Food-Recognition / trainer_state.json
Jacques7103's picture
🍻 cheers
6b1c18f
raw
history blame
27.4 kB
{
"best_metric": 0.26776641607284546,
"best_model_checkpoint": "food-recognition\\checkpoint-1500",
"epoch": 4.0,
"global_step": 1876,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 0.00019893390191897656,
"loss": 2.1647,
"step": 10
},
{
"epoch": 0.04,
"learning_rate": 0.0001978678038379531,
"loss": 1.7478,
"step": 20
},
{
"epoch": 0.06,
"learning_rate": 0.00019680170575692965,
"loss": 1.4997,
"step": 30
},
{
"epoch": 0.09,
"learning_rate": 0.0001957356076759062,
"loss": 1.1421,
"step": 40
},
{
"epoch": 0.11,
"learning_rate": 0.00019466950959488275,
"loss": 1.0115,
"step": 50
},
{
"epoch": 0.13,
"learning_rate": 0.00019360341151385927,
"loss": 0.8962,
"step": 60
},
{
"epoch": 0.15,
"learning_rate": 0.00019253731343283584,
"loss": 0.774,
"step": 70
},
{
"epoch": 0.17,
"learning_rate": 0.0001914712153518124,
"loss": 0.8508,
"step": 80
},
{
"epoch": 0.19,
"learning_rate": 0.0001904051172707889,
"loss": 0.8852,
"step": 90
},
{
"epoch": 0.21,
"learning_rate": 0.00018933901918976546,
"loss": 0.6346,
"step": 100
},
{
"epoch": 0.21,
"eval_accuracy": 0.8136,
"eval_loss": 0.6600381135940552,
"eval_runtime": 910.9195,
"eval_samples_per_second": 2.744,
"eval_steps_per_second": 0.344,
"step": 100
},
{
"epoch": 0.23,
"learning_rate": 0.00018827292110874203,
"loss": 0.7183,
"step": 110
},
{
"epoch": 0.26,
"learning_rate": 0.00018720682302771858,
"loss": 0.7806,
"step": 120
},
{
"epoch": 0.28,
"learning_rate": 0.0001861407249466951,
"loss": 0.7702,
"step": 130
},
{
"epoch": 0.3,
"learning_rate": 0.00018507462686567165,
"loss": 0.8338,
"step": 140
},
{
"epoch": 0.32,
"learning_rate": 0.0001840085287846482,
"loss": 0.732,
"step": 150
},
{
"epoch": 0.34,
"learning_rate": 0.00018294243070362474,
"loss": 0.6746,
"step": 160
},
{
"epoch": 0.36,
"learning_rate": 0.0001818763326226013,
"loss": 0.5369,
"step": 170
},
{
"epoch": 0.38,
"learning_rate": 0.00018081023454157784,
"loss": 0.6082,
"step": 180
},
{
"epoch": 0.41,
"learning_rate": 0.00017974413646055436,
"loss": 0.5756,
"step": 190
},
{
"epoch": 0.43,
"learning_rate": 0.00017867803837953093,
"loss": 0.4988,
"step": 200
},
{
"epoch": 0.43,
"eval_accuracy": 0.8212,
"eval_loss": 0.5744591951370239,
"eval_runtime": 901.9851,
"eval_samples_per_second": 2.772,
"eval_steps_per_second": 0.347,
"step": 200
},
{
"epoch": 0.45,
"learning_rate": 0.00017761194029850748,
"loss": 0.672,
"step": 210
},
{
"epoch": 0.47,
"learning_rate": 0.00017654584221748402,
"loss": 0.6575,
"step": 220
},
{
"epoch": 0.49,
"learning_rate": 0.00017547974413646055,
"loss": 0.5028,
"step": 230
},
{
"epoch": 0.51,
"learning_rate": 0.00017441364605543712,
"loss": 0.5451,
"step": 240
},
{
"epoch": 0.53,
"learning_rate": 0.00017334754797441367,
"loss": 0.6499,
"step": 250
},
{
"epoch": 0.55,
"learning_rate": 0.0001722814498933902,
"loss": 0.7127,
"step": 260
},
{
"epoch": 0.58,
"learning_rate": 0.00017121535181236673,
"loss": 0.538,
"step": 270
},
{
"epoch": 0.6,
"learning_rate": 0.00017014925373134328,
"loss": 0.6385,
"step": 280
},
{
"epoch": 0.62,
"learning_rate": 0.00016908315565031986,
"loss": 0.4637,
"step": 290
},
{
"epoch": 0.64,
"learning_rate": 0.00016801705756929638,
"loss": 0.4619,
"step": 300
},
{
"epoch": 0.64,
"eval_accuracy": 0.8852,
"eval_loss": 0.3846997916698456,
"eval_runtime": 886.5096,
"eval_samples_per_second": 2.82,
"eval_steps_per_second": 0.353,
"step": 300
},
{
"epoch": 0.66,
"learning_rate": 0.00016695095948827292,
"loss": 0.6006,
"step": 310
},
{
"epoch": 0.68,
"learning_rate": 0.00016588486140724947,
"loss": 0.4678,
"step": 320
},
{
"epoch": 0.7,
"learning_rate": 0.00016481876332622602,
"loss": 0.5459,
"step": 330
},
{
"epoch": 0.72,
"learning_rate": 0.00016375266524520257,
"loss": 0.4216,
"step": 340
},
{
"epoch": 0.75,
"learning_rate": 0.00016268656716417911,
"loss": 0.6596,
"step": 350
},
{
"epoch": 0.77,
"learning_rate": 0.00016162046908315566,
"loss": 0.6491,
"step": 360
},
{
"epoch": 0.79,
"learning_rate": 0.0001605543710021322,
"loss": 0.5269,
"step": 370
},
{
"epoch": 0.81,
"learning_rate": 0.00015948827292110876,
"loss": 0.441,
"step": 380
},
{
"epoch": 0.83,
"learning_rate": 0.0001584221748400853,
"loss": 0.4428,
"step": 390
},
{
"epoch": 0.85,
"learning_rate": 0.00015735607675906182,
"loss": 0.4205,
"step": 400
},
{
"epoch": 0.85,
"eval_accuracy": 0.864,
"eval_loss": 0.43827134370803833,
"eval_runtime": 905.4707,
"eval_samples_per_second": 2.761,
"eval_steps_per_second": 0.346,
"step": 400
},
{
"epoch": 0.87,
"learning_rate": 0.0001562899786780384,
"loss": 0.6422,
"step": 410
},
{
"epoch": 0.9,
"learning_rate": 0.00015522388059701495,
"loss": 0.4558,
"step": 420
},
{
"epoch": 0.92,
"learning_rate": 0.0001541577825159915,
"loss": 0.4575,
"step": 430
},
{
"epoch": 0.94,
"learning_rate": 0.000153091684434968,
"loss": 0.4454,
"step": 440
},
{
"epoch": 0.96,
"learning_rate": 0.00015202558635394456,
"loss": 0.4917,
"step": 450
},
{
"epoch": 0.98,
"learning_rate": 0.00015095948827292113,
"loss": 0.5301,
"step": 460
},
{
"epoch": 1.0,
"learning_rate": 0.00014989339019189766,
"loss": 0.3294,
"step": 470
},
{
"epoch": 1.02,
"learning_rate": 0.0001488272921108742,
"loss": 0.2967,
"step": 480
},
{
"epoch": 1.04,
"learning_rate": 0.00014776119402985075,
"loss": 0.3406,
"step": 490
},
{
"epoch": 1.07,
"learning_rate": 0.0001466950959488273,
"loss": 0.287,
"step": 500
},
{
"epoch": 1.07,
"eval_accuracy": 0.8992,
"eval_loss": 0.3214336931705475,
"eval_runtime": 905.5537,
"eval_samples_per_second": 2.761,
"eval_steps_per_second": 0.346,
"step": 500
},
{
"epoch": 1.09,
"learning_rate": 0.00014562899786780384,
"loss": 0.3278,
"step": 510
},
{
"epoch": 1.11,
"learning_rate": 0.0001445628997867804,
"loss": 0.2406,
"step": 520
},
{
"epoch": 1.13,
"learning_rate": 0.00014349680170575694,
"loss": 0.2839,
"step": 530
},
{
"epoch": 1.15,
"learning_rate": 0.0001424307036247335,
"loss": 0.2843,
"step": 540
},
{
"epoch": 1.17,
"learning_rate": 0.00014136460554371003,
"loss": 0.2085,
"step": 550
},
{
"epoch": 1.19,
"learning_rate": 0.00014029850746268658,
"loss": 0.2465,
"step": 560
},
{
"epoch": 1.22,
"learning_rate": 0.0001392324093816631,
"loss": 0.2444,
"step": 570
},
{
"epoch": 1.24,
"learning_rate": 0.00013816631130063965,
"loss": 0.3261,
"step": 580
},
{
"epoch": 1.26,
"learning_rate": 0.00013710021321961622,
"loss": 0.1768,
"step": 590
},
{
"epoch": 1.28,
"learning_rate": 0.00013603411513859277,
"loss": 0.2963,
"step": 600
},
{
"epoch": 1.28,
"eval_accuracy": 0.8796,
"eval_loss": 0.35504186153411865,
"eval_runtime": 901.3195,
"eval_samples_per_second": 2.774,
"eval_steps_per_second": 0.347,
"step": 600
},
{
"epoch": 1.3,
"learning_rate": 0.0001349680170575693,
"loss": 0.3221,
"step": 610
},
{
"epoch": 1.32,
"learning_rate": 0.00013390191897654584,
"loss": 0.3559,
"step": 620
},
{
"epoch": 1.34,
"learning_rate": 0.0001328358208955224,
"loss": 0.2589,
"step": 630
},
{
"epoch": 1.36,
"learning_rate": 0.00013176972281449893,
"loss": 0.317,
"step": 640
},
{
"epoch": 1.39,
"learning_rate": 0.00013070362473347548,
"loss": 0.2702,
"step": 650
},
{
"epoch": 1.41,
"learning_rate": 0.00012963752665245203,
"loss": 0.2416,
"step": 660
},
{
"epoch": 1.43,
"learning_rate": 0.00012857142857142858,
"loss": 0.3619,
"step": 670
},
{
"epoch": 1.45,
"learning_rate": 0.00012750533049040512,
"loss": 0.1777,
"step": 680
},
{
"epoch": 1.47,
"learning_rate": 0.00012643923240938167,
"loss": 0.3028,
"step": 690
},
{
"epoch": 1.49,
"learning_rate": 0.00012537313432835822,
"loss": 0.2908,
"step": 700
},
{
"epoch": 1.49,
"eval_accuracy": 0.9064,
"eval_loss": 0.3182031810283661,
"eval_runtime": 904.1865,
"eval_samples_per_second": 2.765,
"eval_steps_per_second": 0.346,
"step": 700
},
{
"epoch": 1.51,
"learning_rate": 0.00012430703624733474,
"loss": 0.236,
"step": 710
},
{
"epoch": 1.54,
"learning_rate": 0.0001232409381663113,
"loss": 0.1903,
"step": 720
},
{
"epoch": 1.56,
"learning_rate": 0.00012217484008528786,
"loss": 0.2509,
"step": 730
},
{
"epoch": 1.58,
"learning_rate": 0.00012110874200426441,
"loss": 0.3468,
"step": 740
},
{
"epoch": 1.6,
"learning_rate": 0.00012004264392324094,
"loss": 0.4192,
"step": 750
},
{
"epoch": 1.62,
"learning_rate": 0.00011897654584221749,
"loss": 0.2604,
"step": 760
},
{
"epoch": 1.64,
"learning_rate": 0.00011791044776119405,
"loss": 0.2523,
"step": 770
},
{
"epoch": 1.66,
"learning_rate": 0.00011684434968017057,
"loss": 0.169,
"step": 780
},
{
"epoch": 1.68,
"learning_rate": 0.00011577825159914713,
"loss": 0.3698,
"step": 790
},
{
"epoch": 1.71,
"learning_rate": 0.00011471215351812368,
"loss": 0.3791,
"step": 800
},
{
"epoch": 1.71,
"eval_accuracy": 0.9012,
"eval_loss": 0.30747249722480774,
"eval_runtime": 905.3757,
"eval_samples_per_second": 2.761,
"eval_steps_per_second": 0.346,
"step": 800
},
{
"epoch": 1.73,
"learning_rate": 0.00011364605543710023,
"loss": 0.4315,
"step": 810
},
{
"epoch": 1.75,
"learning_rate": 0.00011257995735607676,
"loss": 0.2439,
"step": 820
},
{
"epoch": 1.77,
"learning_rate": 0.0001115138592750533,
"loss": 0.1582,
"step": 830
},
{
"epoch": 1.79,
"learning_rate": 0.00011044776119402987,
"loss": 0.1514,
"step": 840
},
{
"epoch": 1.81,
"learning_rate": 0.00010938166311300639,
"loss": 0.302,
"step": 850
},
{
"epoch": 1.83,
"learning_rate": 0.00010831556503198295,
"loss": 0.1793,
"step": 860
},
{
"epoch": 1.86,
"learning_rate": 0.0001072494669509595,
"loss": 0.2064,
"step": 870
},
{
"epoch": 1.88,
"learning_rate": 0.00010618336886993603,
"loss": 0.1789,
"step": 880
},
{
"epoch": 1.9,
"learning_rate": 0.00010511727078891258,
"loss": 0.2323,
"step": 890
},
{
"epoch": 1.92,
"learning_rate": 0.00010405117270788914,
"loss": 0.1399,
"step": 900
},
{
"epoch": 1.92,
"eval_accuracy": 0.9108,
"eval_loss": 0.31127122044563293,
"eval_runtime": 903.7995,
"eval_samples_per_second": 2.766,
"eval_steps_per_second": 0.346,
"step": 900
},
{
"epoch": 1.94,
"learning_rate": 0.00010298507462686569,
"loss": 0.2957,
"step": 910
},
{
"epoch": 1.96,
"learning_rate": 0.00010191897654584222,
"loss": 0.2673,
"step": 920
},
{
"epoch": 1.98,
"learning_rate": 0.00010085287846481877,
"loss": 0.2396,
"step": 930
},
{
"epoch": 2.0,
"learning_rate": 9.978678038379531e-05,
"loss": 0.1854,
"step": 940
},
{
"epoch": 2.03,
"learning_rate": 9.872068230277186e-05,
"loss": 0.0911,
"step": 950
},
{
"epoch": 2.05,
"learning_rate": 9.76545842217484e-05,
"loss": 0.0954,
"step": 960
},
{
"epoch": 2.07,
"learning_rate": 9.658848614072496e-05,
"loss": 0.0634,
"step": 970
},
{
"epoch": 2.09,
"learning_rate": 9.552238805970149e-05,
"loss": 0.1001,
"step": 980
},
{
"epoch": 2.11,
"learning_rate": 9.445628997867805e-05,
"loss": 0.076,
"step": 990
},
{
"epoch": 2.13,
"learning_rate": 9.339019189765458e-05,
"loss": 0.0501,
"step": 1000
},
{
"epoch": 2.13,
"eval_accuracy": 0.9004,
"eval_loss": 0.33236250281333923,
"eval_runtime": 901.7876,
"eval_samples_per_second": 2.772,
"eval_steps_per_second": 0.347,
"step": 1000
},
{
"epoch": 2.15,
"learning_rate": 9.232409381663113e-05,
"loss": 0.1246,
"step": 1010
},
{
"epoch": 2.17,
"learning_rate": 9.125799573560768e-05,
"loss": 0.1432,
"step": 1020
},
{
"epoch": 2.2,
"learning_rate": 9.019189765458423e-05,
"loss": 0.1998,
"step": 1030
},
{
"epoch": 2.22,
"learning_rate": 8.912579957356077e-05,
"loss": 0.1226,
"step": 1040
},
{
"epoch": 2.24,
"learning_rate": 8.805970149253732e-05,
"loss": 0.0544,
"step": 1050
},
{
"epoch": 2.26,
"learning_rate": 8.699360341151387e-05,
"loss": 0.0842,
"step": 1060
},
{
"epoch": 2.28,
"learning_rate": 8.59275053304904e-05,
"loss": 0.063,
"step": 1070
},
{
"epoch": 2.3,
"learning_rate": 8.486140724946695e-05,
"loss": 0.0682,
"step": 1080
},
{
"epoch": 2.32,
"learning_rate": 8.37953091684435e-05,
"loss": 0.0897,
"step": 1090
},
{
"epoch": 2.35,
"learning_rate": 8.272921108742005e-05,
"loss": 0.0873,
"step": 1100
},
{
"epoch": 2.35,
"eval_accuracy": 0.9196,
"eval_loss": 0.28453874588012695,
"eval_runtime": 903.3406,
"eval_samples_per_second": 2.768,
"eval_steps_per_second": 0.346,
"step": 1100
},
{
"epoch": 2.37,
"learning_rate": 8.166311300639659e-05,
"loss": 0.076,
"step": 1110
},
{
"epoch": 2.39,
"learning_rate": 8.059701492537314e-05,
"loss": 0.0576,
"step": 1120
},
{
"epoch": 2.41,
"learning_rate": 7.953091684434967e-05,
"loss": 0.0622,
"step": 1130
},
{
"epoch": 2.43,
"learning_rate": 7.846481876332623e-05,
"loss": 0.0799,
"step": 1140
},
{
"epoch": 2.45,
"learning_rate": 7.739872068230277e-05,
"loss": 0.1253,
"step": 1150
},
{
"epoch": 2.47,
"learning_rate": 7.633262260127933e-05,
"loss": 0.0698,
"step": 1160
},
{
"epoch": 2.49,
"learning_rate": 7.526652452025586e-05,
"loss": 0.1532,
"step": 1170
},
{
"epoch": 2.52,
"learning_rate": 7.420042643923242e-05,
"loss": 0.1728,
"step": 1180
},
{
"epoch": 2.54,
"learning_rate": 7.313432835820896e-05,
"loss": 0.0871,
"step": 1190
},
{
"epoch": 2.56,
"learning_rate": 7.20682302771855e-05,
"loss": 0.0809,
"step": 1200
},
{
"epoch": 2.56,
"eval_accuracy": 0.9104,
"eval_loss": 0.3186958134174347,
"eval_runtime": 903.5081,
"eval_samples_per_second": 2.767,
"eval_steps_per_second": 0.346,
"step": 1200
},
{
"epoch": 2.58,
"learning_rate": 7.100213219616205e-05,
"loss": 0.1217,
"step": 1210
},
{
"epoch": 2.6,
"learning_rate": 6.993603411513859e-05,
"loss": 0.0469,
"step": 1220
},
{
"epoch": 2.62,
"learning_rate": 6.886993603411515e-05,
"loss": 0.0659,
"step": 1230
},
{
"epoch": 2.64,
"learning_rate": 6.780383795309168e-05,
"loss": 0.1019,
"step": 1240
},
{
"epoch": 2.67,
"learning_rate": 6.673773987206824e-05,
"loss": 0.046,
"step": 1250
},
{
"epoch": 2.69,
"learning_rate": 6.567164179104478e-05,
"loss": 0.0203,
"step": 1260
},
{
"epoch": 2.71,
"learning_rate": 6.460554371002132e-05,
"loss": 0.0483,
"step": 1270
},
{
"epoch": 2.73,
"learning_rate": 6.353944562899787e-05,
"loss": 0.0785,
"step": 1280
},
{
"epoch": 2.75,
"learning_rate": 6.247334754797442e-05,
"loss": 0.0358,
"step": 1290
},
{
"epoch": 2.77,
"learning_rate": 6.140724946695097e-05,
"loss": 0.0696,
"step": 1300
},
{
"epoch": 2.77,
"eval_accuracy": 0.9184,
"eval_loss": 0.3137047588825226,
"eval_runtime": 902.4586,
"eval_samples_per_second": 2.77,
"eval_steps_per_second": 0.347,
"step": 1300
},
{
"epoch": 2.79,
"learning_rate": 6.0341151385927506e-05,
"loss": 0.0716,
"step": 1310
},
{
"epoch": 2.81,
"learning_rate": 5.927505330490405e-05,
"loss": 0.0409,
"step": 1320
},
{
"epoch": 2.84,
"learning_rate": 5.82089552238806e-05,
"loss": 0.0595,
"step": 1330
},
{
"epoch": 2.86,
"learning_rate": 5.714285714285714e-05,
"loss": 0.1415,
"step": 1340
},
{
"epoch": 2.88,
"learning_rate": 5.6076759061833696e-05,
"loss": 0.1064,
"step": 1350
},
{
"epoch": 2.9,
"learning_rate": 5.5010660980810236e-05,
"loss": 0.0783,
"step": 1360
},
{
"epoch": 2.92,
"learning_rate": 5.394456289978679e-05,
"loss": 0.0889,
"step": 1370
},
{
"epoch": 2.94,
"learning_rate": 5.287846481876333e-05,
"loss": 0.1406,
"step": 1380
},
{
"epoch": 2.96,
"learning_rate": 5.181236673773987e-05,
"loss": 0.0857,
"step": 1390
},
{
"epoch": 2.99,
"learning_rate": 5.074626865671642e-05,
"loss": 0.0684,
"step": 1400
},
{
"epoch": 2.99,
"eval_accuracy": 0.9208,
"eval_loss": 0.28956088423728943,
"eval_runtime": 904.414,
"eval_samples_per_second": 2.764,
"eval_steps_per_second": 0.346,
"step": 1400
},
{
"epoch": 3.01,
"learning_rate": 4.9680170575692967e-05,
"loss": 0.038,
"step": 1410
},
{
"epoch": 3.03,
"learning_rate": 4.861407249466951e-05,
"loss": 0.0321,
"step": 1420
},
{
"epoch": 3.05,
"learning_rate": 4.7547974413646055e-05,
"loss": 0.0125,
"step": 1430
},
{
"epoch": 3.07,
"learning_rate": 4.64818763326226e-05,
"loss": 0.0197,
"step": 1440
},
{
"epoch": 3.09,
"learning_rate": 4.541577825159915e-05,
"loss": 0.0289,
"step": 1450
},
{
"epoch": 3.11,
"learning_rate": 4.43496801705757e-05,
"loss": 0.0273,
"step": 1460
},
{
"epoch": 3.13,
"learning_rate": 4.328358208955224e-05,
"loss": 0.0118,
"step": 1470
},
{
"epoch": 3.16,
"learning_rate": 4.2217484008528785e-05,
"loss": 0.0105,
"step": 1480
},
{
"epoch": 3.18,
"learning_rate": 4.115138592750533e-05,
"loss": 0.008,
"step": 1490
},
{
"epoch": 3.2,
"learning_rate": 4.008528784648188e-05,
"loss": 0.0084,
"step": 1500
},
{
"epoch": 3.2,
"eval_accuracy": 0.9308,
"eval_loss": 0.26776641607284546,
"eval_runtime": 908.0277,
"eval_samples_per_second": 2.753,
"eval_steps_per_second": 0.345,
"step": 1500
},
{
"epoch": 3.22,
"learning_rate": 3.901918976545843e-05,
"loss": 0.0076,
"step": 1510
},
{
"epoch": 3.24,
"learning_rate": 3.7953091684434974e-05,
"loss": 0.0087,
"step": 1520
},
{
"epoch": 3.26,
"learning_rate": 3.6886993603411515e-05,
"loss": 0.019,
"step": 1530
},
{
"epoch": 3.28,
"learning_rate": 3.582089552238806e-05,
"loss": 0.0182,
"step": 1540
},
{
"epoch": 3.3,
"learning_rate": 3.47547974413646e-05,
"loss": 0.0401,
"step": 1550
},
{
"epoch": 3.33,
"learning_rate": 3.368869936034115e-05,
"loss": 0.0461,
"step": 1560
},
{
"epoch": 3.35,
"learning_rate": 3.26226012793177e-05,
"loss": 0.0272,
"step": 1570
},
{
"epoch": 3.37,
"learning_rate": 3.1556503198294245e-05,
"loss": 0.0333,
"step": 1580
},
{
"epoch": 3.39,
"learning_rate": 3.0490405117270792e-05,
"loss": 0.0699,
"step": 1590
},
{
"epoch": 3.41,
"learning_rate": 2.9424307036247333e-05,
"loss": 0.0072,
"step": 1600
},
{
"epoch": 3.41,
"eval_accuracy": 0.9292,
"eval_loss": 0.2749463617801666,
"eval_runtime": 908.1664,
"eval_samples_per_second": 2.753,
"eval_steps_per_second": 0.345,
"step": 1600
},
{
"epoch": 3.43,
"learning_rate": 2.835820895522388e-05,
"loss": 0.0238,
"step": 1610
},
{
"epoch": 3.45,
"learning_rate": 2.7292110874200428e-05,
"loss": 0.0098,
"step": 1620
},
{
"epoch": 3.48,
"learning_rate": 2.6226012793176975e-05,
"loss": 0.0162,
"step": 1630
},
{
"epoch": 3.5,
"learning_rate": 2.515991471215352e-05,
"loss": 0.0075,
"step": 1640
},
{
"epoch": 3.52,
"learning_rate": 2.4093816631130063e-05,
"loss": 0.0326,
"step": 1650
},
{
"epoch": 3.54,
"learning_rate": 2.302771855010661e-05,
"loss": 0.0141,
"step": 1660
},
{
"epoch": 3.56,
"learning_rate": 2.1961620469083158e-05,
"loss": 0.0083,
"step": 1670
},
{
"epoch": 3.58,
"learning_rate": 2.0895522388059702e-05,
"loss": 0.011,
"step": 1680
},
{
"epoch": 3.6,
"learning_rate": 1.982942430703625e-05,
"loss": 0.0067,
"step": 1690
},
{
"epoch": 3.62,
"learning_rate": 1.8763326226012797e-05,
"loss": 0.0585,
"step": 1700
},
{
"epoch": 3.62,
"eval_accuracy": 0.9316,
"eval_loss": 0.2734415531158447,
"eval_runtime": 910.1726,
"eval_samples_per_second": 2.747,
"eval_steps_per_second": 0.344,
"step": 1700
},
{
"epoch": 3.65,
"learning_rate": 1.769722814498934e-05,
"loss": 0.007,
"step": 1710
},
{
"epoch": 3.67,
"learning_rate": 1.6631130063965885e-05,
"loss": 0.0061,
"step": 1720
},
{
"epoch": 3.69,
"learning_rate": 1.5565031982942432e-05,
"loss": 0.0061,
"step": 1730
},
{
"epoch": 3.71,
"learning_rate": 1.4498933901918976e-05,
"loss": 0.0159,
"step": 1740
},
{
"epoch": 3.73,
"learning_rate": 1.3432835820895523e-05,
"loss": 0.0154,
"step": 1750
},
{
"epoch": 3.75,
"learning_rate": 1.2366737739872069e-05,
"loss": 0.0071,
"step": 1760
},
{
"epoch": 3.77,
"learning_rate": 1.1300639658848615e-05,
"loss": 0.0067,
"step": 1770
},
{
"epoch": 3.8,
"learning_rate": 1.023454157782516e-05,
"loss": 0.0387,
"step": 1780
},
{
"epoch": 3.82,
"learning_rate": 9.168443496801706e-06,
"loss": 0.0492,
"step": 1790
},
{
"epoch": 3.84,
"learning_rate": 8.102345415778252e-06,
"loss": 0.0152,
"step": 1800
},
{
"epoch": 3.84,
"eval_accuracy": 0.9332,
"eval_loss": 0.26903361082077026,
"eval_runtime": 906.1705,
"eval_samples_per_second": 2.759,
"eval_steps_per_second": 0.345,
"step": 1800
},
{
"epoch": 3.86,
"learning_rate": 7.0362473347547975e-06,
"loss": 0.0054,
"step": 1810
},
{
"epoch": 3.88,
"learning_rate": 5.970149253731343e-06,
"loss": 0.006,
"step": 1820
},
{
"epoch": 3.9,
"learning_rate": 4.90405117270789e-06,
"loss": 0.0257,
"step": 1830
},
{
"epoch": 3.92,
"learning_rate": 3.837953091684435e-06,
"loss": 0.0076,
"step": 1840
},
{
"epoch": 3.94,
"learning_rate": 2.771855010660981e-06,
"loss": 0.0055,
"step": 1850
},
{
"epoch": 3.97,
"learning_rate": 1.7057569296375267e-06,
"loss": 0.0064,
"step": 1860
},
{
"epoch": 3.99,
"learning_rate": 6.396588486140725e-07,
"loss": 0.0054,
"step": 1870
},
{
"epoch": 4.0,
"step": 1876,
"total_flos": 0.0,
"train_loss": 0.2672756195687917,
"train_runtime": 47803.3846,
"train_samples_per_second": 0.628,
"train_steps_per_second": 0.039
}
],
"max_steps": 1876,
"num_train_epochs": 4,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}