib_sequence = [0,1]\n f = 1\n\n # find the first Fibonacci number in the sequence\n for i, num in enumerate(f):\n fib_sequence[i] = fib_sequence.index(num)\n\n return f<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809227.9841075, "elapsed_hours": 0.14845060335265264, "event": "step", "step": 2260, "loss": 4.416679501533508, "lr": 2.8979656279669777e-05} |
| {"timestamp": 1787809231.9363115, "elapsed_hours": 0.14954843786027697, "event": "step", "step": 2280, "loss": 4.364388699531555, "lr": 2.8959506059025304e-05} |
| {"timestamp": 1787809236.0473478, "elapsed_hours": 0.15069039225578307, "event": "step", "step": 2300, "loss": 4.421455507278442, "lr": 2.893916678202673e-05} |
| {"timestamp": 1787809239.9989746, "elapsed_hours": 0.15178806636068556, "event": "step", "step": 2320, "loss": 4.3958048820495605, "lr": 2.8918638757295385e-05} |
| {"timestamp": 1787809244.051267, "elapsed_hours": 0.15291370332241058, "event": "step", "step": 2340, "loss": 4.427400951385498, "lr": 2.8897922296316635e-05} |
| {"timestamp": 1787809247.8827174, "elapsed_hours": 0.15397799491882325, "event": "step", "step": 2360, "loss": 4.408860020637512, "lr": 2.887701771343507e-05} |
| {"timestamp": 1787809251.6836228, "elapsed_hours": 0.15503380199273428, "event": "step", "step": 2380, "loss": 4.3812637758255, "lr": 2.8855925325849805e-05} |
| {"timestamp": 1787809255.4475858, "elapsed_hours": 0.15607934719986385, "event": "step", "step": 2400, "loss": 4.385126023292542, "lr": 2.8834645453609643e-05} |
| {"timestamp": 1787809260.827247, "elapsed_hours": 0.15757369756698608, "event": "sample", "step": 2400, "prompt": "What is the time complexity of binary search and why?", "sample": "A binary search is a procedure often used to find the next element in an array of size m, and it's most commonly used for finding the smallest value in an array. It involves recursively traversing through all elements within a collection to find where they are from, and then passing them back to the original list until there is one. \n\nIn this algorithm, we start at index 0 (the first element in the array), and for each number i from 1 to m-1 it checks if i is greater than or equal to m, then we ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809264.9569244, "elapsed_hours": 0.1587208303478029, "event": "step", "step": 2420, "loss": 4.374894618988037, "lr": 2.88131784196082e-05} |
| {"timestamp": 1787809268.642983, "elapsed_hours": 0.15974473536014558, "event": "step", "step": 2440, "loss": 4.376647624969483, "lr": 2.8791524549579035e-05} |
| {"timestamp": 1787809272.317929, "elapsed_hours": 0.16076555371284484, "event": "step", "step": 2460, "loss": 4.3672057628631595, "lr": 2.876968417209068e-05} |
| {"timestamp": 1787809276.3335683, "elapsed_hours": 0.16188100907537673, "event": "step", "step": 2480, "loss": 4.422621994018555, "lr": 2.874765761854168e-05} |
| {"timestamp": 1787809280.3262231, "elapsed_hours": 0.1629900798532698, "event": "step", "step": 2500, "loss": 4.410543093681335, "lr": 2.872544522315555e-05} |
| {"timestamp": 1787809284.3704853, "elapsed_hours": 0.16411348594559563, "event": "step", "step": 2520, "loss": 4.394859852790833, "lr": 2.8703047322975717e-05} |
| {"timestamp": 1787809288.2257757, "elapsed_hours": 0.16518439994917974, "event": "step", "step": 2540, "loss": 4.417987966537476, "lr": 2.868046425786037e-05} |
| {"timestamp": 1787809299.127979, "elapsed_hours": 0.16821278982692295, "event": "sample", "step": 2550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n s = ''.join(set(to_letters + str(x) for x in s))\n\n return True\n\ndef compare_palindrome_string():\n string = ''.join(set(\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\").split()[:2])\n for i in range(len(string)):\n if string == s[i+1][i]:\n return False\n\n # Check if both strings are palindromes\n for string in set(string[::-1]):\n if is_palindrome(s, string) and not s.endswith('abc'):\n return False\n\n # Check if both strings are palindromes, ", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809301.0850973, "elapsed_hours": 0.16875643379158445, "event": "step", "step": 2560, "loss": 4.420219292640686, "lr": 2.8657696370477348e-05} |
| {"timestamp": 1787809306.0875401, "elapsed_hours": 0.17014600118001302, "event": "step", "step": 2580, "loss": 4.371990113258362, "lr": 2.8634744006298916e-05} |
| {"timestamp": 1787809309.7831478, "elapsed_hours": 0.1711725588639577, "event": "step", "step": 2600, "loss": 4.376766819953918, "lr": 2.861160751359653e-05} |
| {"timestamp": 1787809313.9941163, "elapsed_hours": 0.172342272400856, "event": "step", "step": 2620, "loss": 4.3933450841903685, "lr": 2.8588287243435544e-05} |
| {"timestamp": 1787809317.6135883, "elapsed_hours": 0.17334768129719627, "event": "step", "step": 2640, "loss": 4.439472646713257, "lr": 2.8564783549669903e-05} |
| {"timestamp": 1787809321.5612018, "elapsed_hours": 0.17444424086146884, "event": "step", "step": 2660, "loss": 4.3695200109481815, "lr": 2.8541096788936732e-05} |
| {"timestamp": 1787809325.497937, "elapsed_hours": 0.1755377781391144, "event": "step", "step": 2680, "loss": 4.429987993240356, "lr": 2.8517227320650996e-05} |
| {"timestamp": 1787809329.314547, "elapsed_hours": 0.17659794754452177, "event": "step", "step": 2700, "loss": 4.364496593475342, "lr": 2.849317550699995e-05} |
| {"timestamp": 1787809338.111757, "elapsed_hours": 0.17904161704911126, "event": "sample", "step": 2700, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a data structure that stores the elements of an object and its associated data. A queue, on the other hand, is a type-based approach where it's used to store data that are contained in an object while keeping track of its internal elements.\n\nIn the context of a data structure, heap is typically used for streams of data to store certain properties on memory and operations such as insertion or cleanup. In this case, it's an array with a maximum size that is 7 bits long (3 bytes for the ", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809341.9327369, "elapsed_hours": 0.18010300033622317, "event": "step", "step": 2720, "loss": 4.350409889221192, "lr": 2.8468941712937752e-05} |
| {"timestamp": 1787809345.8415582, "elapsed_hours": 0.18118878404299418, "event": "step", "step": 2740, "loss": 4.401327052116394, "lr": 2.8444526306179825e-05} |
| {"timestamp": 1787809349.7551496, "elapsed_hours": 0.18227589289347332, "event": "step", "step": 2760, "loss": 4.341713972091675, "lr": 2.841992965719734e-05} |
| {"timestamp": 1787809353.4283884, "elapsed_hours": 0.18329623692565494, "event": "step", "step": 2780, "loss": 4.440136957168579, "lr": 2.8395152139211584e-05} |
| {"timestamp": 1787809357.55151, "elapsed_hours": 0.18444154851966435, "event": "step", "step": 2800, "loss": 4.403925638198853, "lr": 2.837019412818827e-05} |
| {"timestamp": 1787809361.9853556, "elapsed_hours": 0.18567317220899793, "event": "step", "step": 2820, "loss": 4.410502915382385, "lr": 2.8345056002831875e-05} |
| {"timestamp": 1787809365.8857079, "elapsed_hours": 0.1867566035191218, "event": "step", "step": 2840, "loss": 4.37632643699646, "lr": 2.831973814457984e-05} |
| {"timestamp": 1787809370.6588128, "elapsed_hours": 0.18808246586057875, "event": "sample", "step": 2850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an array of numbers:\n\n```python\ndef find_max(array): \n if len(array) == 0 or not isinstance(array, list):\n return None\n\n max_element = float('-inf')\n for i in range(-len(array) - 1, 0, -1):\n if array[i] == array[i-1]:\n max_element = max(max_element, start=i+j)\n\n return max_element\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809372.650573, "elapsed_hours": 0.18863573253154756, "event": "step", "step": 2860, "loss": 4.408354864120484, "lr": 2.829424093759685e-05} |
| {"timestamp": 1787809376.3396616, "elapsed_hours": 0.18966047949261136, "event": "step", "step": 2880, "loss": 4.417120552062988, "lr": 2.8268564768768936e-05} |
| {"timestamp": 1787809380.4447954, "elapsed_hours": 0.19080079429679447, "event": "step", "step": 2900, "loss": 4.332176332473755, "lr": 2.8242710027697646e-05} |
| {"timestamp": 1787809384.404045, "elapsed_hours": 0.19190058595604367, "event": "step", "step": 2920, "loss": 4.390433049201965, "lr": 2.8216677106694134e-05} |
| {"timestamp": 1787809388.314177, "elapsed_hours": 0.1929867336485121, "event": "step", "step": 2940, "loss": 4.369862833023071, "lr": 2.819046640077318e-05} |
| {"timestamp": 1787809392.0066855, "elapsed_hours": 0.19401243044270408, "event": "step", "step": 2960, "loss": 4.43307933807373, "lr": 2.8164078307647222e-05} |
| {"timestamp": 1787809396.0196123, "elapsed_hours": 0.19512713246875338, "event": "step", "step": 2980, "loss": 4.393469915390015, "lr": 2.8137513227720303e-05} |
| {"timestamp": 1787809399.7880595, "elapsed_hours": 0.1961739233467314, "event": "step", "step": 3000, "loss": 4.3775497245788575, "lr": 2.811077156408202e-05} |
| {"timestamp": 1787809401.3445313, "elapsed_hours": 0.19660627649890053, "event": "sample", "step": 3000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n if n <= 1:\n return n\n\n else:\n fibonacci(n-1)\n return Fibonacci(fibonacci(n-2))<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809411.8060918, "elapsed_hours": 0.19951226552327475, "event": "step", "step": 3020, "loss": 4.397747340202332, "lr": 2.8083853722501373e-05} |
| {"timestamp": 1787809415.8016946, "elapsed_hours": 0.20062215546766918, "event": "step", "step": 3040, "loss": 4.420245800018311, "lr": 2.8056760111420648e-05} |
| {"timestamp": 1787809419.5938637, "elapsed_hours": 0.20167553557289972, "event": "step", "step": 3060, "loss": 4.362754702568054, "lr": 2.8029491141949178e-05} |
| {"timestamp": 1787809423.6684852, "elapsed_hours": 0.2028073748615053, "event": "step", "step": 3080, "loss": 4.351881351470947, "lr": 2.8002047227857137e-05} |
| {"timestamp": 1787809427.5003064, "elapsed_hours": 0.2038717696401808, "event": "step", "step": 3100, "loss": 4.394766454696655, "lr": 2.7974428785569246e-05} |
| {"timestamp": 1787809431.385061, "elapsed_hours": 0.20495086822244857, "event": "step", "step": 3120, "loss": 4.405962481498718, "lr": 2.794663623415845e-05} |
| {"timestamp": 1787809435.3199432, "elapsed_hours": 0.20604389091332753, "event": "step", "step": 3140, "loss": 4.409210476875305, "lr": 2.791866999533959e-05} |
| {"timestamp": 1787809444.0036688, "elapsed_hours": 0.20845603691207037, "event": "sample", "step": 3150, "prompt": "What is the time complexity of binary search and why?", "sample": "Benchmarking in Python requires a lot of memory that is typically at least as large as the number of elements. However, when you are dealing with binary search and its size is limited to an integer value (e.g., 5), it is not possible for the number of elements to be processed by binary search without having a large size.\n\nThe time complexity is O(n), where n is the total number of elements in the binary tree and it has an average size (k). This can be achieved by iteratively calculating each ele", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809445.9759703, "elapsed_hours": 0.20900389843516878, "event": "step", "step": 3160, "loss": 4.378413414955139, "lr": 2.789053049346296e-05} |
| {"timestamp": 1787809450.1022532, "elapsed_hours": 0.21015008827050527, "event": "step", "step": 3180, "loss": 4.406692037582397, "lr": 2.786221815550789e-05} |
| {"timestamp": 1787809453.8051965, "elapsed_hours": 0.2111786836385727, "event": "step", "step": 3200, "loss": 4.393843684196472, "lr": 2.783373341107629e-05} |
| {"timestamp": 1787809457.6455257, "elapsed_hours": 0.21224544167518616, "event": "step", "step": 3220, "loss": 4.400603370666504, "lr": 2.780507669238608e-05} |
| {"timestamp": 1787809461.4809935, "elapsed_hours": 0.2133108495341407, "event": "step", "step": 3240, "loss": 4.423667149543762, "lr": 2.777624843426467e-05} |
| {"timestamp": 1787809465.4629276, "elapsed_hours": 0.21441694219907126, "event": "step", "step": 3260, "loss": 4.363975458145141, "lr": 2.774724907414235e-05} |
| {"timestamp": 1787809469.3476613, "elapsed_hours": 0.2154960349533293, "event": "step", "step": 3280, "loss": 4.389324584007263, "lr": 2.7718079052045666e-05} |
| {"timestamp": 1787809473.3012164, "elapsed_hours": 0.21659424463907878, "event": "step", "step": 3300, "loss": 4.408801574707031, "lr": 2.768873881059072e-05} |
| {"timestamp": 1787809476.3890038, "elapsed_hours": 0.21745196335845524, "event": "sample", "step": 3300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(str):\n # Remove all non-alphanumeric characters and convert to lowercase for comparison.\n str = ''.join('', str)\n\n # Iterate through each string from the end of the string to find all palindromes.\n for i in range(len(str)):\n\n # Check if we need a palindrome using the like operator and string conversion.\n str = (str[::-1] + str[2:])\n\n # Return True if the characters are palindromes, False otherwise.\n return is_palindrome(str)<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809480.4181342, "elapsed_hours": 0.21857116626368628, "event": "step", "step": 3320, "loss": 4.381766152381897, "lr": 2.7659228794976455e-05} |
| {"timestamp": 1787809484.4369326, "elapsed_hours": 0.219687499139044, "event": "step", "step": 3340, "loss": 4.385393090248108, "lr": 2.762954945297793e-05} |
| {"timestamp": 1787809488.6502798, "elapsed_hours": 0.22085787329408857, "event": "step", "step": 3360, "loss": 4.4270360469818115, "lr": 2.7599701234939505e-05} |
| {"timestamp": 1787809492.5856507, "elapsed_hours": 0.22195103194978502, "event": "step", "step": 3380, "loss": 4.358851838111877, "lr": 2.7569684593767986e-05} |
| {"timestamp": 1787809496.3527682, "elapsed_hours": 0.22299745347764757, "event": "step", "step": 3400, "loss": 4.3983627128601075, "lr": 2.7539499984925805e-05} |
| {"timestamp": 1787809500.2571907, "elapsed_hours": 0.2240820152892007, "event": "step", "step": 3420, "loss": 4.405733947753906, "lr": 2.7509147866424058e-05} |
| {"timestamp": 1787809504.2187936, "elapsed_hours": 0.2251824606127209, "event": "step", "step": 3440, "loss": 4.3803512525558475, "lr": 2.7478628698815573e-05} |
| {"timestamp": 1787809508.9112527, "elapsed_hours": 0.22648592147562238, "event": "sample", "step": 3450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a body of memory that can be used to store and retrieve data. If there are two examples, a stack would have the same size but different internal variables (comSubpVars).\n \nA queue is an array of data that contains (data) elements, which are stored in a stack. If there were two examples, one for the same size and another for each other, it would have the same data type, just like an array could store a state. \n\nA queue is also an array of items and can be stored either in the stack or ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809510.9844787, "elapsed_hours": 0.22706181757979924, "event": "step", "step": 3460, "loss": 4.396524705886841, "lr": 2.7447942945187945e-05} |
| {"timestamp": 1787809514.6869206, "elapsed_hours": 0.22809027360545264, "event": "step", "step": 3480, "loss": 4.428876948356629, "lr": 2.7417091071156474e-05} |
| {"timestamp": 1787809518.4718418, "elapsed_hours": 0.22914164072937435, "event": "step", "step": 3500, "loss": 4.352962079048157, "lr": 2.738607354485712e-05} |
| {"timestamp": 1787809522.0949724, "elapsed_hours": 0.23014806575245328, "event": "step", "step": 3520, "loss": 4.369451475143433, "lr": 2.7354890836939395e-05} |
| {"timestamp": 1787809526.0591555, "elapsed_hours": 0.23124922778871324, "event": "step", "step": 3540, "loss": 4.336147928237915, "lr": 2.7323543420559225e-05} |
| {"timestamp": 1787809529.7998302, "elapsed_hours": 0.23228830403751796, "event": "step", "step": 3560, "loss": 4.40985737323761, "lr": 2.729203177137175e-05} |
| {"timestamp": 1787809533.6005914, "elapsed_hours": 0.23334407111008962, "event": "step", "step": 3580, "loss": 4.415248947143555, "lr": 2.726035636752414e-05} |
| {"timestamp": 1787809537.4075928, "elapsed_hours": 0.23440157135327658, "event": "step", "step": 3600, "loss": 4.406337051391602, "lr": 2.722851768964833e-05} |
| {"timestamp": 1787809539.2199254, "elapsed_hours": 0.23490499721633062, "event": "sample", "step": 3600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "```python\ndef max_element(numbers):\n result = ''\n for item in numbers:\n if len(item) > 1 and not isinstance(item, list):\n result += item\n\n return result.num() + 1```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809543.0413604, "elapsed_hours": 0.23596650693151686, "event": "step", "step": 3620, "loss": 4.408742513656616, "lr": 2.7196516220853697e-05} |
| {"timestamp": 1787809546.9392548, "elapsed_hours": 0.23704925530486637, "event": "step", "step": 3640, "loss": 4.377382650375366, "lr": 2.7164352446719765e-05} |
| {"timestamp": 1787809550.8404381, "elapsed_hours": 0.23813291728496552, "event": "step", "step": 3660, "loss": 4.402216353416443, "lr": 2.713202685528883e-05} |
| {"timestamp": 1787809554.6481745, "elapsed_hours": 0.23919062203831143, "event": "step", "step": 3680, "loss": 4.3684644746780394, "lr": 2.7099539937058543e-05} |
| {"timestamp": 1787809558.9519649, "elapsed_hours": 0.2403861191537645, "event": "step", "step": 3700, "loss": 4.354979085922241, "lr": 2.7066892184974467e-05} |
| {"timestamp": 1787809562.8753095, "elapsed_hours": 0.24147593710157605, "event": "step", "step": 3720, "loss": 4.390610723495484, "lr": 2.7034084094422614e-05} |
| {"timestamp": 1787809566.5837548, "elapsed_hours": 0.2425060608651903, "event": "step", "step": 3740, "loss": 4.37891526222229, "lr": 2.700111616322192e-05} |
| {"timestamp": 1787809569.8789313, "elapsed_hours": 0.2434213877386517, "event": "sample", "step": 3750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n if n == 0:\n return 1\n\n else:\n fibonacci(n-1) = 1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809578.703048, "elapsed_hours": 0.24587253126833175, "event": "step", "step": 3760, "loss": 4.376866707801819, "lr": 2.696798889161668e-05} |
| {"timestamp": 1787809582.5660272, "elapsed_hours": 0.24694558103879294, "event": "step", "step": 3780, "loss": 4.370673575401306, "lr": 2.6934702782268968e-05} |
| {"timestamp": 1787809586.7930534, "elapsed_hours": 0.24811975485748716, "event": "step", "step": 3800, "loss": 4.372796802520752, "lr": 2.690125834025102e-05} |
| {"timestamp": 1787809590.602137, "elapsed_hours": 0.24917783379554748, "event": "step", "step": 3820, "loss": 4.428549828529358, "lr": 2.6867656073037544e-05} |
| {"timestamp": 1787809594.5240448, "elapsed_hours": 0.2502672524584664, "event": "step", "step": 3840, "loss": 4.38665967464447, "lr": 2.6833896490498033e-05} |
| {"timestamp": 1787809598.1594396, "elapsed_hours": 0.25127708435058593, "event": "step", "step": 3860, "loss": 4.375665040016174, "lr": 2.679998010488905e-05} |
| {"timestamp": 1787809602.1120474, "elapsed_hours": 0.2523750311136246, "event": "step", "step": 3880, "loss": 4.380397419929505, "lr": 2.676590743084642e-05} |
| {"timestamp": 1787809606.4224484, "elapsed_hours": 0.2535723647144106, "event": "step", "step": 3900, "loss": 4.368754935264588, "lr": 2.673167898537743e-05} |
| {"timestamp": 1787809613.905847, "elapsed_hours": 0.25565108650260504, "event": "sample", "step": 3900, "prompt": "What is the time complexity of binary search and why?", "sample": "To ensure that the problem is complete, we can write code to solve this kind of problem. This will involve using two pointers (`p1` and `p2`.) as two pointers is not included in the first one, since we need to compare the elements of both ends.\n\nHere's a simple solution:\n\n```cpp\n#include <iostream>\nusing namespace std; // 3D array of size 8\nstruct Node { \n int data[32];\n\n public: \n Node(int n) : p1(n), q(0), s(0); // 2D array of size 8\n\n public: \n Node() { }\n};\nint main(){\t// sample networ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809618.0929036, "elapsed_hours": 0.2568141578303443, "event": "step", "step": 3920, "loss": 4.365858139991761, "lr": 2.6697295287853006e-05} |
| {"timestamp": 1787809622.357186, "elapsed_hours": 0.2579986807372835, "event": "step", "step": 3940, "loss": 4.3692344427108765, "lr": 2.6662756859999807e-05} |
| {"timestamp": 1787809626.3530455, "elapsed_hours": 0.2591086416774326, "event": "step", "step": 3960, "loss": 4.340896997451782, "lr": 2.662806422589232e-05} |
| {"timestamp": 1787809630.0900662, "elapsed_hours": 0.2601467029253642, "event": "step", "step": 3980, "loss": 4.387219791412353, "lr": 2.6593217911944912e-05} |
| {"timestamp": 1787809633.8055909, "elapsed_hours": 0.26117879304620956, "event": "step", "step": 4000, "loss": 4.384637055397033, "lr": 2.655821844690382e-05} |
| {"timestamp": 1787809637.8915458, "elapsed_hours": 0.2623137805859248, "event": "step", "step": 4020, "loss": 4.346637868881226, "lr": 2.6523066361839157e-05} |
| {"timestamp": 1787809641.674975, "elapsed_hours": 0.2633647331926558, "event": "step", "step": 4040, "loss": 4.396455297470093, "lr": 2.6487762190136843e-05} |
| {"timestamp": 1787809646.3485026, "elapsed_hours": 0.26466293533643087, "event": "sample", "step": 4050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Step 1: Identify the given string.\nIn this case, \"in\" is a palindrome. Given the specific problem statement (the input string) it's easy to determine that both words have exactly one digit, so we need to define a function to check if the word is a palindrome.\n\n```python\ndef is_palindrome(s):\n return s == s[::-1]\n\n# Example usage: print(\"Hello, World!\")\nprint(is_palindrome('h2')) # True<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809648.4141386, "elapsed_hours": 0.26523672302563983, "event": "step", "step": 4060, "loss": 4.419124817848205, "lr": 2.6452306467490495e-05} |
| {"timestamp": 1787809652.3666942, "elapsed_hours": 0.2663346552186542, "event": "step", "step": 4080, "loss": 4.41418107509613, "lr": 2.6416699731893338e-05} |
| {"timestamp": 1787809656.1865385, "elapsed_hours": 0.2673957229985131, "event": "step", "step": 4100, "loss": 4.364477877616882, "lr": 2.638094252362998e-05} |
| {"timestamp": 1787809659.9480996, "elapsed_hours": 0.26844060116344026, "event": "step", "step": 4120, "loss": 4.3670405721664425, "lr": 2.6345035385268296e-05} |
| {"timestamp": 1787809664.1593232, "elapsed_hours": 0.26961038536495635, "event": "step", "step": 4140, "loss": 4.334639420509339, "lr": 2.630897886165111e-05} |
| {"timestamp": 1787809668.2278392, "elapsed_hours": 0.27074052876896326, "event": "step", "step": 4160, "loss": 4.329564938545227, "lr": 2.627277349988799e-05} |
| {"timestamp": 1787809671.9768274, "elapsed_hours": 0.2717819143003888, "event": "step", "step": 4180, "loss": 4.399347023963928, "lr": 2.623641984934691e-05} |
| {"timestamp": 1787809676.03953, "elapsed_hours": 0.27291044288211397, "event": "step", "step": 4200, "loss": 4.4037698554992675, "lr": 2.6199918461645942e-05} |
| {"timestamp": 1787809679.2500844, "elapsed_hours": 0.2738022635380427, "event": "sample", "step": 4200, "prompt": "Explain the difference between a stack and a queue.", "sample": "Signatures can be seen as a function of the stack and queue sizes, but they are not common in many programming languages. Here's how you could create that:\n\n```javascript\nlet stack = [];\nvar queue;\n\nfunction push(node, data) {\n if (data.length > 0 && node < data[0]) return true;\n\n var stack = [];\nvar queue;\nstack.push(node);\n\n for (let i=0, len=queue.length; i<len-1; --i) {\n queue[buf] = stack[i];\n\n return false;\n}\nstack.push({data:queue});\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809683.2009792, "elapsed_hours": 0.2748997342586517, "event": "step", "step": 4220, "loss": 4.427014093399048, "lr": 2.6163269890644867e-05} |
| {"timestamp": 1787809687.0352492, "elapsed_hours": 0.2759648093250063, "event": "step", "step": 4240, "loss": 4.3885013341903685, "lr": 2.6126474692436773e-05} |
| {"timestamp": 1787809690.8814945, "elapsed_hours": 0.2770332107279036, "event": "step", "step": 4260, "loss": 4.393385939598083, "lr": 2.608953342533962e-05} |
| {"timestamp": 1787809694.8936207, "elapsed_hours": 0.2781476901637183, "event": "step", "step": 4280, "loss": 4.332166433334351, "lr": 2.6052446649887764e-05} |
| {"timestamp": 1787809698.7260828, "elapsed_hours": 0.27921226309405434, "event": "step", "step": 4300, "loss": 4.342008280754089, "lr": 2.601521492882347e-05} |
| {"timestamp": 1787809702.6723654, "elapsed_hours": 0.280308452712165, "event": "step", "step": 4320, "loss": 4.3501658582687375, "lr": 2.5977838827088348e-05} |
| {"timestamp": 1787809706.3829615, "elapsed_hours": 0.281339173913002, "event": "step", "step": 4340, "loss": 4.369938154220581, "lr": 2.5940318911814788e-05} |
| {"timestamp": 1787809710.726842, "elapsed_hours": 0.2825458072953754, "event": "sample", "step": 4350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a python function to find the maximum element in an array.\n```python\ndef max_element(arr): \n if len(arr) <= 1: \n return arr[0] # If array is empty, the element will be maximum.\n\n max_element = min(arr)\n for i in range (1, len(arr)-1): # If current element is the maximum of index j and array[i], return max_element \n return max_element<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809712.548494, "elapsed_hours": 0.2830518217881521, "event": "step", "step": 4360, "loss": 4.405258774757385, "lr": 2.590265575231738e-05} |
| {"timestamp": 1787809716.3126917, "elapsed_hours": 0.28409743229548134, "event": "step", "step": 4380, "loss": 4.425867857933045, "lr": 2.5864849920084217e-05} |
| {"timestamp": 1787809720.3302205, "elapsed_hours": 0.28521341257625155, "event": "step", "step": 4400, "loss": 4.379547414779663, "lr": 2.5826901988768296e-05} |
| {"timestamp": 1787809724.1316097, "elapsed_hours": 0.2862693539592955, "event": "step", "step": 4420, "loss": 4.38760458946228, "lr": 2.578881253417876e-05} |
| {"timestamp": 1787809727.8971105, "elapsed_hours": 0.28731532633304596, "event": "step", "step": 4440, "loss": 4.3840765857696535, "lr": 2.575058213427218e-05} |
| {"timestamp": 1787809731.7085032, "elapsed_hours": 0.2883740464184019, "event": "step", "step": 4460, "loss": 4.3884063339233395, "lr": 2.571221136914378e-05} |
| {"timestamp": 1787809735.5536437, "elapsed_hours": 0.28944214112228817, "event": "step", "step": 4480, "loss": 4.379565553665161, "lr": 2.5673700821018652e-05} |
| {"timestamp": 1787809739.4144542, "elapsed_hours": 0.29051458848847284, "event": "step", "step": 4500, "loss": 4.3669807767868045, "lr": 2.56350510742429e-05} |
| {"timestamp": 1787809743.6887758, "elapsed_hours": 0.29170190003183155, "event": "sample", "step": 4500, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that does exactly what you're asking:\n```python\ndef fibonacci(n):\n\n if n <= 0:\n return None, None\n fib_num = 1\n while len(fibonacci(sum(range(0, n))) < sum(n+1)) and fib_num % 2 == 0:\n fib = fibonacci(sum(fib) * fib_num // 2)\n\n return f.next()\n```\nThe function `fduracci` implements the Fibonacci sequence in Python with a parameter n, which will return 1 if all elements are integers. If you want to check for finding some numbers that start from ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809754.0431836, "elapsed_hours": 0.29457812441719905, "event": "step", "step": 4520, "loss": 4.336624565124512, "lr": 2.559626271527477e-05} |
| {"timestamp": 1787809757.9574158, "elapsed_hours": 0.29566541135311125, "event": "step", "step": 4540, "loss": 4.36928234577179, "lr": 2.5557336332675787e-05} |
| {"timestamp": 1787809762.020101, "elapsed_hours": 0.2967939347691006, "event": "step", "step": 4560, "loss": 4.395213265419006, "lr": 2.5518272517101782e-05} |
| {"timestamp": 1787809766.044963, "elapsed_hours": 0.2979119520054923, "event": "step", "step": 4580, "loss": 4.403102703094483, "lr": 2.547907186129396e-05} |
| {"timestamp": 1787809769.7787251, "elapsed_hours": 0.2989491081237793, "event": "step", "step": 4600, "loss": 4.430183095932007, "lr": 2.5439734960069873e-05} |
| {"timestamp": 1787809773.865076, "elapsed_hours": 0.30008420560095045, "event": "step", "step": 4620, "loss": 4.36880446434021, "lr": 2.540026241031444e-05} |
| {"timestamp": 1787809777.5620885, "elapsed_hours": 0.3011111536290911, "event": "step", "step": 4640, "loss": 4.3631690502166744, "lr": 2.5360654810970855e-05} |
| {"timestamp": 1787809782.2305007, "elapsed_hours": 0.3024079347319073, "event": "sample", "step": 4650, "prompt": "What is the time complexity of binary search and why?", "sample": "In binary search, a step is considered to be an algorithm that tries every node of the tree and gets its result. In this case, we will use simple loop with pointer to iterate over all nodes.\n\nBelow is an example implementation in Python:\n```python\nclass Node: \n\n def __init__(self, data): \n self.data = data # Initialize a new node with the current node's data\n \n def reverse_node(self, value): \n return self.data[value] # Reverse the tree \n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809784.5794811, "elapsed_hours": 0.3030604293611315, "event": "step", "step": 4660, "loss": 4.371439919471741, "lr": 2.53209127630315e-05} |
| {"timestamp": 1787809788.5324092, "elapsed_hours": 0.30415846486886344, "event": "step", "step": 4680, "loss": 4.353058667182922, "lr": 2.5281036869528844e-05} |
| {"timestamp": 1787809792.3827639, "elapsed_hours": 0.3052280078993903, "event": "step", "step": 4700, "loss": 4.381930294036866, "lr": 2.524102773552629e-05} |
| {"timestamp": 1787809796.6576567, "elapsed_hours": 0.3064154781235589, "event": "step", "step": 4720, "loss": 4.372550616264343, "lr": 2.5200885968108972e-05} |
| {"timestamp": 1787809800.4301982, "elapsed_hours": 0.3074634062581592, "event": "step", "step": 4740, "loss": 4.418094077110291, "lr": 2.516061217637457e-05} |
| {"timestamp": 1787809804.1112912, "elapsed_hours": 0.30848593221770393, "event": "step", "step": 4760, "loss": 4.394840517044067, "lr": 2.512020697142406e-05} |
| {"timestamp": 1787809808.1446013, "elapsed_hours": 0.3096062959565057, "event": "step", "step": 4780, "loss": 4.348119473457336, "lr": 2.507967096635242e-05} |
| {"timestamp": 1787809811.8731668, "elapsed_hours": 0.31064200864897834, "event": "step", "step": 4800, "loss": 4.39525671005249, "lr": 2.5039004776239363e-05} |
| {"timestamp": 1787809814.1491776, "elapsed_hours": 0.3112742338577906, "event": "sample", "step": 4800, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string is palindrome:\n```python\ndef is_palindrome(s): \n # Convert the input list of strings to lowercase for case-insensitive equality \n s = ''.join(s)\n\n # Convert the string to a list of strings. \n str_list = [s]\n\n return s == str(s)```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809818.0570312, "elapsed_hours": 0.3123597487476137, "event": "step", "step": 4820, "loss": 4.344373378753662, "lr": 2.499820901813998e-05} |
| {"timestamp": 1787809821.8999147, "elapsed_hours": 0.3134272164106369, "event": "step", "step": 4840, "loss": 4.374142889976501, "lr": 2.495728431107538e-05} |
| {"timestamp": 1787809825.6522079, "elapsed_hours": 0.31446952011850143, "event": "step", "step": 4860, "loss": 4.3726923418045045, "lr": 2.4916231276023306e-05} |
| {"timestamp": 1787809829.7282057, "elapsed_hours": 0.3156017416715622, "event": "step", "step": 4880, "loss": 4.381006498336792, "lr": 2.487505053590869e-05} |
| {"timestamp": 1787809833.4744103, "elapsed_hours": 0.3166423540645176, "event": "step", "step": 4900, "loss": 4.415849823951721, "lr": 2.4833742715594258e-05} |
| {"timestamp": 1787809837.2989209, "elapsed_hours": 0.31770471817917295, "event": "step", "step": 4920, "loss": 4.372763724327087, "lr": 2.4792308441870958e-05} |
| {"timestamp": 1787809841.2479358, "elapsed_hours": 0.3188016666968663, "event": "step", "step": 4940, "loss": 4.350339527130127, "lr": 2.4750748343448527e-05} |
| {"timestamp": 1787809848.9922667, "elapsed_hours": 0.32095286978615656, "event": "sample", "step": 4950, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a subfield of an array that wraps around any element. The two main ways to represent it are:\n\n1) List comprehension and sort along the stack on a new line, which is not efficient at all. A queue can be a list of elements (called items) in a way that takes no arguments and returns an array, but it is not always possible to sort the entire main stack.\n2) List comprehension where items are in a particular order (using Python's built-in list operations). This is not optimal because the cu", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809851.0645819, "elapsed_hours": 0.32152851270304783, "event": "step", "step": 4960, "loss": 4.404977703094483, "lr": 2.4709063050945924e-05} |
| {"timestamp": 1787809855.1701496, "elapsed_hours": 0.32266894843843247, "event": "step", "step": 4980, "loss": 4.3605032682418825, "lr": 2.4667253196881755e-05} |
| {"timestamp": 1787809859.1939278, "elapsed_hours": 0.32378666440645854, "event": "step", "step": 5000, "loss": 4.410943212509156, "lr": 2.4625319415664683e-05} |
| {"timestamp": 1787809863.048012, "elapsed_hours": 0.3248572434981664, "event": "step", "step": 5020, "loss": 4.381546554565429, "lr": 2.45832623435838e-05} |
| {"timestamp": 1787809866.5865343, "elapsed_hours": 0.3258401662111282, "event": "step", "step": 5040, "loss": 4.375373592376709, "lr": 2.454108261879897e-05} |
| {"timestamp": 1787809870.446956, "elapsed_hours": 0.32691250569290586, "event": "step", "step": 5060, "loss": 4.381866426467895, "lr": 2.449878088133115e-05} |
| {"timestamp": 1787809874.371885, "elapsed_hours": 0.3280027637879054, "event": "step", "step": 5080, "loss": 4.437877645492554, "lr": 2.4456357773052677e-05} |
| {"timestamp": 1787809878.4147303, "elapsed_hours": 0.32912577629089357, "event": "step", "step": 5100, "loss": 4.397241821289063, "lr": 2.4413813937677523e-05} |
| {"timestamp": 1787809882.093793, "elapsed_hours": 0.33014773819181653, "event": "sample", "step": 5100, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "To find the maximum element in a list, you can use Python's built-in int function which takes three parameters:\n1. A (integer) - The size of the array to search for at least two elements, in this case 2^n.\n2. S (int) - The value of s that should be used to store the minimum element present at index k in this list, in this case 2^k.\n3. Sr (int) - The value of r that should be used to store the maximum element present at index k in this list, in this case 2^k.\n4. U (int) - The value of u that ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809886.0363975, "elapsed_hours": 0.3312429061200884, "event": "step", "step": 5120, "loss": 4.392167415618896, "lr": 2.437115002075154e-05} |
| {"timestamp": 1787809889.869641, "elapsed_hours": 0.3323076958126492, "event": "step", "step": 5140, "loss": 4.401397228240967, "lr": 2.4328366669642655e-05} |
| {"timestamp": 1787809893.875015, "elapsed_hours": 0.33342029995388456, "event": "step", "step": 5160, "loss": 4.3720494699478145, "lr": 2.4285464533531035e-05} |
| {"timestamp": 1787809897.6967657, "elapsed_hours": 0.33448189728789857, "event": "step", "step": 5180, "loss": 4.33948887348175, "lr": 2.4242444263399285e-05} |
| {"timestamp": 1787809901.447933, "elapsed_hours": 0.33552388807137806, "event": "step", "step": 5200, "loss": 4.389039692878723, "lr": 2.4199306512022486e-05} |
| {"timestamp": 1787809905.2048664, "elapsed_hours": 0.336567480829027, "event": "step", "step": 5220, "loss": 4.376558241844177, "lr": 2.4156051933958392e-05} |
| {"timestamp": 1787809910.0362163, "elapsed_hours": 0.3379095223877165, "event": "step", "step": 5240, "loss": 4.4124456310272215, "lr": 2.4112681185537416e-05} |
| {"timestamp": 1787809914.687498, "elapsed_hours": 0.3392015451192856, "event": "sample", "step": 5250, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def get_nth_fibonacci(n):\n fibonacci = 0\n\n for i in range(1, n + 1):\n if (n % i) == 0:\n fibonacci = fibonacci + fibonacci ** 2\n\n return fibonacci\n\n# test the function with higher values of n\nprint(get_nth_fibonacci(\"15\")) # Output: 15<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809923.3767953, "elapsed_hours": 0.3416152387195163, "event": "step", "step": 5260, "loss": 4.402317781448364, "lr": 2.4069194924852697e-05} |
| {"timestamp": 1787809927.0618913, "elapsed_hours": 0.34263887650436825, "event": "step", "step": 5280, "loss": 4.338023614883423, "lr": 2.4025593811750132e-05} |
| {"timestamp": 1787809931.0423563, "elapsed_hours": 0.343744561208619, "event": "step", "step": 5300, "loss": 4.390538883209229, "lr": 2.398187850781835e-05} |
| {"timestamp": 1787809935.0652587, "elapsed_hours": 0.3448620341883765, "event": "step", "step": 5320, "loss": 4.345648846626282, "lr": 2.3938049676378672e-05} |
| {"timestamp": 1787809938.9498, "elapsed_hours": 0.3459410734309091, "event": "step", "step": 5340, "loss": 4.37742082118988, "lr": 2.389410798247503e-05} |
| {"timestamp": 1787809943.0085416, "elapsed_hours": 0.34706850164466435, "event": "step", "step": 5360, "loss": 4.363118066787719, "lr": 2.385005409286392e-05} |
| {"timestamp": 1787809946.8244126, "elapsed_hours": 0.3481284659438663, "event": "step", "step": 5380, "loss": 4.372386784553528, "lr": 2.3805888676004238e-05} |
| {"timestamp": 1787809950.6552236, "elapsed_hours": 0.3491925799846649, "event": "step", "step": 5400, "loss": 4.373545670509339, "lr": 2.376161240204717e-05} |
| {"timestamp": 1787809953.4997394, "elapsed_hours": 0.34998272326257496, "event": "sample", "step": 5400, "prompt": "What is the time complexity of binary search and why?", "sample": "As an AI language model, I don't have personal preferences for binary search. However, I can provide a general example in Python while ensuring that it is already quick and efficient:\n\n```python\ndef binary_search(arr, min=0): # Initialize maximum number of elements to be traversed\n max = arr[min] - 1\n\n for i in range(1, min:ft+1): # Check if the current element is greater\n mid = (sum((i - 1) % i for j in arr[i]) // 2)\n\n return max, mid\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809957.4000218, "elapsed_hours": 0.3510661350356208, "event": "step", "step": 5420, "loss": 4.3654645776748655, "lr": 2.3717225942825996e-05} |
| {"timestamp": 1787809961.37932, "elapsed_hours": 0.35217149555683136, "event": "step", "step": 5440, "loss": 4.380612840652466, "lr": 2.367272997184593e-05} |
| {"timestamp": 1787809965.3339193, "elapsed_hours": 0.3532699955172009, "event": "step", "step": 5460, "loss": 4.405535526275635, "lr": 2.362812516427386e-05} |
| {"timestamp": 1787809969.2021568, "elapsed_hours": 0.3543445058001412, "event": "step", "step": 5480, "loss": 4.440405535697937, "lr": 2.358341219692814e-05} |
| {"timestamp": 1787809973.0798314, "elapsed_hours": 0.3554216377602683, "event": "step", "step": 5500, "loss": 4.395224394798279, "lr": 2.353859174826829e-05} |
| {"timestamp": 1787809976.9499512, "elapsed_hours": 0.35649667104085286, "event": "step", "step": 5520, "loss": 4.3898863697052, "lr": 2.3493664498384723e-05} |
| {"timestamp": 1787809980.6465557, "elapsed_hours": 0.3575235056214862, "event": "step", "step": 5540, "loss": 4.41079764842987, "lr": 2.3448631128988423e-05} |
| {"timestamp": 1787809987.0324638, "elapsed_hours": 0.359297368923823, "event": "sample", "step": 5550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n \"\"\"Check if a string is a palindrome.\"\"\"\n\n # Iterate over each character in the given string.\n for char in s:\n if is_palindrome(char):\n return True\n\n # Check for palindromes that are not in the string.\n for char in s:\n if is_palindrome(char):\n return False\n\n # Check for non-alphanumeric characters.\n if is_palindrome(s):\n return True\n\n # Return True if string is a palindrome, else False.\n return False<|im", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787809989.2864292, "elapsed_hours": 0.35992347048388584, "event": "step", "step": 5560, "loss": 4.286239976882935, "lr": 2.3403492323400586e-05} |
| {"timestamp": 1787809993.2574594, "elapsed_hours": 0.36102653437190585, "event": "step", "step": 5580, "loss": 4.3458092451095585, "lr": 2.3358248766542267e-05} |
| {"timestamp": 1787809997.3710546, "elapsed_hours": 0.362169199652142, "event": "step", "step": 5600, "loss": 4.357963185310364, "lr": 2.3312901144923977e-05} |
| {"timestamp": 1787810001.2820776, "elapsed_hours": 0.36325559490256837, "event": "step", "step": 5620, "loss": 4.312354164123535, "lr": 2.3267450146635278e-05} |
| {"timestamp": 1787810005.2934442, "elapsed_hours": 0.3643698634703954, "event": "step", "step": 5640, "loss": 4.329820590019226, "lr": 2.3221896461334324e-05} |
| {"timestamp": 1787810009.1198506, "elapsed_hours": 0.36543275422520105, "event": "step", "step": 5660, "loss": 4.336290078163147, "lr": 2.317624078023742e-05} |
| {"timestamp": 1787810012.708928, "elapsed_hours": 0.36642972018983627, "event": "step", "step": 5680, "loss": 4.381134810447693, "lr": 2.3130483796108505e-05} |
| {"timestamp": 1787810016.6284912, "elapsed_hours": 0.3675184878375795, "event": "step", "step": 5700, "loss": 4.432169499397278, "lr": 2.3084626203248676e-05} |
| {"timestamp": 1787810019.4496062, "elapsed_hours": 0.36830213069915774, "event": "sample", "step": 5700, "prompt": "Explain the difference between a stack and a queue.", "sample": "Buffer and queue are two distinct elements in a stack. If we take the top element of an array, each position would have different values for other elements too; and if you use that value to identify how many items are on the stack.\nWhen I say \"stack\" and \"queue\", the elements in a question should have different values for other elements. The first element is an array, like this:\n```python\n[1, 2, 3, 4]\n``` #change to stack and queue (which will be the same)\n[2, 4, 5, 6, 7]\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810023.3651567, "elapsed_hours": 0.3693897835413615, "event": "step", "step": 5720, "loss": 4.394035167694092, "lr": 2.303866869748562e-05} |
| {"timestamp": 1787810027.4135687, "elapsed_hours": 0.37051434251997206, "event": "step", "step": 5740, "loss": 4.391333508491516, "lr": 2.299261197616307e-05} |
| {"timestamp": 1787810031.0798318, "elapsed_hours": 0.3715327489376068, "event": "step", "step": 5760, "loss": 4.367766695022583, "lr": 2.2946456738130227e-05} |
| {"timestamp": 1787810034.926334, "elapsed_hours": 0.3726012217336231, "event": "step", "step": 5780, "loss": 4.391124911308289, "lr": 2.2900203683731137e-05} |
| {"timestamp": 1787810038.749088, "elapsed_hours": 0.37366309795114727, "event": "step", "step": 5800, "loss": 4.387562880516052, "lr": 2.2853853514794106e-05} |
| {"timestamp": 1787810042.5142744, "elapsed_hours": 0.3747089829709795, "event": "step", "step": 5820, "loss": 4.365669703483581, "lr": 2.2807406934620997e-05} |
| {"timestamp": 1787810046.242928, "elapsed_hours": 0.3757447202338113, "event": "step", "step": 5840, "loss": 4.341605143547058, "lr": 2.276086464797659e-05} |
| {"timestamp": 1787810049.8121736, "elapsed_hours": 0.3767361772060394, "event": "sample", "step": 5850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that does what you described:\n```python\ndef find_max(lst): # Assuming list contains only integers\n max_element = [i for i in lst if i not in ['a', 'b']] # Print the maximum element\n return max_element<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810051.7873428, "elapsed_hours": 0.37728483537832896, "event": "step", "step": 5860, "loss": 4.3775707578659055, "lr": 2.27142273610779e-05} |
| {"timestamp": 1787810055.9195657, "elapsed_hours": 0.3784326750702328, "event": "step", "step": 5880, "loss": 4.343485517501831, "lr": 2.266749578158343e-05} |
| {"timestamp": 1787810059.8056548, "elapsed_hours": 0.3795121441947089, "event": "step", "step": 5900, "loss": 4.34452977180481, "lr": 2.2620670618582445e-05} |
| {"timestamp": 1787810063.6275358, "elapsed_hours": 0.38057377775510154, "event": "step", "step": 5920, "loss": 4.394605875015259, "lr": 2.2573752582584212e-05} |
| {"timestamp": 1787810067.8853247, "elapsed_hours": 0.3817564970917172, "event": "step", "step": 5940, "loss": 4.368171997070313, "lr": 2.2526742385507243e-05} |
| {"timestamp": 1787810071.9087338, "elapsed_hours": 0.382874110672209, "event": "step", "step": 5960, "loss": 4.427918519973755, "lr": 2.2479640740668442e-05} |
| {"timestamp": 1787810075.8585262, "elapsed_hours": 0.383971275223626, "event": "step", "step": 5980, "loss": 4.430626096725464, "lr": 2.2432448362772336e-05} |
| {"timestamp": 1787810079.8742251, "elapsed_hours": 0.3850867470105489, "event": "step", "step": 6000, "loss": 4.391680998802185, "lr": 2.2385165967900186e-05} |
| {"timestamp": 1787810081.0050845, "elapsed_hours": 0.385400874680943, "event": "sample", "step": 6000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that calculates the nth Fibonacci number:\n```python\ndef fib(n): \n return len(fib) + 1 if n <= 0 else fib[-1] \n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810092.1286757, "elapsed_hours": 0.3884907610548867, "event": "step", "step": 6020, "loss": 4.4568668603897095, "lr": 2.233779427349915e-05} |
| {"timestamp": 1787810096.1687765, "elapsed_hours": 0.38961301147937777, "event": "step", "step": 6040, "loss": 4.426108574867248, "lr": 2.229033399837139e-05} |
| {"timestamp": 1787810100.0007205, "elapsed_hours": 0.3906774402327008, "event": "step", "step": 6060, "loss": 4.34812301158905, "lr": 2.2242785862663147e-05} |
| {"timestamp": 1787810103.7535746, "elapsed_hours": 0.3917198997735977, "event": "step", "step": 6080, "loss": 4.386178383827209, "lr": 2.2195150587853853e-05} |
| {"timestamp": 1787810107.8245988, "elapsed_hours": 0.39285073975721996, "event": "step", "step": 6100, "loss": 4.373002281188965, "lr": 2.2147428896745135e-05} |
| {"timestamp": 1787810111.896561, "elapsed_hours": 0.39398184034559464, "event": "step", "step": 6120, "loss": 4.4007504320144655, "lr": 2.2099621513449883e-05} |
| {"timestamp": 1787810115.7911143, "elapsed_hours": 0.39506366067462495, "event": "step", "step": 6140, "loss": 4.414657287597656, "lr": 2.2051729163381255e-05} |
| {"timestamp": 1787810119.5722463, "elapsed_hours": 0.39611397518051994, "event": "sample", "step": 6150, "prompt": "What is the time complexity of binary search and why?", "sample": "The time complexity of binary search is O(n) because the query size could factor significantly, so it's not possible to perform this in a linear-time manner. This means that binary search is always faster and can be more efficient than large data structures like unsorted lists, sorting keys in reverse order, or even having a time complexity of O(n log n) where n is the number of elements.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810121.639159, "elapsed_hours": 0.39668811758359274, "event": "step", "step": 6160, "loss": 4.37192020893097, "lr": 2.200375257324166e-05} |
| {"timestamp": 1787810125.6331904, "elapsed_hours": 0.3977975707583957, "event": "step", "step": 6180, "loss": 4.346787557601929, "lr": 2.1955692471011734e-05} |
| {"timestamp": 1787810129.374525, "elapsed_hours": 0.39883683039082424, "event": "step", "step": 6200, "loss": 4.297018213272095, "lr": 2.1907549585939318e-05} |
| {"timestamp": 1787810133.1425924, "elapsed_hours": 0.3998835157023536, "event": "step", "step": 6220, "loss": 4.38273756980896, "lr": 2.1859324648528345e-05} |
| {"timestamp": 1787810137.1763573, "elapsed_hours": 0.4010040060679118, "event": "step", "step": 6240, "loss": 4.367793436050415, "lr": 2.1811018390527794e-05} |
| {"timestamp": 1787810140.9629471, "elapsed_hours": 0.40205583658483296, "event": "step", "step": 6260, "loss": 4.397179956436157, "lr": 2.176263154492058e-05} |
| {"timestamp": 1787810144.8521519, "elapsed_hours": 0.40313617130120594, "event": "step", "step": 6280, "loss": 4.404086079597473, "lr": 2.1714164845912422e-05} |
| {"timestamp": 1787810148.5992239, "elapsed_hours": 0.4041770244306988, "event": "step", "step": 6300, "loss": 4.356054821014404, "lr": 2.166561902892071e-05} |
| {"timestamp": 1787810157.4181442, "elapsed_hours": 0.4066267246007919, "event": "sample", "step": 6300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here's a Python function that checks if a string is palindrome:\n```python\ndef is_palindromic(string): \n # Check for palindrome with a length of 2^10 \n char_count = len(string) - 1\n\n # Loop through all characters in the string and check if they are palindromes\n for i in range(len(string)): \n\n # Check if the character is a palindrome\n for j in range(i, len(string)): \n\n # Check if the character is a palindrome\n if char_count % 2 == 0: \n\n # Check f", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810161.26348, "elapsed_hours": 0.4076948735449049, "event": "step", "step": 6320, "loss": 4.369811491966248, "lr": 2.1616994830563337e-05} |
| {"timestamp": 1787810165.5016553, "elapsed_hours": 0.40887214442094166, "event": "step", "step": 6340, "loss": 4.376459465026856, "lr": 2.1568292988647538e-05} |
| {"timestamp": 1787810169.351392, "elapsed_hours": 0.40994151559140946, "event": "step", "step": 6360, "loss": 4.361726746559143, "lr": 2.1519514242158684e-05} |
| {"timestamp": 1787810173.0895185, "elapsed_hours": 0.41097988413439857, "event": "step", "step": 6380, "loss": 4.359438533782959, "lr": 2.1470659331249065e-05} |
| {"timestamp": 1787810176.7443662, "elapsed_hours": 0.4119951195187039, "event": "step", "step": 6400, "loss": 4.345256309509278, "lr": 2.1421728997226663e-05} |
| {"timestamp": 1787810180.84249, "elapsed_hours": 0.41313348723782434, "event": "step", "step": 6420, "loss": 4.336105871200561, "lr": 2.137272398254391e-05} |
| {"timestamp": 1787810184.5561244, "elapsed_hours": 0.4141650524404314, "event": "step", "step": 6440, "loss": 4.388781757354736, "lr": 2.1323645030786426e-05} |
| {"timestamp": 1787810189.792694, "elapsed_hours": 0.41561965511904825, "event": "sample", "step": 6450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two different things. A stack is an element in the same order, while a queue is an operation that adds or removes elements from another stack and will return an output for the given purpose. Some properties of Stack are:\n- The number of stack elements (i.e., their order) is equal to that of a stack (i.e., it must be an integer).\n- The number of queue elements (i, j, k) is equal to the sum of all the elements in a queue.\n - Shuffle out an element from both stacks (i and ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810191.7288203, "elapsed_hours": 0.4161574680275387, "event": "step", "step": 6460, "loss": 4.370555229187012, "lr": 2.1274492886661695e-05} |
| {"timestamp": 1787810195.5992312, "elapsed_hours": 0.417232582171758, "event": "step", "step": 6480, "loss": 4.4084877681732175, "lr": 2.1225268295987838e-05} |
| {"timestamp": 1787810199.5177538, "elapsed_hours": 0.4183210606707467, "event": "step", "step": 6500, "loss": 4.381596584320068, "lr": 2.1175972005682234e-05} |
| {"timestamp": 1787810203.7091544, "elapsed_hours": 0.4194853384627236, "event": "step", "step": 6520, "loss": 4.369629492759705, "lr": 2.11266047637502e-05} |
| {"timestamp": 1787810208.701937, "elapsed_hours": 0.4208722225824992, "event": "step", "step": 6540, "loss": 4.405196218490601, "lr": 2.1077167319273672e-05} |
| {"timestamp": 1787810212.627131, "elapsed_hours": 0.4219625543885761, "event": "step", "step": 6560, "loss": 4.373803043365479, "lr": 2.10276604223998e-05} |
| {"timestamp": 1787810216.5220768, "elapsed_hours": 0.42304448379410636, "event": "step", "step": 6580, "loss": 4.32461494922638, "lr": 2.0978084824329582e-05} |
| {"timestamp": 1787810220.3869407, "elapsed_hours": 0.42411805702580346, "event": "step", "step": 6600, "loss": 4.374450879096985, "lr": 2.0928441277306478e-05} |
| {"timestamp": 1787810222.2365265, "elapsed_hours": 0.4246318309836917, "event": "sample", "step": 6600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "def find_max(lst):\n max_element = set()\n\n for element in lst:\n if isinstance(element, list):\n max_element.add((element * (max_element)))\n\n return max(min(max), key=lambda x: 0, reverse=True)<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810226.161072, "elapsed_hours": 0.4257219824526045, "event": "step", "step": 6620, "loss": 4.383052606582641, "lr": 2.0878730534604956e-05} |
| {"timestamp": 1787810230.0881016, "elapsed_hours": 0.4268128239446216, "event": "step", "step": 6640, "loss": 4.417108020782471, "lr": 2.0828953350519125e-05} |
| {"timestamp": 1787810233.8861992, "elapsed_hours": 0.42786785105864206, "event": "step", "step": 6660, "loss": 4.412637538909912, "lr": 2.0779110480351212e-05} |
| {"timestamp": 1787810237.9240944, "elapsed_hours": 0.42898948848247526, "event": "step", "step": 6680, "loss": 4.398335843086243, "lr": 2.0729202680400184e-05} |
| {"timestamp": 1787810241.6953447, "elapsed_hours": 0.430037058128251, "event": "step", "step": 6700, "loss": 4.33701418876648, "lr": 2.0679230707950204e-05} |
| {"timestamp": 1787810245.6792977, "elapsed_hours": 0.4311437118053436, "event": "step", "step": 6720, "loss": 4.376125292778015, "lr": 2.062919532125916e-05} |
| {"timestamp": 1787810249.567605, "elapsed_hours": 0.43222379704316455, "event": "step", "step": 6740, "loss": 4.362756886482239, "lr": 2.0579097279547204e-05} |
| {"timestamp": 1787810253.3981485, "elapsed_hours": 0.4332878369092941, "event": "sample", "step": 6750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is the Python function that returns the nth Fibonacci number:\n```python\ndef fib(n): \n if len(list(range(1, n+2))) == 1 and n+2 < 7: \n return f\"{n} is a Fibonacci number of {list(range(-1, 1))}\" \n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810263.4246542, "elapsed_hours": 0.436072977648841, "event": "step", "step": 6760, "loss": 4.385682744979858, "lr": 2.052893734298515e-05} |
| {"timestamp": 1787810267.4662743, "elapsed_hours": 0.437195649544398, "event": "step", "step": 6780, "loss": 4.413623275756836, "lr": 2.0478716272683014e-05} |
| {"timestamp": 1787810271.094739, "elapsed_hours": 0.4382035564714008, "event": "step", "step": 6800, "loss": 4.3568384647369385, "lr": 2.0428434830678424e-05} |
| {"timestamp": 1787810274.9895813, "elapsed_hours": 0.4392854572004742, "event": "step", "step": 6820, "loss": 4.385374813079834, "lr": 2.0378093779925063e-05} |
| {"timestamp": 1787810279.2757783, "elapsed_hours": 0.4404760673311022, "event": "step", "step": 6840, "loss": 4.343709874153137, "lr": 2.0327693884281105e-05} |
| {"timestamp": 1787810283.2609963, "elapsed_hours": 0.44158307247691686, "event": "step", "step": 6860, "loss": 4.370476474761963, "lr": 2.027723590849762e-05} |
| {"timestamp": 1787810286.9510765, "elapsed_hours": 0.44260809461275735, "event": "step", "step": 6880, "loss": 4.3771909952163695, "lr": 2.022672061820695e-05} |
| {"timestamp": 1787810290.8318734, "elapsed_hours": 0.44368609388669333, "event": "step", "step": 6900, "loss": 4.376361970901489, "lr": 2.0176148779911132e-05} |
| {"timestamp": 1787810298.0266068, "elapsed_hours": 0.44568463093704647, "event": "sample", "step": 6900, "prompt": "What is the time complexity of binary search and why?", "sample": "The time complexity of binary search is O(n^2) where n is the length of the input.\nIn this case, we are using two nested loops to perform binary search on a left and right row (and thenaggregate). As the goal is to find the largest elements in an iterated array, we can use a simple binary search algorithm.\nHere's how:\n1. Initialize two pointers n and i to -1 (inclusive) \n2. Get the current index of element in left row (and then null value; if the left node is equal to its right child, it means t", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810302.1269457, "elapsed_hours": 0.4468236139085558, "event": "step", "step": 6920, "loss": 4.3858857917785645, "lr": 2.0125521160970222e-05} |
| {"timestamp": 1787810306.0032947, "elapsed_hours": 0.44790037757820556, "event": "step", "step": 6940, "loss": 4.383008198738098, "lr": 2.0074838529590678e-05} |
| {"timestamp": 1787810309.8247445, "elapsed_hours": 0.44896189126703473, "event": "step", "step": 6960, "loss": 4.378748655319214, "lr": 2.00241016548137e-05} |
| {"timestamp": 1787810313.7839844, "elapsed_hours": 0.4500616802109612, "event": "step", "step": 6980, "loss": 4.368138618469239, "lr": 1.9973311306503572e-05} |
| {"timestamp": 1787810317.458661, "elapsed_hours": 0.451082423792945, "event": "step", "step": 7000, "loss": 4.432457580566406, "lr": 1.992246825533595e-05} |
| {"timestamp": 1787810321.613412, "elapsed_hours": 0.4522365211778217, "event": "step", "step": 7020, "loss": 4.388937602043152, "lr": 1.987157327278619e-05} |
| {"timestamp": 1787810325.5575154, "elapsed_hours": 0.4533321055438783, "event": "step", "step": 7040, "loss": 4.389763555526733, "lr": 1.9820627131117636e-05} |
| {"timestamp": 1787810336.5758896, "elapsed_hours": 0.45639276497893866, "event": "sample", "step": 7050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string is a palindrome:\n\n```python\ndef check_palindrome(String): # Remove non-alphanumeric characters from the string\n\n # Iterate through all strings in a group of characters\n for i, char in enumerate(String):\n # Check if the current character is a palindrome\n char_index = i - 1\n\n # Check if the current index is greater than (char_index + 1)\n while char_index < i:\n # Check if the current character is a pali", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810338.3921492, "elapsed_hours": 0.4568972815407647, "event": "step", "step": 7060, "loss": 4.344579429626465, "lr": 1.976963060336991e-05} |
| {"timestamp": 1787810342.2711806, "elapsed_hours": 0.4579747904009289, "event": "step", "step": 7080, "loss": 4.405373687744141, "lr": 1.9718584463347162e-05} |
| {"timestamp": 1787810346.1817675, "elapsed_hours": 0.45906106432278954, "event": "step", "step": 7100, "loss": 4.386892347335816, "lr": 1.9667489485606365e-05} |
| {"timestamp": 1787810350.0049746, "elapsed_hours": 0.46012306637234157, "event": "step", "step": 7120, "loss": 4.390253114700317, "lr": 1.9616346445445516e-05} |
| {"timestamp": 1787810354.0158584, "elapsed_hours": 0.46123720076349045, "event": "step", "step": 7140, "loss": 4.335904679298401, "lr": 1.956515611889191e-05} |
| {"timestamp": 1787810358.0435822, "elapsed_hours": 0.46235601292716133, "event": "step", "step": 7160, "loss": 4.272045798301697, "lr": 1.951391928269033e-05} |
| {"timestamp": 1787810362.179817, "elapsed_hours": 0.4635049670272403, "event": "step", "step": 7180, "loss": 4.411787490844727, "lr": 1.9462636714291315e-05} |
| {"timestamp": 1787810366.017238, "elapsed_hours": 0.4645709173546897, "event": "step", "step": 7200, "loss": 4.4147289276123045, "lr": 1.9411309191839294e-05} |
| {"timestamp": 1787810369.021053, "elapsed_hours": 0.46540531045860717, "event": "sample", "step": 7200, "prompt": "Explain the difference between a stack and a queue.", "sample": "Elementary functions are a type of data structure that have subkeys, and in some cases they need to be connected. Instead of using the Stack object (OF) it is not necessary for each function to work, but rather a storage in one flow structure that allows you to access items from another flow. \n\nAnd the concept of stack is used for storing and managing this data structure, which means when a node has multiple operations in one flow, it can go through all its nodes on the stack. In both cases it i", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810372.9424095, "elapsed_hours": 0.4664945760700438, "event": "step", "step": 7220, "loss": 4.382910280227661, "lr": 1.9359937494160836e-05} |
| {"timestamp": 1787810376.7404547, "elapsed_hours": 0.46754958861403995, "event": "step", "step": 7240, "loss": 4.40555736541748, "lr": 1.9308522400752795e-05} |
| {"timestamp": 1787810380.9331882, "elapsed_hours": 0.46871423681577046, "event": "step", "step": 7260, "loss": 4.416940422058105, "lr": 1.925706469177051e-05} |
| {"timestamp": 1787810384.8503454, "elapsed_hours": 0.46980233596430887, "event": "step", "step": 7280, "loss": 4.399439249038696, "lr": 1.9205565148015947e-05} |
| {"timestamp": 1787810388.5892565, "elapsed_hours": 0.4708409224616157, "event": "step", "step": 7300, "loss": 4.437346830368042, "lr": 1.915402455092586e-05} |
| {"timestamp": 1787810392.305042, "elapsed_hours": 0.47187308503521813, "event": "step", "step": 7320, "loss": 4.296456456184387, "lr": 1.9102443682559938e-05} |
| {"timestamp": 1787810396.3178108, "elapsed_hours": 0.47298774308628505, "event": "step", "step": 7340, "loss": 4.355011839866638, "lr": 1.9050823325588928e-05} |
| {"timestamp": 1787810401.7947538, "elapsed_hours": 0.4745091161462996, "event": "sample", "step": 7350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "def find_max(lst):\n max_element = None\n\n def get_largest(lst, pivot: int) -> str:\n return lower_bound.node(val=pivot, upper_bound=[])\n\n def max_element(lst):\n # Step 1: Find the maximum element in a list.\n max_iter = len(minor)\n\n for i, curr in enumerate(lst):\n if curr < max_iter:\n minor = curr\n\n return \"\".join(max_element) + \"\\n\"\n\n\n# Example usage:\nprint()<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810403.6337364, "elapsed_hours": 0.47501994457509783, "event": "step", "step": 7360, "loss": 4.428941969871521, "lr": 1.899916426328275e-05} |
| {"timestamp": 1787810407.6034446, "elapsed_hours": 0.4761226414309608, "event": "step", "step": 7380, "loss": 4.396114311218262, "lr": 1.8947467279498657e-05} |
| {"timestamp": 1787810411.4405963, "elapsed_hours": 0.4771885168552399, "event": "step", "step": 7400, "loss": 4.34197060585022, "lr": 1.8895733158669288e-05} |
| {"timestamp": 1787810415.3008757, "elapsed_hours": 0.4782608167330424, "event": "step", "step": 7420, "loss": 4.371422481536865, "lr": 1.8843962685790787e-05} |
| {"timestamp": 1787810419.5622685, "elapsed_hours": 0.47944453683164384, "event": "step", "step": 7440, "loss": 4.329614787101746, "lr": 1.8792156646410896e-05} |
| {"timestamp": 1787810423.5983005, "elapsed_hours": 0.4805656568871604, "event": "step", "step": 7460, "loss": 4.387472033500671, "lr": 1.8740315826617036e-05} |
| {"timestamp": 1787810427.6408043, "elapsed_hours": 0.48168857468499077, "event": "step", "step": 7480, "loss": 4.41569151878357, "lr": 1.8688441013024366e-05} |
| {"timestamp": 1787810431.3493145, "elapsed_hours": 0.48271871632999847, "event": "step", "step": 7500, "loss": 4.414827327728272, "lr": 1.863653299276386e-05} |
| {"timestamp": 1787810434.0557706, "elapsed_hours": 0.48347050964832305, "event": "sample", "step": 7500, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is the Python function that returns the nth Fibonacci number:\n```python\ndef f(n): \n if n < 0: \n return None, None\n\n fib_sum = [0] * (n - 1) + [f(i)]\n for _ in range(2, n+1):\n\n fib_sum.append(f(n - 1))\n return fib_sum[::-1]\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810444.2414045, "elapsed_hours": 0.48629985246393415, "event": "step", "step": 7520, "loss": 4.436354603767395, "lr": 1.858459255347036e-05} |
| {"timestamp": 1787810448.136973, "elapsed_hours": 0.4873819547891617, "event": "step", "step": 7540, "loss": 4.356919202804566, "lr": 1.8532620483270617e-05} |
| {"timestamp": 1787810452.0707052, "elapsed_hours": 0.4884746581978268, "event": "step", "step": 7560, "loss": 4.427345976829529, "lr": 1.8480617570771343e-05} |
| {"timestamp": 1787810455.90858, "elapsed_hours": 0.4895407346222136, "event": "step", "step": 7580, "loss": 4.368925633430481, "lr": 1.8428584605047247e-05} |
| {"timestamp": 1787810459.7120516, "elapsed_hours": 0.49059725443522134, "event": "step", "step": 7600, "loss": 4.34750657081604, "lr": 1.8376522375629042e-05} |
| {"timestamp": 1787810463.3544157, "elapsed_hours": 0.4916090221537484, "event": "step", "step": 7620, "loss": 4.375366306304931, "lr": 1.832443167249149e-05} |
| {"timestamp": 1787810467.3125103, "elapsed_hours": 0.49270849287509916, "event": "step", "step": 7640, "loss": 4.349042782783508, "lr": 1.8272313286041393e-05} |
| {"timestamp": 1787810472.495937, "elapsed_hours": 0.49414833386739093, "event": "sample", "step": 7650, "prompt": "What is the time complexity of binary search and why?", "sample": "An example of binary search in Python is as follows:\n\n```python\ndef binary_search(n, mid=0): # start with an empty sorted list\n n = [1] * (mid + 1) # there are two elements where the middle item is greater than or equal to mid - 1\n while n < len(n): # I've checked all strings from left to right -- so I can't reverse the list\n n += [2] * mid + 1 # there's only one element in this sorted list.\n\n return (n, end)\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810474.3651094, "elapsed_hours": 0.4946675482061174, "event": "step", "step": 7660, "loss": 4.377892932891846, "lr": 1.822016800710563e-05} |
| {"timestamp": 1787810478.4542253, "elapsed_hours": 0.49580341392093236, "event": "step", "step": 7680, "loss": 4.355936636924744, "lr": 1.8167996626919115e-05} |
| {"timestamp": 1787810482.4022362, "elapsed_hours": 0.4969000835551156, "event": "step", "step": 7700, "loss": 4.393595657348633, "lr": 1.8115799937112825e-05} |
| {"timestamp": 1787810486.1686006, "elapsed_hours": 0.49794629587067496, "event": "step", "step": 7720, "loss": 4.434425401687622, "lr": 1.806357872970177e-05} |
| {"timestamp": 1787810489.9119465, "elapsed_hours": 0.4989861140648524, "event": "step", "step": 7740, "loss": 4.377963857650757, "lr": 1.8011333797072994e-05} |
| {"timestamp": 1787810494.1380577, "elapsed_hours": 0.5001600339015325, "event": "step", "step": 7760, "loss": 4.3691002368927006, "lr": 1.7959065931973523e-05} |
| {"timestamp": 1787810497.8390346, "elapsed_hours": 0.5011880829599169, "event": "step", "step": 7780, "loss": 4.39210391998291, "lr": 1.7906775927498368e-05} |
| {"timestamp": 1787810501.8639317, "elapsed_hours": 0.5023061099317339, "event": "step", "step": 7800, "loss": 4.340878047943115, "lr": 1.785446457707847e-05} |
| {"timestamp": 1787810507.5084774, "elapsed_hours": 0.5038740393850538, "event": "sample", "step": 7800, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string can be palindrome:\n\n```python\ndef check_palindromes(string):\n # Check if the string is a palindrome and return True\n pass\n\n def sort(s):\n # Sort the string in reverse order (in case of a palindrome)\n sorted_string = sorted(s, ''.join((',')))\n\n # Check if the string can contain any palindrome\n for i in range(len(s)): \n\n # If all characters are alphanumeric, return True\n if sorted_string[my_string] == 'aeiou':\n\n ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810512.08306, "elapsed_hours": 0.5051447567674848, "event": "step", "step": 7820, "loss": 4.3558747100830075, "lr": 1.7802132674468657e-05} |
| {"timestamp": 1787810516.0545619, "elapsed_hours": 0.506247951719496, "event": "step", "step": 7840, "loss": 4.386956071853637, "lr": 1.7749781013735627e-05} |
| {"timestamp": 1787810519.9176524, "elapsed_hours": 0.5073210324181451, "event": "step", "step": 7860, "loss": 4.3955335569381715, "lr": 1.769741038924586e-05} |
| {"timestamp": 1787810523.946581, "elapsed_hours": 0.5084401793612374, "event": "step", "step": 7880, "loss": 4.36553726196289, "lr": 1.7645021595653608e-05} |
| {"timestamp": 1787810527.4529443, "elapsed_hours": 0.5094141691260867, "event": "step", "step": 7900, "loss": 4.3802166843414305, "lr": 1.7592615427888796e-05} |
| {"timestamp": 1787810531.664573, "elapsed_hours": 0.5105840659803814, "event": "step", "step": 7920, "loss": 4.347770438194275, "lr": 1.754019268114499e-05} |
| {"timestamp": 1787810535.3862836, "elapsed_hours": 0.5116178743044535, "event": "step", "step": 7940, "loss": 4.383725171089172, "lr": 1.7487754150867318e-05} |
| {"timestamp": 1787810539.0550392, "elapsed_hours": 0.5126369731293784, "event": "sample", "step": 7950, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two different types of data structures that can be used to store data. A queue is a type in which the list is an array or dictionary, and also a set is a key-value pair that maps each element to its own value. In other words, a queue can be used as an array or dictionary in the same way it is called for.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810540.9439514, "elapsed_hours": 0.5131616710291969, "event": "step", "step": 7960, "loss": 4.376720213890076, "lr": 1.7435300632740394e-05} |
| {"timestamp": 1787810544.7382917, "elapsed_hours": 0.5142156544658872, "event": "step", "step": 7980, "loss": 4.3538923263549805, "lr": 1.7382832922676262e-05} |
| {"timestamp": 1787810548.674032, "elapsed_hours": 0.5153089155753453, "event": "step", "step": 8000, "loss": 4.409790005683899, "lr": 1.7330351816802313e-05} |
| {"timestamp": 1787810552.5420964, "elapsed_hours": 0.5163833780421151, "event": "step", "step": 8020, "loss": 4.3808169221878055, "lr": 1.7277858111449185e-05} |
| {"timestamp": 1787810556.5181975, "elapsed_hours": 0.5174878505865733, "event": "step", "step": 8040, "loss": 4.347242565155029, "lr": 1.7225352603138716e-05} |
| {"timestamp": 1787810560.8379724, "elapsed_hours": 0.5186877879169253, "event": "step", "step": 8060, "loss": 4.346917648315429, "lr": 1.717283608857182e-05} |
| {"timestamp": 1787810564.8524396, "elapsed_hours": 0.5198029177718693, "event": "step", "step": 8080, "loss": 4.319977684020996, "lr": 1.712030936461643e-05} |
| {"timestamp": 1787810568.632181, "elapsed_hours": 0.5208528459734387, "event": "step", "step": 8100, "loss": 4.369044132232666, "lr": 1.706777322829539e-05} |
| {"timestamp": 1787810570.0257332, "elapsed_hours": 0.5212399437030156, "event": "sample", "step": 8100, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "def find_max(lst):\n max_value = None\n\n for element in lst:\n if not isinstance(*element, len(lst)):\n max_value = max([index for index in element])\n\n return max_value<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810573.8917563, "elapsed_hours": 0.5223138390647041, "event": "step", "step": 8120, "loss": 4.389482126235962, "lr": 1.701522847677435e-05} |
| {"timestamp": 1787810577.9735215, "elapsed_hours": 0.5234476627243889, "event": "step", "step": 8140, "loss": 4.405717058181763, "lr": 1.6962675907349707e-05} |
| {"timestamp": 1787810581.80895, "elapsed_hours": 0.5245130595233706, "event": "step", "step": 8160, "loss": 4.422799935340882, "lr": 1.691011631743647e-05} |
| {"timestamp": 1787810585.7200909, "elapsed_hours": 0.5255994875563516, "event": "step", "step": 8180, "loss": 4.3767061614990235, "lr": 1.6857550504556177e-05} |
| {"timestamp": 1787810589.4174879, "elapsed_hours": 0.5266265422768063, "event": "step", "step": 8200, "loss": 4.376985635757446, "lr": 1.6804979266324792e-05} |
| {"timestamp": 1787810593.2291238, "elapsed_hours": 0.5276853300465478, "event": "step", "step": 8220, "loss": 4.350179495811463, "lr": 1.6752403400440603e-05} |
| {"timestamp": 1787810596.8877275, "elapsed_hours": 0.5287016089757284, "event": "step", "step": 8240, "loss": 4.373438339233399, "lr": 1.6699823704672115e-05} |
| {"timestamp": 1787810600.9131403, "elapsed_hours": 0.5298197790649202, "event": "sample", "step": 8250, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that returns the nth Fibonacci number:\n```python\ndef fib(n): \n if n < 2: return 0\n\n for i in range(2, int(math.sqrt(n)) + 1):\n if n == 2: return 0\n\n return fib(i)\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810609.7455177, "elapsed_hours": 0.5322732173071967, "event": "step", "step": 8260, "loss": 4.369097743034363, "lr": 1.664724097684594e-05} |
| {"timestamp": 1787810613.9702125, "elapsed_hours": 0.5334467436207665, "event": "step", "step": 8280, "loss": 4.40817551612854, "lr": 1.6594656014834703e-05} |
| {"timestamp": 1787810617.8697472, "elapsed_hours": 0.5345299476385117, "event": "step", "step": 8300, "loss": 4.404576301574707, "lr": 1.6542069616544942e-05} |
| {"timestamp": 1787810621.6433296, "elapsed_hours": 0.5355781649880939, "event": "step", "step": 8320, "loss": 4.369515962600708, "lr": 1.648948257990497e-05} |
| {"timestamp": 1787810625.5209517, "elapsed_hours": 0.536655282245742, "event": "step", "step": 8340, "loss": 4.345903830528259, "lr": 1.6436895702852793e-05} |
| {"timestamp": 1787810629.5816863, "elapsed_hours": 0.5377832641204198, "event": "step", "step": 8360, "loss": 4.358914804458618, "lr": 1.6384309783323994e-05} |
| {"timestamp": 1787810633.3906074, "elapsed_hours": 0.5388412976927227, "event": "step", "step": 8380, "loss": 4.4175060892105105, "lr": 1.633172561923963e-05} |
| {"timestamp": 1787810637.2194273, "elapsed_hours": 0.5399048588011, "event": "step", "step": 8400, "loss": 4.42834463596344, "lr": 1.627914400849412e-05} |
| {"timestamp": 1787810637.8094702, "elapsed_hours": 0.5400687596533034, "event": "sample", "step": 8400, "prompt": "What is the time complexity of binary search and why?", "sample": "99% time complexity of binary search is O(n^2) where n is the number of elements in a set.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810641.759853, "elapsed_hours": 0.5411660881837209, "event": "step", "step": 8420, "loss": 4.385242595672607, "lr": 1.622656574894314e-05} |
| {"timestamp": 1787810645.5434985, "elapsed_hours": 0.542217100792461, "event": "step", "step": 8440, "loss": 4.3665182447433475, "lr": 1.617399163839151e-05} |
| {"timestamp": 1787810649.510761, "elapsed_hours": 0.5433191182878282, "event": "step", "step": 8460, "loss": 4.357847170829773, "lr": 1.6121422474581106e-05} |
| {"timestamp": 1787810653.4871683, "elapsed_hours": 0.5444236757357915, "event": "step", "step": 8480, "loss": 4.382809805870056, "lr": 1.6068859055178737e-05} |
| {"timestamp": 1787810657.6979394, "elapsed_hours": 0.5455933343701892, "event": "step", "step": 8500, "loss": 4.395999069213867, "lr": 1.601630217776405e-05} |
| {"timestamp": 1787810661.5792418, "elapsed_hours": 0.5466714738474951, "event": "step", "step": 8520, "loss": 4.407766346931457, "lr": 1.596375263981742e-05} |
| {"timestamp": 1787810665.4907718, "elapsed_hours": 0.5477580099635654, "event": "step", "step": 8540, "loss": 4.370261516571045, "lr": 1.5911211238707865e-05} |
| {"timestamp": 1787810669.3355021, "elapsed_hours": 0.5488259908225801, "event": "sample", "step": 8550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string is palindrome:\n```python\ndef is_palindrome(string):\n # Remove non-alphanumeric characters and convert to lowercase\n string = number.lower()\n\n return list(string) == [number for number in str(int(digit)) if digit != '0']\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810671.4313533, "elapsed_hours": 0.5494081715080473, "event": "step", "step": 8560, "loss": 4.360662813186646, "lr": 1.5858678771680928e-05} |
| {"timestamp": 1787810675.2124963, "elapsed_hours": 0.5504584891928567, "event": "step", "step": 8580, "loss": 4.365638508796692, "lr": 1.58061560358466e-05} |
| {"timestamp": 1787810679.0617683, "elapsed_hours": 0.5515277312861548, "event": "step", "step": 8600, "loss": 4.326673817634583, "lr": 1.57536438281672e-05} |
| {"timestamp": 1787810683.0651662, "elapsed_hours": 0.5526397861374749, "event": "step", "step": 8620, "loss": 4.359853911399841, "lr": 1.5701142945445317e-05} |
| {"timestamp": 1787810686.8282948, "elapsed_hours": 0.5536850997474458, "event": "step", "step": 8640, "loss": 4.3826901149749755, "lr": 1.5648654184311678e-05} |
| {"timestamp": 1787810690.8118927, "elapsed_hours": 0.5547916548119651, "event": "step", "step": 8660, "loss": 4.338463978767395, "lr": 1.559617834121309e-05} |
| {"timestamp": 1787810694.6798224, "elapsed_hours": 0.5558660795953538, "event": "step", "step": 8680, "loss": 4.3572753190994264, "lr": 1.5543716212400344e-05} |
| {"timestamp": 1787810698.391664, "elapsed_hours": 0.5568971469004949, "event": "step", "step": 8700, "loss": 4.42338080406189, "lr": 1.5491268593916142e-05} |
| {"timestamp": 1787810700.8795164, "elapsed_hours": 0.5575882168610891, "event": "sample", "step": 8700, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two different types of nodes. Each node has its own set of data and the value at that point in memory is the->queue[0]. The number of items to be added in order for the stack to members as a class of nodes can both be considered multiple layers or iterators.\n\nIn the case where we have two containers (a container and an object), a stack is crucial because our data can be copied to another node. When we eat items, they are added in the list rather than iterating over them.<", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810704.753217, "elapsed_hours": 0.5586642448769675, "event": "step", "step": 8720, "loss": 4.405352091789245, "lr": 1.5438836281583002e-05} |
| {"timestamp": 1787810708.6018183, "elapsed_hours": 0.5597333008050919, "event": "step", "step": 8740, "loss": 4.383397884368897, "lr": 1.5386420070991194e-05} |
| {"timestamp": 1787810712.6409497, "elapsed_hours": 0.5608552816841338, "event": "step", "step": 8760, "loss": 4.336622610092163, "lr": 1.533402075748667e-05} |
| {"timestamp": 1787810716.7813153, "elapsed_hours": 0.562005383239852, "event": "step", "step": 8780, "loss": 4.350932488441467, "lr": 1.5281639136158994e-05} |
| {"timestamp": 1787810720.7826393, "elapsed_hours": 0.5631168622440762, "event": "step", "step": 8800, "loss": 4.384348773956299, "lr": 1.5229276001829257e-05} |
| {"timestamp": 1787810724.7602298, "elapsed_hours": 0.5642217484447691, "event": "step", "step": 8820, "loss": 4.387609748840332, "lr": 1.5176932149038052e-05} |
| {"timestamp": 1787810728.9606345, "elapsed_hours": 0.5653885273800956, "event": "step", "step": 8840, "loss": 4.447053031921387, "lr": 1.5124608372033397e-05} |
| {"timestamp": 1787810735.351182, "elapsed_hours": 0.567163679599762, "event": "sample", "step": 8850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "You can use the following python function to find the maximum element in a list:\n\n```python\ndef max_element(lst):\n # Convert input list to an array of elements\n arr = [x for x in lst if isinstance(x, int) and i == 0]\n\n # Initialize the maximum element\n max_max = 1\n\n for i in arr:\n # Get the current element's maximum element\n max_max += i\n\n return max_max\n```\n\nYou can call this function with your list of lists as an argument, like so:\n\n```python\nmy_list = [1, 2, 3]", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810737.3778954, "elapsed_hours": 0.5677266554700003, "event": "step", "step": 8860, "loss": 4.409070315361023, "lr": 1.5072305464758682e-05} |
| {"timestamp": 1787810741.0774982, "elapsed_hours": 0.5687543228599761, "event": "step", "step": 8880, "loss": 4.360380477905274, "lr": 1.5020024220840631e-05} |
| {"timestamp": 1787810744.9381785, "elapsed_hours": 0.569826734132237, "event": "step", "step": 8900, "loss": 4.399992117881775, "lr": 1.4967765433577253e-05} |
| {"timestamp": 1787810748.6974163, "elapsed_hours": 0.5708709669113159, "event": "step", "step": 8920, "loss": 4.3794460248947145, "lr": 1.491552989592581e-05} |
| {"timestamp": 1787810752.6924639, "elapsed_hours": 0.5719807022147708, "event": "step", "step": 8940, "loss": 4.3564633893966676, "lr": 1.4863318400490784e-05} |
| {"timestamp": 1787810756.7036083, "elapsed_hours": 0.5730949090586768, "event": "step", "step": 8960, "loss": 4.356124801635742, "lr": 1.4811131739511838e-05} |
| {"timestamp": 1787810760.4580703, "elapsed_hours": 0.5741378150383631, "event": "step", "step": 8980, "loss": 4.381265268325806, "lr": 1.4758970704851815e-05} |
| {"timestamp": 1787810764.3114214, "elapsed_hours": 0.5752081905470954, "event": "step", "step": 9000, "loss": 4.342662572860718, "lr": 1.470683608798471e-05} |
| {"timestamp": 1787810766.07587, "elapsed_hours": 0.5756983151038487, "event": "sample", "step": 9000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def nth_fibonacci(n): \n if n == 0: return 1\n else: \n fib = 2\n\n # Find the first Fibonacci number.\n for _ in range(2, n): \n if fib[r][n-1] == fib[r+1][n]: \n fib.append(fib)<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810776.050472, "elapsed_hours": 0.5784690378771888, "event": "step", "step": 9020, "loss": 4.387172594070434, "lr": 1.4654728679983666e-05} |
| {"timestamp": 1787810780.1632297, "elapsed_hours": 0.5796114705668556, "event": "step", "step": 9040, "loss": 4.396984491348267, "lr": 1.4602649271508963e-05} |
| {"timestamp": 1787810783.8731685, "elapsed_hours": 0.58064200911257, "event": "step", "step": 9060, "loss": 4.357194347381592, "lr": 1.455059865279603e-05} |
| {"timestamp": 1787810788.1137514, "elapsed_hours": 0.5818199489514033, "event": "step", "step": 9080, "loss": 4.414842853546142, "lr": 1.4498577613643445e-05} |
| {"timestamp": 1787810791.8628483, "elapsed_hours": 0.5828613646162881, "event": "step", "step": 9100, "loss": 4.418566970825196, "lr": 1.4446586943400958e-05} |
| {"timestamp": 1787810795.5221043, "elapsed_hours": 0.583877824611134, "event": "step", "step": 9120, "loss": 4.437863359451294, "lr": 1.4394627430957516e-05} |
| {"timestamp": 1787810799.3738203, "elapsed_hours": 0.5849477458000183, "event": "step", "step": 9140, "loss": 4.365578575134277, "lr": 1.4342699864729281e-05} |
| {"timestamp": 1787810805.6941981, "elapsed_hours": 0.586703406241205, "event": "sample", "step": 9150, "prompt": "What is the time complexity of binary search and why?", "sample": "If you are programming for binary search and want to find a time complexity, then your code should look something like this:\n```python\ndef bk_match(start=0, end=-1): # If the start and end points of the range are 0 (not present)\n a = -1\n b = 1\n\n while(start < b):\n if start >= 0 and end <= n: # If the end points are 1, then there is an element in search range \n q = start + (end - start) // 2\n elif end >= 0 and start <= n: # If the end points are 0, then there is an element in sear", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810807.534238, "elapsed_hours": 0.5872145285871294, "event": "step", "step": 9160, "loss": 4.357766280174255, "lr": 1.4290805032647678e-05} |
| {"timestamp": 1787810812.3797193, "elapsed_hours": 0.588560495376587, "event": "step", "step": 9180, "loss": 4.412368249893189, "lr": 1.4238943722147432e-05} |
| {"timestamp": 1787810816.4209502, "elapsed_hours": 0.5896830597188738, "event": "step", "step": 9200, "loss": 4.348180599212647, "lr": 1.4187116720154627e-05} |
| {"timestamp": 1787810820.4288356, "elapsed_hours": 0.5907963611682256, "event": "step", "step": 9220, "loss": 4.413477020263672, "lr": 1.4135324813074757e-05} |
| {"timestamp": 1787810824.0096908, "elapsed_hours": 0.5917910432815552, "event": "step", "step": 9240, "loss": 4.379451322555542, "lr": 1.4083568786780801e-05} |
| {"timestamp": 1787810827.7053587, "elapsed_hours": 0.592817617588573, "event": "step", "step": 9260, "loss": 4.3668498706817624, "lr": 1.4031849426601292e-05} |
| {"timestamp": 1787810832.051755, "elapsed_hours": 0.5940249497360653, "event": "step", "step": 9280, "loss": 4.315267519950867, "lr": 1.3980167517308407e-05} |
| {"timestamp": 1787810835.9548488, "elapsed_hours": 0.5951091425948672, "event": "step", "step": 9300, "loss": 4.376013345718384, "lr": 1.3928523843106052e-05} |
| {"timestamp": 1787810844.750511, "elapsed_hours": 0.5975523821512858, "event": "sample", "step": 9300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "To check if a string is palindrome, we first need to find all the lowercase letters of each character in the input string. After that, we find all the uppercase letters from both characters and check if their corresponds to a palindrome.\n\n```python\ndef is_palindromes(s): \n # Check if length of string is equal to 1 \n if len(s) > 0: \n return False\n\n # Check for characters that start with a letter \n for i in range(1, len(s) - 1): \n if s[i] == s[:i+2]: \n return F", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810848.840321, "elapsed_hours": 0.5986884404553308, "event": "step", "step": 9320, "loss": 4.389567823410034, "lr": 1.3876919187617972e-05} |
| {"timestamp": 1787810852.8448498, "elapsed_hours": 0.5998008095555836, "event": "step", "step": 9340, "loss": 4.4118215227127076, "lr": 1.3825354333875848e-05} |
| {"timestamp": 1787810856.8524292, "elapsed_hours": 0.6009140259689755, "event": "step", "step": 9360, "loss": 4.378053851127625, "lr": 1.3773830064307428e-05} |
| {"timestamp": 1787810860.6014183, "elapsed_hours": 0.6019554117653105, "event": "step", "step": 9380, "loss": 4.380730509757996, "lr": 1.372234716072465e-05} |
| {"timestamp": 1787810864.5897272, "elapsed_hours": 0.6030632754166921, "event": "step", "step": 9400, "loss": 4.3965658187866214, "lr": 1.3670906404311771e-05} |
| {"timestamp": 1787810868.6216893, "elapsed_hours": 0.6041832648383246, "event": "step", "step": 9420, "loss": 4.427059984207153, "lr": 1.3619508575613534e-05} |
| {"timestamp": 1787810872.4513106, "elapsed_hours": 0.6052470486031638, "event": "step", "step": 9440, "loss": 4.373774108886718, "lr": 1.3568154454523298e-05} |
| {"timestamp": 1787810880.1657476, "elapsed_hours": 0.607389947772026, "event": "sample", "step": 9450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is an empty collection of items that can be printed in any order. Here's a step-by-step analysis:\n\n1. The size of the stack is the amount of items to be printed, because each item has its own unique ID and the contents can only contain one item per page.\n2. There are two types of items: a stack and an empty collection, which is just a single digit that you need to check for the size.\n3. Each item in the queue has its own unique ID and can be any of the following types:\n a) 1 (a stack-b", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810882.1346414, "elapsed_hours": 0.6079368626409106, "event": "step", "step": 9460, "loss": 4.35729028224945, "lr": 1.3516844820271224e-05} |
| {"timestamp": 1787810885.9943657, "elapsed_hours": 0.609009008275138, "event": "step", "step": 9480, "loss": 4.324893984794617, "lr": 1.3465580451412446e-05} |
| {"timestamp": 1787810889.845383, "elapsed_hours": 0.6100787353515625, "event": "step", "step": 9500, "loss": 4.33454421043396, "lr": 1.3414362125815251e-05} |
| {"timestamp": 1787810893.7920344, "elapsed_hours": 0.6111750274234348, "event": "step", "step": 9520, "loss": 4.372971692085266, "lr": 1.3363190620649286e-05} |
| {"timestamp": 1787810897.5181425, "elapsed_hours": 0.6122100574440427, "event": "step", "step": 9540, "loss": 4.368037114143371, "lr": 1.331206671237376e-05} |
| {"timestamp": 1787810901.2603693, "elapsed_hours": 0.613249564965566, "event": "step", "step": 9560, "loss": 4.390549020767212, "lr": 1.3260991176725653e-05} |
| {"timestamp": 1787810905.292593, "elapsed_hours": 0.6143696271048652, "event": "step", "step": 9580, "loss": 4.397704467773438, "lr": 1.3209964788707977e-05} |
| {"timestamp": 1787810909.2268155, "elapsed_hours": 0.61546246667703, "event": "step", "step": 9600, "loss": 4.4192835521698, "lr": 1.315898832257797e-05} |
| {"timestamp": 1787810911.1052825, "elapsed_hours": 0.6159842629565133, "event": "sample", "step": 9600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in a list:\n```python\ndef find_max(lst):\n max = 0\n for item in lst:\n if list(item) < max:\n max = item\n return max\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810915.3068788, "elapsed_hours": 0.6171513732274373, "event": "step", "step": 9620, "loss": 4.353222322463989, "lr": 1.3108062551835387e-05} |
| {"timestamp": 1787810919.093341, "elapsed_hours": 0.6182031681140264, "event": "step", "step": 9640, "loss": 4.37133496761322, "lr": 1.3057188249210745e-05} |
| {"timestamp": 1787810923.1498413, "elapsed_hours": 0.619329973856608, "event": "step", "step": 9660, "loss": 4.346786699295044, "lr": 1.3006366186653597e-05} |
| {"timestamp": 1787810927.3775187, "elapsed_hours": 0.6205043286747403, "event": "step", "step": 9680, "loss": 4.376593313217163, "lr": 1.2955597135320827e-05} |
| {"timestamp": 1787810930.9357705, "elapsed_hours": 0.6214927319023344, "event": "step", "step": 9700, "loss": 4.424053764343261, "lr": 1.2904881865564946e-05} |
| {"timestamp": 1787810934.7513833, "elapsed_hours": 0.6225526242785984, "event": "step", "step": 9720, "loss": 4.370868849754333, "lr": 1.2854221146922395e-05} |
| {"timestamp": 1787810938.596277, "elapsed_hours": 0.6236206504371431, "event": "step", "step": 9740, "loss": 4.3870028877258305, "lr": 1.280361574810188e-05} |
| {"timestamp": 1787810946.22407, "elapsed_hours": 0.6257394817140367, "event": "sample", "step": 9750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def nthFibonacci(n):\n if n < 0: return 1\n\n for i in range(2, int(input(\"Enter the first number to be compared (inclusive): \"))):\n if n < 0: return i\n\n try:\n prime = int(input(\"Enter the first number to be compared (inclusive): \"))\n\n if n % i == 0:\n return prime, num\n\n except ValueError:\n root = input(\"Enter the second number to be compared (inclusive): \")\n\n if n % i == 0:\n return main(root)\n\n if root >= n and is_prime(ro", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810954.3478043, "elapsed_hours": 0.6279960746897592, "event": "step", "step": 9760, "loss": 4.366835737228394, "lr": 1.2753066436972704e-05} |
| {"timestamp": 1787810958.3387723, "elapsed_hours": 0.6291046769089169, "event": "step", "step": 9780, "loss": 4.34804217338562, "lr": 1.2702573980553108e-05} |
| {"timestamp": 1787810962.1252549, "elapsed_hours": 0.6301564774910609, "event": "step", "step": 9800, "loss": 4.358466038703918, "lr": 1.2652139144998641e-05} |
| {"timestamp": 1787810965.8582666, "elapsed_hours": 0.6311934251255459, "event": "step", "step": 9820, "loss": 4.412037091255188, "lr": 1.2601762695590539e-05} |
| {"timestamp": 1787810969.7623546, "elapsed_hours": 0.6322778943512175, "event": "step", "step": 9840, "loss": 4.397591066360474, "lr": 1.25514453967241e-05} |
| {"timestamp": 1787810973.7036846, "elapsed_hours": 0.6333727080954445, "event": "step", "step": 9860, "loss": 4.360812997817993, "lr": 1.2501188011897085e-05} |
| {"timestamp": 1787810977.563085, "elapsed_hours": 0.6344447637266583, "event": "step", "step": 9880, "loss": 4.37356068611145, "lr": 1.2450991303698156e-05} |
| {"timestamp": 1787810981.5949295, "elapsed_hours": 0.635564720498191, "event": "step", "step": 9900, "loss": 4.416904497146606, "lr": 1.2400856033795276e-05} |
| {"timestamp": 1787810990.3750536, "elapsed_hours": 0.6380036439498266, "event": "sample", "step": 9900, "prompt": "What is the time complexity of binary search and why?", "sample": "If an array is quite large, it will take linear time complexity. In this case, one of the most common cases is when you have to find anything that's less than a certain limit. \nOne way to solve this problem is by using dynamic programming techniques like Quick Sort or Binespace, which are used in binary search algorithms and Double-Sorted (BSP) algorithm. \nHere is a simple example: \n\n\n```c++\n// Multiplication of two integers using dynamic programming\nusing System;\nclass Program {\npublic static v", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787810994.0752132, "elapsed_hours": 0.6390314661131965, "event": "step", "step": 9920, "loss": 4.363911757469177, "lr": 1.2350782962924166e-05} |
| {"timestamp": 1787810998.3880265, "elapsed_hours": 0.6402294697364171, "event": "step", "step": 9940, "loss": 4.388421950340271, "lr": 1.230077285087676e-05} |
| {"timestamp": 1787811002.3591695, "elapsed_hours": 0.6413325648837619, "event": "step", "step": 9960, "loss": 4.381144762039185, "lr": 1.2250826456489682e-05} |
| {"timestamp": 1787811006.331304, "elapsed_hours": 0.6424359356694751, "event": "step", "step": 9980, "loss": 4.329350433349609, "lr": 1.2200944537632715e-05} |
| {"timestamp": 1787811010.1857235, "elapsed_hours": 0.6435066078768836, "event": "step", "step": 10000, "loss": 4.372612619400025, "lr": 1.215112785119732e-05} |
| {"timestamp": 1787811014.1269748, "elapsed_hours": 0.6446013998323017, "event": "step", "step": 10020, "loss": 4.382387337684631, "lr": 1.2101377153085145e-05} |
| {"timestamp": 1787811018.177964, "elapsed_hours": 0.6457266745302412, "event": "step", "step": 10040, "loss": 4.374400486946106, "lr": 1.205169319819654e-05} |
| {"timestamp": 1787811024.5853257, "elapsed_hours": 0.6475064972374174, "event": "sample", "step": 10050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Below is the Python function.\n\n```python\ndef is_palindrome(s): \n # Create a dictionary to store characters in the string. \n char_dict = {}\n for i, c in enumerate(s): \n if char_dict[i] == 'a': \n return False \n\n # Remove all characters in the string using a list comprehension.\n char_list = [ord(char) for char in c]\n\n # Find the index of the last character in the string and return it\n for i, char_index in enumerate(char_list):\n\n # Check if character is a pa", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811026.3533657, "elapsed_hours": 0.6479976195096969, "event": "step", "step": 10060, "loss": 4.4078442668914795, "lr": 1.2002076740419134e-05} |
| {"timestamp": 1787811030.2728007, "elapsed_hours": 0.6490863513946533, "event": "step", "step": 10080, "loss": 4.349600510597229, "lr": 1.1952528532616363e-05} |
| {"timestamp": 1787811034.0504415, "elapsed_hours": 0.6501356960667504, "event": "step", "step": 10100, "loss": 4.357036771774292, "lr": 1.1903049326616067e-05} |
| {"timestamp": 1787811037.9440033, "elapsed_hours": 0.6512172409560946, "event": "step", "step": 10120, "loss": 4.318653340339661, "lr": 1.1853639873199079e-05} |
| {"timestamp": 1787811041.7268865, "elapsed_hours": 0.6522680419021183, "event": "step", "step": 10140, "loss": 4.348706541061401, "lr": 1.180430092208782e-05} |
| {"timestamp": 1787811045.823568, "elapsed_hours": 0.6534060090117985, "event": "step", "step": 10160, "loss": 4.3631993103027344, "lr": 1.1755033221934945e-05} |
| {"timestamp": 1787811049.6012669, "elapsed_hours": 0.6544553697771496, "event": "step", "step": 10180, "loss": 4.342430982589722, "lr": 1.170583752031196e-05} |
| {"timestamp": 1787811053.274628, "elapsed_hours": 0.6554757477839788, "event": "step", "step": 10200, "loss": 4.366966471672058, "lr": 1.1656714563697892e-05} |
| {"timestamp": 1787811055.2043302, "elapsed_hours": 0.6560117762618595, "event": "sample", "step": 10200, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a data structure that stores the nodes and their collections. A queue is an instance of a class, which means it can store various types such as lists or dictionaries. The base class represents the data structure used to represent objects and their collections. A queue is an instance of a struct, meaning it can store all its children or elements. The base class represents the data structure used to represent objects and their collections.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811059.0311162, "elapsed_hours": 0.6570747723844317, "event": "step", "step": 10220, "loss": 4.348207836151123, "lr": 1.1607665097467971e-05} |
| {"timestamp": 1787811063.093111, "elapsed_hours": 0.6582031043370565, "event": "step", "step": 10240, "loss": 4.377101159095764, "lr": 1.1558689865882291e-05} |
| {"timestamp": 1787811066.891613, "elapsed_hours": 0.6592582437727187, "event": "step", "step": 10260, "loss": 4.435563688278198, "lr": 1.1509789612074549e-05} |
| {"timestamp": 1787811070.883989, "elapsed_hours": 0.6603672370645735, "event": "step", "step": 10280, "loss": 4.37291051864624, "lr": 1.1460965078040744e-05} |
| {"timestamp": 1787811074.852708, "elapsed_hours": 0.6614696589443418, "event": "step", "step": 10300, "loss": 4.376815028190613, "lr": 1.1412217004627933e-05} |
| {"timestamp": 1787811078.6203215, "elapsed_hours": 0.662516218357616, "event": "step", "step": 10320, "loss": 4.381583776473999, "lr": 1.1363546131522986e-05} |
| {"timestamp": 1787811082.6363225, "elapsed_hours": 0.6636317741208606, "event": "step", "step": 10340, "loss": 4.399039387702942, "lr": 1.1314953197241365e-05} |
| {"timestamp": 1787811089.6698842, "elapsed_hours": 0.6655855411953396, "event": "sample", "step": 10350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an list:\n```python\ndef find_max(lst): \n # Initialize max to every number from 1 in the original list.\n max = 0\n\n for num in lst:\n # Check if num is less than or equal to max, then return average. mean_of_sum(num)\n\n if not num:\n total = 0\n\n # Return average, mean and max.\n\n return [average for _ in range(max)]\n```\nThis function uses a nested loop to iterate over the list, and if we find one with average equal to max (corr", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811091.712093, "elapsed_hours": 0.6661528215143415, "event": "step", "step": 10360, "loss": 4.356209740638733, "lr": 1.1266438939115905e-05} |
| {"timestamp": 1787811095.478468, "elapsed_hours": 0.6671990367439058, "event": "step", "step": 10380, "loss": 4.351471047401429, "lr": 1.1218004093285642e-05} |
| {"timestamp": 1787811099.6870093, "elapsed_hours": 0.668368076019817, "event": "step", "step": 10400, "loss": 4.379652194976806, "lr": 1.1169649394684637e-05} |
| {"timestamp": 1787811103.3821704, "elapsed_hours": 0.6693945096598731, "event": "step", "step": 10420, "loss": 4.367506732940674, "lr": 1.1121375577030819e-05} |
| {"timestamp": 1787811107.335694, "elapsed_hours": 0.6704927106698354, "event": "step", "step": 10440, "loss": 4.349457907676697, "lr": 1.1073183372814861e-05} |
| {"timestamp": 1787811111.6723766, "elapsed_hours": 0.6716973447799682, "event": "step", "step": 10460, "loss": 4.342021727561951, "lr": 1.1025073513289064e-05} |
| {"timestamp": 1787811115.8320425, "elapsed_hours": 0.6728528073761199, "event": "step", "step": 10480, "loss": 4.332491574287414, "lr": 1.0977046728456249e-05} |
| {"timestamp": 1787811119.7207627, "elapsed_hours": 0.6739330074522231, "event": "step", "step": 10500, "loss": 4.3737269258499145, "lr": 1.0929103747058697e-05} |
| {"timestamp": 1787811123.346903, "elapsed_hours": 0.6749402687284681, "event": "sample", "step": 10500, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is the Python function that returns the nth Fibonacci number:\n```python\ndef fib(n):\n if n <= 1 or 2 * n <= 5:\n return \"Error: Fibonacci number is not a valid integer.\"\n\n if 'F' in fib(n):\n return f\"{fib} {n-1} (How many numbers between 1 to n - 10 are a Fibonacci number?) \"\n else: # Example usage of fib(1)\n return fib(n-2) + Fibonacci(fib())(3, 'F')+1\n\n\nprint(f'The Fibonacci number is {fib}', fib())\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811133.924897, "elapsed_hours": 0.6778786004914178, "event": "step", "step": 10520, "loss": 4.369068684577942, "lr": 1.0881245296567085e-05} |
| {"timestamp": 1787811138.244375, "elapsed_hours": 0.6790784553024504, "event": "step", "step": 10540, "loss": 4.410008268356323, "lr": 1.083347210316943e-05} |
| {"timestamp": 1787811142.157709, "elapsed_hours": 0.6801654926273558, "event": "step", "step": 10560, "loss": 4.428227858543396, "lr": 1.0785784891760118e-05} |
| {"timestamp": 1787811146.215824, "elapsed_hours": 0.6812927467293209, "event": "step", "step": 10580, "loss": 4.383736157417298, "lr": 1.0738184385928844e-05} |
| {"timestamp": 1787811149.9969308, "elapsed_hours": 0.682343054148886, "event": "step", "step": 10600, "loss": 4.392557349205017, "lr": 1.0690671307949678e-05} |
| {"timestamp": 1787811153.8823233, "elapsed_hours": 0.6834223298231761, "event": "step", "step": 10620, "loss": 4.34420184135437, "lr": 1.0643246378770082e-05} |
| {"timestamp": 1787811157.50167, "elapsed_hours": 0.6844277040163675, "event": "step", "step": 10640, "loss": 4.387902917861939, "lr": 1.059591031799998e-05} |
| {"timestamp": 1787811168.2768564, "elapsed_hours": 0.6874208113882276, "event": "sample", "step": 10650, "prompt": "What is the time complexity of binary search and why?", "sample": "To find the time complexity of binary search and why, we need to follow a simple approach. \n\nLet's assume that there are two branches: root 1 (root 2) and root 3 (root 4). Then we have to find the shortest path from root 2 to root 1, which is (-1+0)/2 = -1/4. \n\nNow let's find the shortest path from root 4 to a node (the root of this graph, where we have next minimum value in a tree).\n\nThe time complexity for binary search is \nO(n log n) because \nfor every node A, B in G such that P(B|A)=1+P(B) =", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811170.322467, "elapsed_hours": 0.6879890366395315, "event": "step", "step": 10660, "loss": 4.377357425689698, "lr": 1.0548663843900835e-05} |
| {"timestamp": 1787811174.3077042, "elapsed_hours": 0.6890960468186272, "event": "step", "step": 10680, "loss": 4.364804730415345, "lr": 1.050150767337475e-05} |
| {"timestamp": 1787811178.3824275, "elapsed_hours": 0.6902279144525528, "event": "step", "step": 10700, "loss": 4.324759435653687, "lr": 1.0454442521953606e-05} |
| {"timestamp": 1787811182.6276207, "elapsed_hours": 0.691407134797838, "event": "step", "step": 10720, "loss": 4.376378426551819, "lr": 1.0407469103788169e-05} |
| {"timestamp": 1787811186.5462077, "elapsed_hours": 0.6924956312444475, "event": "step", "step": 10740, "loss": 4.369228949546814, "lr": 1.0360588131637293e-05} |
| {"timestamp": 1787811190.383896, "elapsed_hours": 0.6935616556141112, "event": "step", "step": 10760, "loss": 4.355451893806458, "lr": 1.0313800316857078e-05} |
| {"timestamp": 1787811194.1034906, "elapsed_hours": 0.6945948762363857, "event": "step", "step": 10780, "loss": 4.390616703033447, "lr": 1.0267106369390088e-05} |
| {"timestamp": 1787811198.2295265, "elapsed_hours": 0.6957409975263807, "event": "step", "step": 10800, "loss": 4.418788847923278, "lr": 1.0220506997754576e-05} |
| {"timestamp": 1787811199.313514, "elapsed_hours": 0.6960421050919426, "event": "sample", "step": 10800, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(str): \n\tif len(str) < 3: \n\t\treturn False, \"Strings start with a space\"\n\n\tprint(\"The string is a palindrome.\")<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811202.9682696, "elapsed_hours": 0.6970573149124781, "event": "step", "step": 10820, "loss": 4.388181796073914, "lr": 1.0174002909033735e-05} |
| {"timestamp": 1787811206.9150271, "elapsed_hours": 0.6981536367204454, "event": "step", "step": 10840, "loss": 4.3357348012924195, "lr": 1.0127594808864963e-05} |
| {"timestamp": 1787811210.789452, "elapsed_hours": 0.6992298656702042, "event": "step", "step": 10860, "loss": 4.382092328071594, "lr": 1.0081283401429166e-05} |
| {"timestamp": 1787811214.8872013, "elapsed_hours": 0.7003681294123332, "event": "step", "step": 10880, "loss": 4.401959929466248, "lr": 1.003506938944006e-05} |
| {"timestamp": 1787811218.487442, "elapsed_hours": 0.7013681963417265, "event": "step", "step": 10900, "loss": 4.4481524467468265, "lr": 9.98895347413352e-06} |
| {"timestamp": 1787811222.329927, "elapsed_hours": 0.7024355531401104, "event": "step", "step": 10920, "loss": 4.372989192008972, "lr": 9.94293635525693e-06} |
| {"timestamp": 1787811226.152761, "elapsed_hours": 0.7034974515438079, "event": "step", "step": 10940, "loss": 4.397409234046936, "lr": 9.897018731058578e-06} |
| {"timestamp": 1787811231.9208322, "elapsed_hours": 0.7050996936029859, "event": "sample", "step": 10950, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a sequence of elements that are transported from one node up to another. In an array, each element of the stack has a value (length) and size that is equal to its own length (width). Each node in the queue represents an element, with no more than \"len\" elements.\n\nA queue is a sequence of nodes that are connected to one another by two or more nodes in the same direction, and these nodes are joined together.\n\nWhen we say \"all nodes get added\" (which is a stack), it means that the curren", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811233.8085, "elapsed_hours": 0.7056240456634097, "event": "step", "step": 10960, "loss": 4.367801165580749, "lr": 9.851201298277048e-06} |
| {"timestamp": 1787811237.6319866, "elapsed_hours": 0.7066861253976822, "event": "step", "step": 10980, "loss": 4.410565299987793, "lr": 9.805484752130655e-06} |
| {"timestamp": 1787811241.6191747, "elapsed_hours": 0.7077936775154537, "event": "step", "step": 11000, "loss": 4.345343022346497, "lr": 9.759869786306888e-06} |
| {"timestamp": 1787811245.6590724, "elapsed_hours": 0.7089158713817596, "event": "step", "step": 11020, "loss": 4.3744537019729615, "lr": 9.7143570929519e-06} |
| {"timestamp": 1787811249.3816447, "elapsed_hours": 0.7099499191840489, "event": "step", "step": 11040, "loss": 4.3550591564178465, "lr": 9.668947362659994e-06} |
| {"timestamp": 1787811253.1656725, "elapsed_hours": 0.7110010380877388, "event": "step", "step": 11060, "loss": 4.418184714317322, "lr": 9.62364128446314e-06} |
| {"timestamp": 1787811257.090823, "elapsed_hours": 0.7120913575755226, "event": "step", "step": 11080, "loss": 4.4100961065292354, "lr": 9.578439545820528e-06} |
| {"timestamp": 1787811260.9129715, "elapsed_hours": 0.7131530655092663, "event": "step", "step": 11100, "loss": 4.403807349205017, "lr": 9.533342832608138e-06} |
| {"timestamp": 1787811263.1515555, "elapsed_hours": 0.7137748944097095, "event": "sample", "step": 11100, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an input list of numbers and then returns the result:\n```python\ndef max_element(lst): \n max = float('-inf')\n\n for num in lst:\n if isinstance(num, int):\n max = max_element(max)\n\n return max<|/think|><|endoftext|>", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811267.110575, "elapsed_hours": 0.7148746220933067, "event": "step", "step": 11120, "loss": 4.364938220977783, "lr": 9.488351829108329e-06} |
| {"timestamp": 1787811271.2043214, "elapsed_hours": 0.716011773745219, "event": "step", "step": 11140, "loss": 4.355436792373657, "lr": 9.443467217999452e-06} |
| {"timestamp": 1787811274.9927638, "elapsed_hours": 0.7170641188489066, "event": "step", "step": 11160, "loss": 4.400826482772827, "lr": 9.398689680345503e-06} |
| {"timestamp": 1787811278.7438445, "elapsed_hours": 0.7181060858567556, "event": "step", "step": 11180, "loss": 4.34604166507721, "lr": 9.354019895585775e-06} |
| {"timestamp": 1787811282.6477985, "elapsed_hours": 0.7191905174652735, "event": "step", "step": 11200, "loss": 4.351672601699829, "lr": 9.309458541524556e-06} |
| {"timestamp": 1787811286.6602416, "elapsed_hours": 0.7203050849835078, "event": "step", "step": 11220, "loss": 4.326960000991821, "lr": 9.265006294320845e-06} |
| {"timestamp": 1787811290.2921631, "elapsed_hours": 0.7213139520088832, "event": "step", "step": 11240, "loss": 4.380340552330017, "lr": 9.220663828478091e-06} |
| {"timestamp": 1787811292.7350152, "elapsed_hours": 0.7219925221469667, "event": "sample", "step": 11250, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n return n * (fibonacci(n-1)) + 1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811300.7097795, "elapsed_hours": 0.7242077345980539, "event": "step", "step": 11260, "loss": 4.387456383705139, "lr": 9.17643181683395e-06} |
| {"timestamp": 1787811304.6959522, "elapsed_hours": 0.7253150047196282, "event": "step", "step": 11280, "loss": 4.3688713598251345, "lr": 9.132310930550096e-06} |
| {"timestamp": 1787811308.5024028, "elapsed_hours": 0.7263723519775602, "event": "step", "step": 11300, "loss": 4.4133818817138675, "lr": 9.088301839102014e-06} |
| {"timestamp": 1787811312.3737752, "elapsed_hours": 0.7274477334154976, "event": "step", "step": 11320, "loss": 4.372514400482178, "lr": 9.044405210268856e-06} |
| {"timestamp": 1787811316.2586122, "elapsed_hours": 0.7285268545813031, "event": "step", "step": 11340, "loss": 4.388348646163941, "lr": 9.0006217101233e-06} |
| {"timestamp": 1787811320.1349845, "elapsed_hours": 0.7296036246087816, "event": "step", "step": 11360, "loss": 4.378303990364075, "lr": 8.956952003021454e-06} |
| {"timestamp": 1787811324.4655118, "elapsed_hours": 0.7308065489927927, "event": "step", "step": 11380, "loss": 4.38601185798645, "lr": 8.913396751592764e-06} |
| {"timestamp": 1787811328.4958422, "elapsed_hours": 0.7319260850879881, "event": "step", "step": 11400, "loss": 4.404137411117554, "lr": 8.869956616729964e-06} |
| {"timestamp": 1787811334.1939993, "elapsed_hours": 0.7335089065631231, "event": "sample", "step": 11400, "prompt": "What is the time complexity of binary search and why?", "sample": "You can use binary search to solve the problem. To accomplish this, you will need to implement a function that takes two parameters: \"l1\" and \"l2\". The function should return the time complexity of binary search. Here's an explanation of how this can be done:\n\n1. Initialize a variable \"time\" to 0, which will store the time for each query. This variable should only hold floats in memory (0-based indexing).\n2. Iterate through all the queries, starting from 0 and performing a binary search on them ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811338.0855286, "elapsed_hours": 0.7345898869302537, "event": "step", "step": 11420, "loss": 4.369564518928528, "lr": 8.826632257579049e-06} |
| {"timestamp": 1787811341.873328, "elapsed_hours": 0.7356420534849167, "event": "step", "step": 11440, "loss": 4.356562757492066, "lr": 8.783424331529274e-06} |
| {"timestamp": 1787811345.6547933, "elapsed_hours": 0.7366924603780111, "event": "step", "step": 11460, "loss": 4.348696541786194, "lr": 8.740333494203174e-06} |
| {"timestamp": 1787811349.7396572, "elapsed_hours": 0.7378271447949939, "event": "step", "step": 11480, "loss": 4.37699342250824, "lr": 8.69736039944662e-06} |
| {"timestamp": 1787811353.8281245, "elapsed_hours": 0.7389628302388721, "event": "step", "step": 11500, "loss": 4.387350416183471, "lr": 8.654505699318899e-06} |
| {"timestamp": 1787811358.0088441, "elapsed_hours": 0.7401241413089964, "event": "step", "step": 11520, "loss": 4.3922997665405275, "lr": 8.611770044082819e-06} |
| {"timestamp": 1787811361.88141, "elapsed_hours": 0.7411998540163041, "event": "step", "step": 11540, "loss": 4.390883588790894, "lr": 8.569154082194834e-06} |
| {"timestamp": 1787811366.5876288, "elapsed_hours": 0.742507136993938, "event": "sample", "step": 11550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "To check if a string is a palindrome, you can use the following code:\n```python\ndef is_palindrome(string): # Check if string length is in reverse order and convert to lowercase\n str = string[::-1] \n\n # Get the length of the input string\n n = len(string) - 1 + int(str.search('.'))\n\n # Check if reversed string is lowercase (e.g., \"abc\")\n if n == str: \n return True\n\n return False\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811368.6755514, "elapsed_hours": 0.7430871154202355, "event": "step", "step": 11560, "loss": 4.341054935455322, "lr": 8.526658460295216e-06} |
| {"timestamp": 1787811372.5054643, "elapsed_hours": 0.7441509801149369, "event": "step", "step": 11580, "loss": 4.392649412155151, "lr": 8.48428382319824e-06} |
| {"timestamp": 1787811376.4372206, "elapsed_hours": 0.7452431348297331, "event": "step", "step": 11600, "loss": 4.373018908500671, "lr": 8.442030813882395e-06} |
| {"timestamp": 1787811380.1777742, "elapsed_hours": 0.7462821773687999, "event": "step", "step": 11620, "loss": 4.369864048957825, "lr": 8.399900073480632e-06} |
| {"timestamp": 1787811384.2746313, "elapsed_hours": 0.7474201933542888, "event": "step", "step": 11640, "loss": 4.387399382591248, "lr": 8.357892241270637e-06} |
| {"timestamp": 1787811388.1185334, "elapsed_hours": 0.748487943874465, "event": "step", "step": 11660, "loss": 4.340483069419861, "lr": 8.316007954665123e-06} |
| {"timestamp": 1787811391.8413973, "elapsed_hours": 0.749522072672844, "event": "step", "step": 11680, "loss": 4.34285530090332, "lr": 8.27424784920217e-06} |
| {"timestamp": 1787811395.536082, "elapsed_hours": 0.7505483739905887, "event": "step", "step": 11700, "loss": 4.432927350997925, "lr": 8.23261255853557e-06} |
| {"timestamp": 1787811399.3828363, "elapsed_hours": 0.7516169167889489, "event": "sample", "step": 11700, "prompt": "Explain the difference between a stack and a queue.", "sample": "The difference between a stack and an queue is that both functions call the same function at the time we have taken advantage of when trying to aggregate results into two sets. This).\n\nIn a queue, an element is calculated first (which can be used as the parent of this stack). In a queue with two elements and three children, each child has one value.\n\nIn an empty set or an array, the items are always added to the left of the top of the queue (which is in this case). This means each value is the s", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811403.0956502, "elapsed_hours": 0.7526482542355856, "event": "step", "step": 11720, "loss": 4.433955807685852, "lr": 8.19110271442522e-06} |
| {"timestamp": 1787811407.029655, "elapsed_hours": 0.7537410332096948, "event": "step", "step": 11740, "loss": 4.4062044811248775, "lr": 8.149718946727533e-06} |
| {"timestamp": 1787811411.56729, "elapsed_hours": 0.7550014872683419, "event": "step", "step": 11760, "loss": 4.379000906944275, "lr": 8.108461883385879e-06} |
| {"timestamp": 1787811415.2753248, "elapsed_hours": 0.7560314969884024, "event": "step", "step": 11780, "loss": 4.330032305717468, "lr": 8.067332150421062e-06} |
| {"timestamp": 1787811419.0486736, "elapsed_hours": 0.7570796494351493, "event": "step", "step": 11800, "loss": 4.370001916885376, "lr": 8.026330371921813e-06} |
| {"timestamp": 1787811422.8696449, "elapsed_hours": 0.7581410302718481, "event": "step", "step": 11820, "loss": 4.407141704559326, "lr": 7.985457170035328e-06} |
| {"timestamp": 1787811426.8840258, "elapsed_hours": 0.7592561362187068, "event": "step", "step": 11840, "loss": 4.4023991346359255, "lr": 7.944713164957828e-06} |
| {"timestamp": 1787811430.336159, "elapsed_hours": 0.7602150619692273, "event": "sample", "step": 11850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "def max_element(lst):\n \"\"\"Find the maximum element in a list.\n\n Returns:\n - ndarray(list)\n -- return max(numbers, k=0 to ndarray[-1])\n\n \"\"\"<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811432.1721797, "elapsed_hours": 0.7607250677214729, "event": "step", "step": 11860, "loss": 4.415131711959839, "lr": 7.90409897492514e-06} |
| {"timestamp": 1787811435.9053106, "elapsed_hours": 0.7617620486683315, "event": "step", "step": 11880, "loss": 4.377901763916015, "lr": 7.863615216203325e-06} |
| {"timestamp": 1787811439.6806054, "elapsed_hours": 0.7628107416629791, "event": "step", "step": 11900, "loss": 4.401000275611877, "lr": 7.823262503079315e-06} |
| {"timestamp": 1787811443.522611, "elapsed_hours": 0.7638779653443231, "event": "step", "step": 11920, "loss": 4.387313632965088, "lr": 7.783041447851609e-06} |
| {"timestamp": 1787811447.8988385, "elapsed_hours": 0.7650935841931237, "event": "step", "step": 11940, "loss": 4.353269119262695, "lr": 7.742952660820972e-06} |
| {"timestamp": 1787811452.1285067, "elapsed_hours": 0.7662684919436773, "event": "step", "step": 11960, "loss": 4.313549246788025, "lr": 7.702996750281173e-06} |
| {"timestamp": 1787811456.0579197, "elapsed_hours": 0.7673599957095252, "event": "step", "step": 11980, "loss": 4.384074373245239, "lr": 7.663174322509757e-06} |
| {"timestamp": 1787811460.0977452, "elapsed_hours": 0.7684821693102518, "event": "step", "step": 12000, "loss": 4.401123738288879, "lr": 7.623485981758852e-06} |
| {"timestamp": 1787811463.4515016, "elapsed_hours": 0.7694137683179644, "event": "sample", "step": 12000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that returns the nth Fibonacci number:\n```python\ndef fibonacci(n): \n if not isinstance(n, int) or n < 1: \n return 0\n\n fibonacci(n-1) = fibonacci(n-2) + fibonacci(n - 3)\n return fibonacci(n)-fibonacci(n+1)\n```\nThis function first checks if the input number is less than 1 and then returns 0. If not, it will return -fibonacci(n+1) because that's the nth Fibonacci number and it should never be used again.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811473.6575787, "elapsed_hours": 0.7722487899992201, "event": "step", "step": 12020, "loss": 4.385796298980713, "lr": 7.583932330245989e-06} |
| {"timestamp": 1787811477.4708104, "elapsed_hours": 0.773308020763927, "event": "step", "step": 12040, "loss": 4.3510357904434205, "lr": 7.5445139681449724e-06} |
| {"timestamp": 1787811481.3004105, "elapsed_hours": 0.7743717987669839, "event": "step", "step": 12060, "loss": 4.374203486442566, "lr": 7.505231493576771e-06} |
| {"timestamp": 1787811485.0698113, "elapsed_hours": 0.7754188544220395, "event": "step", "step": 12080, "loss": 4.3810629606246945, "lr": 7.46608550260044e-06} |
| {"timestamp": 1787811488.639954, "elapsed_hours": 0.776410560939047, "event": "step", "step": 12100, "loss": 4.404559774398804, "lr": 7.42707658920408e-06} |
| {"timestamp": 1787811492.5164175, "elapsed_hours": 0.7774873560004764, "event": "step", "step": 12120, "loss": 4.4056481885910035, "lr": 7.388205345295822e-06} |
| {"timestamp": 1787811496.680232, "elapsed_hours": 0.7786439713504579, "event": "step", "step": 12140, "loss": 4.35893759727478, "lr": 7.349472360694845e-06} |
| {"timestamp": 1787811504.116645, "elapsed_hours": 0.7807096415758132, "event": "sample", "step": 12150, "prompt": "What is the time complexity of binary search and why?", "sample": "A binary search is a sub-programmed version of the original problem. It strategy repeatedly selects an element from another project and then searches for it to find its maximum value in particular.\n\nThis is because each node of a binary search has exactly 2 nodes: one from the current project and another from the previous. Each node is used to find its maximum value in some other graph, such as a tree with an edge that describes the parent node of each program (e.g., a regular system). \n\nFor exa", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811506.001428, "elapsed_hours": 0.7812331924173567, "event": "step", "step": 12160, "loss": 4.401887626647949, "lr": 7.310878223122432e-06} |
| {"timestamp": 1787811509.8425756, "elapsed_hours": 0.7823001778125763, "event": "step", "step": 12180, "loss": 4.36631561756134, "lr": 7.272423518193042e-06} |
| {"timestamp": 1787811513.8764849, "elapsed_hours": 0.7834207082457013, "event": "step", "step": 12200, "loss": 4.386782202720642, "lr": 7.234108829405435e-06} |
| {"timestamp": 1787811517.812332, "elapsed_hours": 0.7845139990912543, "event": "step", "step": 12220, "loss": 4.358867077827454, "lr": 7.195934738133813e-06} |
| {"timestamp": 1787811521.7331357, "elapsed_hours": 0.7856031111213896, "event": "step", "step": 12240, "loss": 4.354554719924927, "lr": 7.157901823618992e-06} |
| {"timestamp": 1787811525.6246696, "elapsed_hours": 0.7866840927468406, "event": "step", "step": 12260, "loss": 4.3668567132949825, "lr": 7.120010662959629e-06} |
| {"timestamp": 1787811530.009968, "elapsed_hours": 0.7879022311502033, "event": "step", "step": 12280, "loss": 4.3828327226638795, "lr": 7.082261831103449e-06} |
| {"timestamp": 1787811533.7537959, "elapsed_hours": 0.7889421833886041, "event": "step", "step": 12300, "loss": 4.354800705909729, "lr": 7.044655900838529e-06} |
| {"timestamp": 1787811536.383901, "elapsed_hours": 0.7896727681159973, "event": "sample", "step": 12300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string:\n```python\ndef is_palindrome(s): \n # convert string to an array of the same length as s.\n arr = list(set(''.join([str(i, j) for i in range(len(s)+1))]))\n # check if the string is a palindrome (i.e., it should be palindromes)\n return arr == sorted(arr, reverse=True)\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811540.5254135, "elapsed_hours": 0.7908231881592008, "event": "step", "step": 12320, "loss": 4.384897198677063, "lr": 7.007193442784606e-06} |
| {"timestamp": 1787811544.5810864, "elapsed_hours": 0.791949764225218, "event": "step", "step": 12340, "loss": 4.380108590126038, "lr": 6.9698750253844194e-06} |
| {"timestamp": 1787811548.5942738, "elapsed_hours": 0.7930645383066601, "event": "step", "step": 12360, "loss": 4.383255858421325, "lr": 6.932701214895078e-06} |
| {"timestamp": 1787811552.3336143, "elapsed_hours": 0.7941032457351684, "event": "step", "step": 12380, "loss": 4.376245403289795, "lr": 6.895672575379483e-06} |
| {"timestamp": 1787811556.2664943, "elapsed_hours": 0.7951957107914819, "event": "step", "step": 12400, "loss": 4.392659287452698, "lr": 6.858789668697757e-06} |
| {"timestamp": 1787811560.15869, "elapsed_hours": 0.7962768761979209, "event": "step", "step": 12420, "loss": 4.38863434791565, "lr": 6.8220530544987165e-06} |
| {"timestamp": 1787811564.2825882, "elapsed_hours": 0.797422403494517, "event": "step", "step": 12440, "loss": 4.363587083816529, "lr": 6.785463290211391e-06} |
| {"timestamp": 1787811569.932186, "elapsed_hours": 0.7989917362398572, "event": "sample", "step": 12450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two types of words that can be used to perform operations on data.\nArrays, as the name suggests, are usually made up of two parts: stack and queue. \nThe first part involves a node (the 3rd piece) with the value \"3\". The second is created by adding an element to each of these two parts.\nA queue, when combined, adds elements from both the top and back end of a stack. This is because \"stack\" can be used to store items or data at once. The last part, when combined with the nu", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811571.8442564, "elapsed_hours": 0.7995228670040766, "event": "step", "step": 12460, "loss": 4.366133337020874, "lr": 6.7490209310365544e-06} |
| {"timestamp": 1787811575.5104802, "elapsed_hours": 0.8005412623617384, "event": "step", "step": 12480, "loss": 4.391087627410888, "lr": 6.7127265299383085e-06} |
| {"timestamp": 1787811579.4971538, "elapsed_hours": 0.801648671693272, "event": "step", "step": 12500, "loss": 4.349918055534363, "lr": 6.676580637635689e-06} |
| {"timestamp": 1787811583.2173004, "elapsed_hours": 0.8026820456981659, "event": "step", "step": 12520, "loss": 4.397236328125, "lr": 6.6405838025943045e-06} |
| {"timestamp": 1787811587.254857, "elapsed_hours": 0.8038035892777973, "event": "step", "step": 12540, "loss": 4.327898516654968, "lr": 6.604736571018024e-06} |
| {"timestamp": 1787811591.068009, "elapsed_hours": 0.8048627981874678, "event": "step", "step": 12560, "loss": 4.424572153091431, "lr": 6.569039486840683e-06} |
| {"timestamp": 1787811594.830526, "elapsed_hours": 0.8059079419242011, "event": "step", "step": 12580, "loss": 4.37031243801117, "lr": 6.533493091717831e-06} |
| {"timestamp": 1787811598.9547327, "elapsed_hours": 0.8070535547203488, "event": "step", "step": 12600, "loss": 4.385384540557862, "lr": 6.4980979250185065e-06} |
| {"timestamp": 1787811600.3497102, "elapsed_hours": 0.8074410485559039, "event": "sample", "step": 12600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "You can use the `max()` function to find the maximum element in a list. Here's an example:\n\n```python\ndef max(lst): # if the array is empty, return -1 (as it will always be 0)\n\n return max(0)\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811604.228105, "elapsed_hours": 0.8085183803240458, "event": "step", "step": 12620, "loss": 4.346694631576538, "lr": 6.4628545238170665e-06} |
| {"timestamp": 1787811607.8778863, "elapsed_hours": 0.8095322085751427, "event": "step", "step": 12640, "loss": 4.391603813171387, "lr": 6.427763422885026e-06} |
| {"timestamp": 1787811611.7323847, "elapsed_hours": 0.8106029025713603, "event": "step", "step": 12660, "loss": 4.44935462474823, "lr": 6.392825154682949e-06} |
| {"timestamp": 1787811615.5541599, "elapsed_hours": 0.8116645066605674, "event": "step", "step": 12680, "loss": 4.42076696395874, "lr": 6.358040249352365e-06} |
| {"timestamp": 1787811619.511193, "elapsed_hours": 0.812763682603836, "event": "step", "step": 12700, "loss": 4.419691343307495, "lr": 6.3234092347077245e-06} |
| {"timestamp": 1787811623.1491003, "elapsed_hours": 0.8137742125325733, "event": "step", "step": 12720, "loss": 4.3924746799469, "lr": 6.288932636228399e-06} |
| {"timestamp": 1787811627.0782914, "elapsed_hours": 0.814865654375818, "event": "step", "step": 12740, "loss": 4.351917161941528, "lr": 6.254610977050696e-06} |
| {"timestamp": 1787811632.279909, "elapsed_hours": 0.8163105481200748, "event": "sample", "step": 12750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "You can use the following function:\n\n```python\ndef fibonacci(n): \n if n<2: # factorial of 2 is in Fibonacci series, so we need to return the first; \n return fibonacci(n-1) + fibonacci(n-2) \n\n else:\n return n * Fibonacci(n - 1) + fibonacci(n-2)\n\n\n# Driver code to test the function\nprint(fibonacci(5)) # Output: 5<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811640.3552158, "elapsed_hours": 0.8185536890559726, "event": "step", "step": 12760, "loss": 4.3929344654083256, "lr": 6.220444777959927e-06} |
| {"timestamp": 1787811644.2764647, "elapsed_hours": 0.8196429247988595, "event": "step", "step": 12780, "loss": 4.417565770149231, "lr": 6.1864345573825045e-06} |
| {"timestamp": 1787811648.2212133, "elapsed_hours": 0.8207386884424421, "event": "step", "step": 12800, "loss": 4.318062963485718, "lr": 6.15258083137808e-06} |
| {"timestamp": 1787811651.9812288, "elapsed_hours": 0.8217831369903352, "event": "step", "step": 12820, "loss": 4.355086932182312, "lr": 6.118884113631699e-06} |
| {"timestamp": 1787811655.9660265, "elapsed_hours": 0.8228900251785914, "event": "step", "step": 12840, "loss": 4.31297287940979, "lr": 6.085344915446028e-06} |
| {"timestamp": 1787811659.871279, "elapsed_hours": 0.8239748176601198, "event": "step", "step": 12860, "loss": 4.377669415473938, "lr": 6.0519637457335745e-06} |
| {"timestamp": 1787811663.720018, "elapsed_hours": 0.8250439118676716, "event": "step", "step": 12880, "loss": 4.371508479118347, "lr": 6.018741111008983e-06} |
| {"timestamp": 1787811667.5230367, "elapsed_hours": 0.8261003058486515, "event": "step", "step": 12900, "loss": 4.347213912010193, "lr": 5.985677515381335e-06} |
| {"timestamp": 1787811669.139464, "elapsed_hours": 0.8265493133332994, "event": "sample", "step": 12900, "prompt": "What is the time complexity of binary search and why?", "sample": "The time complexity of binary search is O(n) for the time and space complexity is O(1). In this case, we need to have two bases: the target value (0 or 1), which represents how many operations are needed. The use of binary search is O(1) for sorting, whereas the time complexity is O(n).<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811673.1370587, "elapsed_hours": 0.8276597563425699, "event": "step", "step": 12920, "loss": 4.378670377731323, "lr": 5.952773460546514e-06} |
| {"timestamp": 1787811677.3675213, "elapsed_hours": 0.8288348850276736, "event": "step", "step": 12940, "loss": 4.3876926612854, "lr": 5.920029445779577e-06} |
| {"timestamp": 1787811681.5388396, "elapsed_hours": 0.829993584420946, "event": "step", "step": 12960, "loss": 4.382186741828918, "lr": 5.887445967927192e-06} |
| {"timestamp": 1787811685.4283164, "elapsed_hours": 0.831073994702763, "event": "step", "step": 12980, "loss": 4.436412992477417, "lr": 5.855023521400091e-06} |
| {"timestamp": 1787811689.2763119, "elapsed_hours": 0.8321428822146522, "event": "step", "step": 13000, "loss": 4.395068659782409, "lr": 5.822762598165573e-06} |
| {"timestamp": 1787811693.1502821, "elapsed_hours": 0.8332189851999283, "event": "step", "step": 13020, "loss": 4.377065439224243, "lr": 5.790663687740037e-06} |
| {"timestamp": 1787811696.9865, "elapsed_hours": 0.8342846013440026, "event": "step", "step": 13040, "loss": 4.376534476280212, "lr": 5.758727277181551e-06} |
| {"timestamp": 1787811699.46518, "elapsed_hours": 0.8349731233384874, "event": "sample", "step": 13050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n return s == str.punctuation()<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811701.4485724, "elapsed_hours": 0.8355240658256743, "event": "step", "step": 13060, "loss": 4.413706812858582, "lr": 5.726953851082467e-06} |
| {"timestamp": 1787811705.2485287, "elapsed_hours": 0.8365796092483733, "event": "step", "step": 13080, "loss": 4.384832792282104, "lr": 5.695343891562067e-06} |
| {"timestamp": 1787811709.0516603, "elapsed_hours": 0.8376360345549053, "event": "step", "step": 13100, "loss": 4.384546623229981, "lr": 5.663897878259244e-06} |
| {"timestamp": 1787811713.409842, "elapsed_hours": 0.8388466406530805, "event": "step", "step": 13120, "loss": 4.382465682029724, "lr": 5.632616288325227e-06} |
| {"timestamp": 1787811717.5530586, "elapsed_hours": 0.8399975340896183, "event": "step", "step": 13140, "loss": 4.380510988235474, "lr": 5.601499596416338e-06} |
| {"timestamp": 1787811721.529837, "elapsed_hours": 0.8411021947860717, "event": "step", "step": 13160, "loss": 4.396405487060547, "lr": 5.570548274686796e-06} |
| {"timestamp": 1787811725.4074376, "elapsed_hours": 0.8421793060832553, "event": "step", "step": 13180, "loss": 4.359521040916443, "lr": 5.539762792781546e-06} |
| {"timestamp": 1787811729.1339798, "elapsed_hours": 0.8432144567701552, "event": "step", "step": 13200, "loss": 4.399514427185059, "lr": 5.509143617829136e-06} |
| {"timestamp": 1787811730.4567192, "elapsed_hours": 0.8435818843046824, "event": "sample", "step": 13200, "prompt": "Explain the difference between a stack and a queue.", "sample": "In an array, a stack is commonly called a queue (or \"queue\") because it's the same as a single node or tree. This means that if you're doing this, then your stack is somewhere in between nodes (or blocks) which are both not the same node or tree.<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811734.634447, "elapsed_hours": 0.844742364221149, "event": "step", "step": 13220, "loss": 4.386870670318603, "lr": 5.478691214434625e-06} |
| {"timestamp": 1787811738.546219, "elapsed_hours": 0.8458289676242404, "event": "step", "step": 13240, "loss": 4.410790400505066, "lr": 5.448406044672541e-06} |
| {"timestamp": 1787811742.634498, "elapsed_hours": 0.8469646006160312, "event": "step", "step": 13260, "loss": 4.335569877624511, "lr": 5.418288568079864e-06} |
| {"timestamp": 1787811746.5715463, "elapsed_hours": 0.8480582251813676, "event": "step", "step": 13280, "loss": 4.323207945823669, "lr": 5.3883392416490535e-06} |
| {"timestamp": 1787811750.3654406, "elapsed_hours": 0.8491120847728517, "event": "step", "step": 13300, "loss": 4.404362354278565, "lr": 5.358558519821113e-06} |
| {"timestamp": 1787811754.2006328, "elapsed_hours": 0.8501774159404967, "event": "step", "step": 13320, "loss": 4.399614429473877, "lr": 5.328946854478702e-06} |
| {"timestamp": 1787811758.27718, "elapsed_hours": 0.8513097902139027, "event": "step", "step": 13340, "loss": 4.356433334350586, "lr": 5.299504694939267e-06} |
| {"timestamp": 1787811766.4367347, "elapsed_hours": 0.853576333059205, "event": "sample", "step": 13350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an array.\n\n```python \ndef max_element(arr):\n if len(arr) <= 1:\n return \"The length of the list is greater than or equal to 1.\"\n\n max_element = 0\n for i in range(1, len(arr)):\n if arr[i] > max_element:\n max_element = i\n\n return max(max_element)\n```\nHere's a code snippet to simulate this function:\n\n```python\ndef find_maximum_elements(lst): # for each element in the list \n\n max_element = 0\n for i", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811768.5149565, "elapsed_hours": 0.8541536168919669, "event": "step", "step": 13360, "loss": 4.318953561782837, "lr": 5.270232487948237e-06} |
| {"timestamp": 1787811772.3363929, "elapsed_hours": 0.8552151270045174, "event": "step", "step": 13380, "loss": 4.379293475151062, "lr": 5.241130677672232e-06} |
| {"timestamp": 1787811776.0998087, "elapsed_hours": 0.8562605202198028, "event": "step", "step": 13400, "loss": 4.382684998512268, "lr": 5.2121997056923325e-06} |
| {"timestamp": 1787811780.0068812, "elapsed_hours": 0.8573458182149464, "event": "step", "step": 13420, "loss": 4.341616897583008, "lr": 5.183440010997379e-06} |
| {"timestamp": 1787811784.1741872, "elapsed_hours": 0.8585034033324983, "event": "step", "step": 13440, "loss": 4.381459379196167, "lr": 5.154852029977305e-06} |
| {"timestamp": 1787811787.9379952, "elapsed_hours": 0.8595489054256016, "event": "step", "step": 13460, "loss": 4.3919979858398435, "lr": 5.126436196416518e-06} |
| {"timestamp": 1787811791.6872754, "elapsed_hours": 0.860590372218026, "event": "step", "step": 13480, "loss": 4.397897453308105, "lr": 5.098192941487318e-06} |
| {"timestamp": 1787811795.5369298, "elapsed_hours": 0.8616597205400467, "event": "step", "step": 13500, "loss": 4.4054770135879515, "lr": 5.0701226937433544e-06} |
| {"timestamp": 1787811797.7583926, "elapsed_hours": 0.8622767935858833, "event": "sample", "step": 13500, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that returns the nth Fibonacci number:\n```python\ndef f(n): # Generate Fibonacci numbers from 1 to n in range from 0 to 100 \n if (n < 1 or n > 100): # Calculate Fibonacci numbers\n return fib(f(\"1\", \"0\")) + fib(n)\n\n\n# Test the function with an example **Output:** 4<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811808.0644677, "elapsed_hours": 0.8651395922899247, "event": "step", "step": 13520, "loss": 4.381969585418701, "lr": 5.042225879113128e-06} |
| {"timestamp": 1787811812.4106674, "elapsed_hours": 0.8663468700647354, "event": "step", "step": 13540, "loss": 4.38599319934845, "lr": 5.0145029208935186e-06} |
| {"timestamp": 1787811816.353563, "elapsed_hours": 0.8674421186579598, "event": "step", "step": 13560, "loss": 4.387084450721741, "lr": 4.986954239743369e-06} |
| {"timestamp": 1787811820.0825298, "elapsed_hours": 0.8684779428111182, "event": "step", "step": 13580, "loss": 4.400082416534424, "lr": 4.959580253677103e-06} |
| {"timestamp": 1787811824.1664803, "elapsed_hours": 0.8696123737096787, "event": "step", "step": 13600, "loss": 4.3535866451263425, "lr": 4.932381378058375e-06} |
| {"timestamp": 1787811828.1304767, "elapsed_hours": 0.8707134835587608, "event": "step", "step": 13620, "loss": 4.334462056159973, "lr": 4.905358025593779e-06} |
| {"timestamp": 1787811832.1348839, "elapsed_hours": 0.8718258190817303, "event": "step", "step": 13640, "loss": 4.364592065811157, "lr": 4.8785106063265715e-06} |
| {"timestamp": 1787811840.8888793, "elapsed_hours": 0.8742574843433168, "event": "sample", "step": 13650, "prompt": "What is the time complexity of binary search and why?", "sample": "The time complexity of binary search is O(n), where n is the number of elements in an array. In this case, we are asking for a function that would return an object from another list or by converting it to integer and returning the current number.\n\nHere is how you could do this: \n```python\ndef binary_search(arr, n):\n if len(arr) == 0 or not arr[0]: return \"Error: Array is empty\"\n\n min_length = 1\n for i in range(1, len(arr)):\n if arr[i] > min_length: return \"Error: Array is empty\"\n", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811842.7509308, "elapsed_hours": 0.8747747209337022, "event": "step", "step": 13660, "loss": 4.373818130493164, "lr": 4.851839527630463e-06} |
| {"timestamp": 1787811846.684213, "elapsed_hours": 0.8758672993712955, "event": "step", "step": 13680, "loss": 4.364566011428833, "lr": 4.825345194203434e-06} |
| {"timestamp": 1787811850.7259886, "elapsed_hours": 0.8769900146457884, "event": "step", "step": 13700, "loss": 4.343917198181153, "lr": 4.799028008061585e-06} |
| {"timestamp": 1787811854.2465544, "elapsed_hours": 0.8779679496420755, "event": "step", "step": 13720, "loss": 4.4255806350708005, "lr": 4.772888368533048e-06} |
| {"timestamp": 1787811858.2865307, "elapsed_hours": 0.8790901652971903, "event": "step", "step": 13740, "loss": 4.402094287872314, "lr": 4.74692667225192e-06} |
| {"timestamp": 1787811862.3541834, "elapsed_hours": 0.8802200688918431, "event": "step", "step": 13760, "loss": 4.357516164779663, "lr": 4.721143313152249e-06} |
| {"timestamp": 1787811866.205967, "elapsed_hours": 0.8812900086906221, "event": "step", "step": 13780, "loss": 4.423383922576904, "lr": 4.695538682462054e-06} |
| {"timestamp": 1787811870.0788321, "elapsed_hours": 0.8823658045795228, "event": "step", "step": 13800, "loss": 4.417260475158692, "lr": 4.670113168697386e-06} |
| {"timestamp": 1787811878.807594, "elapsed_hours": 0.8847904607322481, "event": "sample", "step": 13800, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function to check if a string, palindrome and empty_arr are palindromes:\n```python\ndef isPalindrome(string):\n return str(str(random.choice(\"abc\", \"abc\"))[::-1]) in string\n\ndef palindrome_concatenate(string):\n reversed = \"\"\n for i in range(len(string) - 1, 0, -1):\n if string[i] == \"\" or not str.isalpha():\n reversed += string + 'a' if i % 2 != 0 else string[i:]\n return reverse(reversed)\n\ndef isPalindrome_reverse(string):\n reversed = \"\"\n for i in range(len(string)-1, ", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811882.6109073, "elapsed_hours": 0.8858469367027283, "event": "step", "step": 13820, "loss": 4.3884905290603635, "lr": 4.644867157656443e-06} |
| {"timestamp": 1787811886.5210564, "elapsed_hours": 0.8869330892297956, "event": "step", "step": 13840, "loss": 4.380256004333496, "lr": 4.6198010324137025e-06} |
| {"timestamp": 1787811890.684202, "elapsed_hours": 0.8880895186132854, "event": "step", "step": 13860, "loss": 4.384010887145996, "lr": 4.594915173314117e-06} |
| {"timestamp": 1787811894.6134465, "elapsed_hours": 0.8891809752914641, "event": "step", "step": 13880, "loss": 4.37028293132782, "lr": 4.5702099579673424e-06} |
| {"timestamp": 1787811898.3202503, "elapsed_hours": 0.8902106430795458, "event": "step", "step": 13900, "loss": 4.363791608810425, "lr": 4.545685761242008e-06} |
| {"timestamp": 1787811902.3684459, "elapsed_hours": 0.8913351418574651, "event": "step", "step": 13920, "loss": 4.383414454460144, "lr": 4.521342955260025e-06} |
| {"timestamp": 1787811906.2470057, "elapsed_hours": 0.8924125195211834, "event": "step", "step": 13940, "loss": 4.410268607139588, "lr": 4.497181909390945e-06} |
| {"timestamp": 1787811910.8950398, "elapsed_hours": 0.8937036400371128, "event": "sample", "step": 13950, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two different types of elements. They all have the same size, meaning that they do not need to be allocated individually in order for them to work together properly and with each other. A queue is a collection of elements, where the original items are shared among all items in an array that have been allocated to it. The inner stack also has public keys and a private key, which can refer to the unique elements available for one item in an array (for example `i`).\nEach ele", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811912.7423143, "elapsed_hours": 0.8942167719205221, "event": "step", "step": 13960, "loss": 4.3628188991546635, "lr": 4.473202990246349e-06} |
| {"timestamp": 1787811916.6661983, "elapsed_hours": 0.8953067396084468, "event": "step", "step": 13980, "loss": 4.364232454299927, "lr": 4.449406561674293e-06} |
| {"timestamp": 1787811920.4027557, "elapsed_hours": 0.8963446723090278, "event": "step", "step": 14000, "loss": 4.373474321365356, "lr": 4.425792984753778e-06} |
| {"timestamp": 1787811924.349885, "elapsed_hours": 0.8974410970343484, "event": "step", "step": 14020, "loss": 4.3625030612945555, "lr": 4.402362617789278e-06} |
| {"timestamp": 1787811928.2857037, "elapsed_hours": 0.8985343800650702, "event": "step", "step": 14040, "loss": 4.352534031867981, "lr": 4.379115816305302e-06} |
| {"timestamp": 1787811932.4256294, "elapsed_hours": 0.8996843595637215, "event": "step", "step": 14060, "loss": 4.371828103065491, "lr": 4.356052933040994e-06} |
| {"timestamp": 1787811936.498985, "elapsed_hours": 0.9008158471186956, "event": "step", "step": 14080, "loss": 4.358286285400391, "lr": 4.333174317944788e-06} |
| {"timestamp": 1787811940.3445613, "elapsed_hours": 0.9018840626213286, "event": "step", "step": 14100, "loss": 4.415607743263244, "lr": 4.310480318169096e-06} |
| {"timestamp": 1787811946.229043, "elapsed_hours": 0.9035186408625708, "event": "sample", "step": 14100, "prompt": "Write a Python function to find the maximum element in a list.", "sample": " Here's a Python function to find the maximum element in an array with elements from a list. This is very simple and may require more steps depending on your specific problem and requirements or use of the function's built-in functions to search for items in an array.\n\n```python\ndef find_max(arr):\n max = arr[0]\n\n for i in range(1, len(arr) + 1):\n if arr[i] < max:\n max = arr[i]\n\n return max\n```\nThis function iterates over the list, checking if each element is found in a", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811950.3697927, "elapsed_hours": 0.9046688493092855, "event": "step", "step": 14120, "loss": 4.423531579971313, "lr": 4.2879712780650365e-06} |
| {"timestamp": 1787811954.0812013, "elapsed_hours": 0.9056997961468167, "event": "step", "step": 14140, "loss": 4.37378143787384, "lr": 4.265647539177211e-06} |
| {"timestamp": 1787811957.8811097, "elapsed_hours": 0.9067553260591295, "event": "step", "step": 14160, "loss": 4.372749814987182, "lr": 4.2435094402385275e-06} |
| {"timestamp": 1787811961.815575, "elapsed_hours": 0.907848233183225, "event": "step", "step": 14180, "loss": 4.368012661933899, "lr": 4.221557317165052e-06} |
| {"timestamp": 1787811965.6226933, "elapsed_hours": 0.9089057660102844, "event": "step", "step": 14200, "loss": 4.406164608001709, "lr": 4.1997915030509145e-06} |
| {"timestamp": 1787811969.5462654, "elapsed_hours": 0.909995647072792, "event": "step", "step": 14220, "loss": 4.404484701156616, "lr": 4.178212328163259e-06} |
| {"timestamp": 1787811973.409038, "elapsed_hours": 0.9110686395565669, "event": "step", "step": 14240, "loss": 4.378333168029785, "lr": 4.156820119937227e-06} |
| {"timestamp": 1787811977.560994, "elapsed_hours": 0.9122219606902864, "event": "sample", "step": 14250, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here is a Python function that returns the nth Fibonacci number:\n```python\ndef fib(n): \n if not isinstance(n, int) or n <= 1: return 0\n sum = 0\n while len(sum) < n and (x >= 2**n) * x <= n: return f\"{sum} is a fibonacci number!\"\n Fibonacci(x, n-1)<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787811985.4813828, "elapsed_hours": 0.9144220686621136, "event": "step", "step": 14260, "loss": 4.409807863235474, "lr": 4.135615202970991e-06} |
| {"timestamp": 1787811989.3411498, "elapsed_hours": 0.9154942261510425, "event": "step", "step": 14280, "loss": 4.37356427192688, "lr": 4.114597899020829e-06} |
| {"timestamp": 1787811993.3616343, "elapsed_hours": 0.9166110274526807, "event": "step", "step": 14300, "loss": 4.399393076896668, "lr": 4.093768526996239e-06} |
| {"timestamp": 1787811997.2482197, "elapsed_hours": 0.9176906345950233, "event": "step", "step": 14320, "loss": 4.337461476325989, "lr": 4.0731274029551085e-06} |
| {"timestamp": 1787812001.4684017, "elapsed_hours": 0.9188629072242313, "event": "step", "step": 14340, "loss": 4.359061822891236, "lr": 4.052674840098911e-06} |
| {"timestamp": 1787812005.59906, "elapsed_hours": 0.92001031226582, "event": "step", "step": 14360, "loss": 4.365929260253906, "lr": 4.032411148767955e-06} |
| {"timestamp": 1787812009.3807197, "elapsed_hours": 0.921060773399141, "event": "step", "step": 14380, "loss": 4.359287276268005, "lr": 4.012336636436678e-06} |
| {"timestamp": 1787812013.6754775, "elapsed_hours": 0.922253761821323, "event": "step", "step": 14400, "loss": 4.4274086666107175, "lr": 3.992451607708976e-06} |
| {"timestamp": 1787812022.5173502, "elapsed_hours": 0.924709837436676, "event": "sample", "step": 14400, "prompt": "What is the time complexity of binary search and why?", "sample": "To find the time complexity of binary search and why, let's break down each part step by step:\n\n1. Initialize variables for the current index on right side (0-based) and left side (n-by-all).\n2. Iterate through each character of the binary search bar. For example, if we have 10 characters, we will iterate from 1 to n-1 and check if there are at least 2 spaces between each character. If the position is less than or equal to 0, we will increment a counter variable by 1 and add it to our current in", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812026.587282, "elapsed_hours": 0.9258403740988838, "event": "step", "step": 14420, "loss": 4.3318885326385494, "lr": 3.9727563643135885e-06} |
| {"timestamp": 1787812030.230765, "elapsed_hours": 0.9268524526225196, "event": "step", "step": 14440, "loss": 4.318542222976685, "lr": 3.953251205099512e-06} |
| {"timestamp": 1787812034.0878954, "elapsed_hours": 0.9279238776365916, "event": "step", "step": 14460, "loss": 4.349862170219422, "lr": 3.933936426031474e-06} |
| {"timestamp": 1787812038.2965667, "elapsed_hours": 0.9290929531388813, "event": "step", "step": 14480, "loss": 4.393077793121338, "lr": 3.914812320185434e-06} |
| {"timestamp": 1787812042.163823, "elapsed_hours": 0.9301671909623676, "event": "step", "step": 14500, "loss": 4.428954114913941, "lr": 3.8958791777441434e-06} |
| {"timestamp": 1787812046.0881455, "elapsed_hours": 0.9312572805749045, "event": "step", "step": 14520, "loss": 4.341977744102478, "lr": 3.8771372859927355e-06} |
| {"timestamp": 1787812049.9468584, "elapsed_hours": 0.9323291452725728, "event": "step", "step": 14540, "loss": 4.373841438293457, "lr": 3.858586929314371e-06} |
| {"timestamp": 1787812060.7080848, "elapsed_hours": 0.9353183747662438, "event": "sample", "step": 14550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "Here is a Python function that checks if a string can be palindrome. Here it is:\n```python\ndef is_palindromic(string):\n # base cases\n if len(str(string)) <= 3:\n return False\n\n # check for palindromic string length, if not is_palindrome(string):\n poly = \"\"\n # check for palindromic string length, if not is_palindrome(string):\n while poly.isdigit():\n\n # check to make sure it's not an empty string, replace with \".\"\n if len(string) == 3:\n return False\n\n # chec", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812062.6662447, "elapsed_hours": 0.935862308078342, "event": "step", "step": 14560, "loss": 4.3659997034072875, "lr": 3.840228389185926e-06} |
| {"timestamp": 1787812066.8540359, "elapsed_hours": 0.9370255835851033, "event": "step", "step": 14580, "loss": 4.363428916931152, "lr": 3.822061944173711e-06} |
| {"timestamp": 1787812070.5981922, "elapsed_hours": 0.9380656267537011, "event": "step", "step": 14600, "loss": 4.316576881408691, "lr": 3.8040878699292507e-06} |
| {"timestamp": 1787812074.446527, "elapsed_hours": 0.9391346087058385, "event": "step", "step": 14620, "loss": 4.328119678497314, "lr": 3.7863064391851053e-06} |
| {"timestamp": 1787812078.3365378, "elapsed_hours": 0.9402151672707664, "event": "step", "step": 14640, "loss": 4.369765405654907, "lr": 3.768717921750721e-06} |
| {"timestamp": 1787812082.295535, "elapsed_hours": 0.9413148886627621, "event": "step", "step": 14660, "loss": 4.409267597198486, "lr": 3.751322584508349e-06} |
| {"timestamp": 1787812086.3612163, "elapsed_hours": 0.9424442446231842, "event": "step", "step": 14680, "loss": 4.392995438575745, "lr": 3.7341206914089824e-06} |
| {"timestamp": 1787812090.3342159, "elapsed_hours": 0.9435478556818432, "event": "step", "step": 14700, "loss": 4.4451950788497925, "lr": 3.7171125034683598e-06} |
| {"timestamp": 1787812097.1742024, "elapsed_hours": 0.9454478518830405, "event": "sample", "step": 14700, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack and a queue are two separate elements in an array. These operations can be done using the stack data structure, which can include keys for each element of the array and values for a particular key. Here is how you may think about it:\n\n```python\n# A stack size can be of any length, but not necessarily the same as a queue size.\nstack_size = 8 * 4 # 4 items in the stack to store elements of this array\nqueue_width = True # Check if there is a queue width.\nqueue_height = False # Check if th", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812101.2174149, "elapsed_hours": 0.946570966442426, "event": "step", "step": 14720, "loss": 4.410566649436951, "lr": 3.7002982787630097e-06} |
| {"timestamp": 1787812105.157221, "elapsed_hours": 0.94766535712613, "event": "step", "step": 14740, "loss": 4.397726650238037, "lr": 3.683678272426319e-06} |
| {"timestamp": 1787812108.7608473, "elapsed_hours": 0.9486663644181358, "event": "step", "step": 14760, "loss": 4.3629614448547365, "lr": 3.6672527366446726e-06} |
| {"timestamp": 1787812112.7915843, "elapsed_hours": 0.9497860134972467, "event": "step", "step": 14780, "loss": 4.318976416587829, "lr": 3.651021920653628e-06} |
| {"timestamp": 1787812116.4518924, "elapsed_hours": 0.9508027658859889, "event": "step", "step": 14800, "loss": 4.344844989776611, "lr": 3.6349860707341256e-06} |
| {"timestamp": 1787812120.1142762, "elapsed_hours": 0.9518200945854187, "event": "step", "step": 14820, "loss": 4.330268115997314, "lr": 3.619145430208759e-06} |
| {"timestamp": 1787812124.196873, "elapsed_hours": 0.9529541491799884, "event": "step", "step": 14840, "loss": 4.384874210357666, "lr": 3.6035002394380804e-06} |
| {"timestamp": 1787812128.7193131, "elapsed_hours": 0.954210382633739, "event": "sample", "step": 14850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Calculate the maximum element in a list using Python.\n\n```python\ndef max_element(lst): \n # Initialize count to 1 and 0 as 0, so total number of elements is the sum of 1 + 2*counts = 3.\n max_element += lst[0] if len(lst) > 0 else -1\n\n # Sort the list in ascending order\n sorted_list = sorted([x for x, i in zip(*lst)) if len(i) > 0]\n\n return max_element\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812130.6709814, "elapsed_hours": 0.9547525126404233, "event": "step", "step": 14860, "loss": 4.4288927173614505, "lr": 3.5880507358169515e-06} |
| {"timestamp": 1787812134.8729632, "elapsed_hours": 0.955919729868571, "event": "step", "step": 14880, "loss": 4.388704743385315, "lr": 3.5727971537709436e-06} |
| {"timestamp": 1787812138.837755, "elapsed_hours": 0.9570210610495673, "event": "step", "step": 14900, "loss": 4.378789653778076, "lr": 3.5577397247527784e-06} |
| {"timestamp": 1787812142.9772098, "elapsed_hours": 0.9581709095504549, "event": "step", "step": 14920, "loss": 4.3674434518814085, "lr": 3.5428786772388235e-06} |
| {"timestamp": 1787812146.6231115, "elapsed_hours": 0.9591836599508922, "event": "step", "step": 14940, "loss": 4.374024486541748, "lr": 3.528214236725611e-06} |
| {"timestamp": 1787812150.688207, "elapsed_hours": 0.9603128530581793, "event": "step", "step": 14960, "loss": 4.423489847183228, "lr": 3.5137466257264302e-06} |
| {"timestamp": 1787812154.444763, "elapsed_hours": 0.9613563409778807, "event": "step", "step": 14980, "loss": 4.349572582244873, "lr": 3.499476063767945e-06} |
| {"timestamp": 1787812158.396536, "elapsed_hours": 0.9624540556139416, "event": "step", "step": 15000, "loss": 4.392710313796997, "lr": 3.485402767386861e-06} |
| {"timestamp": 1787812165.009293, "elapsed_hours": 0.9642909326818254, "event": "sample", "step": 15000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n if n <= 1: return 0\n\n n = int(input(\"Enter the first Fibonacci number: \"))\n fib1, fib2 = 0, 1\n\n while n <= 3:\n if(n % 2 == 0 or fib1 + fib2 == 0):\n print(\"Fibonacci number is equal to \") n\n\n elif(n > 1):\n fib1, fib2 = n - 2, 1\n\n return fib1\n\nn = int(input(\"Enter the first Fibonacci number: \"))\nfib2, fib3 = 0, 1\n\n while n <= 3:\n if(n % 2 == 0 or fib2 + Fib3 != fib1):\n\n print(\"Fibonacci number is equal to \")", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812175.000472, "elapsed_hours": 0.9670662601788839, "event": "step", "step": 15020, "loss": 4.434306583404541, "lr": 3.4715269501266453e-06} |
| {"timestamp": 1787812178.9426553, "elapsed_hours": 0.9681613110171424, "event": "step", "step": 15040, "loss": 4.385357527732849, "lr": 3.457848822534281e-06} |
| {"timestamp": 1787812182.691671, "elapsed_hours": 0.9692027042309443, "event": "step", "step": 15060, "loss": 4.417480583190918, "lr": 3.4443685921570755e-06} |
| {"timestamp": 1787812186.5969322, "elapsed_hours": 0.9702874990304311, "event": "step", "step": 15080, "loss": 4.414913516044617, "lr": 3.4310864635395115e-06} |
| {"timestamp": 1787812190.5747154, "elapsed_hours": 0.9713924387428495, "event": "step", "step": 15100, "loss": 4.385914964675903, "lr": 3.418002638220139e-06} |
| {"timestamp": 1787812194.569739, "elapsed_hours": 0.9725021677547031, "event": "step", "step": 15120, "loss": 4.385646567344666, "lr": 3.4051173147285247e-06} |
| {"timestamp": 1787812198.4757726, "elapsed_hours": 0.9735871769984563, "event": "step", "step": 15140, "loss": 4.362168488502502, "lr": 3.392430688582231e-06} |
| {"timestamp": 1787812209.1247852, "elapsed_hours": 0.9765452361106872, "event": "sample", "step": 15150, "prompt": "What is the time complexity of binary search and why?", "sample": "If your binary search is an algorithm, it's not a sufficient approximation. But there are some aspect of this algorithm:\n\n1. **Count**: The number of command line arguments is the sum of all string elements in binary search, which can't be twice as large due to odd numbers.\n2. **Record**: The timestamp of the data point is represented by a word in binary. If there are more than two strings, this means that it's not allowed to store all elements of the string that have been found or exactly 7 cha", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812211.0177164, "elapsed_hours": 0.9770710502068202, "event": "step", "step": 15160, "loss": 4.353103847503662, "lr": 3.3799429522838577e-06} |
| {"timestamp": 1787812215.0771153, "elapsed_hours": 0.978198661075698, "event": "step", "step": 15180, "loss": 4.324748196601868, "lr": 3.367654295318115e-06} |
| {"timestamp": 1787812219.0907404, "elapsed_hours": 0.9793135568168428, "event": "step", "step": 15200, "loss": 4.345127568244934, "lr": 3.3555649041489493e-06} |
| {"timestamp": 1787812223.1218615, "elapsed_hours": 0.98043331278695, "event": "step", "step": 15220, "loss": 4.388103947639466, "lr": 3.3436749622167162e-06} |
| {"timestamp": 1787812227.3202622, "elapsed_hours": 0.9815995352135765, "event": "step", "step": 15240, "loss": 4.362974843978882, "lr": 3.3319846499353956e-06} |
| {"timestamp": 1787812231.6651855, "elapsed_hours": 0.982806458208296, "event": "step", "step": 15260, "loss": 4.351990599632263, "lr": 3.3204941446898543e-06} |
| {"timestamp": 1787812235.298846, "elapsed_hours": 0.983815808362431, "event": "step", "step": 15280, "loss": 4.398059568405151, "lr": 3.3092036208331526e-06} |
| {"timestamp": 1787812238.9600031, "elapsed_hours": 0.984832796520657, "event": "step", "step": 15300, "loss": 4.396237578392029, "lr": 3.2981132496839036e-06} |
| {"timestamp": 1787812240.1745899, "elapsed_hours": 0.9851701817247602, "event": "sample", "step": 15300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s): \n s = ''.join((str(i), str(j)) for i, j in zip(*s.split()))\n return s == s[::-1]<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812243.909415, "elapsed_hours": 0.986207633084721, "event": "step", "step": 15320, "loss": 4.373368225097656, "lr": 3.2872231995236663e-06} |
| {"timestamp": 1787812247.6762848, "elapsed_hours": 0.9872539860010147, "event": "step", "step": 15340, "loss": 4.3884824895858765, "lr": 3.276533635594403e-06} |
| {"timestamp": 1787812252.0254467, "elapsed_hours": 0.9884620864523782, "event": "step", "step": 15360, "loss": 4.370223822593689, "lr": 3.266044720095957e-06} |
| {"timestamp": 1787812255.798939, "elapsed_hours": 0.9895102786355549, "event": "step", "step": 15380, "loss": 4.38319643497467, "lr": 3.2557566121836062e-06} |
| {"timestamp": 1787812259.4543989, "elapsed_hours": 0.9905256842904621, "event": "step", "step": 15400, "loss": 4.395382504463196, "lr": 3.245669467965639e-06} |
| {"timestamp": 1787812263.4684565, "elapsed_hours": 0.9916407003005345, "event": "step", "step": 15420, "loss": 4.397054142951966, "lr": 3.23578344050099e-06} |
| {"timestamp": 1787812267.2132573, "elapsed_hours": 0.9926809226142036, "event": "step", "step": 15440, "loss": 4.383050713539124, "lr": 3.226098679796913e-06} |
| {"timestamp": 1787812278.054711, "elapsed_hours": 0.9956924376885096, "event": "sample", "step": 15450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a collection of numbers that can be formed from the given list.\nWe are looking for elements between 1 to 10 (inclusive) in order to preserve stack stability and maintain said priority or progression. This is not possible here but we can define a new function that will also work with the list of numbers.\n\nHere's how you would approach this problem:\n\n```python\ndef stack_count(lst): # Initialize an empty list to store the elements of lst. This will hold all those numbers from 1 to 10\n# ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812280.0582514, "elapsed_hours": 0.9962489765882492, "event": "step", "step": 15460, "loss": 4.361065883636474, "lr": 3.2166153328067103e-06} |
| {"timestamp": 1787812283.9415607, "elapsed_hours": 0.9973276737663481, "event": "step", "step": 15480, "loss": 4.405068917274475, "lr": 3.2073335434274996e-06} |
| {"timestamp": 1787812287.753152, "elapsed_hours": 0.9983864490191142, "event": "step", "step": 15500, "loss": 4.395685596466064, "lr": 3.198253452498031e-06} |
| {"timestamp": 1787812291.5269785, "elapsed_hours": 0.9994347342517641, "event": "step", "step": 15520, "loss": 4.354837460517883, "lr": 3.1893751977965494e-06} |
| {"timestamp": 1787812295.8129828, "elapsed_hours": 1.0006252908706665, "event": "step", "step": 15540, "loss": 4.361797881126404, "lr": 3.1806989140387064e-06} |
| {"timestamp": 1787812299.719368, "elapsed_hours": 1.0017103979322646, "event": "step", "step": 15560, "loss": 4.380496501922607, "lr": 3.1722247328755125e-06} |
| {"timestamp": 1787812303.789383, "elapsed_hours": 1.0028409575753743, "event": "step", "step": 15580, "loss": 4.303705897331238, "lr": 3.163952782891342e-06} |
| {"timestamp": 1787812307.6487994, "elapsed_hours": 1.00391301771005, "event": "step", "step": 15600, "loss": 4.342229495048523, "lr": 3.155883189601984e-06} |
| {"timestamp": 1787812310.7524478, "elapsed_hours": 1.0047751422723135, "event": "sample", "step": 15600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "def max_element(lst):\n # Initialize a variable to store the maximum element, if it already exists.\n max_element = 0\n\n def find(self):\n # Method to find the maximum element in lst. Return -1 if it's not found, 0 otherwise.\n max_element = max(self)\n\n # Loop through the list and find maximum element if it exists. Return max value for all elements\n return min(max_element, 0)\n\n\n# Test the function with a sample list\nlst = [1, 2, 3] # Output: 8<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812315.351443, "elapsed_hours": 1.0060526410076354, "event": "step", "step": 15620, "loss": 4.386199898719788, "lr": 3.1480160754527283e-06} |
| {"timestamp": 1787812319.086729, "elapsed_hours": 1.0070902203851275, "event": "step", "step": 15640, "loss": 4.374593019485474, "lr": 3.140351559816524e-06} |
| {"timestamp": 1787812323.125496, "elapsed_hours": 1.0082121001349555, "event": "step", "step": 15660, "loss": 4.395045895576477, "lr": 3.13288975899215e-06} |
| {"timestamp": 1787812327.1246512, "elapsed_hours": 1.0093229766686758, "event": "step", "step": 15680, "loss": 4.402577695846557, "lr": 3.1256307862024636e-06} |
| {"timestamp": 1787812331.1341624, "elapsed_hours": 1.010436729722553, "event": "step", "step": 15700, "loss": 4.364640412330627, "lr": 3.118574751592675e-06} |
| {"timestamp": 1787812334.8683753, "elapsed_hours": 1.0114740110105938, "event": "step", "step": 15720, "loss": 4.327524275779724, "lr": 3.111721762228682e-06} |
| {"timestamp": 1787812338.5728817, "elapsed_hours": 1.0125030405653848, "event": "step", "step": 15740, "loss": 4.378249545097351, "lr": 3.1050719220954383e-06} |
| {"timestamp": 1787812347.0252917, "elapsed_hours": 1.014850932293468, "event": "sample", "step": 15750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "Here's a Python function that returns the nth Fibonacci number:\n```python\ndef fib(n): \n if (n <= 1 or n == 0) : return \"Input should be a natural number of integers.\"\n elif (n>1 and n<=3): return fib(2)\n\n if (n%2==0 or (n%%2==0 for i in range(1, int(math.sqrt(n)))): return fib(3)\n\n if (n%2==0 or n>=5 and n<=8): return \"Input should be a natural number of integers.\"\n elif (n%2==0 or n%3<=9): return fib(4)\n\n if (n%%2==1 and n>=5 and n!=-1 or -n<=6): return \"Input should be a natu", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812355.222783, "elapsed_hours": 1.017128013173739, "event": "step", "step": 15760, "loss": 4.389958281517028, "lr": 3.0986253320953813e-06} |
| {"timestamp": 1787812359.3773742, "elapsed_hours": 1.0182820662524965, "event": "step", "step": 15780, "loss": 4.427474002838135, "lr": 3.092382090046902e-06} |
| {"timestamp": 1787812363.216351, "elapsed_hours": 1.0193484487136204, "event": "step", "step": 15800, "loss": 4.399788522720337, "lr": 3.086342290682852e-06} |
| {"timestamp": 1787812367.5267212, "elapsed_hours": 1.0205457737048467, "event": "step", "step": 15820, "loss": 4.383056092262268, "lr": 3.080506025649118e-06} |
| {"timestamp": 1787812371.435713, "elapsed_hours": 1.021631604830424, "event": "step", "step": 15840, "loss": 4.353789982795715, "lr": 3.074873383503221e-06} |
| {"timestamp": 1787812375.2126622, "elapsed_hours": 1.0226807573768828, "event": "step", "step": 15860, "loss": 4.378995966911316, "lr": 3.0694444497129785e-06} |
| {"timestamp": 1787812378.9675484, "elapsed_hours": 1.0237237813737656, "event": "step", "step": 15880, "loss": 4.3517578506469725, "lr": 3.0642193066552047e-06} |
| {"timestamp": 1787812383.1315136, "elapsed_hours": 1.0248804383807713, "event": "step", "step": 15900, "loss": 4.338892021179199, "lr": 3.0591980336144655e-06} |
| {"timestamp": 1787812392.0168352, "elapsed_hours": 1.0273485832744174, "event": "sample", "step": 15900, "prompt": "What is the time complexity of binary search and why?", "sample": "To compare the time complexity of binary search and how it's done, let's break down the problem step by step:\n\n1. First, we need to define a function that checks if two strings are equal (using string manipulation and comparison). We can use the `is_equal` function from the `string` module to check for equality, so we'll need a custom error if not.\n2. We define two sets of strings (`count_strings` and `fields`. This set is the same as in the previous case) that are equal.\n3. We define two sets o", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812395.971729, "elapsed_hours": 1.0284471649593776, "event": "step", "step": 15920, "loss": 4.391074123382569, "lr": 3.0543807067818673e-06} |
| {"timestamp": 1787812399.9261286, "elapsed_hours": 1.0295456090900632, "event": "step", "step": 15940, "loss": 4.379883961677551, "lr": 3.0497673992539075e-06} |
| {"timestamp": 1787812403.61679, "elapsed_hours": 1.0305707930194008, "event": "step", "step": 15960, "loss": 4.402727756500244, "lr": 3.045358181031364e-06} |
| {"timestamp": 1787812407.3782969, "elapsed_hours": 1.0316156558858023, "event": "step", "step": 15980, "loss": 4.423127489089966, "lr": 3.0411531190182287e-06} |
| {"timestamp": 1787812411.435688, "elapsed_hours": 1.0327427091201147, "event": "step", "step": 16000, "loss": 4.37963562965393, "lr": 3.037152277020699e-06} |
| {"timestamp": 1787812415.116277, "elapsed_hours": 1.033765094810062, "event": "step", "step": 16020, "loss": 4.399728894233704, "lr": 3.0333557157462056e-06} |
| {"timestamp": 1787812419.2467403, "elapsed_hours": 1.034912445810106, "event": "step", "step": 16040, "loss": 4.368670358657837, "lr": 3.0297634928024937e-06} |
| {"timestamp": 1787812422.7574737, "elapsed_hours": 1.0358876495228873, "event": "sample", "step": 16050, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s): \n # Convert the string to a list of words \n words = s.split() \n\n if not is_palindrome(words): \n return False, \"No palindromes found in the string\"<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812424.6181903, "elapsed_hours": 1.0364045151074728, "event": "step", "step": 16060, "loss": 4.334433703422547, "lr": 3.0263756626967443e-06} |
| {"timestamp": 1787812428.7288406, "elapsed_hours": 1.0375463624795278, "event": "step", "step": 16080, "loss": 4.347184653282166, "lr": 3.0231922768347544e-06} |
| {"timestamp": 1787812432.7922556, "elapsed_hours": 1.0386750890811285, "event": "step", "step": 16100, "loss": 4.394015235900879, "lr": 3.020213383520147e-06} |
| {"timestamp": 1787812436.5991025, "elapsed_hours": 1.039732546408971, "event": "step", "step": 16120, "loss": 4.395589261054993, "lr": 3.017439027953649e-06} |
| {"timestamp": 1787812440.2966738, "elapsed_hours": 1.0407596494091882, "event": "step", "step": 16140, "loss": 4.342923331260681, "lr": 3.014869252232398e-06} |
| {"timestamp": 1787812444.2690303, "elapsed_hours": 1.041863081852595, "event": "step", "step": 16160, "loss": 4.361627759933472, "lr": 3.012504095349307e-06} |
| {"timestamp": 1787812448.0552104, "elapsed_hours": 1.042914798590872, "event": "step", "step": 16180, "loss": 4.400406856536865, "lr": 3.010343593192471e-06} |
| {"timestamp": 1787812451.9700103, "elapsed_hours": 1.0440022430155012, "event": "step", "step": 16200, "loss": 4.358881721496582, "lr": 3.0083877785446238e-06} |
| {"timestamp": 1787812460.5161428, "elapsed_hours": 1.0463761687278748, "event": "sample", "step": 16200, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a collection of integers that represents the elements in an array. The most popular ordering here could be:\n \n1. Stack A - This is a collection of integers that represents the elements in an array, and has many extra tags as well. The stack may contain several elements: \n\t\t* a (not necessarily empty) - A is an array of integers that represents the element at index i. It's not guaranteed to be in any order.\n\t* a (not necessarily empty) - A is an array of integers that represents the e", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812464.2261844, "elapsed_hours": 1.0474067356851366, "event": "step", "step": 16220, "loss": 4.392742567062378, "lr": 3.0066366810826362e-06} |
| {"timestamp": 1787812468.6325717, "elapsed_hours": 1.04863073223167, "event": "step", "step": 16240, "loss": 4.435473713874817, "lr": 3.005090327377075e-06} |
| {"timestamp": 1787812472.5856361, "elapsed_hours": 1.0497288056876923, "event": "step", "step": 16260, "loss": 4.396961488723755, "lr": 3.003748740891791e-06} |
| {"timestamp": 1787812476.6424549, "elapsed_hours": 1.050855699777603, "event": "step", "step": 16280, "loss": 4.392861800193787, "lr": 3.0026119419835635e-06} |
| {"timestamp": 1787812480.3244646, "elapsed_hours": 1.0518784802489811, "event": "step", "step": 16300, "loss": 4.38883533000946, "lr": 3.001679947901801e-06} |
| {"timestamp": 1787812484.0624454, "elapsed_hours": 1.0529168081945843, "event": "step", "step": 16320, "loss": 4.3697268009185795, "lr": 3.000952772788263e-06} |
| {"timestamp": 1787812487.8077953, "elapsed_hours": 1.0539571831623713, "event": "step", "step": 16340, "loss": 4.373255100250244, "lr": 3.0004304276768653e-06} |
| {"timestamp": 1787812492.3732977, "elapsed_hours": 1.055225378341145, "event": "sample", "step": 16350, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that does exactly what you described:\n```python\ndef find_max(lst): # Remove duplicates and convert the list to a set. \n l = set()\n\n for item in l:\n if not isinstance(item, list):\n l.add(item)\n\n return max(lst[:])<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false} |
| {"timestamp": 1787812494.2557738, "elapsed_hours": 1.0557482883665297, "event": "step", "step": 16360, "loss": 4.387860760688782, "lr": 3.0001129204934947e-06} |
| {"timestamp": 1787812498.1502545, "elapsed_hours": 1.0568300886948903, "event": "step", "step": 16380, "loss": 4.378083453178406, "lr": 3.0000002560558967e-06} |
| {"timestamp": 1787812502.2422986, "elapsed_hours": 1.0579667674832873, "event": "step", "step": 16400, "loss": 4.352343950271607, "lr": 3e-06} |
| {"timestamp": 1787812513.997683, "elapsed_hours": 1.0612321519851684, "event": "end", "step": 16410, "final_loss": 4.364421939849853, "total_hours": 1.0612321509255302, "stop_reason": "max_steps_or_time", "final_open_pct": 0.0, "final_close_pct": 0.0, "final_end_pct": 100.0, "final_reason_pct": 0.0} |
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