swiftformer-xs-ve-U13-b-80 / trainer_state.json
Augusto777's picture
End of training
4334b49 verified
raw
history blame
31.7 kB
{
"best_metric": 0.8478260869565217,
"best_model_checkpoint": "swiftformer-xs-ve-U13-b-80\\checkpoint-175",
"epoch": 92.3076923076923,
"eval_steps": 500,
"global_step": 600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.92,
"eval_accuracy": 0.2391304347826087,
"eval_loss": 1.385766863822937,
"eval_runtime": 0.6016,
"eval_samples_per_second": 76.463,
"eval_steps_per_second": 3.324,
"step": 6
},
{
"epoch": 1.54,
"learning_rate": 4.9999999999999996e-05,
"loss": 1.3856,
"step": 10
},
{
"epoch": 2.0,
"eval_accuracy": 0.2826086956521739,
"eval_loss": 1.382806420326233,
"eval_runtime": 0.5574,
"eval_samples_per_second": 82.519,
"eval_steps_per_second": 3.588,
"step": 13
},
{
"epoch": 2.92,
"eval_accuracy": 0.1956521739130435,
"eval_loss": 1.3768857717514038,
"eval_runtime": 0.5369,
"eval_samples_per_second": 85.684,
"eval_steps_per_second": 3.725,
"step": 19
},
{
"epoch": 3.08,
"learning_rate": 9.999999999999999e-05,
"loss": 1.3734,
"step": 20
},
{
"epoch": 4.0,
"eval_accuracy": 0.13043478260869565,
"eval_loss": 1.3624433279037476,
"eval_runtime": 0.5605,
"eval_samples_per_second": 82.064,
"eval_steps_per_second": 3.568,
"step": 26
},
{
"epoch": 4.62,
"learning_rate": 0.00015,
"loss": 1.2978,
"step": 30
},
{
"epoch": 4.92,
"eval_accuracy": 0.15217391304347827,
"eval_loss": 1.3553236722946167,
"eval_runtime": 0.5527,
"eval_samples_per_second": 83.233,
"eval_steps_per_second": 3.619,
"step": 32
},
{
"epoch": 6.0,
"eval_accuracy": 0.08695652173913043,
"eval_loss": 1.412070870399475,
"eval_runtime": 0.5682,
"eval_samples_per_second": 80.963,
"eval_steps_per_second": 3.52,
"step": 39
},
{
"epoch": 6.15,
"learning_rate": 0.00019999999999999998,
"loss": 1.1702,
"step": 40
},
{
"epoch": 6.92,
"eval_accuracy": 0.2391304347826087,
"eval_loss": 1.3719676733016968,
"eval_runtime": 0.5522,
"eval_samples_per_second": 83.302,
"eval_steps_per_second": 3.622,
"step": 45
},
{
"epoch": 7.69,
"learning_rate": 0.00025,
"loss": 1.0743,
"step": 50
},
{
"epoch": 8.0,
"eval_accuracy": 0.34782608695652173,
"eval_loss": 1.3162317276000977,
"eval_runtime": 0.5693,
"eval_samples_per_second": 80.8,
"eval_steps_per_second": 3.513,
"step": 52
},
{
"epoch": 8.92,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.2251616716384888,
"eval_runtime": 0.6192,
"eval_samples_per_second": 74.295,
"eval_steps_per_second": 3.23,
"step": 58
},
{
"epoch": 9.23,
"learning_rate": 0.0003,
"loss": 0.9504,
"step": 60
},
{
"epoch": 10.0,
"eval_accuracy": 0.43478260869565216,
"eval_loss": 1.168912649154663,
"eval_runtime": 0.6842,
"eval_samples_per_second": 67.23,
"eval_steps_per_second": 2.923,
"step": 65
},
{
"epoch": 10.77,
"learning_rate": 0.00029444444444444445,
"loss": 0.8305,
"step": 70
},
{
"epoch": 10.92,
"eval_accuracy": 0.5869565217391305,
"eval_loss": 1.0516129732131958,
"eval_runtime": 0.5642,
"eval_samples_per_second": 81.528,
"eval_steps_per_second": 3.545,
"step": 71
},
{
"epoch": 12.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.9548317193984985,
"eval_runtime": 0.5661,
"eval_samples_per_second": 81.254,
"eval_steps_per_second": 3.533,
"step": 78
},
{
"epoch": 12.31,
"learning_rate": 0.0002888888888888888,
"loss": 0.7374,
"step": 80
},
{
"epoch": 12.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9137820601463318,
"eval_runtime": 0.5482,
"eval_samples_per_second": 83.916,
"eval_steps_per_second": 3.649,
"step": 84
},
{
"epoch": 13.85,
"learning_rate": 0.0002833333333333333,
"loss": 0.6207,
"step": 90
},
{
"epoch": 14.0,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.9353066086769104,
"eval_runtime": 0.5551,
"eval_samples_per_second": 82.864,
"eval_steps_per_second": 3.603,
"step": 91
},
{
"epoch": 14.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.8639649152755737,
"eval_runtime": 0.5605,
"eval_samples_per_second": 82.076,
"eval_steps_per_second": 3.569,
"step": 97
},
{
"epoch": 15.38,
"learning_rate": 0.0002777777777777778,
"loss": 0.5184,
"step": 100
},
{
"epoch": 16.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8121959567070007,
"eval_runtime": 0.5575,
"eval_samples_per_second": 82.517,
"eval_steps_per_second": 3.588,
"step": 104
},
{
"epoch": 16.92,
"learning_rate": 0.0002722222222222222,
"loss": 0.4606,
"step": 110
},
{
"epoch": 16.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7136393189430237,
"eval_runtime": 0.5537,
"eval_samples_per_second": 83.08,
"eval_steps_per_second": 3.612,
"step": 110
},
{
"epoch": 18.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7955167293548584,
"eval_runtime": 0.5778,
"eval_samples_per_second": 79.616,
"eval_steps_per_second": 3.462,
"step": 117
},
{
"epoch": 18.46,
"learning_rate": 0.0002666666666666666,
"loss": 0.4332,
"step": 120
},
{
"epoch": 18.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.7789567112922668,
"eval_runtime": 0.5435,
"eval_samples_per_second": 84.632,
"eval_steps_per_second": 3.68,
"step": 123
},
{
"epoch": 20.0,
"learning_rate": 0.0002611111111111111,
"loss": 0.3315,
"step": 130
},
{
"epoch": 20.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8116961717605591,
"eval_runtime": 0.6158,
"eval_samples_per_second": 74.701,
"eval_steps_per_second": 3.248,
"step": 130
},
{
"epoch": 20.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8068195581436157,
"eval_runtime": 0.5397,
"eval_samples_per_second": 85.24,
"eval_steps_per_second": 3.706,
"step": 136
},
{
"epoch": 21.54,
"learning_rate": 0.00025555555555555553,
"loss": 0.3229,
"step": 140
},
{
"epoch": 22.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8786293268203735,
"eval_runtime": 0.5594,
"eval_samples_per_second": 82.233,
"eval_steps_per_second": 3.575,
"step": 143
},
{
"epoch": 22.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9029754996299744,
"eval_runtime": 0.5517,
"eval_samples_per_second": 83.385,
"eval_steps_per_second": 3.625,
"step": 149
},
{
"epoch": 23.08,
"learning_rate": 0.00025,
"loss": 0.3065,
"step": 150
},
{
"epoch": 24.0,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.8253074884414673,
"eval_runtime": 0.578,
"eval_samples_per_second": 79.588,
"eval_steps_per_second": 3.46,
"step": 156
},
{
"epoch": 24.62,
"learning_rate": 0.00024444444444444443,
"loss": 0.2315,
"step": 160
},
{
"epoch": 24.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.739804208278656,
"eval_runtime": 0.5608,
"eval_samples_per_second": 82.024,
"eval_steps_per_second": 3.566,
"step": 162
},
{
"epoch": 26.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7938594222068787,
"eval_runtime": 0.5501,
"eval_samples_per_second": 83.615,
"eval_steps_per_second": 3.635,
"step": 169
},
{
"epoch": 26.15,
"learning_rate": 0.00023888888888888885,
"loss": 0.222,
"step": 170
},
{
"epoch": 26.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6640377044677734,
"eval_runtime": 0.5452,
"eval_samples_per_second": 84.37,
"eval_steps_per_second": 3.668,
"step": 175
},
{
"epoch": 27.69,
"learning_rate": 0.0002333333333333333,
"loss": 0.1756,
"step": 180
},
{
"epoch": 28.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.850994348526001,
"eval_runtime": 0.5442,
"eval_samples_per_second": 84.525,
"eval_steps_per_second": 3.675,
"step": 182
},
{
"epoch": 28.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9861403107643127,
"eval_runtime": 0.5468,
"eval_samples_per_second": 84.118,
"eval_steps_per_second": 3.657,
"step": 188
},
{
"epoch": 29.23,
"learning_rate": 0.00022777777777777778,
"loss": 0.1702,
"step": 190
},
{
"epoch": 30.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 1.1060209274291992,
"eval_runtime": 0.5662,
"eval_samples_per_second": 81.238,
"eval_steps_per_second": 3.532,
"step": 195
},
{
"epoch": 30.77,
"learning_rate": 0.00022222222222222218,
"loss": 0.202,
"step": 200
},
{
"epoch": 30.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0928934812545776,
"eval_runtime": 0.5568,
"eval_samples_per_second": 82.617,
"eval_steps_per_second": 3.592,
"step": 201
},
{
"epoch": 32.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8670152425765991,
"eval_runtime": 0.5807,
"eval_samples_per_second": 79.209,
"eval_steps_per_second": 3.444,
"step": 208
},
{
"epoch": 32.31,
"learning_rate": 0.00021666666666666666,
"loss": 0.1665,
"step": 210
},
{
"epoch": 32.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8032902479171753,
"eval_runtime": 0.5451,
"eval_samples_per_second": 84.381,
"eval_steps_per_second": 3.669,
"step": 214
},
{
"epoch": 33.85,
"learning_rate": 0.0002111111111111111,
"loss": 0.1695,
"step": 220
},
{
"epoch": 34.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7234715819358826,
"eval_runtime": 0.5632,
"eval_samples_per_second": 81.673,
"eval_steps_per_second": 3.551,
"step": 221
},
{
"epoch": 34.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8916966915130615,
"eval_runtime": 0.5518,
"eval_samples_per_second": 83.363,
"eval_steps_per_second": 3.624,
"step": 227
},
{
"epoch": 35.38,
"learning_rate": 0.00020555555555555556,
"loss": 0.1807,
"step": 230
},
{
"epoch": 36.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9215289950370789,
"eval_runtime": 0.5536,
"eval_samples_per_second": 83.099,
"eval_steps_per_second": 3.613,
"step": 234
},
{
"epoch": 36.92,
"learning_rate": 0.00019999999999999998,
"loss": 0.1289,
"step": 240
},
{
"epoch": 36.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8231099247932434,
"eval_runtime": 0.5624,
"eval_samples_per_second": 81.787,
"eval_steps_per_second": 3.556,
"step": 240
},
{
"epoch": 38.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.9255649447441101,
"eval_runtime": 0.5579,
"eval_samples_per_second": 82.459,
"eval_steps_per_second": 3.585,
"step": 247
},
{
"epoch": 38.46,
"learning_rate": 0.00019444444444444443,
"loss": 0.145,
"step": 250
},
{
"epoch": 38.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8866252303123474,
"eval_runtime": 0.5578,
"eval_samples_per_second": 82.469,
"eval_steps_per_second": 3.586,
"step": 253
},
{
"epoch": 40.0,
"learning_rate": 0.00018888888888888888,
"loss": 0.1422,
"step": 260
},
{
"epoch": 40.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.8511058688163757,
"eval_runtime": 0.5658,
"eval_samples_per_second": 81.305,
"eval_steps_per_second": 3.535,
"step": 260
},
{
"epoch": 40.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9955706596374512,
"eval_runtime": 0.5459,
"eval_samples_per_second": 84.265,
"eval_steps_per_second": 3.664,
"step": 266
},
{
"epoch": 41.54,
"learning_rate": 0.00018333333333333334,
"loss": 0.1313,
"step": 270
},
{
"epoch": 42.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.3004724979400635,
"eval_runtime": 0.5565,
"eval_samples_per_second": 82.654,
"eval_steps_per_second": 3.594,
"step": 273
},
{
"epoch": 42.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 1.1531860828399658,
"eval_runtime": 0.5577,
"eval_samples_per_second": 82.479,
"eval_steps_per_second": 3.586,
"step": 279
},
{
"epoch": 43.08,
"learning_rate": 0.00017777777777777776,
"loss": 0.1128,
"step": 280
},
{
"epoch": 44.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0891470909118652,
"eval_runtime": 0.5553,
"eval_samples_per_second": 82.842,
"eval_steps_per_second": 3.602,
"step": 286
},
{
"epoch": 44.62,
"learning_rate": 0.0001722222222222222,
"loss": 0.1213,
"step": 290
},
{
"epoch": 44.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0764859914779663,
"eval_runtime": 0.5645,
"eval_samples_per_second": 81.483,
"eval_steps_per_second": 3.543,
"step": 292
},
{
"epoch": 46.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9141591191291809,
"eval_runtime": 0.5767,
"eval_samples_per_second": 79.768,
"eval_steps_per_second": 3.468,
"step": 299
},
{
"epoch": 46.15,
"learning_rate": 0.00016666666666666666,
"loss": 0.1161,
"step": 300
},
{
"epoch": 46.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.909971296787262,
"eval_runtime": 0.5553,
"eval_samples_per_second": 82.834,
"eval_steps_per_second": 3.601,
"step": 305
},
{
"epoch": 47.69,
"learning_rate": 0.0001611111111111111,
"loss": 0.1123,
"step": 310
},
{
"epoch": 48.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8906996250152588,
"eval_runtime": 0.545,
"eval_samples_per_second": 84.409,
"eval_steps_per_second": 3.67,
"step": 312
},
{
"epoch": 48.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.9461659789085388,
"eval_runtime": 0.5617,
"eval_samples_per_second": 81.888,
"eval_steps_per_second": 3.56,
"step": 318
},
{
"epoch": 49.23,
"learning_rate": 0.00015555555555555554,
"loss": 0.1107,
"step": 320
},
{
"epoch": 50.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8591524958610535,
"eval_runtime": 0.5836,
"eval_samples_per_second": 78.822,
"eval_steps_per_second": 3.427,
"step": 325
},
{
"epoch": 50.77,
"learning_rate": 0.00015,
"loss": 0.0915,
"step": 330
},
{
"epoch": 50.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.9894090890884399,
"eval_runtime": 0.5586,
"eval_samples_per_second": 82.348,
"eval_steps_per_second": 3.58,
"step": 331
},
{
"epoch": 52.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 1.1094378232955933,
"eval_runtime": 0.5369,
"eval_samples_per_second": 85.67,
"eval_steps_per_second": 3.725,
"step": 338
},
{
"epoch": 52.31,
"learning_rate": 0.0001444444444444444,
"loss": 0.0981,
"step": 340
},
{
"epoch": 52.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 1.1955540180206299,
"eval_runtime": 0.5652,
"eval_samples_per_second": 81.388,
"eval_steps_per_second": 3.539,
"step": 344
},
{
"epoch": 53.85,
"learning_rate": 0.0001388888888888889,
"loss": 0.0762,
"step": 350
},
{
"epoch": 54.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 1.0078867673873901,
"eval_runtime": 0.5486,
"eval_samples_per_second": 83.844,
"eval_steps_per_second": 3.645,
"step": 351
},
{
"epoch": 54.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.9898611307144165,
"eval_runtime": 0.5586,
"eval_samples_per_second": 82.345,
"eval_steps_per_second": 3.58,
"step": 357
},
{
"epoch": 55.38,
"learning_rate": 0.0001333333333333333,
"loss": 0.1083,
"step": 360
},
{
"epoch": 56.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.9164445996284485,
"eval_runtime": 0.5694,
"eval_samples_per_second": 80.79,
"eval_steps_per_second": 3.513,
"step": 364
},
{
"epoch": 56.92,
"learning_rate": 0.00012777777777777776,
"loss": 0.1087,
"step": 370
},
{
"epoch": 56.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.9263260960578918,
"eval_runtime": 0.567,
"eval_samples_per_second": 81.133,
"eval_steps_per_second": 3.528,
"step": 370
},
{
"epoch": 58.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9160030484199524,
"eval_runtime": 0.6023,
"eval_samples_per_second": 76.371,
"eval_steps_per_second": 3.32,
"step": 377
},
{
"epoch": 58.46,
"learning_rate": 0.00012222222222222221,
"loss": 0.0871,
"step": 380
},
{
"epoch": 58.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.0178961753845215,
"eval_runtime": 0.5547,
"eval_samples_per_second": 82.923,
"eval_steps_per_second": 3.605,
"step": 383
},
{
"epoch": 60.0,
"learning_rate": 0.00011666666666666665,
"loss": 0.0852,
"step": 390
},
{
"epoch": 60.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9246215224266052,
"eval_runtime": 0.5641,
"eval_samples_per_second": 81.551,
"eval_steps_per_second": 3.546,
"step": 390
},
{
"epoch": 60.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8928539156913757,
"eval_runtime": 0.5647,
"eval_samples_per_second": 81.457,
"eval_steps_per_second": 3.542,
"step": 396
},
{
"epoch": 61.54,
"learning_rate": 0.00011111111111111109,
"loss": 0.0613,
"step": 400
},
{
"epoch": 62.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9988526105880737,
"eval_runtime": 0.5653,
"eval_samples_per_second": 81.37,
"eval_steps_per_second": 3.538,
"step": 403
},
{
"epoch": 62.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.0367439985275269,
"eval_runtime": 0.5583,
"eval_samples_per_second": 82.397,
"eval_steps_per_second": 3.582,
"step": 409
},
{
"epoch": 63.08,
"learning_rate": 0.00010555555555555555,
"loss": 0.0899,
"step": 410
},
{
"epoch": 64.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.1212767362594604,
"eval_runtime": 0.6169,
"eval_samples_per_second": 74.561,
"eval_steps_per_second": 3.242,
"step": 416
},
{
"epoch": 64.62,
"learning_rate": 9.999999999999999e-05,
"loss": 0.0669,
"step": 420
},
{
"epoch": 64.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 1.0092602968215942,
"eval_runtime": 0.5458,
"eval_samples_per_second": 84.281,
"eval_steps_per_second": 3.664,
"step": 422
},
{
"epoch": 66.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0128601789474487,
"eval_runtime": 0.5653,
"eval_samples_per_second": 81.375,
"eval_steps_per_second": 3.538,
"step": 429
},
{
"epoch": 66.15,
"learning_rate": 9.444444444444444e-05,
"loss": 0.0791,
"step": 430
},
{
"epoch": 66.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9979057908058167,
"eval_runtime": 0.5593,
"eval_samples_per_second": 82.241,
"eval_steps_per_second": 3.576,
"step": 435
},
{
"epoch": 67.69,
"learning_rate": 8.888888888888888e-05,
"loss": 0.0848,
"step": 440
},
{
"epoch": 68.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0137319564819336,
"eval_runtime": 0.5679,
"eval_samples_per_second": 81.003,
"eval_steps_per_second": 3.522,
"step": 442
},
{
"epoch": 68.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.0760867595672607,
"eval_runtime": 0.5572,
"eval_samples_per_second": 82.55,
"eval_steps_per_second": 3.589,
"step": 448
},
{
"epoch": 69.23,
"learning_rate": 8.333333333333333e-05,
"loss": 0.0799,
"step": 450
},
{
"epoch": 70.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.0152040719985962,
"eval_runtime": 0.56,
"eval_samples_per_second": 82.145,
"eval_steps_per_second": 3.572,
"step": 455
},
{
"epoch": 70.77,
"learning_rate": 7.777777777777777e-05,
"loss": 0.0727,
"step": 460
},
{
"epoch": 70.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.130175232887268,
"eval_runtime": 0.5554,
"eval_samples_per_second": 82.818,
"eval_steps_per_second": 3.601,
"step": 461
},
{
"epoch": 72.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.046817421913147,
"eval_runtime": 0.5592,
"eval_samples_per_second": 82.253,
"eval_steps_per_second": 3.576,
"step": 468
},
{
"epoch": 72.31,
"learning_rate": 7.22222222222222e-05,
"loss": 0.0763,
"step": 470
},
{
"epoch": 72.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 1.0759297609329224,
"eval_runtime": 0.5607,
"eval_samples_per_second": 82.046,
"eval_steps_per_second": 3.567,
"step": 474
},
{
"epoch": 73.85,
"learning_rate": 6.666666666666666e-05,
"loss": 0.06,
"step": 480
},
{
"epoch": 74.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.0803240537643433,
"eval_runtime": 0.553,
"eval_samples_per_second": 83.183,
"eval_steps_per_second": 3.617,
"step": 481
},
{
"epoch": 74.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.0483999252319336,
"eval_runtime": 0.5749,
"eval_samples_per_second": 80.02,
"eval_steps_per_second": 3.479,
"step": 487
},
{
"epoch": 75.38,
"learning_rate": 6.111111111111111e-05,
"loss": 0.0746,
"step": 490
},
{
"epoch": 76.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.999907374382019,
"eval_runtime": 0.6218,
"eval_samples_per_second": 73.983,
"eval_steps_per_second": 3.217,
"step": 494
},
{
"epoch": 76.92,
"learning_rate": 5.5555555555555545e-05,
"loss": 0.0687,
"step": 500
},
{
"epoch": 76.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.993706226348877,
"eval_runtime": 0.5757,
"eval_samples_per_second": 79.899,
"eval_steps_per_second": 3.474,
"step": 500
},
{
"epoch": 78.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.1188522577285767,
"eval_runtime": 0.5575,
"eval_samples_per_second": 82.513,
"eval_steps_per_second": 3.588,
"step": 507
},
{
"epoch": 78.46,
"learning_rate": 4.9999999999999996e-05,
"loss": 0.0761,
"step": 510
},
{
"epoch": 78.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.1013031005859375,
"eval_runtime": 0.6076,
"eval_samples_per_second": 75.709,
"eval_steps_per_second": 3.292,
"step": 513
},
{
"epoch": 80.0,
"learning_rate": 4.444444444444444e-05,
"loss": 0.0729,
"step": 520
},
{
"epoch": 80.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.029362678527832,
"eval_runtime": 0.5744,
"eval_samples_per_second": 80.09,
"eval_steps_per_second": 3.482,
"step": 520
},
{
"epoch": 80.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.0859981775283813,
"eval_runtime": 0.5737,
"eval_samples_per_second": 80.176,
"eval_steps_per_second": 3.486,
"step": 526
},
{
"epoch": 81.54,
"learning_rate": 3.8888888888888884e-05,
"loss": 0.0472,
"step": 530
},
{
"epoch": 82.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.03272545337677,
"eval_runtime": 0.5693,
"eval_samples_per_second": 80.807,
"eval_steps_per_second": 3.513,
"step": 533
},
{
"epoch": 82.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.0224952697753906,
"eval_runtime": 0.5731,
"eval_samples_per_second": 80.269,
"eval_steps_per_second": 3.49,
"step": 539
},
{
"epoch": 83.08,
"learning_rate": 3.333333333333333e-05,
"loss": 0.0519,
"step": 540
},
{
"epoch": 84.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.1345374584197998,
"eval_runtime": 0.5627,
"eval_samples_per_second": 81.748,
"eval_steps_per_second": 3.554,
"step": 546
},
{
"epoch": 84.62,
"learning_rate": 2.7777777777777772e-05,
"loss": 0.0688,
"step": 550
},
{
"epoch": 84.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.092256784439087,
"eval_runtime": 0.577,
"eval_samples_per_second": 79.728,
"eval_steps_per_second": 3.466,
"step": 552
},
{
"epoch": 86.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.087559700012207,
"eval_runtime": 0.5661,
"eval_samples_per_second": 81.256,
"eval_steps_per_second": 3.533,
"step": 559
},
{
"epoch": 86.15,
"learning_rate": 2.222222222222222e-05,
"loss": 0.0462,
"step": 560
},
{
"epoch": 86.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.0740270614624023,
"eval_runtime": 0.6474,
"eval_samples_per_second": 71.049,
"eval_steps_per_second": 3.089,
"step": 565
},
{
"epoch": 87.69,
"learning_rate": 1.6666666666666664e-05,
"loss": 0.0457,
"step": 570
},
{
"epoch": 88.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.1073704957962036,
"eval_runtime": 0.5747,
"eval_samples_per_second": 80.036,
"eval_steps_per_second": 3.48,
"step": 572
},
{
"epoch": 88.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.077661395072937,
"eval_runtime": 0.5678,
"eval_samples_per_second": 81.01,
"eval_steps_per_second": 3.522,
"step": 578
},
{
"epoch": 89.23,
"learning_rate": 1.111111111111111e-05,
"loss": 0.0482,
"step": 580
},
{
"epoch": 90.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 1.0495113134384155,
"eval_runtime": 0.5757,
"eval_samples_per_second": 79.909,
"eval_steps_per_second": 3.474,
"step": 585
},
{
"epoch": 90.77,
"learning_rate": 5.555555555555555e-06,
"loss": 0.0464,
"step": 590
},
{
"epoch": 90.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.039515495300293,
"eval_runtime": 0.5732,
"eval_samples_per_second": 80.246,
"eval_steps_per_second": 3.489,
"step": 591
},
{
"epoch": 92.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 1.1445815563201904,
"eval_runtime": 0.5643,
"eval_samples_per_second": 81.522,
"eval_steps_per_second": 3.544,
"step": 598
},
{
"epoch": 92.31,
"learning_rate": 0.0,
"loss": 0.0578,
"step": 600
},
{
"epoch": 92.31,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 1.0596117973327637,
"eval_runtime": 0.6055,
"eval_samples_per_second": 75.965,
"eval_steps_per_second": 3.303,
"step": 600
},
{
"epoch": 92.31,
"step": 600,
"total_flos": 2.072479896260444e+17,
"train_loss": 0.2747100231051445,
"train_runtime": 347.4081,
"train_samples_per_second": 235.746,
"train_steps_per_second": 1.727
}
],
"logging_steps": 10,
"max_steps": 600,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"total_flos": 2.072479896260444e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}