{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.7839294463498285, "eval_steps": 100, "global_step": 800, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 2.6391387462615965, "epoch": 0.009799118079372856, "grad_norm": 7.71875, "learning_rate": 9.000000000000001e-07, "loss": 0.7942, "mean_token_accuracy": 0.8082588076591491, "num_tokens": 43694.0, "step": 10 }, { "entropy": 2.6823359608650206, "epoch": 0.019598236158745713, "grad_norm": 6.375, "learning_rate": 1.9000000000000002e-06, "loss": 0.7564, "mean_token_accuracy": 0.8178666859865189, "num_tokens": 87464.0, "step": 20 }, { "entropy": 2.7048767805099487, "epoch": 0.02939735423811857, "grad_norm": 6.09375, "learning_rate": 2.9e-06, "loss": 0.6878, "mean_token_accuracy": 0.8223719596862793, "num_tokens": 128763.0, "step": 30 }, { "entropy": 2.644310915470123, "epoch": 0.039196472317491425, "grad_norm": 7.21875, "learning_rate": 3.900000000000001e-06, "loss": 0.6425, "mean_token_accuracy": 0.8384180337190628, "num_tokens": 171120.0, "step": 40 }, { "entropy": 2.7310761332511904, "epoch": 0.04899559039686428, "grad_norm": 5.25, "learning_rate": 4.9000000000000005e-06, "loss": 0.7267, "mean_token_accuracy": 0.8242274433374405, "num_tokens": 214474.0, "step": 50 }, { "entropy": 2.6951672077178954, "epoch": 0.05879470847623714, "grad_norm": 5.28125, "learning_rate": 5.9e-06, "loss": 0.7029, "mean_token_accuracy": 0.8294231444597244, "num_tokens": 257391.0, "step": 60 }, { "entropy": 2.7150769352912905, "epoch": 0.06859382655561, "grad_norm": 6.28125, "learning_rate": 6.9e-06, "loss": 0.695, "mean_token_accuracy": 0.8301586806774139, "num_tokens": 299461.0, "step": 70 }, { "entropy": 2.6886049628257753, "epoch": 0.07839294463498285, "grad_norm": 7.34375, "learning_rate": 7.9e-06, "loss": 0.6883, "mean_token_accuracy": 0.8331334680318833, "num_tokens": 342024.0, "step": 80 }, { "entropy": 2.782685649394989, "epoch": 0.0881920627143557, "grad_norm": 6.03125, "learning_rate": 8.900000000000001e-06, "loss": 0.7174, "mean_token_accuracy": 0.824739807844162, "num_tokens": 382420.0, "step": 90 }, { "entropy": 2.801072883605957, "epoch": 0.09799118079372857, "grad_norm": 6.125, "learning_rate": 9.9e-06, "loss": 0.6569, "mean_token_accuracy": 0.8391472637653351, "num_tokens": 422978.0, "step": 100 }, { "epoch": 0.09799118079372857, "eval_entropy": 2.77619282156229, "eval_loss": 0.686501145362854, "eval_mean_token_accuracy": 0.8315936047583818, "eval_num_tokens": 422978.0, "eval_runtime": 24.2597, "eval_samples_per_second": 10.429, "eval_steps_per_second": 1.319, "step": 100 }, { "entropy": 2.6945799708366396, "epoch": 0.10779029887310142, "grad_norm": 6.84375, "learning_rate": 9.90228013029316e-06, "loss": 0.685, "mean_token_accuracy": 0.8305380374193192, "num_tokens": 466727.0, "step": 110 }, { "entropy": 2.8276916265487673, "epoch": 0.11758941695247428, "grad_norm": 4.8125, "learning_rate": 9.79370249728556e-06, "loss": 0.6494, "mean_token_accuracy": 0.8401007294654846, "num_tokens": 508416.0, "step": 120 }, { "entropy": 2.7822465658187867, "epoch": 0.12738853503184713, "grad_norm": 4.03125, "learning_rate": 9.68512486427796e-06, "loss": 0.6453, "mean_token_accuracy": 0.8334015339612961, "num_tokens": 550543.0, "step": 130 }, { "entropy": 2.8134533524513246, "epoch": 0.13718765311122, "grad_norm": 8.8125, "learning_rate": 9.576547231270358e-06, "loss": 0.6241, "mean_token_accuracy": 0.842885109782219, "num_tokens": 593308.0, "step": 140 }, { "entropy": 2.883612883090973, "epoch": 0.14698677119059284, "grad_norm": 7.0625, "learning_rate": 9.467969598262759e-06, "loss": 0.6454, "mean_token_accuracy": 0.8373580127954483, "num_tokens": 634500.0, "step": 150 }, { "entropy": 2.8347164511680605, "epoch": 0.1567858892699657, "grad_norm": 4.65625, "learning_rate": 9.359391965255158e-06, "loss": 0.6059, "mean_token_accuracy": 0.8468258231878281, "num_tokens": 676536.0, "step": 160 }, { "entropy": 2.84292151927948, "epoch": 0.16658500734933857, "grad_norm": 5.78125, "learning_rate": 9.250814332247557e-06, "loss": 0.6551, "mean_token_accuracy": 0.8365038365125657, "num_tokens": 717263.0, "step": 170 }, { "entropy": 2.8945748567581178, "epoch": 0.1763841254287114, "grad_norm": 6.15625, "learning_rate": 9.142236699239957e-06, "loss": 0.5711, "mean_token_accuracy": 0.8484834253787994, "num_tokens": 759038.0, "step": 180 }, { "entropy": 2.8259629607200623, "epoch": 0.18618324350808427, "grad_norm": 6.0625, "learning_rate": 9.033659066232356e-06, "loss": 0.6519, "mean_token_accuracy": 0.8436094433069229, "num_tokens": 802132.0, "step": 190 }, { "entropy": 2.8300761938095094, "epoch": 0.19598236158745713, "grad_norm": 4.5625, "learning_rate": 8.925081433224755e-06, "loss": 0.5844, "mean_token_accuracy": 0.8484363347291947, "num_tokens": 845920.0, "step": 200 }, { "epoch": 0.19598236158745713, "eval_entropy": 2.859285779297352, "eval_loss": 0.6323556303977966, "eval_mean_token_accuracy": 0.8397621288895607, "eval_num_tokens": 845920.0, "eval_runtime": 19.1952, "eval_samples_per_second": 13.18, "eval_steps_per_second": 1.667, "step": 200 }, { "entropy": 2.8886484503746033, "epoch": 0.20578147966683, "grad_norm": 4.5, "learning_rate": 8.816503800217156e-06, "loss": 0.5966, "mean_token_accuracy": 0.843154439330101, "num_tokens": 889117.0, "step": 210 }, { "entropy": 2.7586705803871157, "epoch": 0.21558059774620283, "grad_norm": 4.34375, "learning_rate": 8.707926167209557e-06, "loss": 0.6571, "mean_token_accuracy": 0.8334330022335052, "num_tokens": 932966.0, "step": 220 }, { "entropy": 2.7509212732315063, "epoch": 0.2253797158255757, "grad_norm": 11.0, "learning_rate": 8.599348534201956e-06, "loss": 0.6431, "mean_token_accuracy": 0.8375909745693206, "num_tokens": 976729.0, "step": 230 }, { "entropy": 2.848712170124054, "epoch": 0.23517883390494856, "grad_norm": 9.25, "learning_rate": 8.490770901194355e-06, "loss": 0.6426, "mean_token_accuracy": 0.8388061553239823, "num_tokens": 1018220.0, "step": 240 }, { "entropy": 2.7517650604248045, "epoch": 0.2449779519843214, "grad_norm": 7.375, "learning_rate": 8.382193268186755e-06, "loss": 0.6136, "mean_token_accuracy": 0.8406570553779602, "num_tokens": 1060548.0, "step": 250 }, { "entropy": 2.813077485561371, "epoch": 0.25477707006369427, "grad_norm": 5.59375, "learning_rate": 8.273615635179154e-06, "loss": 0.6356, "mean_token_accuracy": 0.8369913339614868, "num_tokens": 1104019.0, "step": 260 }, { "entropy": 2.862120878696442, "epoch": 0.2645761881430671, "grad_norm": 5.90625, "learning_rate": 8.165038002171553e-06, "loss": 0.6128, "mean_token_accuracy": 0.8411767065525055, "num_tokens": 1145164.0, "step": 270 }, { "entropy": 2.7856096982955934, "epoch": 0.27437530622244, "grad_norm": 5.96875, "learning_rate": 8.056460369163954e-06, "loss": 0.6256, "mean_token_accuracy": 0.8380905002355575, "num_tokens": 1186343.0, "step": 280 }, { "entropy": 2.763255572319031, "epoch": 0.28417442430181283, "grad_norm": 5.46875, "learning_rate": 7.947882736156353e-06, "loss": 0.5349, "mean_token_accuracy": 0.8597547829151153, "num_tokens": 1229330.0, "step": 290 }, { "entropy": 2.771083080768585, "epoch": 0.29397354238118567, "grad_norm": 4.96875, "learning_rate": 7.839305103148752e-06, "loss": 0.5939, "mean_token_accuracy": 0.8486017435789108, "num_tokens": 1273264.0, "step": 300 }, { "epoch": 0.29397354238118567, "eval_entropy": 2.8048663288354874, "eval_loss": 0.610714316368103, "eval_mean_token_accuracy": 0.8439283277839422, "eval_num_tokens": 1273264.0, "eval_runtime": 19.2535, "eval_samples_per_second": 13.14, "eval_steps_per_second": 1.662, "step": 300 }, { "entropy": 2.760388123989105, "epoch": 0.30377266046055856, "grad_norm": 15.4375, "learning_rate": 7.730727470141152e-06, "loss": 0.5957, "mean_token_accuracy": 0.847811621427536, "num_tokens": 1316383.0, "step": 310 }, { "entropy": 2.7953795909881594, "epoch": 0.3135717785399314, "grad_norm": 4.96875, "learning_rate": 7.622149837133551e-06, "loss": 0.6305, "mean_token_accuracy": 0.840548175573349, "num_tokens": 1359667.0, "step": 320 }, { "entropy": 2.6983755588531495, "epoch": 0.32337089661930424, "grad_norm": 11.375, "learning_rate": 7.51357220412595e-06, "loss": 0.5669, "mean_token_accuracy": 0.8493463039398194, "num_tokens": 1402893.0, "step": 330 }, { "entropy": 2.708102560043335, "epoch": 0.33317001469867713, "grad_norm": 9.9375, "learning_rate": 7.40499457111835e-06, "loss": 0.5803, "mean_token_accuracy": 0.8529332846403122, "num_tokens": 1446304.0, "step": 340 }, { "entropy": 2.731845164299011, "epoch": 0.34296913277804997, "grad_norm": 5.375, "learning_rate": 7.29641693811075e-06, "loss": 0.5994, "mean_token_accuracy": 0.8489784836769104, "num_tokens": 1488947.0, "step": 350 }, { "entropy": 2.8005746603012085, "epoch": 0.3527682508574228, "grad_norm": 6.25, "learning_rate": 7.187839305103149e-06, "loss": 0.5211, "mean_token_accuracy": 0.8627282440662384, "num_tokens": 1532501.0, "step": 360 }, { "entropy": 2.706599247455597, "epoch": 0.3625673689367957, "grad_norm": 5.03125, "learning_rate": 7.079261672095549e-06, "loss": 0.5896, "mean_token_accuracy": 0.845062306523323, "num_tokens": 1575209.0, "step": 370 }, { "entropy": 2.7727012634277344, "epoch": 0.37236648701616853, "grad_norm": 15.8125, "learning_rate": 6.9706840390879485e-06, "loss": 0.593, "mean_token_accuracy": 0.8456886291503907, "num_tokens": 1615520.0, "step": 380 }, { "entropy": 2.7051647901535034, "epoch": 0.3821656050955414, "grad_norm": 5.5, "learning_rate": 6.8621064060803475e-06, "loss": 0.5507, "mean_token_accuracy": 0.8546420007944107, "num_tokens": 1658292.0, "step": 390 }, { "entropy": 2.7763685464859007, "epoch": 0.39196472317491426, "grad_norm": 4.84375, "learning_rate": 6.753528773072747e-06, "loss": 0.6089, "mean_token_accuracy": 0.8412259608507157, "num_tokens": 1699630.0, "step": 400 }, { "epoch": 0.39196472317491426, "eval_entropy": 2.763894908130169, "eval_loss": 0.5999214053153992, "eval_mean_token_accuracy": 0.8466707710176706, "eval_num_tokens": 1699630.0, "eval_runtime": 19.051, "eval_samples_per_second": 13.28, "eval_steps_per_second": 1.68, "step": 400 }, { "entropy": 2.809602975845337, "epoch": 0.4017638412542871, "grad_norm": 6.875, "learning_rate": 6.644951140065147e-06, "loss": 0.6362, "mean_token_accuracy": 0.8436780005693436, "num_tokens": 1741483.0, "step": 410 }, { "entropy": 2.824617338180542, "epoch": 0.41156295933366, "grad_norm": 6.25, "learning_rate": 6.536373507057546e-06, "loss": 0.5544, "mean_token_accuracy": 0.862479692697525, "num_tokens": 1783428.0, "step": 420 }, { "entropy": 2.780674231052399, "epoch": 0.42136207741303283, "grad_norm": 4.46875, "learning_rate": 6.427795874049946e-06, "loss": 0.5959, "mean_token_accuracy": 0.8487352669239044, "num_tokens": 1825596.0, "step": 430 }, { "entropy": 2.7935621976852416, "epoch": 0.43116119549240567, "grad_norm": 4.84375, "learning_rate": 6.319218241042345e-06, "loss": 0.5787, "mean_token_accuracy": 0.845246434211731, "num_tokens": 1868684.0, "step": 440 }, { "entropy": 2.7141441464424134, "epoch": 0.44096031357177856, "grad_norm": 6.5, "learning_rate": 6.2106406080347455e-06, "loss": 0.5644, "mean_token_accuracy": 0.852169805765152, "num_tokens": 1912147.0, "step": 450 }, { "entropy": 2.7499614357948303, "epoch": 0.4507594316511514, "grad_norm": 5.59375, "learning_rate": 6.102062975027145e-06, "loss": 0.5641, "mean_token_accuracy": 0.8543315261602402, "num_tokens": 1955005.0, "step": 460 }, { "entropy": 2.7714619636535645, "epoch": 0.46055854973052424, "grad_norm": 5.5, "learning_rate": 5.993485342019545e-06, "loss": 0.5809, "mean_token_accuracy": 0.8478847473859787, "num_tokens": 1996380.0, "step": 470 }, { "entropy": 2.8680380821228026, "epoch": 0.47035766780989713, "grad_norm": 6.4375, "learning_rate": 5.884907709011944e-06, "loss": 0.6065, "mean_token_accuracy": 0.8474393934011459, "num_tokens": 2037703.0, "step": 480 }, { "entropy": 2.6957027554512023, "epoch": 0.48015678588926997, "grad_norm": 4.71875, "learning_rate": 5.776330076004344e-06, "loss": 0.4984, "mean_token_accuracy": 0.8654001474380493, "num_tokens": 2079440.0, "step": 490 }, { "entropy": 2.7772451877593993, "epoch": 0.4899559039686428, "grad_norm": 5.09375, "learning_rate": 5.667752442996744e-06, "loss": 0.6104, "mean_token_accuracy": 0.8470509260892868, "num_tokens": 2121519.0, "step": 500 }, { "epoch": 0.4899559039686428, "eval_entropy": 2.7685302942991257, "eval_loss": 0.5946313738822937, "eval_mean_token_accuracy": 0.8479105345904827, "eval_num_tokens": 2121519.0, "eval_runtime": 19.2901, "eval_samples_per_second": 13.116, "eval_steps_per_second": 1.659, "step": 500 }, { "entropy": 2.838483190536499, "epoch": 0.4997550220480157, "grad_norm": 6.78125, "learning_rate": 5.559174809989143e-06, "loss": 0.5722, "mean_token_accuracy": 0.8514155298471451, "num_tokens": 2163668.0, "step": 510 }, { "entropy": 2.7187190294265746, "epoch": 0.5095541401273885, "grad_norm": 8.3125, "learning_rate": 5.4505971769815425e-06, "loss": 0.6559, "mean_token_accuracy": 0.8406646817922592, "num_tokens": 2208584.0, "step": 520 }, { "entropy": 2.7912783145904543, "epoch": 0.5193532582067614, "grad_norm": 4.03125, "learning_rate": 5.342019543973942e-06, "loss": 0.5556, "mean_token_accuracy": 0.8573304742574692, "num_tokens": 2250613.0, "step": 530 }, { "entropy": 2.7244945645332335, "epoch": 0.5291523762861342, "grad_norm": 7.46875, "learning_rate": 5.233441910966341e-06, "loss": 0.6018, "mean_token_accuracy": 0.8491319239139556, "num_tokens": 2292569.0, "step": 540 }, { "entropy": 2.6968074440956116, "epoch": 0.5389514943655072, "grad_norm": 6.34375, "learning_rate": 5.124864277958741e-06, "loss": 0.5532, "mean_token_accuracy": 0.8539753496646881, "num_tokens": 2336377.0, "step": 550 }, { "entropy": 2.7182830929756165, "epoch": 0.54875061244488, "grad_norm": 5.8125, "learning_rate": 5.016286644951141e-06, "loss": 0.547, "mean_token_accuracy": 0.8532966852188111, "num_tokens": 2379596.0, "step": 560 }, { "entropy": 2.750958800315857, "epoch": 0.5585497305242528, "grad_norm": 7.6875, "learning_rate": 4.90770901194354e-06, "loss": 0.5818, "mean_token_accuracy": 0.8448131322860718, "num_tokens": 2422597.0, "step": 570 }, { "entropy": 2.7499714136123656, "epoch": 0.5683488486036257, "grad_norm": 6.5625, "learning_rate": 4.79913137893594e-06, "loss": 0.5806, "mean_token_accuracy": 0.8504658758640289, "num_tokens": 2468429.0, "step": 580 }, { "entropy": 2.6956202149391175, "epoch": 0.5781479666829985, "grad_norm": 15.1875, "learning_rate": 4.690553745928339e-06, "loss": 0.5836, "mean_token_accuracy": 0.8504124045372009, "num_tokens": 2511751.0, "step": 590 }, { "entropy": 2.8232338666915893, "epoch": 0.5879470847623713, "grad_norm": 6.1875, "learning_rate": 4.5819761129207385e-06, "loss": 0.5789, "mean_token_accuracy": 0.8494374930858613, "num_tokens": 2554335.0, "step": 600 }, { "epoch": 0.5879470847623713, "eval_entropy": 2.7596413865685463, "eval_loss": 0.591189444065094, "eval_mean_token_accuracy": 0.8485322501510382, "eval_num_tokens": 2554335.0, "eval_runtime": 19.2602, "eval_samples_per_second": 13.136, "eval_steps_per_second": 1.661, "step": 600 }, { "entropy": 2.708176779747009, "epoch": 0.5977462028417443, "grad_norm": 4.3125, "learning_rate": 4.473398479913138e-06, "loss": 0.5682, "mean_token_accuracy": 0.8568267792463302, "num_tokens": 2598711.0, "step": 610 }, { "entropy": 2.7695399165153503, "epoch": 0.6075453209211171, "grad_norm": 4.59375, "learning_rate": 4.364820846905538e-06, "loss": 0.5592, "mean_token_accuracy": 0.8596846997737885, "num_tokens": 2642176.0, "step": 620 }, { "entropy": 2.8415961861610413, "epoch": 0.61734443900049, "grad_norm": 9.25, "learning_rate": 4.256243213897938e-06, "loss": 0.594, "mean_token_accuracy": 0.8536108046770096, "num_tokens": 2684207.0, "step": 630 }, { "entropy": 2.796202802658081, "epoch": 0.6271435570798628, "grad_norm": 6.15625, "learning_rate": 4.147665580890337e-06, "loss": 0.5432, "mean_token_accuracy": 0.860190287232399, "num_tokens": 2724881.0, "step": 640 }, { "entropy": 2.6983245611190796, "epoch": 0.6369426751592356, "grad_norm": 4.5625, "learning_rate": 4.039087947882737e-06, "loss": 0.5497, "mean_token_accuracy": 0.8522610604763031, "num_tokens": 2768550.0, "step": 650 }, { "entropy": 2.7941854119300844, "epoch": 0.6467417932386085, "grad_norm": 5.0625, "learning_rate": 3.9305103148751365e-06, "loss": 0.5893, "mean_token_accuracy": 0.8445635885000229, "num_tokens": 2811022.0, "step": 660 }, { "entropy": 2.760863173007965, "epoch": 0.6565409113179814, "grad_norm": 5.8125, "learning_rate": 3.8219326818675354e-06, "loss": 0.5791, "mean_token_accuracy": 0.8516164273023605, "num_tokens": 2851837.0, "step": 670 }, { "entropy": 2.806622850894928, "epoch": 0.6663400293973543, "grad_norm": 6.09375, "learning_rate": 3.7133550488599353e-06, "loss": 0.5868, "mean_token_accuracy": 0.8492783725261688, "num_tokens": 2893805.0, "step": 680 }, { "entropy": 2.8078768491744994, "epoch": 0.6761391474767271, "grad_norm": 7.21875, "learning_rate": 3.6047774158523346e-06, "loss": 0.555, "mean_token_accuracy": 0.856513598561287, "num_tokens": 2936985.0, "step": 690 }, { "entropy": 2.8118430733680726, "epoch": 0.6859382655560999, "grad_norm": 8.125, "learning_rate": 3.496199782844734e-06, "loss": 0.5919, "mean_token_accuracy": 0.8447350233793258, "num_tokens": 2978790.0, "step": 700 }, { "epoch": 0.6859382655560999, "eval_entropy": 2.770235098898411, "eval_loss": 0.5892172455787659, "eval_mean_token_accuracy": 0.8493550103157759, "eval_num_tokens": 2978790.0, "eval_runtime": 19.2603, "eval_samples_per_second": 13.136, "eval_steps_per_second": 1.661, "step": 700 }, { "entropy": 2.7048792481422423, "epoch": 0.6957373836354728, "grad_norm": 4.90625, "learning_rate": 3.387622149837134e-06, "loss": 0.5567, "mean_token_accuracy": 0.849539065361023, "num_tokens": 3021835.0, "step": 710 }, { "entropy": 2.728425168991089, "epoch": 0.7055365017148456, "grad_norm": 4.6875, "learning_rate": 3.2790445168295332e-06, "loss": 0.5378, "mean_token_accuracy": 0.8606635153293609, "num_tokens": 3064935.0, "step": 720 }, { "entropy": 2.8092617750167848, "epoch": 0.7153356197942186, "grad_norm": 4.40625, "learning_rate": 3.1704668838219326e-06, "loss": 0.5941, "mean_token_accuracy": 0.8491881370544434, "num_tokens": 3106511.0, "step": 730 }, { "entropy": 2.728269863128662, "epoch": 0.7251347378735914, "grad_norm": 4.1875, "learning_rate": 3.061889250814333e-06, "loss": 0.5555, "mean_token_accuracy": 0.8544395923614502, "num_tokens": 3147924.0, "step": 740 }, { "entropy": 2.747904062271118, "epoch": 0.7349338559529642, "grad_norm": 5.03125, "learning_rate": 2.9533116178067322e-06, "loss": 0.5753, "mean_token_accuracy": 0.8510884076356888, "num_tokens": 3189628.0, "step": 750 }, { "entropy": 2.784381794929504, "epoch": 0.7447329740323371, "grad_norm": 5.28125, "learning_rate": 2.8447339847991316e-06, "loss": 0.5406, "mean_token_accuracy": 0.8581822723150253, "num_tokens": 3231421.0, "step": 760 }, { "entropy": 2.761149501800537, "epoch": 0.7545320921117099, "grad_norm": 4.71875, "learning_rate": 2.7361563517915314e-06, "loss": 0.5812, "mean_token_accuracy": 0.8436756283044815, "num_tokens": 3274633.0, "step": 770 }, { "entropy": 2.732284414768219, "epoch": 0.7643312101910829, "grad_norm": 4.3125, "learning_rate": 2.627578718783931e-06, "loss": 0.519, "mean_token_accuracy": 0.8654556035995483, "num_tokens": 3316474.0, "step": 780 }, { "entropy": 2.7518323063850403, "epoch": 0.7741303282704557, "grad_norm": 6.625, "learning_rate": 2.5190010857763302e-06, "loss": 0.5715, "mean_token_accuracy": 0.8510609477758407, "num_tokens": 3357965.0, "step": 790 }, { "entropy": 2.7155523538589477, "epoch": 0.7839294463498285, "grad_norm": 6.125, "learning_rate": 2.4104234527687296e-06, "loss": 0.5508, "mean_token_accuracy": 0.8542987465858459, "num_tokens": 3401349.0, "step": 800 }, { "epoch": 0.7839294463498285, "eval_entropy": 2.7648734971880913, "eval_loss": 0.5884459614753723, "eval_mean_token_accuracy": 0.8490999434143305, "eval_num_tokens": 3401349.0, "eval_runtime": 19.2717, "eval_samples_per_second": 13.128, "eval_steps_per_second": 1.66, "step": 800 } ], "logging_steps": 10, "max_steps": 1021, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 100, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.109110482665472e+17, "train_batch_size": 4, "trial_name": null, "trial_params": null }