{ "best_metric": null, "best_model_checkpoint": null, "epoch": 4.7105774324562955, "global_step": 10001, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 2e-05, "loss": 1.8914, "step": 50 }, { "epoch": 0.05, "learning_rate": 4e-05, "loss": 1.6734, "step": 100 }, { "epoch": 0.07, "learning_rate": 6e-05, "loss": 1.5728, "step": 150 }, { "epoch": 0.09, "learning_rate": 8e-05, "loss": 1.528, "step": 200 }, { "epoch": 0.12, "learning_rate": 0.0001, "loss": 1.4775, "step": 250 }, { "epoch": 0.14, "learning_rate": 0.00012, "loss": 1.4352, "step": 300 }, { "epoch": 0.16, "learning_rate": 0.00014, "loss": 1.4069, "step": 350 }, { "epoch": 0.19, "learning_rate": 0.00016, "loss": 1.375, "step": 400 }, { "epoch": 0.21, "learning_rate": 0.00018, "loss": 1.367, "step": 450 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.3565, "step": 500 }, { "epoch": 0.26, "learning_rate": 0.00022000000000000003, "loss": 1.3423, "step": 550 }, { "epoch": 0.28, "learning_rate": 0.00024, "loss": 1.3311, "step": 600 }, { "epoch": 0.31, "learning_rate": 0.00026000000000000003, "loss": 1.3245, "step": 650 }, { "epoch": 0.33, "learning_rate": 0.00028, "loss": 1.3214, "step": 700 }, { "epoch": 0.35, "learning_rate": 0.00030000000000000003, "loss": 1.3247, "step": 750 }, { "epoch": 0.38, "learning_rate": 0.00032, "loss": 1.3089, "step": 800 }, { "epoch": 0.4, "learning_rate": 0.00034, "loss": 1.3194, "step": 850 }, { "epoch": 0.42, "learning_rate": 0.00036, "loss": 1.3225, "step": 900 }, { "epoch": 0.45, "learning_rate": 0.00038, "loss": 1.3254, "step": 950 }, { "epoch": 0.47, "learning_rate": 0.0004, "loss": 1.3139, "step": 1000 }, { "epoch": 0.47, "eval_loss": 1.5397893190383911, "eval_runtime": 119.9433, "eval_samples_per_second": 1511.548, "eval_steps_per_second": 5.911, "step": 1000 }, { "epoch": 0.49, "learning_rate": 0.0003977777777777778, "loss": 1.3313, "step": 1050 }, { "epoch": 0.52, "learning_rate": 0.00039555555555555557, "loss": 1.318, "step": 1100 }, { "epoch": 0.54, "learning_rate": 0.0003933333333333333, "loss": 1.3092, "step": 1150 }, { "epoch": 0.57, "learning_rate": 0.0003911111111111111, "loss": 1.3036, "step": 1200 }, { "epoch": 0.59, "learning_rate": 0.0003888888888888889, "loss": 1.2931, "step": 1250 }, { "epoch": 0.61, "learning_rate": 0.00038666666666666667, "loss": 1.2986, "step": 1300 }, { "epoch": 0.64, "learning_rate": 0.00038444444444444447, "loss": 1.4597, "step": 1350 }, { "epoch": 0.66, "learning_rate": 0.0003822222222222223, "loss": 1.8909, "step": 1400 }, { "epoch": 0.68, "learning_rate": 0.00038, "loss": 1.347, "step": 1450 }, { "epoch": 0.71, "learning_rate": 0.00037777777777777777, "loss": 1.3039, "step": 1500 }, { "epoch": 0.73, "learning_rate": 0.00037555555555555557, "loss": 1.2929, "step": 1550 }, { "epoch": 0.75, "learning_rate": 0.0003733333333333334, "loss": 1.2783, "step": 1600 }, { "epoch": 0.78, "learning_rate": 0.0003711111111111111, "loss": 1.2644, "step": 1650 }, { "epoch": 0.8, "learning_rate": 0.0003688888888888889, "loss": 1.255, "step": 1700 }, { "epoch": 0.82, "learning_rate": 0.00036666666666666667, "loss": 1.2509, "step": 1750 }, { "epoch": 0.85, "learning_rate": 0.00036444444444444447, "loss": 1.254, "step": 1800 }, { "epoch": 0.87, "learning_rate": 0.0003622222222222222, "loss": 1.2436, "step": 1850 }, { "epoch": 0.89, "learning_rate": 0.00036, "loss": 1.2499, "step": 1900 }, { "epoch": 0.92, "learning_rate": 0.0003577777777777778, "loss": 1.5927, "step": 1950 }, { "epoch": 0.94, "learning_rate": 0.00035555555555555557, "loss": 1.4569, "step": 2000 }, { "epoch": 0.94, "eval_loss": 1.661188006401062, "eval_runtime": 106.3952, "eval_samples_per_second": 1704.024, "eval_steps_per_second": 6.664, "step": 2000 }, { "epoch": 0.97, "learning_rate": 0.0003533333333333333, "loss": 1.333, "step": 2050 }, { "epoch": 0.99, "learning_rate": 0.0003511111111111111, "loss": 1.4076, "step": 2100 }, { "epoch": 1.01, "learning_rate": 0.0003488888888888889, "loss": 1.4328, "step": 2150 }, { "epoch": 1.04, "learning_rate": 0.00034666666666666667, "loss": 1.3461, "step": 2200 }, { "epoch": 1.06, "learning_rate": 0.0003444444444444445, "loss": 1.4831, "step": 2250 }, { "epoch": 1.08, "learning_rate": 0.0003422222222222222, "loss": 1.4935, "step": 2300 }, { "epoch": 1.11, "learning_rate": 0.00034, "loss": 1.4034, "step": 2350 }, { "epoch": 1.13, "learning_rate": 0.00033777777777777777, "loss": 1.3652, "step": 2400 }, { "epoch": 1.15, "learning_rate": 0.0003355555555555556, "loss": 1.2921, "step": 2450 }, { "epoch": 1.18, "learning_rate": 0.0003333333333333334, "loss": 1.2564, "step": 2500 }, { "epoch": 1.2, "learning_rate": 0.0003311111111111111, "loss": 1.2344, "step": 2550 }, { "epoch": 1.22, "learning_rate": 0.00032888888888888887, "loss": 1.2705, "step": 2600 }, { "epoch": 1.25, "learning_rate": 0.0003266666666666667, "loss": 1.3214, "step": 2650 }, { "epoch": 1.27, "learning_rate": 0.0003244444444444445, "loss": 1.2318, "step": 2700 }, { "epoch": 1.3, "learning_rate": 0.0003222222222222222, "loss": 1.2029, "step": 2750 }, { "epoch": 1.32, "learning_rate": 0.00032, "loss": 1.2056, "step": 2800 }, { "epoch": 1.34, "learning_rate": 0.0003177777777777778, "loss": 1.1931, "step": 2850 }, { "epoch": 1.37, "learning_rate": 0.0003155555555555556, "loss": 1.1812, "step": 2900 }, { "epoch": 1.39, "learning_rate": 0.0003133333333333333, "loss": 1.1863, "step": 2950 }, { "epoch": 1.41, "learning_rate": 0.0003111111111111111, "loss": 1.1795, "step": 3000 }, { "epoch": 1.41, "eval_loss": 1.5454002618789673, "eval_runtime": 104.0653, "eval_samples_per_second": 1742.176, "eval_steps_per_second": 6.813, "step": 3000 }, { "epoch": 1.44, "learning_rate": 0.00030888888888888893, "loss": 1.1856, "step": 3050 }, { "epoch": 1.46, "learning_rate": 0.0003066666666666667, "loss": 1.1765, "step": 3100 }, { "epoch": 1.48, "learning_rate": 0.0003044444444444444, "loss": 1.3244, "step": 3150 }, { "epoch": 1.51, "learning_rate": 0.0003022222222222222, "loss": 1.2179, "step": 3200 }, { "epoch": 1.53, "learning_rate": 0.00030000000000000003, "loss": 1.2114, "step": 3250 }, { "epoch": 1.55, "learning_rate": 0.0002977777777777778, "loss": 1.1968, "step": 3300 }, { "epoch": 1.58, "learning_rate": 0.0002955555555555556, "loss": 1.1798, "step": 3350 }, { "epoch": 1.6, "learning_rate": 0.0002933333333333333, "loss": 1.1851, "step": 3400 }, { "epoch": 1.62, "learning_rate": 0.00029111111111111113, "loss": 1.2182, "step": 3450 }, { "epoch": 1.65, "learning_rate": 0.0002888888888888889, "loss": 1.1791, "step": 3500 }, { "epoch": 1.67, "learning_rate": 0.0002866666666666667, "loss": 1.1842, "step": 3550 }, { "epoch": 1.7, "learning_rate": 0.0002844444444444445, "loss": 1.2017, "step": 3600 }, { "epoch": 1.72, "learning_rate": 0.00028222222222222223, "loss": 1.2376, "step": 3650 }, { "epoch": 1.74, "learning_rate": 0.00028, "loss": 1.3329, "step": 3700 }, { "epoch": 1.77, "learning_rate": 0.0002777777777777778, "loss": 1.2929, "step": 3750 }, { "epoch": 1.79, "learning_rate": 0.0002755555555555556, "loss": 1.2387, "step": 3800 }, { "epoch": 1.81, "learning_rate": 0.00027333333333333333, "loss": 1.1944, "step": 3850 }, { "epoch": 1.84, "learning_rate": 0.00027111111111111113, "loss": 1.196, "step": 3900 }, { "epoch": 1.86, "learning_rate": 0.00026888888888888893, "loss": 1.1817, "step": 3950 }, { "epoch": 1.88, "learning_rate": 0.0002666666666666667, "loss": 1.1769, "step": 4000 }, { "epoch": 1.88, "eval_loss": 1.526174545288086, "eval_runtime": 104.8904, "eval_samples_per_second": 1728.471, "eval_steps_per_second": 6.759, "step": 4000 }, { "epoch": 1.91, "learning_rate": 0.00026444444444444443, "loss": 1.1606, "step": 4050 }, { "epoch": 1.93, "learning_rate": 0.00026222222222222223, "loss": 1.2703, "step": 4100 }, { "epoch": 1.95, "learning_rate": 0.00026000000000000003, "loss": 1.2824, "step": 4150 }, { "epoch": 1.98, "learning_rate": 0.00025777777777777783, "loss": 1.2228, "step": 4200 }, { "epoch": 2.0, "learning_rate": 0.00025555555555555553, "loss": 1.2338, "step": 4250 }, { "epoch": 2.03, "learning_rate": 0.00025333333333333333, "loss": 1.163, "step": 4300 }, { "epoch": 2.05, "learning_rate": 0.00025111111111111113, "loss": 1.1332, "step": 4350 }, { "epoch": 2.07, "learning_rate": 0.0002488888888888889, "loss": 1.1206, "step": 4400 }, { "epoch": 2.1, "learning_rate": 0.0002466666666666667, "loss": 1.1597, "step": 4450 }, { "epoch": 2.12, "learning_rate": 0.0002444444444444445, "loss": 1.1259, "step": 4500 }, { "epoch": 2.14, "learning_rate": 0.0002422222222222222, "loss": 1.1178, "step": 4550 }, { "epoch": 2.17, "learning_rate": 0.00024, "loss": 1.1119, "step": 4600 }, { "epoch": 2.19, "learning_rate": 0.00023777777777777778, "loss": 1.1104, "step": 4650 }, { "epoch": 2.21, "learning_rate": 0.00023555555555555558, "loss": 1.1064, "step": 4700 }, { "epoch": 2.24, "learning_rate": 0.00023333333333333336, "loss": 1.1111, "step": 4750 }, { "epoch": 2.26, "learning_rate": 0.0002311111111111111, "loss": 1.0994, "step": 4800 }, { "epoch": 2.28, "learning_rate": 0.00022888888888888888, "loss": 1.1002, "step": 4850 }, { "epoch": 2.31, "learning_rate": 0.00022666666666666668, "loss": 1.1486, "step": 4900 }, { "epoch": 2.33, "learning_rate": 0.00022444444444444446, "loss": 1.1115, "step": 4950 }, { "epoch": 2.36, "learning_rate": 0.00022222222222222223, "loss": 1.1026, "step": 5000 }, { "epoch": 2.36, "eval_loss": 1.4830693006515503, "eval_runtime": 104.1599, "eval_samples_per_second": 1740.593, "eval_steps_per_second": 6.807, "step": 5000 }, { "epoch": 2.38, "learning_rate": 0.00022000000000000003, "loss": 1.1098, "step": 5050 }, { "epoch": 2.4, "learning_rate": 0.00021777777777777778, "loss": 1.0984, "step": 5100 }, { "epoch": 2.43, "learning_rate": 0.00021555555555555556, "loss": 1.0858, "step": 5150 }, { "epoch": 2.45, "learning_rate": 0.00021333333333333333, "loss": 1.1243, "step": 5200 }, { "epoch": 2.47, "learning_rate": 0.00021111111111111113, "loss": 1.125, "step": 5250 }, { "epoch": 2.5, "learning_rate": 0.0002088888888888889, "loss": 1.108, "step": 5300 }, { "epoch": 2.52, "learning_rate": 0.00020666666666666668, "loss": 1.0821, "step": 5350 }, { "epoch": 2.54, "learning_rate": 0.00020444444444444443, "loss": 1.087, "step": 5400 }, { "epoch": 2.57, "learning_rate": 0.00020222222222222223, "loss": 1.0814, "step": 5450 }, { "epoch": 2.59, "learning_rate": 0.0002, "loss": 1.0799, "step": 5500 }, { "epoch": 2.61, "learning_rate": 0.00019777777777777778, "loss": 1.0771, "step": 5550 }, { "epoch": 2.64, "learning_rate": 0.00019555555555555556, "loss": 1.0777, "step": 5600 }, { "epoch": 2.66, "learning_rate": 0.00019333333333333333, "loss": 1.0765, "step": 5650 }, { "epoch": 2.68, "learning_rate": 0.00019111111111111114, "loss": 1.0703, "step": 5700 }, { "epoch": 2.71, "learning_rate": 0.00018888888888888888, "loss": 1.0722, "step": 5750 }, { "epoch": 2.73, "learning_rate": 0.0001866666666666667, "loss": 1.0917, "step": 5800 }, { "epoch": 2.76, "learning_rate": 0.00018444444444444446, "loss": 1.0741, "step": 5850 }, { "epoch": 2.78, "learning_rate": 0.00018222222222222224, "loss": 1.077, "step": 5900 }, { "epoch": 2.8, "learning_rate": 0.00018, "loss": 1.0683, "step": 5950 }, { "epoch": 2.83, "learning_rate": 0.00017777777777777779, "loss": 1.0711, "step": 6000 }, { "epoch": 2.83, "eval_loss": 1.4865516424179077, "eval_runtime": 104.1916, "eval_samples_per_second": 1740.063, "eval_steps_per_second": 6.805, "step": 6000 }, { "epoch": 2.85, "learning_rate": 0.00017555555555555556, "loss": 1.0955, "step": 6050 }, { "epoch": 2.87, "learning_rate": 0.00017333333333333334, "loss": 1.1421, "step": 6100 }, { "epoch": 2.9, "learning_rate": 0.0001711111111111111, "loss": 1.1308, "step": 6150 }, { "epoch": 2.92, "learning_rate": 0.00016888888888888889, "loss": 1.0915, "step": 6200 }, { "epoch": 2.94, "learning_rate": 0.0001666666666666667, "loss": 1.0693, "step": 6250 }, { "epoch": 2.97, "learning_rate": 0.00016444444444444444, "loss": 1.0804, "step": 6300 }, { "epoch": 2.99, "learning_rate": 0.00016222222222222224, "loss": 1.0684, "step": 6350 }, { "epoch": 3.01, "learning_rate": 0.00016, "loss": 1.0886, "step": 6400 }, { "epoch": 3.04, "learning_rate": 0.0001577777777777778, "loss": 1.0576, "step": 6450 }, { "epoch": 3.06, "learning_rate": 0.00015555555555555556, "loss": 1.0446, "step": 6500 }, { "epoch": 3.09, "learning_rate": 0.00015333333333333334, "loss": 1.0426, "step": 6550 }, { "epoch": 3.11, "learning_rate": 0.0001511111111111111, "loss": 1.0404, "step": 6600 }, { "epoch": 3.13, "learning_rate": 0.0001488888888888889, "loss": 1.0446, "step": 6650 }, { "epoch": 3.16, "learning_rate": 0.00014666666666666666, "loss": 1.0564, "step": 6700 }, { "epoch": 3.18, "learning_rate": 0.00014444444444444444, "loss": 1.0452, "step": 6750 }, { "epoch": 3.2, "learning_rate": 0.00014222222222222224, "loss": 1.0327, "step": 6800 }, { "epoch": 3.23, "learning_rate": 0.00014, "loss": 1.0353, "step": 6850 }, { "epoch": 3.25, "learning_rate": 0.0001377777777777778, "loss": 1.0259, "step": 6900 }, { "epoch": 3.27, "learning_rate": 0.00013555555555555556, "loss": 1.0328, "step": 6950 }, { "epoch": 3.3, "learning_rate": 0.00013333333333333334, "loss": 1.0321, "step": 7000 }, { "epoch": 3.3, "eval_loss": 1.4409459829330444, "eval_runtime": 104.0221, "eval_samples_per_second": 1742.9, "eval_steps_per_second": 6.816, "step": 7000 }, { "epoch": 3.32, "learning_rate": 0.00013111111111111111, "loss": 1.0295, "step": 7050 }, { "epoch": 3.34, "learning_rate": 0.00012888888888888892, "loss": 1.0262, "step": 7100 }, { "epoch": 3.37, "learning_rate": 0.00012666666666666666, "loss": 1.0278, "step": 7150 }, { "epoch": 3.39, "learning_rate": 0.00012444444444444444, "loss": 1.0227, "step": 7200 }, { "epoch": 3.41, "learning_rate": 0.00012222222222222224, "loss": 1.0262, "step": 7250 }, { "epoch": 3.44, "learning_rate": 0.00012, "loss": 1.0205, "step": 7300 }, { "epoch": 3.46, "learning_rate": 0.00011777777777777779, "loss": 1.0107, "step": 7350 }, { "epoch": 3.49, "learning_rate": 0.00011555555555555555, "loss": 1.0218, "step": 7400 }, { "epoch": 3.51, "learning_rate": 0.00011333333333333334, "loss": 1.0205, "step": 7450 }, { "epoch": 3.53, "learning_rate": 0.00011111111111111112, "loss": 1.0196, "step": 7500 }, { "epoch": 3.56, "learning_rate": 0.00010888888888888889, "loss": 1.0197, "step": 7550 }, { "epoch": 3.58, "learning_rate": 0.00010666666666666667, "loss": 1.0139, "step": 7600 }, { "epoch": 3.6, "learning_rate": 0.00010444444444444445, "loss": 1.0011, "step": 7650 }, { "epoch": 3.63, "learning_rate": 0.00010222222222222222, "loss": 1.0056, "step": 7700 }, { "epoch": 3.65, "learning_rate": 0.0001, "loss": 1.0152, "step": 7750 }, { "epoch": 3.67, "learning_rate": 9.777777777777778e-05, "loss": 1.0078, "step": 7800 }, { "epoch": 3.7, "learning_rate": 9.555555555555557e-05, "loss": 1.0101, "step": 7850 }, { "epoch": 3.72, "learning_rate": 9.333333333333334e-05, "loss": 0.9983, "step": 7900 }, { "epoch": 3.74, "learning_rate": 9.111111111111112e-05, "loss": 0.9922, "step": 7950 }, { "epoch": 3.77, "learning_rate": 8.888888888888889e-05, "loss": 0.9994, "step": 8000 }, { "epoch": 3.77, "eval_loss": 1.420628547668457, "eval_runtime": 104.1119, "eval_samples_per_second": 1741.396, "eval_steps_per_second": 6.81, "step": 8000 }, { "epoch": 3.79, "learning_rate": 8.666666666666667e-05, "loss": 1.0066, "step": 8050 }, { "epoch": 3.82, "learning_rate": 8.444444444444444e-05, "loss": 1.0028, "step": 8100 }, { "epoch": 3.84, "learning_rate": 8.222222222222222e-05, "loss": 1.0007, "step": 8150 }, { "epoch": 3.86, "learning_rate": 8e-05, "loss": 1.0081, "step": 8200 }, { "epoch": 3.89, "learning_rate": 7.777777777777778e-05, "loss": 0.9953, "step": 8250 }, { "epoch": 3.91, "learning_rate": 7.555555555555556e-05, "loss": 0.9866, "step": 8300 }, { "epoch": 3.93, "learning_rate": 7.333333333333333e-05, "loss": 0.9961, "step": 8350 }, { "epoch": 3.96, "learning_rate": 7.111111111111112e-05, "loss": 0.9891, "step": 8400 }, { "epoch": 3.98, "learning_rate": 6.88888888888889e-05, "loss": 0.9917, "step": 8450 }, { "epoch": 4.0, "learning_rate": 6.666666666666667e-05, "loss": 1.0035, "step": 8500 }, { "epoch": 4.03, "learning_rate": 6.444444444444446e-05, "loss": 0.9899, "step": 8550 }, { "epoch": 4.05, "learning_rate": 6.222222222222222e-05, "loss": 0.9769, "step": 8600 }, { "epoch": 4.07, "learning_rate": 6e-05, "loss": 0.9781, "step": 8650 }, { "epoch": 4.1, "learning_rate": 5.7777777777777776e-05, "loss": 0.9802, "step": 8700 }, { "epoch": 4.12, "learning_rate": 5.555555555555556e-05, "loss": 0.9727, "step": 8750 }, { "epoch": 4.15, "learning_rate": 5.333333333333333e-05, "loss": 0.9742, "step": 8800 }, { "epoch": 4.17, "learning_rate": 5.111111111111111e-05, "loss": 0.9723, "step": 8850 }, { "epoch": 4.19, "learning_rate": 4.888888888888889e-05, "loss": 0.9809, "step": 8900 }, { "epoch": 4.22, "learning_rate": 4.666666666666667e-05, "loss": 0.9753, "step": 8950 }, { "epoch": 4.24, "learning_rate": 4.4444444444444447e-05, "loss": 0.9774, "step": 9000 }, { "epoch": 4.24, "eval_loss": 1.3941148519515991, "eval_runtime": 104.2747, "eval_samples_per_second": 1738.677, "eval_steps_per_second": 6.799, "step": 9000 }, { "epoch": 4.26, "learning_rate": 4.222222222222222e-05, "loss": 0.9603, "step": 9050 }, { "epoch": 4.29, "learning_rate": 4e-05, "loss": 0.9632, "step": 9100 }, { "epoch": 4.31, "learning_rate": 3.777777777777778e-05, "loss": 0.9701, "step": 9150 }, { "epoch": 4.33, "learning_rate": 3.555555555555556e-05, "loss": 0.966, "step": 9200 }, { "epoch": 4.36, "learning_rate": 3.3333333333333335e-05, "loss": 0.9725, "step": 9250 }, { "epoch": 4.38, "learning_rate": 3.111111111111111e-05, "loss": 0.9644, "step": 9300 }, { "epoch": 4.4, "learning_rate": 2.8888888888888888e-05, "loss": 0.9613, "step": 9350 }, { "epoch": 4.43, "learning_rate": 2.6666666666666667e-05, "loss": 0.971, "step": 9400 }, { "epoch": 4.45, "learning_rate": 2.4444444444444445e-05, "loss": 0.9592, "step": 9450 }, { "epoch": 4.47, "learning_rate": 2.2222222222222223e-05, "loss": 0.9692, "step": 9500 }, { "epoch": 4.5, "learning_rate": 2e-05, "loss": 0.9639, "step": 9550 }, { "epoch": 4.52, "learning_rate": 1.777777777777778e-05, "loss": 0.9562, "step": 9600 }, { "epoch": 4.55, "learning_rate": 1.5555555555555555e-05, "loss": 0.9645, "step": 9650 }, { "epoch": 4.57, "learning_rate": 1.3333333333333333e-05, "loss": 0.9638, "step": 9700 }, { "epoch": 4.59, "learning_rate": 1.1111111111111112e-05, "loss": 0.9614, "step": 9750 }, { "epoch": 4.62, "learning_rate": 8.88888888888889e-06, "loss": 0.9607, "step": 9800 }, { "epoch": 4.64, "learning_rate": 6.666666666666667e-06, "loss": 0.9602, "step": 9850 }, { "epoch": 4.66, "learning_rate": 4.444444444444445e-06, "loss": 0.9643, "step": 9900 }, { "epoch": 4.69, "learning_rate": 2.2222222222222225e-06, "loss": 0.9525, "step": 9950 }, { "epoch": 4.71, "learning_rate": 0.0, "loss": 0.9618, "step": 10000 }, { "epoch": 4.71, "eval_loss": 1.3830920457839966, "eval_runtime": 104.4628, "eval_samples_per_second": 1735.547, "eval_steps_per_second": 6.787, "step": 10000 }, { "epoch": 4.71, "step": 10001, "total_flos": 1.685090114171044e+17, "train_loss": 0.00010499673156234791, "train_runtime": 1054.6912, "train_samples_per_second": 19418.005, "train_steps_per_second": 9.481 } ], "max_steps": 10000, "num_train_epochs": 5, "total_flos": 1.685090114171044e+17, "trial_name": null, "trial_params": null }