Cormac Shannon
84b04d12e9
Pipeline works on MPS (~105 s per 300-step run), results are reproducible, and the divergence stop works. Not experimental evidence. Claude-Session: https://claude.ai/code/session_01S8KN7NuUCm8nXLmy6eDuVv
36 lines
2.5 KiB
JSON
36 lines
2.5 KiB
JSON
{"type": "eval", "iter": 0, "train_loss": 10.9101, "val_loss": 10.9119, "t": 5.5}
|
|
{"type": "train", "iter": 0, "loss": 10.9141, "ms": 4672.21, "t": 5.94}
|
|
{"type": "train", "iter": 10, "loss": 9.718, "ms": 287.96, "t": 8.8}
|
|
{"type": "train", "iter": 20, "loss": 7.8391, "ms": 284.7, "t": 11.65}
|
|
{"type": "train", "iter": 30, "loss": 5.8285, "ms": 284.87, "t": 14.5}
|
|
{"type": "train", "iter": 40, "loss": 5.1912, "ms": 290.48, "t": 17.38}
|
|
{"type": "train", "iter": 50, "loss": 4.7577, "ms": 288.18, "t": 20.27}
|
|
{"type": "train", "iter": 60, "loss": 4.4781, "ms": 285.07, "t": 23.13}
|
|
{"type": "train", "iter": 70, "loss": 4.312, "ms": 285.94, "t": 25.98}
|
|
{"type": "train", "iter": 80, "loss": 4.1143, "ms": 285.6, "t": 28.83}
|
|
{"type": "train", "iter": 90, "loss": 4.0708, "ms": 285.39, "t": 31.68}
|
|
{"type": "eval", "iter": 100, "train_loss": 3.9981, "val_loss": 4.0336, "t": 38.37}
|
|
{"type": "train", "iter": 100, "loss": 3.9857, "ms": 4657.44, "t": 38.93}
|
|
{"type": "train", "iter": 110, "loss": 3.9788, "ms": 286.19, "t": 41.8}
|
|
{"type": "train", "iter": 120, "loss": 3.7863, "ms": 284.34, "t": 44.65}
|
|
{"type": "train", "iter": 130, "loss": 3.8257, "ms": 286.31, "t": 47.5}
|
|
{"type": "train", "iter": 140, "loss": 3.8187, "ms": 286.03, "t": 50.36}
|
|
{"type": "train", "iter": 150, "loss": 3.7967, "ms": 284.16, "t": 53.21}
|
|
{"type": "train", "iter": 160, "loss": 3.657, "ms": 285.59, "t": 56.07}
|
|
{"type": "train", "iter": 170, "loss": 3.735, "ms": 283.65, "t": 58.92}
|
|
{"type": "train", "iter": 180, "loss": 3.6052, "ms": 288.55, "t": 61.78}
|
|
{"type": "train", "iter": 190, "loss": 3.4672, "ms": 284.84, "t": 64.64}
|
|
{"type": "eval", "iter": 200, "train_loss": 3.5267, "val_loss": 3.569, "t": 71.33}
|
|
{"type": "train", "iter": 200, "loss": 3.4533, "ms": 4560.67, "t": 71.78}
|
|
{"type": "train", "iter": 210, "loss": 3.5281, "ms": 284.63, "t": 74.63}
|
|
{"type": "train", "iter": 220, "loss": 3.5519, "ms": 287.88, "t": 77.48}
|
|
{"type": "train", "iter": 230, "loss": 3.435, "ms": 284.81, "t": 80.32}
|
|
{"type": "train", "iter": 240, "loss": 3.4945, "ms": 284.65, "t": 83.17}
|
|
{"type": "train", "iter": 250, "loss": 3.4147, "ms": 284.48, "t": 86.02}
|
|
{"type": "train", "iter": 260, "loss": 3.422, "ms": 284.64, "t": 88.87}
|
|
{"type": "train", "iter": 270, "loss": 3.3949, "ms": 283.83, "t": 91.72}
|
|
{"type": "train", "iter": 280, "loss": 3.362, "ms": 284.39, "t": 94.58}
|
|
{"type": "train", "iter": 290, "loss": 3.3412, "ms": 284.93, "t": 97.46}
|
|
{"type": "eval", "iter": 300, "train_loss": 3.3683, "val_loss": 3.4304, "t": 104.06}
|
|
{"type": "train", "iter": 300, "loss": 3.3557, "ms": 4477.21, "t": 104.51}
|