{ "best_metric": null, "best_model_checkpoint": null, "epoch": 60.0, "global_step": 18720, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.5306859205776173, "eval_loss": 0.4002273380756378, "eval_runtime": 7.899, "eval_samples_per_second": 35.068, "eval_steps_per_second": 4.431, "step": 312 }, { "best_epoch": 0, "best_eval_accuracy": 0.5306859205776173, "epoch": 1.0, "step": 312 }, { "epoch": 1.6, "learning_rate": 0.003893162393162393, "loss": 0.545, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.5379061371841155, "eval_loss": 0.4058210253715515, "eval_runtime": 7.9375, "eval_samples_per_second": 34.898, "eval_steps_per_second": 4.409, "step": 624 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 2.0, "step": 624 }, { "epoch": 3.0, "eval_accuracy": 0.5379061371841155, "eval_loss": 0.3971773684024811, "eval_runtime": 7.8277, "eval_samples_per_second": 35.387, "eval_steps_per_second": 4.471, "step": 936 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 3.0, "step": 936 }, { "epoch": 3.21, "learning_rate": 0.0037863247863247863, "loss": 0.4698, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 0.43598055839538574, "eval_runtime": 7.8598, "eval_samples_per_second": 35.243, "eval_steps_per_second": 4.453, "step": 1248 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 4.0, "step": 1248 }, { "epoch": 4.81, "learning_rate": 0.0036794871794871794, "loss": 0.4785, "step": 1500 }, { "epoch": 5.0, "eval_accuracy": 0.5090252707581228, "eval_loss": 0.34939223527908325, "eval_runtime": 7.8681, "eval_samples_per_second": 35.205, "eval_steps_per_second": 4.448, "step": 1560 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 5.0, "step": 1560 }, { "epoch": 6.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 0.4100410044193268, "eval_runtime": 7.6697, "eval_samples_per_second": 36.116, "eval_steps_per_second": 4.563, "step": 1872 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 6.0, "step": 1872 }, { "epoch": 6.41, "learning_rate": 0.003572649572649573, "loss": 0.4322, "step": 2000 }, { "epoch": 7.0, "eval_accuracy": 0.5306859205776173, "eval_loss": 0.5716891884803772, "eval_runtime": 7.1399, "eval_samples_per_second": 38.796, "eval_steps_per_second": 4.902, "step": 2184 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 7.0, "step": 2184 }, { "epoch": 8.0, "eval_accuracy": 0.5379061371841155, "eval_loss": 0.4077668786048889, "eval_runtime": 7.1214, "eval_samples_per_second": 38.897, "eval_steps_per_second": 4.915, "step": 2496 }, { "best_epoch": 1, "best_eval_accuracy": 0.5379061371841155, "epoch": 8.0, "step": 2496 }, { "epoch": 8.01, "learning_rate": 0.003465811965811966, "loss": 0.3946, "step": 2500 }, { "epoch": 9.0, "eval_accuracy": 0.6570397111913358, "eval_loss": 0.3303951323032379, "eval_runtime": 7.7155, "eval_samples_per_second": 35.902, "eval_steps_per_second": 4.536, "step": 2808 }, { "best_epoch": 8, "best_eval_accuracy": 0.6570397111913358, "epoch": 9.0, "step": 2808 }, { "epoch": 9.62, "learning_rate": 0.003358974358974359, "loss": 0.36, "step": 3000 }, { "epoch": 10.0, "eval_accuracy": 0.6425992779783394, "eval_loss": 0.3317576050758362, "eval_runtime": 7.9183, "eval_samples_per_second": 34.982, "eval_steps_per_second": 4.42, "step": 3120 }, { "best_epoch": 8, "best_eval_accuracy": 0.6570397111913358, "epoch": 10.0, "step": 3120 }, { "epoch": 11.0, "eval_accuracy": 0.6931407942238267, "eval_loss": 0.3275066316127777, "eval_runtime": 7.8656, "eval_samples_per_second": 35.217, "eval_steps_per_second": 4.45, "step": 3432 }, { "best_epoch": 10, "best_eval_accuracy": 0.6931407942238267, "epoch": 11.0, "step": 3432 }, { "epoch": 11.22, "learning_rate": 0.0032521367521367523, "loss": 0.3478, "step": 3500 }, { "epoch": 12.0, "eval_accuracy": 0.7148014440433214, "eval_loss": 0.3313818871974945, "eval_runtime": 7.871, "eval_samples_per_second": 35.193, "eval_steps_per_second": 4.447, "step": 3744 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 12.0, "step": 3744 }, { "epoch": 12.82, "learning_rate": 0.0031452991452991454, "loss": 0.3359, "step": 4000 }, { "epoch": 13.0, "eval_accuracy": 0.7111913357400722, "eval_loss": 0.3276725113391876, "eval_runtime": 7.9031, "eval_samples_per_second": 35.049, "eval_steps_per_second": 4.429, "step": 4056 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 13.0, "step": 4056 }, { "epoch": 14.0, "eval_accuracy": 0.7148014440433214, "eval_loss": 0.3307007849216461, "eval_runtime": 7.8214, "eval_samples_per_second": 35.416, "eval_steps_per_second": 4.475, "step": 4368 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 14.0, "step": 4368 }, { "epoch": 14.42, "learning_rate": 0.0030384615384615385, "loss": 0.3249, "step": 4500 }, { "epoch": 15.0, "eval_accuracy": 0.6967509025270758, "eval_loss": 0.3245388865470886, "eval_runtime": 7.9087, "eval_samples_per_second": 35.025, "eval_steps_per_second": 4.425, "step": 4680 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 15.0, "step": 4680 }, { "epoch": 16.0, "eval_accuracy": 0.6498194945848376, "eval_loss": 0.3625728487968445, "eval_runtime": 7.9254, "eval_samples_per_second": 34.951, "eval_steps_per_second": 4.416, "step": 4992 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 16.0, "step": 4992 }, { "epoch": 16.03, "learning_rate": 0.0029316239316239316, "loss": 0.3253, "step": 5000 }, { "epoch": 17.0, "eval_accuracy": 0.6859205776173285, "eval_loss": 0.35674089193344116, "eval_runtime": 7.8733, "eval_samples_per_second": 35.182, "eval_steps_per_second": 4.445, "step": 5304 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 17.0, "step": 5304 }, { "epoch": 17.63, "learning_rate": 0.002824786324786325, "loss": 0.3155, "step": 5500 }, { "epoch": 18.0, "eval_accuracy": 0.7111913357400722, "eval_loss": 0.3278597295284271, "eval_runtime": 8.1927, "eval_samples_per_second": 33.811, "eval_steps_per_second": 4.272, "step": 5616 }, { "best_epoch": 11, "best_eval_accuracy": 0.7148014440433214, "epoch": 18.0, "step": 5616 }, { "epoch": 19.0, "eval_accuracy": 0.7256317689530686, "eval_loss": 0.32572436332702637, "eval_runtime": 8.048, "eval_samples_per_second": 34.419, "eval_steps_per_second": 4.349, "step": 5928 }, { "best_epoch": 18, "best_eval_accuracy": 0.7256317689530686, "epoch": 19.0, "step": 5928 }, { "epoch": 19.23, "learning_rate": 0.0027179487179487182, "loss": 0.3145, "step": 6000 }, { "epoch": 20.0, "eval_accuracy": 0.7111913357400722, "eval_loss": 0.33365291357040405, "eval_runtime": 7.9631, "eval_samples_per_second": 34.786, "eval_steps_per_second": 4.395, "step": 6240 }, { "best_epoch": 18, "best_eval_accuracy": 0.7256317689530686, "epoch": 20.0, "step": 6240 }, { "epoch": 20.83, "learning_rate": 0.0026111111111111114, "loss": 0.3051, "step": 6500 }, { "epoch": 21.0, "eval_accuracy": 0.7364620938628159, "eval_loss": 0.32888656854629517, "eval_runtime": 7.9481, "eval_samples_per_second": 34.851, "eval_steps_per_second": 4.404, "step": 6552 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 21.0, "step": 6552 }, { "epoch": 22.0, "eval_accuracy": 0.6931407942238267, "eval_loss": 0.3523448705673218, "eval_runtime": 7.9194, "eval_samples_per_second": 34.977, "eval_steps_per_second": 4.42, "step": 6864 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 22.0, "step": 6864 }, { "epoch": 22.44, "learning_rate": 0.0025042735042735045, "loss": 0.3015, "step": 7000 }, { "epoch": 23.0, "eval_accuracy": 0.703971119133574, "eval_loss": 0.3459450900554657, "eval_runtime": 7.9377, "eval_samples_per_second": 34.897, "eval_steps_per_second": 4.409, "step": 7176 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 23.0, "step": 7176 }, { "epoch": 24.0, "eval_accuracy": 0.7075812274368231, "eval_loss": 0.33232513070106506, "eval_runtime": 7.8791, "eval_samples_per_second": 35.156, "eval_steps_per_second": 4.442, "step": 7488 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 24.0, "step": 7488 }, { "epoch": 24.04, "learning_rate": 0.0023974358974358976, "loss": 0.2952, "step": 7500 }, { "epoch": 25.0, "eval_accuracy": 0.7328519855595668, "eval_loss": 0.34448423981666565, "eval_runtime": 7.9104, "eval_samples_per_second": 35.017, "eval_steps_per_second": 4.425, "step": 7800 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 25.0, "step": 7800 }, { "epoch": 25.64, "learning_rate": 0.0022905982905982907, "loss": 0.289, "step": 8000 }, { "epoch": 26.0, "eval_accuracy": 0.7328519855595668, "eval_loss": 0.35538923740386963, "eval_runtime": 7.5655, "eval_samples_per_second": 36.614, "eval_steps_per_second": 4.626, "step": 8112 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 26.0, "step": 8112 }, { "epoch": 27.0, "eval_accuracy": 0.7292418772563177, "eval_loss": 0.3209746778011322, "eval_runtime": 7.2479, "eval_samples_per_second": 38.218, "eval_steps_per_second": 4.829, "step": 8424 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 27.0, "step": 8424 }, { "epoch": 27.24, "learning_rate": 0.002183760683760684, "loss": 0.2876, "step": 8500 }, { "epoch": 28.0, "eval_accuracy": 0.7364620938628159, "eval_loss": 0.3203848898410797, "eval_runtime": 7.4991, "eval_samples_per_second": 36.938, "eval_steps_per_second": 4.667, "step": 8736 }, { "best_epoch": 20, "best_eval_accuracy": 0.7364620938628159, "epoch": 28.0, "step": 8736 }, { "epoch": 28.85, "learning_rate": 0.0020769230769230773, "loss": 0.2862, "step": 9000 }, { "epoch": 29.0, "eval_accuracy": 0.7509025270758123, "eval_loss": 0.3374094069004059, "eval_runtime": 8.1406, "eval_samples_per_second": 34.027, "eval_steps_per_second": 4.299, "step": 9048 }, { "best_epoch": 28, "best_eval_accuracy": 0.7509025270758123, "epoch": 29.0, "step": 9048 }, { "epoch": 30.0, "eval_accuracy": 0.7111913357400722, "eval_loss": 0.37784236669540405, "eval_runtime": 8.2326, "eval_samples_per_second": 33.647, "eval_steps_per_second": 4.251, "step": 9360 }, { "best_epoch": 28, "best_eval_accuracy": 0.7509025270758123, "epoch": 30.0, "step": 9360 }, { "epoch": 30.45, "learning_rate": 0.0019700854700854704, "loss": 0.2814, "step": 9500 }, { "epoch": 31.0, "eval_accuracy": 0.740072202166065, "eval_loss": 0.3352125287055969, "eval_runtime": 8.0359, "eval_samples_per_second": 34.47, "eval_steps_per_second": 4.355, "step": 9672 }, { "best_epoch": 28, "best_eval_accuracy": 0.7509025270758123, "epoch": 31.0, "step": 9672 }, { "epoch": 32.0, "eval_accuracy": 0.7256317689530686, "eval_loss": 0.3251102566719055, "eval_runtime": 7.9895, "eval_samples_per_second": 34.671, "eval_steps_per_second": 4.381, "step": 9984 }, { "best_epoch": 28, "best_eval_accuracy": 0.7509025270758123, "epoch": 32.0, "step": 9984 }, { "epoch": 32.05, "learning_rate": 0.0018632478632478633, "loss": 0.2777, "step": 10000 }, { "epoch": 33.0, "eval_accuracy": 0.7617328519855595, "eval_loss": 0.3574084937572479, "eval_runtime": 7.9489, "eval_samples_per_second": 34.848, "eval_steps_per_second": 4.403, "step": 10296 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 33.0, "step": 10296 }, { "epoch": 33.65, "learning_rate": 0.0017564102564102564, "loss": 0.2698, "step": 10500 }, { "epoch": 34.0, "eval_accuracy": 0.7292418772563177, "eval_loss": 0.3329852819442749, "eval_runtime": 8.2079, "eval_samples_per_second": 33.748, "eval_steps_per_second": 4.264, "step": 10608 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 34.0, "step": 10608 }, { "epoch": 35.0, "eval_accuracy": 0.7220216606498195, "eval_loss": 0.33876490592956543, "eval_runtime": 8.1527, "eval_samples_per_second": 33.977, "eval_steps_per_second": 4.293, "step": 10920 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 35.0, "step": 10920 }, { "epoch": 35.26, "learning_rate": 0.0016495726495726495, "loss": 0.2714, "step": 11000 }, { "epoch": 36.0, "eval_accuracy": 0.7328519855595668, "eval_loss": 0.32217517495155334, "eval_runtime": 8.0843, "eval_samples_per_second": 34.264, "eval_steps_per_second": 4.329, "step": 11232 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 36.0, "step": 11232 }, { "epoch": 36.86, "learning_rate": 0.0015427350427350429, "loss": 0.2695, "step": 11500 }, { "epoch": 37.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3481736183166504, "eval_runtime": 8.1996, "eval_samples_per_second": 33.782, "eval_steps_per_second": 4.269, "step": 11544 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 37.0, "step": 11544 }, { "epoch": 38.0, "eval_accuracy": 0.7436823104693141, "eval_loss": 0.3447316884994507, "eval_runtime": 8.1931, "eval_samples_per_second": 33.809, "eval_steps_per_second": 4.272, "step": 11856 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 38.0, "step": 11856 }, { "epoch": 38.46, "learning_rate": 0.001435897435897436, "loss": 0.2637, "step": 12000 }, { "epoch": 39.0, "eval_accuracy": 0.740072202166065, "eval_loss": 0.33936700224876404, "eval_runtime": 7.9489, "eval_samples_per_second": 34.847, "eval_steps_per_second": 4.403, "step": 12168 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 39.0, "step": 12168 }, { "epoch": 40.0, "eval_accuracy": 0.740072202166065, "eval_loss": 0.3264324963092804, "eval_runtime": 8.0534, "eval_samples_per_second": 34.395, "eval_steps_per_second": 4.346, "step": 12480 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 40.0, "step": 12480 }, { "epoch": 40.06, "learning_rate": 0.001329059829059829, "loss": 0.2646, "step": 12500 }, { "epoch": 41.0, "eval_accuracy": 0.740072202166065, "eval_loss": 0.33107784390449524, "eval_runtime": 7.9509, "eval_samples_per_second": 34.839, "eval_steps_per_second": 4.402, "step": 12792 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 41.0, "step": 12792 }, { "epoch": 41.67, "learning_rate": 0.0012222222222222224, "loss": 0.2613, "step": 13000 }, { "epoch": 42.0, "eval_accuracy": 0.7364620938628159, "eval_loss": 0.33219507336616516, "eval_runtime": 3.505, "eval_samples_per_second": 79.03, "eval_steps_per_second": 9.986, "step": 13104 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 42.0, "step": 13104 }, { "epoch": 43.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.34114494919776917, "eval_runtime": 7.9723, "eval_samples_per_second": 34.745, "eval_steps_per_second": 4.39, "step": 13416 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 43.0, "step": 13416 }, { "epoch": 43.27, "learning_rate": 0.0011153846153846155, "loss": 0.2539, "step": 13500 }, { "epoch": 44.0, "eval_accuracy": 0.7581227436823105, "eval_loss": 0.3298494219779968, "eval_runtime": 7.9519, "eval_samples_per_second": 34.835, "eval_steps_per_second": 4.401, "step": 13728 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 44.0, "step": 13728 }, { "epoch": 44.87, "learning_rate": 0.0010085470085470086, "loss": 0.2543, "step": 14000 }, { "epoch": 45.0, "eval_accuracy": 0.7436823104693141, "eval_loss": 0.3441672623157501, "eval_runtime": 8.0541, "eval_samples_per_second": 34.392, "eval_steps_per_second": 4.346, "step": 14040 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 45.0, "step": 14040 }, { "epoch": 46.0, "eval_accuracy": 0.7545126353790613, "eval_loss": 0.3398982882499695, "eval_runtime": 7.984, "eval_samples_per_second": 34.694, "eval_steps_per_second": 4.384, "step": 14352 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 46.0, "step": 14352 }, { "epoch": 46.47, "learning_rate": 0.0009017094017094017, "loss": 0.2516, "step": 14500 }, { "epoch": 47.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3330487310886383, "eval_runtime": 8.1523, "eval_samples_per_second": 33.978, "eval_steps_per_second": 4.293, "step": 14664 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 47.0, "step": 14664 }, { "epoch": 48.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3299367427825928, "eval_runtime": 8.2276, "eval_samples_per_second": 33.667, "eval_steps_per_second": 4.254, "step": 14976 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 48.0, "step": 14976 }, { "epoch": 48.08, "learning_rate": 0.0007948717948717948, "loss": 0.2509, "step": 15000 }, { "epoch": 49.0, "eval_accuracy": 0.740072202166065, "eval_loss": 0.3406999409198761, "eval_runtime": 8.0877, "eval_samples_per_second": 34.249, "eval_steps_per_second": 4.328, "step": 15288 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 49.0, "step": 15288 }, { "epoch": 49.68, "learning_rate": 0.0006880341880341881, "loss": 0.2484, "step": 15500 }, { "epoch": 50.0, "eval_accuracy": 0.7581227436823105, "eval_loss": 0.32676392793655396, "eval_runtime": 8.162, "eval_samples_per_second": 33.938, "eval_steps_per_second": 4.288, "step": 15600 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 50.0, "step": 15600 }, { "epoch": 51.0, "eval_accuracy": 0.7509025270758123, "eval_loss": 0.33857765793800354, "eval_runtime": 7.8842, "eval_samples_per_second": 35.134, "eval_steps_per_second": 4.439, "step": 15912 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 51.0, "step": 15912 }, { "epoch": 51.28, "learning_rate": 0.0005811965811965813, "loss": 0.2491, "step": 16000 }, { "epoch": 52.0, "eval_accuracy": 0.7581227436823105, "eval_loss": 0.33233577013015747, "eval_runtime": 7.2401, "eval_samples_per_second": 38.259, "eval_steps_per_second": 4.834, "step": 16224 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 52.0, "step": 16224 }, { "epoch": 52.88, "learning_rate": 0.00047435897435897434, "loss": 0.2483, "step": 16500 }, { "epoch": 53.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3448106646537781, "eval_runtime": 7.4942, "eval_samples_per_second": 36.962, "eval_steps_per_second": 4.67, "step": 16536 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 53.0, "step": 16536 }, { "epoch": 54.0, "eval_accuracy": 0.7545126353790613, "eval_loss": 0.3339071571826935, "eval_runtime": 8.0188, "eval_samples_per_second": 34.544, "eval_steps_per_second": 4.365, "step": 16848 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 54.0, "step": 16848 }, { "epoch": 54.49, "learning_rate": 0.00036752136752136755, "loss": 0.2452, "step": 17000 }, { "epoch": 55.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3342669606208801, "eval_runtime": 7.9729, "eval_samples_per_second": 34.743, "eval_steps_per_second": 4.39, "step": 17160 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 55.0, "step": 17160 }, { "epoch": 56.0, "eval_accuracy": 0.7509025270758123, "eval_loss": 0.34084513783454895, "eval_runtime": 7.9976, "eval_samples_per_second": 34.636, "eval_steps_per_second": 4.376, "step": 17472 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 56.0, "step": 17472 }, { "epoch": 56.09, "learning_rate": 0.0002606837606837607, "loss": 0.2456, "step": 17500 }, { "epoch": 57.0, "eval_accuracy": 0.7545126353790613, "eval_loss": 0.3373964726924896, "eval_runtime": 8.095, "eval_samples_per_second": 34.219, "eval_steps_per_second": 4.324, "step": 17784 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 57.0, "step": 17784 }, { "epoch": 57.69, "learning_rate": 0.00015384615384615385, "loss": 0.2429, "step": 18000 }, { "epoch": 58.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.33596983551979065, "eval_runtime": 7.9977, "eval_samples_per_second": 34.635, "eval_steps_per_second": 4.376, "step": 18096 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 58.0, "step": 18096 }, { "epoch": 59.0, "eval_accuracy": 0.7545126353790613, "eval_loss": 0.3345196545124054, "eval_runtime": 7.9889, "eval_samples_per_second": 34.673, "eval_steps_per_second": 4.381, "step": 18408 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 59.0, "step": 18408 }, { "epoch": 59.29, "learning_rate": 4.700854700854701e-05, "loss": 0.2436, "step": 18500 }, { "epoch": 60.0, "eval_accuracy": 0.7472924187725631, "eval_loss": 0.3361694812774658, "eval_runtime": 8.1052, "eval_samples_per_second": 34.175, "eval_steps_per_second": 4.318, "step": 18720 }, { "best_epoch": 32, "best_eval_accuracy": 0.7617328519855595, "epoch": 60.0, "step": 18720 }, { "epoch": 60.0, "step": 18720, "total_flos": 6.96152728406016e+16, "train_loss": 0.30472259908659843, "train_runtime": 6884.7391, "train_samples_per_second": 21.7, "train_steps_per_second": 2.719 } ], "max_steps": 18720, "num_train_epochs": 60, "total_flos": 6.96152728406016e+16, "trial_name": null, "trial_params": null }