|
{ |
|
"best_metric": 0.82, |
|
"best_model_checkpoint": "distilhubert-finetuned-gtzan/checkpoint-560", |
|
"epoch": 6.0, |
|
"eval_steps": 500, |
|
"global_step": 900, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 4.464285714285714e-05, |
|
"loss": 2.2976, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 8.928571428571429e-05, |
|
"loss": 2.2855, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.00013392857142857144, |
|
"loss": 2.2307, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.00017857142857142857, |
|
"loss": 2.1327, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.00022321428571428573, |
|
"loss": 2.0339, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.00026785714285714287, |
|
"loss": 1.9633, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0003125, |
|
"loss": 1.8021, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.00035714285714285714, |
|
"loss": 1.6938, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.00040178571428571433, |
|
"loss": 1.5271, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00044642857142857147, |
|
"loss": 1.4038, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.0004910714285714286, |
|
"loss": 1.496, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_accuracy": 0.27, |
|
"eval_loss": 1.8467493057250977, |
|
"eval_runtime": 72.5718, |
|
"eval_samples_per_second": 1.378, |
|
"eval_steps_per_second": 0.179, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.000496031746031746, |
|
"loss": 1.3528, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.0004910714285714286, |
|
"loss": 1.507, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.0004861111111111111, |
|
"loss": 1.504, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0004811507936507937, |
|
"loss": 1.3719, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.0004761904761904762, |
|
"loss": 1.2284, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00047123015873015874, |
|
"loss": 1.2997, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0004662698412698413, |
|
"loss": 1.2284, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.00046130952380952383, |
|
"loss": 1.3332, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0004563492063492063, |
|
"loss": 1.1091, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"learning_rate": 0.0004513888888888889, |
|
"loss": 1.1335, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.00044642857142857147, |
|
"loss": 1.1313, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.61, |
|
"eval_loss": 1.175675868988037, |
|
"eval_runtime": 71.9077, |
|
"eval_samples_per_second": 1.391, |
|
"eval_steps_per_second": 0.181, |
|
"step": 113 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00044146825396825396, |
|
"loss": 1.1765, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 0.0004365079365079365, |
|
"loss": 1.0945, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 2.21, |
|
"learning_rate": 0.00043154761904761905, |
|
"loss": 0.9198, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 0.0004265873015873016, |
|
"loss": 1.1504, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"learning_rate": 0.00042162698412698415, |
|
"loss": 1.03, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"learning_rate": 0.0004166666666666667, |
|
"loss": 1.294, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 0.0004117063492063492, |
|
"loss": 0.918, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 0.00040674603174603173, |
|
"loss": 0.9529, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 0.00040178571428571433, |
|
"loss": 0.9366, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"learning_rate": 0.0003968253968253968, |
|
"loss": 0.9388, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 0.00039186507936507937, |
|
"loss": 1.2432, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 1.3774330615997314, |
|
"eval_runtime": 72.0805, |
|
"eval_samples_per_second": 1.387, |
|
"eval_steps_per_second": 0.18, |
|
"step": 169 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"learning_rate": 0.0003869047619047619, |
|
"loss": 0.8342, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 0.0003819444444444444, |
|
"loss": 1.2782, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"learning_rate": 0.000376984126984127, |
|
"loss": 0.9997, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 0.00037202380952380956, |
|
"loss": 0.6668, |
|
"step": 185 |
|
}, |
|
{ |
|
"epoch": 3.36, |
|
"learning_rate": 0.00036706349206349205, |
|
"loss": 0.7267, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 3.45, |
|
"learning_rate": 0.0003621031746031746, |
|
"loss": 0.892, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 0.00035714285714285714, |
|
"loss": 1.0096, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 0.0003521825396825397, |
|
"loss": 0.8909, |
|
"step": 205 |
|
}, |
|
{ |
|
"epoch": 3.72, |
|
"learning_rate": 0.00034722222222222224, |
|
"loss": 1.0591, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 3.81, |
|
"learning_rate": 0.0003422619047619048, |
|
"loss": 0.6526, |
|
"step": 215 |
|
}, |
|
{ |
|
"epoch": 3.89, |
|
"learning_rate": 0.00033730158730158733, |
|
"loss": 0.847, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 3.98, |
|
"learning_rate": 0.0003323412698412698, |
|
"loss": 0.7301, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.66, |
|
"eval_loss": 0.9738250970840454, |
|
"eval_runtime": 70.9865, |
|
"eval_samples_per_second": 1.409, |
|
"eval_steps_per_second": 0.183, |
|
"step": 226 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"learning_rate": 0.00032738095238095237, |
|
"loss": 0.8506, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"learning_rate": 0.00032242063492063497, |
|
"loss": 0.642, |
|
"step": 235 |
|
}, |
|
{ |
|
"epoch": 4.25, |
|
"learning_rate": 0.00031746031746031746, |
|
"loss": 0.6132, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 4.34, |
|
"learning_rate": 0.0003125, |
|
"loss": 0.6279, |
|
"step": 245 |
|
}, |
|
{ |
|
"epoch": 4.42, |
|
"learning_rate": 0.00030753968253968255, |
|
"loss": 0.7194, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 4.51, |
|
"learning_rate": 0.00030257936507936505, |
|
"loss": 0.7127, |
|
"step": 255 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"learning_rate": 0.00029761904761904765, |
|
"loss": 0.5318, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 4.69, |
|
"learning_rate": 0.0002926587301587302, |
|
"loss": 0.7127, |
|
"step": 265 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"learning_rate": 0.0002876984126984127, |
|
"loss": 0.5685, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 4.87, |
|
"learning_rate": 0.00028273809523809523, |
|
"loss": 0.6034, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 4.96, |
|
"learning_rate": 0.0002777777777777778, |
|
"loss": 0.5192, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"eval_accuracy": 0.73, |
|
"eval_loss": 0.9078372120857239, |
|
"eval_runtime": 71.0414, |
|
"eval_samples_per_second": 1.408, |
|
"eval_steps_per_second": 0.183, |
|
"step": 282 |
|
}, |
|
{ |
|
"epoch": 5.04, |
|
"learning_rate": 0.0002728174603174603, |
|
"loss": 0.4625, |
|
"step": 285 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 0.00026785714285714287, |
|
"loss": 0.5618, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 5.22, |
|
"learning_rate": 0.0002628968253968254, |
|
"loss": 0.4268, |
|
"step": 295 |
|
}, |
|
{ |
|
"epoch": 5.31, |
|
"learning_rate": 0.00025793650793650796, |
|
"loss": 0.545, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 5.4, |
|
"learning_rate": 0.00025297619047619046, |
|
"loss": 0.4513, |
|
"step": 305 |
|
}, |
|
{ |
|
"epoch": 5.49, |
|
"learning_rate": 0.000248015873015873, |
|
"loss": 0.4566, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 5.58, |
|
"learning_rate": 0.00024305555555555555, |
|
"loss": 0.4533, |
|
"step": 315 |
|
}, |
|
{ |
|
"epoch": 5.66, |
|
"learning_rate": 0.0002380952380952381, |
|
"loss": 0.4453, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 5.75, |
|
"learning_rate": 0.00023313492063492064, |
|
"loss": 0.4401, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 5.84, |
|
"learning_rate": 0.00022817460317460316, |
|
"loss": 0.3283, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"learning_rate": 0.00022321428571428573, |
|
"loss": 0.4163, |
|
"step": 335 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 0.9995945692062378, |
|
"eval_runtime": 71.0596, |
|
"eval_samples_per_second": 1.407, |
|
"eval_steps_per_second": 0.183, |
|
"step": 339 |
|
}, |
|
{ |
|
"epoch": 6.02, |
|
"learning_rate": 0.00021825396825396825, |
|
"loss": 0.3108, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 6.11, |
|
"learning_rate": 0.0002132936507936508, |
|
"loss": 0.2346, |
|
"step": 345 |
|
}, |
|
{ |
|
"epoch": 6.19, |
|
"learning_rate": 0.00020833333333333335, |
|
"loss": 0.2996, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 6.28, |
|
"learning_rate": 0.00020337301587301587, |
|
"loss": 0.2248, |
|
"step": 355 |
|
}, |
|
{ |
|
"epoch": 6.37, |
|
"learning_rate": 0.0001984126984126984, |
|
"loss": 0.2535, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 6.46, |
|
"learning_rate": 0.00019345238095238096, |
|
"loss": 0.1705, |
|
"step": 365 |
|
}, |
|
{ |
|
"epoch": 6.55, |
|
"learning_rate": 0.0001884920634920635, |
|
"loss": 0.2647, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 6.64, |
|
"learning_rate": 0.00018353174603174602, |
|
"loss": 0.3173, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 6.73, |
|
"learning_rate": 0.00017857142857142857, |
|
"loss": 0.2563, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 6.81, |
|
"learning_rate": 0.00017361111111111112, |
|
"loss": 0.0983, |
|
"step": 385 |
|
}, |
|
{ |
|
"epoch": 6.9, |
|
"learning_rate": 0.00016865079365079366, |
|
"loss": 0.5197, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 6.99, |
|
"learning_rate": 0.00016369047619047618, |
|
"loss": 0.2178, |
|
"step": 395 |
|
}, |
|
{ |
|
"epoch": 6.99, |
|
"eval_accuracy": 0.79, |
|
"eval_loss": 0.7682663202285767, |
|
"eval_runtime": 71.9225, |
|
"eval_samples_per_second": 1.39, |
|
"eval_steps_per_second": 0.181, |
|
"step": 395 |
|
}, |
|
{ |
|
"epoch": 7.08, |
|
"learning_rate": 0.00015873015873015873, |
|
"loss": 0.125, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 7.17, |
|
"learning_rate": 0.00015376984126984128, |
|
"loss": 0.1267, |
|
"step": 405 |
|
}, |
|
{ |
|
"epoch": 7.26, |
|
"learning_rate": 0.00014880952380952382, |
|
"loss": 0.216, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 7.35, |
|
"learning_rate": 0.00014384920634920634, |
|
"loss": 0.1007, |
|
"step": 415 |
|
}, |
|
{ |
|
"epoch": 7.43, |
|
"learning_rate": 0.0001388888888888889, |
|
"loss": 0.1302, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 7.52, |
|
"learning_rate": 0.00013392857142857144, |
|
"loss": 0.1706, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 7.61, |
|
"learning_rate": 0.00012896825396825398, |
|
"loss": 0.0971, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 7.7, |
|
"learning_rate": 0.0001240079365079365, |
|
"loss": 0.1253, |
|
"step": 435 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 0.00011904761904761905, |
|
"loss": 0.0798, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 7.88, |
|
"learning_rate": 0.00011408730158730158, |
|
"loss": 0.5271, |
|
"step": 445 |
|
}, |
|
{ |
|
"epoch": 7.96, |
|
"learning_rate": 0.00010912698412698413, |
|
"loss": 0.0814, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.78, |
|
"eval_loss": 0.9985226392745972, |
|
"eval_runtime": 70.9212, |
|
"eval_samples_per_second": 1.41, |
|
"eval_steps_per_second": 0.183, |
|
"step": 452 |
|
}, |
|
{ |
|
"epoch": 8.05, |
|
"learning_rate": 0.00010416666666666667, |
|
"loss": 0.1214, |
|
"step": 455 |
|
}, |
|
{ |
|
"epoch": 8.14, |
|
"learning_rate": 9.92063492063492e-05, |
|
"loss": 0.2457, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 8.23, |
|
"learning_rate": 9.424603174603175e-05, |
|
"loss": 0.0164, |
|
"step": 465 |
|
}, |
|
{ |
|
"epoch": 8.32, |
|
"learning_rate": 8.928571428571429e-05, |
|
"loss": 0.0147, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 8.41, |
|
"learning_rate": 8.432539682539683e-05, |
|
"loss": 0.0326, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 7.936507936507937e-05, |
|
"loss": 0.0242, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 8.58, |
|
"learning_rate": 7.440476190476191e-05, |
|
"loss": 0.1151, |
|
"step": 485 |
|
}, |
|
{ |
|
"epoch": 8.67, |
|
"learning_rate": 6.944444444444444e-05, |
|
"loss": 0.0586, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 8.76, |
|
"learning_rate": 6.448412698412699e-05, |
|
"loss": 0.0247, |
|
"step": 495 |
|
}, |
|
{ |
|
"epoch": 8.85, |
|
"learning_rate": 5.9523809523809524e-05, |
|
"loss": 0.1615, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 8.94, |
|
"learning_rate": 5.4563492063492063e-05, |
|
"loss": 0.0075, |
|
"step": 505 |
|
}, |
|
{ |
|
"epoch": 8.99, |
|
"eval_accuracy": 0.78, |
|
"eval_loss": 1.1055810451507568, |
|
"eval_runtime": 71.6983, |
|
"eval_samples_per_second": 1.395, |
|
"eval_steps_per_second": 0.181, |
|
"step": 508 |
|
}, |
|
{ |
|
"epoch": 9.03, |
|
"learning_rate": 4.96031746031746e-05, |
|
"loss": 0.0089, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 9.12, |
|
"learning_rate": 4.464285714285714e-05, |
|
"loss": 0.0107, |
|
"step": 515 |
|
}, |
|
{ |
|
"epoch": 9.2, |
|
"learning_rate": 3.968253968253968e-05, |
|
"loss": 0.0767, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 9.29, |
|
"learning_rate": 3.472222222222222e-05, |
|
"loss": 0.0075, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 9.38, |
|
"learning_rate": 2.9761904761904762e-05, |
|
"loss": 0.0184, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 9.47, |
|
"learning_rate": 2.48015873015873e-05, |
|
"loss": 0.0033, |
|
"step": 535 |
|
}, |
|
{ |
|
"epoch": 9.56, |
|
"learning_rate": 1.984126984126984e-05, |
|
"loss": 0.0022, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 9.65, |
|
"learning_rate": 1.4880952380952381e-05, |
|
"loss": 0.089, |
|
"step": 545 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"learning_rate": 9.92063492063492e-06, |
|
"loss": 0.0242, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 9.82, |
|
"learning_rate": 4.96031746031746e-06, |
|
"loss": 0.0035, |
|
"step": 555 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"learning_rate": 0.0, |
|
"loss": 0.003, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"eval_accuracy": 0.82, |
|
"eval_loss": 1.024199366569519, |
|
"eval_runtime": 71.6233, |
|
"eval_samples_per_second": 1.396, |
|
"eval_steps_per_second": 0.182, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 3.77, |
|
"learning_rate": 0.00034629629629629626, |
|
"loss": 0.0011, |
|
"step": 565 |
|
}, |
|
{ |
|
"epoch": 3.8, |
|
"learning_rate": 0.0003444444444444445, |
|
"loss": 0.0014, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 0.00034259259259259263, |
|
"loss": 0.3692, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 0.00034074074074074074, |
|
"loss": 0.0021, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"learning_rate": 0.0003388888888888889, |
|
"loss": 1.3619, |
|
"step": 585 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 0.00033703703703703706, |
|
"loss": 0.6638, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 3.97, |
|
"learning_rate": 0.0003351851851851852, |
|
"loss": 1.3796, |
|
"step": 595 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 0.0003333333333333333, |
|
"loss": 1.9854, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 2.9401955604553223, |
|
"eval_runtime": 73.4555, |
|
"eval_samples_per_second": 1.361, |
|
"eval_steps_per_second": 0.231, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 0.0003314814814814815, |
|
"loss": 0.9608, |
|
"step": 605 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"learning_rate": 0.0003296296296296296, |
|
"loss": 1.3334, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"learning_rate": 0.0003277777777777778, |
|
"loss": 2.199, |
|
"step": 615 |
|
}, |
|
{ |
|
"epoch": 4.13, |
|
"learning_rate": 0.00032592592592592596, |
|
"loss": 2.818, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 0.00032407407407407406, |
|
"loss": 1.1829, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"learning_rate": 0.0003222222222222222, |
|
"loss": 3.0117, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 0.0003203703703703704, |
|
"loss": 2.559, |
|
"step": 635 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"learning_rate": 0.00031851851851851854, |
|
"loss": 0.9064, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 4.3, |
|
"learning_rate": 0.00031666666666666665, |
|
"loss": 1.4313, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 4.33, |
|
"learning_rate": 0.0003148148148148148, |
|
"loss": 1.5546, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 4.37, |
|
"learning_rate": 0.00031296296296296297, |
|
"loss": 0.8546, |
|
"step": 655 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"learning_rate": 0.0003111111111111111, |
|
"loss": 1.1597, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 4.43, |
|
"learning_rate": 0.00030925925925925923, |
|
"loss": 0.8004, |
|
"step": 665 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"learning_rate": 0.0003074074074074074, |
|
"loss": 1.4538, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 0.0003055555555555556, |
|
"loss": 1.0613, |
|
"step": 675 |
|
}, |
|
{ |
|
"epoch": 4.53, |
|
"learning_rate": 0.0003037037037037037, |
|
"loss": 0.9142, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 4.57, |
|
"learning_rate": 0.00030185185185185187, |
|
"loss": 0.4527, |
|
"step": 685 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"learning_rate": 0.0003, |
|
"loss": 0.828, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 4.63, |
|
"learning_rate": 0.0002981481481481482, |
|
"loss": 1.0077, |
|
"step": 695 |
|
}, |
|
{ |
|
"epoch": 4.67, |
|
"learning_rate": 0.0002962962962962963, |
|
"loss": 1.5386, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 4.7, |
|
"learning_rate": 0.00029444444444444445, |
|
"loss": 0.9658, |
|
"step": 705 |
|
}, |
|
{ |
|
"epoch": 4.73, |
|
"learning_rate": 0.00029259259259259256, |
|
"loss": 0.5459, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 4.77, |
|
"learning_rate": 0.00029074074074074077, |
|
"loss": 0.5118, |
|
"step": 715 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 0.0002888888888888889, |
|
"loss": 1.6666, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"learning_rate": 0.00028703703703703703, |
|
"loss": 0.7948, |
|
"step": 725 |
|
}, |
|
{ |
|
"epoch": 4.87, |
|
"learning_rate": 0.0002851851851851852, |
|
"loss": 1.1113, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 4.9, |
|
"learning_rate": 0.00028333333333333335, |
|
"loss": 0.5932, |
|
"step": 735 |
|
}, |
|
{ |
|
"epoch": 4.93, |
|
"learning_rate": 0.0002814814814814815, |
|
"loss": 0.6585, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 4.97, |
|
"learning_rate": 0.0002796296296296296, |
|
"loss": 0.6784, |
|
"step": 745 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.0002777777777777778, |
|
"loss": 1.6072, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 2.3611490726470947, |
|
"eval_runtime": 74.012, |
|
"eval_samples_per_second": 1.351, |
|
"eval_steps_per_second": 0.23, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 5.03, |
|
"learning_rate": 0.00027592592592592594, |
|
"loss": 1.1627, |
|
"step": 755 |
|
}, |
|
{ |
|
"epoch": 5.07, |
|
"learning_rate": 0.0002740740740740741, |
|
"loss": 1.2122, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 5.1, |
|
"learning_rate": 0.0002722222222222222, |
|
"loss": 0.9308, |
|
"step": 765 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 0.00027037037037037036, |
|
"loss": 0.1098, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 5.17, |
|
"learning_rate": 0.0002685185185185186, |
|
"loss": 0.1792, |
|
"step": 775 |
|
}, |
|
{ |
|
"epoch": 5.2, |
|
"learning_rate": 0.0002666666666666667, |
|
"loss": 0.0576, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 5.23, |
|
"learning_rate": 0.00026481481481481484, |
|
"loss": 0.4938, |
|
"step": 785 |
|
}, |
|
{ |
|
"epoch": 5.27, |
|
"learning_rate": 0.00026296296296296294, |
|
"loss": 0.3774, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 5.3, |
|
"learning_rate": 0.00026111111111111116, |
|
"loss": 0.5467, |
|
"step": 795 |
|
}, |
|
{ |
|
"epoch": 5.33, |
|
"learning_rate": 0.00025925925925925926, |
|
"loss": 0.0763, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 5.37, |
|
"learning_rate": 0.0002574074074074074, |
|
"loss": 1.8333, |
|
"step": 805 |
|
}, |
|
{ |
|
"epoch": 5.4, |
|
"learning_rate": 0.00025555555555555553, |
|
"loss": 1.6781, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 5.43, |
|
"learning_rate": 0.00025370370370370374, |
|
"loss": 1.3581, |
|
"step": 815 |
|
}, |
|
{ |
|
"epoch": 5.47, |
|
"learning_rate": 0.00025185185185185185, |
|
"loss": 0.8076, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 0.00025, |
|
"loss": 0.6483, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 5.53, |
|
"learning_rate": 0.00024814814814814816, |
|
"loss": 0.4841, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 5.57, |
|
"learning_rate": 0.00024629629629629627, |
|
"loss": 0.8474, |
|
"step": 835 |
|
}, |
|
{ |
|
"epoch": 5.6, |
|
"learning_rate": 0.00024444444444444443, |
|
"loss": 1.1239, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 5.63, |
|
"learning_rate": 0.0002425925925925926, |
|
"loss": 0.5482, |
|
"step": 845 |
|
}, |
|
{ |
|
"epoch": 5.67, |
|
"learning_rate": 0.00024074074074074072, |
|
"loss": 0.0506, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 5.7, |
|
"learning_rate": 0.0002388888888888889, |
|
"loss": 0.8862, |
|
"step": 855 |
|
}, |
|
{ |
|
"epoch": 5.73, |
|
"learning_rate": 0.00023703703703703704, |
|
"loss": 1.6642, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 5.77, |
|
"learning_rate": 0.0002351851851851852, |
|
"loss": 0.7866, |
|
"step": 865 |
|
}, |
|
{ |
|
"epoch": 5.8, |
|
"learning_rate": 0.00023333333333333333, |
|
"loss": 1.0868, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 5.83, |
|
"learning_rate": 0.0002314814814814815, |
|
"loss": 0.7077, |
|
"step": 875 |
|
}, |
|
{ |
|
"epoch": 5.87, |
|
"learning_rate": 0.00022962962962962962, |
|
"loss": 0.7793, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 5.9, |
|
"learning_rate": 0.00022777777777777778, |
|
"loss": 1.0322, |
|
"step": 885 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"learning_rate": 0.00022592592592592591, |
|
"loss": 0.6766, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 5.97, |
|
"learning_rate": 0.00022407407407407407, |
|
"loss": 0.5597, |
|
"step": 895 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 0.0002222222222222222, |
|
"loss": 1.6628, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.68, |
|
"eval_loss": 2.350435495376587, |
|
"eval_runtime": 73.3199, |
|
"eval_samples_per_second": 1.364, |
|
"eval_steps_per_second": 0.232, |
|
"step": 900 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 1500, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 7.4726851594752e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|