| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 1000, | |
| "global_step": 50000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 1.2623244524002075, | |
| "learning_rate": 0.00019994965423831854, | |
| "loss": 1.4022, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_loss": 1.4888113737106323, | |
| "eval_runtime": 118.6929, | |
| "eval_samples_per_second": 53.415, | |
| "eval_steps_per_second": 13.354, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 1.0886244773864746, | |
| "learning_rate": 0.00019954719225730847, | |
| "loss": 1.39, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_loss": 1.4779928922653198, | |
| "eval_runtime": 119.2893, | |
| "eval_samples_per_second": 53.148, | |
| "eval_steps_per_second": 13.287, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 1.0032905340194702, | |
| "learning_rate": 0.00019874388886763944, | |
| "loss": 1.3591, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_loss": 1.4647990465164185, | |
| "eval_runtime": 119.1474, | |
| "eval_samples_per_second": 53.211, | |
| "eval_steps_per_second": 13.303, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 1.1680448055267334, | |
| "learning_rate": 0.00019754297868854073, | |
| "loss": 1.3373, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_loss": 1.4628264904022217, | |
| "eval_runtime": 118.5565, | |
| "eval_samples_per_second": 53.477, | |
| "eval_steps_per_second": 13.369, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 1.1541577577590942, | |
| "learning_rate": 0.00019594929736144976, | |
| "loss": 1.3124, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_loss": 1.4525669813156128, | |
| "eval_runtime": 119.2106, | |
| "eval_samples_per_second": 53.183, | |
| "eval_steps_per_second": 13.296, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 1.252061367034912, | |
| "learning_rate": 0.00019396926207859084, | |
| "loss": 1.3781, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_loss": 1.4199129343032837, | |
| "eval_runtime": 119.1684, | |
| "eval_samples_per_second": 53.202, | |
| "eval_steps_per_second": 13.301, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 1.1096590757369995, | |
| "learning_rate": 0.00019161084574320696, | |
| "loss": 1.4167, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_loss": 1.399798035621643, | |
| "eval_runtime": 117.7451, | |
| "eval_samples_per_second": 53.845, | |
| "eval_steps_per_second": 13.461, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 1.014760971069336, | |
| "learning_rate": 0.00018888354486549237, | |
| "loss": 1.4106, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_loss": 1.3875452280044556, | |
| "eval_runtime": 117.8417, | |
| "eval_samples_per_second": 53.801, | |
| "eval_steps_per_second": 13.45, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.991398274898529, | |
| "learning_rate": 0.00018579834132349772, | |
| "loss": 1.3985, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_loss": 1.3735474348068237, | |
| "eval_runtime": 118.1423, | |
| "eval_samples_per_second": 53.664, | |
| "eval_steps_per_second": 13.416, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.9979888796806335, | |
| "learning_rate": 0.0001823676581429833, | |
| "loss": 1.3924, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_loss": 1.3612616062164307, | |
| "eval_runtime": 119.0319, | |
| "eval_samples_per_second": 53.263, | |
| "eval_steps_per_second": 13.316, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 1.1004694700241089, | |
| "learning_rate": 0.00017860530947427875, | |
| "loss": 1.3758, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 1.3603907823562622, | |
| "eval_runtime": 119.1776, | |
| "eval_samples_per_second": 53.198, | |
| "eval_steps_per_second": 13.299, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 1.1753897666931152, | |
| "learning_rate": 0.0001745264449675755, | |
| "loss": 1.3609, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_loss": 1.3465052843093872, | |
| "eval_runtime": 118.067, | |
| "eval_samples_per_second": 53.698, | |
| "eval_steps_per_second": 13.425, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 1.2619237899780273, | |
| "learning_rate": 0.00017014748877063214, | |
| "loss": 1.344, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_loss": 1.3324896097183228, | |
| "eval_runtime": 118.0485, | |
| "eval_samples_per_second": 53.707, | |
| "eval_steps_per_second": 13.427, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.9625117778778076, | |
| "learning_rate": 0.00016548607339452853, | |
| "loss": 1.3335, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 1.323933482170105, | |
| "eval_runtime": 117.505, | |
| "eval_samples_per_second": 53.955, | |
| "eval_steps_per_second": 13.489, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 1.3606470823287964, | |
| "learning_rate": 0.00016056096871376667, | |
| "loss": 1.3241, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_loss": 1.314150333404541, | |
| "eval_runtime": 117.8746, | |
| "eval_samples_per_second": 53.786, | |
| "eval_steps_per_second": 13.446, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.9183652400970459, | |
| "learning_rate": 0.00015539200638661104, | |
| "loss": 1.3029, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "eval_loss": 1.3047397136688232, | |
| "eval_runtime": 119.2254, | |
| "eval_samples_per_second": 53.177, | |
| "eval_steps_per_second": 13.294, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 0.9226890206336975, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 1.3005, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "eval_loss": 1.297969102859497, | |
| "eval_runtime": 119.8633, | |
| "eval_samples_per_second": 52.894, | |
| "eval_steps_per_second": 13.223, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 0.9322838187217712, | |
| "learning_rate": 0.00014440666126057744, | |
| "loss": 1.2951, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_loss": 1.2912102937698364, | |
| "eval_runtime": 119.9122, | |
| "eval_samples_per_second": 52.872, | |
| "eval_steps_per_second": 13.218, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 1.102362871170044, | |
| "learning_rate": 0.00013863451256931287, | |
| "loss": 1.313, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_loss": 1.282011866569519, | |
| "eval_runtime": 117.9359, | |
| "eval_samples_per_second": 53.758, | |
| "eval_steps_per_second": 13.44, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 1.0014485120773315, | |
| "learning_rate": 0.00013270679633174218, | |
| "loss": 1.2773, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "eval_loss": 1.2778606414794922, | |
| "eval_runtime": 120.0646, | |
| "eval_samples_per_second": 52.805, | |
| "eval_steps_per_second": 13.201, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 0.8490633964538574, | |
| "learning_rate": 0.00012664738136900348, | |
| "loss": 1.2734, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_loss": 1.2667981386184692, | |
| "eval_runtime": 117.9405, | |
| "eval_samples_per_second": 53.756, | |
| "eval_steps_per_second": 13.439, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 0.9456785321235657, | |
| "learning_rate": 0.00012048066680651908, | |
| "loss": 1.2656, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 1.258193850517273, | |
| "eval_runtime": 121.0875, | |
| "eval_samples_per_second": 52.359, | |
| "eval_steps_per_second": 13.09, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 1.1480209827423096, | |
| "learning_rate": 0.00011423148382732853, | |
| "loss": 1.2522, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_loss": 1.2538591623306274, | |
| "eval_runtime": 118.1025, | |
| "eval_samples_per_second": 53.682, | |
| "eval_steps_per_second": 13.421, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 0.8957574963569641, | |
| "learning_rate": 0.00010792499568567884, | |
| "loss": 1.2519, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_loss": 1.2467232942581177, | |
| "eval_runtime": 118.0714, | |
| "eval_samples_per_second": 53.696, | |
| "eval_steps_per_second": 13.424, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 1.2852896451950073, | |
| "learning_rate": 0.00010158659638348081, | |
| "loss": 1.24, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_loss": 1.2399760484695435, | |
| "eval_runtime": 118.556, | |
| "eval_samples_per_second": 53.477, | |
| "eval_steps_per_second": 13.369, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 0.9100021719932556, | |
| "learning_rate": 9.524180841762577e-05, | |
| "loss": 1.2653, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "eval_loss": 1.2347520589828491, | |
| "eval_runtime": 118.0581, | |
| "eval_samples_per_second": 53.702, | |
| "eval_steps_per_second": 13.426, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 1.3319469690322876, | |
| "learning_rate": 8.891618000989891e-05, | |
| "loss": 1.2313, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "eval_loss": 1.2284266948699951, | |
| "eval_runtime": 118.5886, | |
| "eval_samples_per_second": 53.462, | |
| "eval_steps_per_second": 13.366, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 1.1901592016220093, | |
| "learning_rate": 8.263518223330697e-05, | |
| "loss": 1.2218, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_loss": 1.2233468294143677, | |
| "eval_runtime": 118.009, | |
| "eval_samples_per_second": 53.725, | |
| "eval_steps_per_second": 13.431, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 1.026314616203308, | |
| "learning_rate": 7.642410644905726e-05, | |
| "loss": 1.2275, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_loss": 1.2184290885925293, | |
| "eval_runtime": 119.1308, | |
| "eval_samples_per_second": 53.219, | |
| "eval_steps_per_second": 13.305, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 1.3237501382827759, | |
| "learning_rate": 7.030796246717255e-05, | |
| "loss": 1.2395, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "eval_loss": 1.213285207748413, | |
| "eval_runtime": 118.8571, | |
| "eval_samples_per_second": 53.341, | |
| "eval_steps_per_second": 13.335, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 1.1643166542053223, | |
| "learning_rate": 6.431137784081282e-05, | |
| "loss": 1.2064, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_loss": 1.2104227542877197, | |
| "eval_runtime": 120.4291, | |
| "eval_samples_per_second": 52.645, | |
| "eval_steps_per_second": 13.161, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 0.7978019118309021, | |
| "learning_rate": 5.845849869981137e-05, | |
| "loss": 1.2141, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_loss": 1.2048578262329102, | |
| "eval_runtime": 119.224, | |
| "eval_samples_per_second": 53.177, | |
| "eval_steps_per_second": 13.294, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 1.1302543878555298, | |
| "learning_rate": 5.277289252273174e-05, | |
| "loss": 1.2054, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 1.2011561393737793, | |
| "eval_runtime": 118.3268, | |
| "eval_samples_per_second": 53.58, | |
| "eval_steps_per_second": 13.395, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 1.2881643772125244, | |
| "learning_rate": 4.727745323894976e-05, | |
| "loss": 1.2136, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_loss": 1.1976003646850586, | |
| "eval_runtime": 118.2934, | |
| "eval_samples_per_second": 53.596, | |
| "eval_steps_per_second": 13.399, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 0.8197779655456543, | |
| "learning_rate": 4.19943090428802e-05, | |
| "loss": 1.1883, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "eval_loss": 1.1930813789367676, | |
| "eval_runtime": 117.6868, | |
| "eval_samples_per_second": 53.872, | |
| "eval_steps_per_second": 13.468, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 0.9713582992553711, | |
| "learning_rate": 3.694473329154778e-05, | |
| "loss": 1.2058, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "eval_loss": 1.1900451183319092, | |
| "eval_runtime": 119.439, | |
| "eval_samples_per_second": 53.081, | |
| "eval_steps_per_second": 13.27, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 1.4913629293441772, | |
| "learning_rate": 3.21490588442868e-05, | |
| "loss": 1.1864, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "eval_loss": 1.1863234043121338, | |
| "eval_runtime": 117.5219, | |
| "eval_samples_per_second": 53.947, | |
| "eval_steps_per_second": 13.487, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 1.2373270988464355, | |
| "learning_rate": 2.7626596189492983e-05, | |
| "loss": 1.1854, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_loss": 1.1844661235809326, | |
| "eval_runtime": 117.3667, | |
| "eval_samples_per_second": 54.019, | |
| "eval_steps_per_second": 13.505, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 1.1346243619918823, | |
| "learning_rate": 2.339555568810221e-05, | |
| "loss": 1.1954, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "eval_loss": 1.1816102266311646, | |
| "eval_runtime": 118.4828, | |
| "eval_samples_per_second": 53.51, | |
| "eval_steps_per_second": 13.377, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 1.3110140562057495, | |
| "learning_rate": 1.947297424689414e-05, | |
| "loss": 1.1663, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 1.178844690322876, | |
| "eval_runtime": 118.8225, | |
| "eval_samples_per_second": 53.357, | |
| "eval_steps_per_second": 13.339, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 1.2288557291030884, | |
| "learning_rate": 1.587464671688187e-05, | |
| "loss": 1.1912, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "eval_loss": 1.177311897277832, | |
| "eval_runtime": 119.099, | |
| "eval_samples_per_second": 53.233, | |
| "eval_steps_per_second": 13.308, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 1.0926482677459717, | |
| "learning_rate": 1.2615062293021507e-05, | |
| "loss": 1.1855, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_loss": 1.1756287813186646, | |
| "eval_runtime": 118.243, | |
| "eval_samples_per_second": 53.618, | |
| "eval_steps_per_second": 13.405, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 1.0959358215332031, | |
| "learning_rate": 9.707346171337894e-06, | |
| "loss": 1.1773, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_loss": 1.1744451522827148, | |
| "eval_runtime": 118.507, | |
| "eval_samples_per_second": 53.499, | |
| "eval_steps_per_second": 13.375, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 0.8658304810523987, | |
| "learning_rate": 7.163206698392744e-06, | |
| "loss": 1.1874, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_loss": 1.1730809211730957, | |
| "eval_runtime": 118.6435, | |
| "eval_samples_per_second": 53.437, | |
| "eval_steps_per_second": 13.359, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 1.18503737449646, | |
| "learning_rate": 4.992888225905468e-06, | |
| "loss": 1.1679, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_loss": 1.171962857246399, | |
| "eval_runtime": 119.251, | |
| "eval_samples_per_second": 53.165, | |
| "eval_steps_per_second": 13.291, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 1.209384560585022, | |
| "learning_rate": 3.2051298603643753e-06, | |
| "loss": 1.1776, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "eval_loss": 1.1715712547302246, | |
| "eval_runtime": 120.3589, | |
| "eval_samples_per_second": 52.676, | |
| "eval_steps_per_second": 13.169, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 1.157520055770874, | |
| "learning_rate": 1.8071302737293295e-06, | |
| "loss": 1.1708, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_loss": 1.1712528467178345, | |
| "eval_runtime": 118.7182, | |
| "eval_samples_per_second": 53.404, | |
| "eval_steps_per_second": 13.351, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 1.0842524766921997, | |
| "learning_rate": 8.04518716920466e-07, | |
| "loss": 1.2052, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "eval_loss": 1.170965313911438, | |
| "eval_runtime": 118.8637, | |
| "eval_samples_per_second": 53.338, | |
| "eval_steps_per_second": 13.335, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 1.1883560419082642, | |
| "learning_rate": 2.0133235281156736e-07, | |
| "loss": 1.168, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_loss": 1.1708762645721436, | |
| "eval_runtime": 118.2509, | |
| "eval_samples_per_second": 53.615, | |
| "eval_steps_per_second": 13.404, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.4387354850769043, | |
| "learning_rate": 0.0, | |
| "loss": 1.1727, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 1.1708616018295288, | |
| "eval_runtime": 118.0864, | |
| "eval_samples_per_second": 53.689, | |
| "eval_steps_per_second": 13.422, | |
| "step": 50000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 50000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 8.132424105984e+17, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |