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metrics.jsonl

@@ -883,3 +883,49 @@
 {"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}
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+{"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}
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+{"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}
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+{"timestamp": 1787812411.435688, "elapsed_hours": 1.0327427091201147, "event": "step", "step": 16000, "loss": 4.37963562965393, "lr": 3.037152277020699e-06}
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+{"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}
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+{"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}
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+{"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}