|
{
|
|
"best_metric": 0.8695652173913043,
|
|
"best_model_checkpoint": "swiftformer-xs-ve-U13-b-80\\checkpoint-175",
|
|
"epoch": 73.84615384615384,
|
|
"eval_steps": 500,
|
|
"global_step": 480,
|
|
"is_hyper_param_search": false,
|
|
"is_local_process_zero": true,
|
|
"is_world_process_zero": true,
|
|
"log_history": [
|
|
{
|
|
"epoch": 0.92,
|
|
"eval_accuracy": 0.10869565217391304,
|
|
"eval_loss": 1.4460796117782593,
|
|
"eval_runtime": 0.7125,
|
|
"eval_samples_per_second": 64.563,
|
|
"eval_steps_per_second": 2.807,
|
|
"step": 6
|
|
},
|
|
{
|
|
"epoch": 1.54,
|
|
"learning_rate": 4.166666666666667e-05,
|
|
"loss": 1.3993,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 2.0,
|
|
"eval_accuracy": 0.10869565217391304,
|
|
"eval_loss": 1.4435073137283325,
|
|
"eval_runtime": 0.6148,
|
|
"eval_samples_per_second": 74.823,
|
|
"eval_steps_per_second": 3.253,
|
|
"step": 13
|
|
},
|
|
{
|
|
"epoch": 2.92,
|
|
"eval_accuracy": 0.10869565217391304,
|
|
"eval_loss": 1.4388779401779175,
|
|
"eval_runtime": 0.6122,
|
|
"eval_samples_per_second": 75.137,
|
|
"eval_steps_per_second": 3.267,
|
|
"step": 19
|
|
},
|
|
{
|
|
"epoch": 3.08,
|
|
"learning_rate": 8.333333333333334e-05,
|
|
"loss": 1.3849,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 4.0,
|
|
"eval_accuracy": 0.10869565217391304,
|
|
"eval_loss": 1.4283998012542725,
|
|
"eval_runtime": 0.6101,
|
|
"eval_samples_per_second": 75.4,
|
|
"eval_steps_per_second": 3.278,
|
|
"step": 26
|
|
},
|
|
{
|
|
"epoch": 4.62,
|
|
"learning_rate": 0.000125,
|
|
"loss": 1.3287,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 4.92,
|
|
"eval_accuracy": 0.13043478260869565,
|
|
"eval_loss": 1.4222790002822876,
|
|
"eval_runtime": 0.6169,
|
|
"eval_samples_per_second": 74.563,
|
|
"eval_steps_per_second": 3.242,
|
|
"step": 32
|
|
},
|
|
{
|
|
"epoch": 6.0,
|
|
"eval_accuracy": 0.10869565217391304,
|
|
"eval_loss": 1.4646577835083008,
|
|
"eval_runtime": 0.6082,
|
|
"eval_samples_per_second": 75.638,
|
|
"eval_steps_per_second": 3.289,
|
|
"step": 39
|
|
},
|
|
{
|
|
"epoch": 6.15,
|
|
"learning_rate": 0.0001666666666666667,
|
|
"loss": 1.2128,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 6.92,
|
|
"eval_accuracy": 0.17391304347826086,
|
|
"eval_loss": 1.4183566570281982,
|
|
"eval_runtime": 0.64,
|
|
"eval_samples_per_second": 71.878,
|
|
"eval_steps_per_second": 3.125,
|
|
"step": 45
|
|
},
|
|
{
|
|
"epoch": 7.69,
|
|
"learning_rate": 0.0001990740740740741,
|
|
"loss": 1.122,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 8.0,
|
|
"eval_accuracy": 0.1956521739130435,
|
|
"eval_loss": 1.3262405395507812,
|
|
"eval_runtime": 0.6384,
|
|
"eval_samples_per_second": 72.055,
|
|
"eval_steps_per_second": 3.133,
|
|
"step": 52
|
|
},
|
|
{
|
|
"epoch": 8.92,
|
|
"eval_accuracy": 0.1956521739130435,
|
|
"eval_loss": 1.3297909498214722,
|
|
"eval_runtime": 0.5935,
|
|
"eval_samples_per_second": 77.507,
|
|
"eval_steps_per_second": 3.37,
|
|
"step": 58
|
|
},
|
|
{
|
|
"epoch": 9.23,
|
|
"learning_rate": 0.00019444444444444446,
|
|
"loss": 1.0062,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 10.0,
|
|
"eval_accuracy": 0.3695652173913043,
|
|
"eval_loss": 1.2035472393035889,
|
|
"eval_runtime": 0.5924,
|
|
"eval_samples_per_second": 77.654,
|
|
"eval_steps_per_second": 3.376,
|
|
"step": 65
|
|
},
|
|
{
|
|
"epoch": 10.77,
|
|
"learning_rate": 0.00018981481481481483,
|
|
"loss": 0.872,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 10.92,
|
|
"eval_accuracy": 0.32608695652173914,
|
|
"eval_loss": 1.3667021989822388,
|
|
"eval_runtime": 0.6186,
|
|
"eval_samples_per_second": 74.367,
|
|
"eval_steps_per_second": 3.233,
|
|
"step": 71
|
|
},
|
|
{
|
|
"epoch": 12.0,
|
|
"eval_accuracy": 0.43478260869565216,
|
|
"eval_loss": 1.201258897781372,
|
|
"eval_runtime": 0.6083,
|
|
"eval_samples_per_second": 75.623,
|
|
"eval_steps_per_second": 3.288,
|
|
"step": 78
|
|
},
|
|
{
|
|
"epoch": 12.31,
|
|
"learning_rate": 0.0001851851851851852,
|
|
"loss": 0.814,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 12.92,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.9996185898780823,
|
|
"eval_runtime": 0.6063,
|
|
"eval_samples_per_second": 75.874,
|
|
"eval_steps_per_second": 3.299,
|
|
"step": 84
|
|
},
|
|
{
|
|
"epoch": 13.85,
|
|
"learning_rate": 0.00018055555555555557,
|
|
"loss": 0.7228,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 14.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.9706003069877625,
|
|
"eval_runtime": 0.6069,
|
|
"eval_samples_per_second": 75.799,
|
|
"eval_steps_per_second": 3.296,
|
|
"step": 91
|
|
},
|
|
{
|
|
"epoch": 14.92,
|
|
"eval_accuracy": 0.7391304347826086,
|
|
"eval_loss": 0.9295421242713928,
|
|
"eval_runtime": 0.6331,
|
|
"eval_samples_per_second": 72.657,
|
|
"eval_steps_per_second": 3.159,
|
|
"step": 97
|
|
},
|
|
{
|
|
"epoch": 15.38,
|
|
"learning_rate": 0.00017592592592592595,
|
|
"loss": 0.6473,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 16.0,
|
|
"eval_accuracy": 0.717391304347826,
|
|
"eval_loss": 0.8987626433372498,
|
|
"eval_runtime": 0.607,
|
|
"eval_samples_per_second": 75.787,
|
|
"eval_steps_per_second": 3.295,
|
|
"step": 104
|
|
},
|
|
{
|
|
"epoch": 16.92,
|
|
"learning_rate": 0.00017129629629629632,
|
|
"loss": 0.5696,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 16.92,
|
|
"eval_accuracy": 0.6739130434782609,
|
|
"eval_loss": 0.9612070322036743,
|
|
"eval_runtime": 0.6266,
|
|
"eval_samples_per_second": 73.408,
|
|
"eval_steps_per_second": 3.192,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 18.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.8712936043739319,
|
|
"eval_runtime": 0.5923,
|
|
"eval_samples_per_second": 77.662,
|
|
"eval_steps_per_second": 3.377,
|
|
"step": 117
|
|
},
|
|
{
|
|
"epoch": 18.46,
|
|
"learning_rate": 0.0001666666666666667,
|
|
"loss": 0.5546,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 18.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.8049858212471008,
|
|
"eval_runtime": 0.6052,
|
|
"eval_samples_per_second": 76.002,
|
|
"eval_steps_per_second": 3.304,
|
|
"step": 123
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"learning_rate": 0.00016203703703703706,
|
|
"loss": 0.4747,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7724586129188538,
|
|
"eval_runtime": 0.5976,
|
|
"eval_samples_per_second": 76.969,
|
|
"eval_steps_per_second": 3.346,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 20.92,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.7933102250099182,
|
|
"eval_runtime": 0.5936,
|
|
"eval_samples_per_second": 77.487,
|
|
"eval_steps_per_second": 3.369,
|
|
"step": 136
|
|
},
|
|
{
|
|
"epoch": 21.54,
|
|
"learning_rate": 0.00015740740740740743,
|
|
"loss": 0.4393,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 22.0,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.7665086984634399,
|
|
"eval_runtime": 0.6062,
|
|
"eval_samples_per_second": 75.883,
|
|
"eval_steps_per_second": 3.299,
|
|
"step": 143
|
|
},
|
|
{
|
|
"epoch": 22.92,
|
|
"eval_accuracy": 0.717391304347826,
|
|
"eval_loss": 0.7885972857475281,
|
|
"eval_runtime": 0.644,
|
|
"eval_samples_per_second": 71.425,
|
|
"eval_steps_per_second": 3.105,
|
|
"step": 149
|
|
},
|
|
{
|
|
"epoch": 23.08,
|
|
"learning_rate": 0.00015277777777777777,
|
|
"loss": 0.4077,
|
|
"step": 150
|
|
},
|
|
{
|
|
"epoch": 24.0,
|
|
"eval_accuracy": 0.7391304347826086,
|
|
"eval_loss": 0.7824200391769409,
|
|
"eval_runtime": 0.6187,
|
|
"eval_samples_per_second": 74.344,
|
|
"eval_steps_per_second": 3.232,
|
|
"step": 156
|
|
},
|
|
{
|
|
"epoch": 24.62,
|
|
"learning_rate": 0.00014814814814814815,
|
|
"loss": 0.3326,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 24.92,
|
|
"eval_accuracy": 0.7391304347826086,
|
|
"eval_loss": 0.7020803689956665,
|
|
"eval_runtime": 0.6226,
|
|
"eval_samples_per_second": 73.885,
|
|
"eval_steps_per_second": 3.212,
|
|
"step": 162
|
|
},
|
|
{
|
|
"epoch": 26.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6346074342727661,
|
|
"eval_runtime": 0.611,
|
|
"eval_samples_per_second": 75.283,
|
|
"eval_steps_per_second": 3.273,
|
|
"step": 169
|
|
},
|
|
{
|
|
"epoch": 26.15,
|
|
"learning_rate": 0.00014351851851851852,
|
|
"loss": 0.315,
|
|
"step": 170
|
|
},
|
|
{
|
|
"epoch": 26.92,
|
|
"eval_accuracy": 0.8695652173913043,
|
|
"eval_loss": 0.6163212060928345,
|
|
"eval_runtime": 0.6094,
|
|
"eval_samples_per_second": 75.49,
|
|
"eval_steps_per_second": 3.282,
|
|
"step": 175
|
|
},
|
|
{
|
|
"epoch": 27.69,
|
|
"learning_rate": 0.0001388888888888889,
|
|
"loss": 0.2729,
|
|
"step": 180
|
|
},
|
|
{
|
|
"epoch": 28.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6938338875770569,
|
|
"eval_runtime": 0.6252,
|
|
"eval_samples_per_second": 73.577,
|
|
"eval_steps_per_second": 3.199,
|
|
"step": 182
|
|
},
|
|
{
|
|
"epoch": 28.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.7417004704475403,
|
|
"eval_runtime": 0.6265,
|
|
"eval_samples_per_second": 73.429,
|
|
"eval_steps_per_second": 3.193,
|
|
"step": 188
|
|
},
|
|
{
|
|
"epoch": 29.23,
|
|
"learning_rate": 0.00013425925925925926,
|
|
"loss": 0.2218,
|
|
"step": 190
|
|
},
|
|
{
|
|
"epoch": 30.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6668894290924072,
|
|
"eval_runtime": 0.6201,
|
|
"eval_samples_per_second": 74.182,
|
|
"eval_steps_per_second": 3.225,
|
|
"step": 195
|
|
},
|
|
{
|
|
"epoch": 30.77,
|
|
"learning_rate": 0.00012962962962962963,
|
|
"loss": 0.2499,
|
|
"step": 200
|
|
},
|
|
{
|
|
"epoch": 30.92,
|
|
"eval_accuracy": 0.717391304347826,
|
|
"eval_loss": 0.7111229300498962,
|
|
"eval_runtime": 0.6369,
|
|
"eval_samples_per_second": 72.225,
|
|
"eval_steps_per_second": 3.14,
|
|
"step": 201
|
|
},
|
|
{
|
|
"epoch": 32.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6729680299758911,
|
|
"eval_runtime": 0.6117,
|
|
"eval_samples_per_second": 75.197,
|
|
"eval_steps_per_second": 3.269,
|
|
"step": 208
|
|
},
|
|
{
|
|
"epoch": 32.31,
|
|
"learning_rate": 0.000125,
|
|
"loss": 0.2218,
|
|
"step": 210
|
|
},
|
|
{
|
|
"epoch": 32.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6511849164962769,
|
|
"eval_runtime": 0.6114,
|
|
"eval_samples_per_second": 75.242,
|
|
"eval_steps_per_second": 3.271,
|
|
"step": 214
|
|
},
|
|
{
|
|
"epoch": 33.85,
|
|
"learning_rate": 0.00012037037037037037,
|
|
"loss": 0.2037,
|
|
"step": 220
|
|
},
|
|
{
|
|
"epoch": 34.0,
|
|
"eval_accuracy": 0.7391304347826086,
|
|
"eval_loss": 0.7164542078971863,
|
|
"eval_runtime": 0.6112,
|
|
"eval_samples_per_second": 75.258,
|
|
"eval_steps_per_second": 3.272,
|
|
"step": 221
|
|
},
|
|
{
|
|
"epoch": 34.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6299737691879272,
|
|
"eval_runtime": 0.6021,
|
|
"eval_samples_per_second": 76.406,
|
|
"eval_steps_per_second": 3.322,
|
|
"step": 227
|
|
},
|
|
{
|
|
"epoch": 35.38,
|
|
"learning_rate": 0.00011574074074074075,
|
|
"loss": 0.2367,
|
|
"step": 230
|
|
},
|
|
{
|
|
"epoch": 36.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.7421004176139832,
|
|
"eval_runtime": 0.6016,
|
|
"eval_samples_per_second": 76.464,
|
|
"eval_steps_per_second": 3.325,
|
|
"step": 234
|
|
},
|
|
{
|
|
"epoch": 36.92,
|
|
"learning_rate": 0.00011111111111111112,
|
|
"loss": 0.1835,
|
|
"step": 240
|
|
},
|
|
{
|
|
"epoch": 36.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6643686294555664,
|
|
"eval_runtime": 0.6164,
|
|
"eval_samples_per_second": 74.628,
|
|
"eval_steps_per_second": 3.245,
|
|
"step": 240
|
|
},
|
|
{
|
|
"epoch": 38.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6250634789466858,
|
|
"eval_runtime": 0.6064,
|
|
"eval_samples_per_second": 75.856,
|
|
"eval_steps_per_second": 3.298,
|
|
"step": 247
|
|
},
|
|
{
|
|
"epoch": 38.46,
|
|
"learning_rate": 0.00010648148148148149,
|
|
"loss": 0.2073,
|
|
"step": 250
|
|
},
|
|
{
|
|
"epoch": 38.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6430649161338806,
|
|
"eval_runtime": 0.6133,
|
|
"eval_samples_per_second": 75.001,
|
|
"eval_steps_per_second": 3.261,
|
|
"step": 253
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"learning_rate": 0.00010185185185185186,
|
|
"loss": 0.1643,
|
|
"step": 260
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.634781539440155,
|
|
"eval_runtime": 0.6208,
|
|
"eval_samples_per_second": 74.097,
|
|
"eval_steps_per_second": 3.222,
|
|
"step": 260
|
|
},
|
|
{
|
|
"epoch": 40.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6192363500595093,
|
|
"eval_runtime": 0.6183,
|
|
"eval_samples_per_second": 74.394,
|
|
"eval_steps_per_second": 3.235,
|
|
"step": 266
|
|
},
|
|
{
|
|
"epoch": 41.54,
|
|
"learning_rate": 9.722222222222223e-05,
|
|
"loss": 0.1685,
|
|
"step": 270
|
|
},
|
|
{
|
|
"epoch": 42.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6753482818603516,
|
|
"eval_runtime": 0.5997,
|
|
"eval_samples_per_second": 76.701,
|
|
"eval_steps_per_second": 3.335,
|
|
"step": 273
|
|
},
|
|
{
|
|
"epoch": 42.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.7440155148506165,
|
|
"eval_runtime": 0.6117,
|
|
"eval_samples_per_second": 75.199,
|
|
"eval_steps_per_second": 3.27,
|
|
"step": 279
|
|
},
|
|
{
|
|
"epoch": 43.08,
|
|
"learning_rate": 9.25925925925926e-05,
|
|
"loss": 0.1539,
|
|
"step": 280
|
|
},
|
|
{
|
|
"epoch": 44.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.7504969239234924,
|
|
"eval_runtime": 0.6044,
|
|
"eval_samples_per_second": 76.107,
|
|
"eval_steps_per_second": 3.309,
|
|
"step": 286
|
|
},
|
|
{
|
|
"epoch": 44.62,
|
|
"learning_rate": 8.796296296296297e-05,
|
|
"loss": 0.1658,
|
|
"step": 290
|
|
},
|
|
{
|
|
"epoch": 44.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6331078410148621,
|
|
"eval_runtime": 0.6101,
|
|
"eval_samples_per_second": 75.401,
|
|
"eval_steps_per_second": 3.278,
|
|
"step": 292
|
|
},
|
|
{
|
|
"epoch": 46.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6549533009529114,
|
|
"eval_runtime": 0.8345,
|
|
"eval_samples_per_second": 55.12,
|
|
"eval_steps_per_second": 2.397,
|
|
"step": 299
|
|
},
|
|
{
|
|
"epoch": 46.15,
|
|
"learning_rate": 8.333333333333334e-05,
|
|
"loss": 0.1596,
|
|
"step": 300
|
|
},
|
|
{
|
|
"epoch": 46.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6824274063110352,
|
|
"eval_runtime": 0.6289,
|
|
"eval_samples_per_second": 73.143,
|
|
"eval_steps_per_second": 3.18,
|
|
"step": 305
|
|
},
|
|
{
|
|
"epoch": 47.69,
|
|
"learning_rate": 7.870370370370372e-05,
|
|
"loss": 0.1534,
|
|
"step": 310
|
|
},
|
|
{
|
|
"epoch": 48.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6970986723899841,
|
|
"eval_runtime": 0.6878,
|
|
"eval_samples_per_second": 66.875,
|
|
"eval_steps_per_second": 2.908,
|
|
"step": 312
|
|
},
|
|
{
|
|
"epoch": 48.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6347023248672485,
|
|
"eval_runtime": 0.6022,
|
|
"eval_samples_per_second": 76.388,
|
|
"eval_steps_per_second": 3.321,
|
|
"step": 318
|
|
},
|
|
{
|
|
"epoch": 49.23,
|
|
"learning_rate": 7.407407407407407e-05,
|
|
"loss": 0.1677,
|
|
"step": 320
|
|
},
|
|
{
|
|
"epoch": 50.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6392168998718262,
|
|
"eval_runtime": 0.6333,
|
|
"eval_samples_per_second": 72.632,
|
|
"eval_steps_per_second": 3.158,
|
|
"step": 325
|
|
},
|
|
{
|
|
"epoch": 50.77,
|
|
"learning_rate": 6.944444444444444e-05,
|
|
"loss": 0.1453,
|
|
"step": 330
|
|
},
|
|
{
|
|
"epoch": 50.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6368798017501831,
|
|
"eval_runtime": 0.6455,
|
|
"eval_samples_per_second": 71.262,
|
|
"eval_steps_per_second": 3.098,
|
|
"step": 331
|
|
},
|
|
{
|
|
"epoch": 52.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.623034656047821,
|
|
"eval_runtime": 0.7388,
|
|
"eval_samples_per_second": 62.259,
|
|
"eval_steps_per_second": 2.707,
|
|
"step": 338
|
|
},
|
|
{
|
|
"epoch": 52.31,
|
|
"learning_rate": 6.481481481481482e-05,
|
|
"loss": 0.1385,
|
|
"step": 340
|
|
},
|
|
{
|
|
"epoch": 52.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6432219743728638,
|
|
"eval_runtime": 0.6128,
|
|
"eval_samples_per_second": 75.06,
|
|
"eval_steps_per_second": 3.263,
|
|
"step": 344
|
|
},
|
|
{
|
|
"epoch": 53.85,
|
|
"learning_rate": 6.018518518518519e-05,
|
|
"loss": 0.1221,
|
|
"step": 350
|
|
},
|
|
{
|
|
"epoch": 54.0,
|
|
"eval_accuracy": 0.7391304347826086,
|
|
"eval_loss": 0.6757408380508423,
|
|
"eval_runtime": 0.5947,
|
|
"eval_samples_per_second": 77.346,
|
|
"eval_steps_per_second": 3.363,
|
|
"step": 351
|
|
},
|
|
{
|
|
"epoch": 54.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7383140921592712,
|
|
"eval_runtime": 0.6233,
|
|
"eval_samples_per_second": 73.805,
|
|
"eval_steps_per_second": 3.209,
|
|
"step": 357
|
|
},
|
|
{
|
|
"epoch": 55.38,
|
|
"learning_rate": 5.555555555555556e-05,
|
|
"loss": 0.1433,
|
|
"step": 360
|
|
},
|
|
{
|
|
"epoch": 56.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7100470066070557,
|
|
"eval_runtime": 0.6051,
|
|
"eval_samples_per_second": 76.02,
|
|
"eval_steps_per_second": 3.305,
|
|
"step": 364
|
|
},
|
|
{
|
|
"epoch": 56.92,
|
|
"learning_rate": 5.092592592592593e-05,
|
|
"loss": 0.1567,
|
|
"step": 370
|
|
},
|
|
{
|
|
"epoch": 56.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6861900091171265,
|
|
"eval_runtime": 0.6176,
|
|
"eval_samples_per_second": 74.482,
|
|
"eval_steps_per_second": 3.238,
|
|
"step": 370
|
|
},
|
|
{
|
|
"epoch": 58.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6653789281845093,
|
|
"eval_runtime": 0.6048,
|
|
"eval_samples_per_second": 76.061,
|
|
"eval_steps_per_second": 3.307,
|
|
"step": 377
|
|
},
|
|
{
|
|
"epoch": 58.46,
|
|
"learning_rate": 4.62962962962963e-05,
|
|
"loss": 0.1361,
|
|
"step": 380
|
|
},
|
|
{
|
|
"epoch": 58.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.66651451587677,
|
|
"eval_runtime": 0.6057,
|
|
"eval_samples_per_second": 75.942,
|
|
"eval_steps_per_second": 3.302,
|
|
"step": 383
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"learning_rate": 4.166666666666667e-05,
|
|
"loss": 0.1157,
|
|
"step": 390
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6439006924629211,
|
|
"eval_runtime": 0.6871,
|
|
"eval_samples_per_second": 66.95,
|
|
"eval_steps_per_second": 2.911,
|
|
"step": 390
|
|
},
|
|
{
|
|
"epoch": 60.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6306149959564209,
|
|
"eval_runtime": 0.6235,
|
|
"eval_samples_per_second": 73.782,
|
|
"eval_steps_per_second": 3.208,
|
|
"step": 396
|
|
},
|
|
{
|
|
"epoch": 61.54,
|
|
"learning_rate": 3.7037037037037037e-05,
|
|
"loss": 0.0934,
|
|
"step": 400
|
|
},
|
|
{
|
|
"epoch": 62.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6546051502227783,
|
|
"eval_runtime": 0.6648,
|
|
"eval_samples_per_second": 69.19,
|
|
"eval_steps_per_second": 3.008,
|
|
"step": 403
|
|
},
|
|
{
|
|
"epoch": 62.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.665103018283844,
|
|
"eval_runtime": 0.6067,
|
|
"eval_samples_per_second": 75.824,
|
|
"eval_steps_per_second": 3.297,
|
|
"step": 409
|
|
},
|
|
{
|
|
"epoch": 63.08,
|
|
"learning_rate": 3.240740740740741e-05,
|
|
"loss": 0.1123,
|
|
"step": 410
|
|
},
|
|
{
|
|
"epoch": 64.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6568355560302734,
|
|
"eval_runtime": 0.6061,
|
|
"eval_samples_per_second": 75.896,
|
|
"eval_steps_per_second": 3.3,
|
|
"step": 416
|
|
},
|
|
{
|
|
"epoch": 64.62,
|
|
"learning_rate": 2.777777777777778e-05,
|
|
"loss": 0.0855,
|
|
"step": 420
|
|
},
|
|
{
|
|
"epoch": 64.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6506606936454773,
|
|
"eval_runtime": 0.6256,
|
|
"eval_samples_per_second": 73.528,
|
|
"eval_steps_per_second": 3.197,
|
|
"step": 422
|
|
},
|
|
{
|
|
"epoch": 66.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6667113304138184,
|
|
"eval_runtime": 0.6184,
|
|
"eval_samples_per_second": 74.384,
|
|
"eval_steps_per_second": 3.234,
|
|
"step": 429
|
|
},
|
|
{
|
|
"epoch": 66.15,
|
|
"learning_rate": 2.314814814814815e-05,
|
|
"loss": 0.1135,
|
|
"step": 430
|
|
},
|
|
{
|
|
"epoch": 66.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6515849232673645,
|
|
"eval_runtime": 0.6641,
|
|
"eval_samples_per_second": 69.267,
|
|
"eval_steps_per_second": 3.012,
|
|
"step": 435
|
|
},
|
|
{
|
|
"epoch": 67.69,
|
|
"learning_rate": 1.8518518518518518e-05,
|
|
"loss": 0.0932,
|
|
"step": 440
|
|
},
|
|
{
|
|
"epoch": 68.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6596114039421082,
|
|
"eval_runtime": 0.5982,
|
|
"eval_samples_per_second": 76.895,
|
|
"eval_steps_per_second": 3.343,
|
|
"step": 442
|
|
},
|
|
{
|
|
"epoch": 68.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.677249550819397,
|
|
"eval_runtime": 0.6014,
|
|
"eval_samples_per_second": 76.488,
|
|
"eval_steps_per_second": 3.326,
|
|
"step": 448
|
|
},
|
|
{
|
|
"epoch": 69.23,
|
|
"learning_rate": 1.388888888888889e-05,
|
|
"loss": 0.1228,
|
|
"step": 450
|
|
},
|
|
{
|
|
"epoch": 70.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6525955200195312,
|
|
"eval_runtime": 0.6064,
|
|
"eval_samples_per_second": 75.857,
|
|
"eval_steps_per_second": 3.298,
|
|
"step": 455
|
|
},
|
|
{
|
|
"epoch": 70.77,
|
|
"learning_rate": 9.259259259259259e-06,
|
|
"loss": 0.0878,
|
|
"step": 460
|
|
},
|
|
{
|
|
"epoch": 70.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6731473207473755,
|
|
"eval_runtime": 0.6319,
|
|
"eval_samples_per_second": 72.794,
|
|
"eval_steps_per_second": 3.165,
|
|
"step": 461
|
|
},
|
|
{
|
|
"epoch": 72.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6350728869438171,
|
|
"eval_runtime": 0.626,
|
|
"eval_samples_per_second": 73.479,
|
|
"eval_steps_per_second": 3.195,
|
|
"step": 468
|
|
},
|
|
{
|
|
"epoch": 72.31,
|
|
"learning_rate": 4.6296296296296296e-06,
|
|
"loss": 0.1073,
|
|
"step": 470
|
|
},
|
|
{
|
|
"epoch": 72.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6268617510795593,
|
|
"eval_runtime": 0.6109,
|
|
"eval_samples_per_second": 75.304,
|
|
"eval_steps_per_second": 3.274,
|
|
"step": 474
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"learning_rate": 0.0,
|
|
"loss": 0.1028,
|
|
"step": 480
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6742560267448425,
|
|
"eval_runtime": 0.6109,
|
|
"eval_samples_per_second": 75.3,
|
|
"eval_steps_per_second": 3.274,
|
|
"step": 480
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"step": 480,
|
|
"total_flos": 1.6581977329862246e+17,
|
|
"train_loss": 0.38355133185784024,
|
|
"train_runtime": 282.7663,
|
|
"train_samples_per_second": 231.711,
|
|
"train_steps_per_second": 1.698
|
|
}
|
|
],
|
|
"logging_steps": 10,
|
|
"max_steps": 480,
|
|
"num_input_tokens_seen": 0,
|
|
"num_train_epochs": 80,
|
|
"save_steps": 500,
|
|
"total_flos": 1.6581977329862246e+17,
|
|
"train_batch_size": 32,
|
|
"trial_name": null,
|
|
"trial_params": null
|
|
}
|
|
|