delivery_truck_classification / trainer_state.json
JEdward7777's picture
End of training
fdc7872
raw
history blame
16.7 kB
{
"best_metric": 0.9692307692307692,
"best_model_checkpoint": "delivery_truck_classification/checkpoint-56",
"epoch": 59.8421052631579,
"global_step": 240,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.84,
"eval_accuracy": 0.18461538461538463,
"eval_loss": 1.9335094690322876,
"eval_runtime": 4.2505,
"eval_samples_per_second": 15.292,
"eval_steps_per_second": 0.706,
"step": 4
},
{
"epoch": 1.84,
"eval_accuracy": 0.26153846153846155,
"eval_loss": 1.83644700050354,
"eval_runtime": 4.7909,
"eval_samples_per_second": 13.567,
"eval_steps_per_second": 0.626,
"step": 8
},
{
"epoch": 2.84,
"eval_accuracy": 0.38461538461538464,
"eval_loss": 1.7054301500320435,
"eval_runtime": 4.2339,
"eval_samples_per_second": 15.352,
"eval_steps_per_second": 0.709,
"step": 12
},
{
"epoch": 3.84,
"eval_accuracy": 0.4153846153846154,
"eval_loss": 1.5629212856292725,
"eval_runtime": 4.6,
"eval_samples_per_second": 14.13,
"eval_steps_per_second": 0.652,
"step": 16
},
{
"epoch": 4.84,
"learning_rate": 4.166666666666667e-05,
"loss": 2.0106,
"step": 20
},
{
"epoch": 4.84,
"eval_accuracy": 0.47692307692307695,
"eval_loss": 1.3906540870666504,
"eval_runtime": 4.2108,
"eval_samples_per_second": 15.437,
"eval_steps_per_second": 0.712,
"step": 20
},
{
"epoch": 5.84,
"eval_accuracy": 0.5692307692307692,
"eval_loss": 1.1983743906021118,
"eval_runtime": 4.4922,
"eval_samples_per_second": 14.47,
"eval_steps_per_second": 0.668,
"step": 24
},
{
"epoch": 6.84,
"eval_accuracy": 0.6615384615384615,
"eval_loss": 0.951930582523346,
"eval_runtime": 4.3052,
"eval_samples_per_second": 15.098,
"eval_steps_per_second": 0.697,
"step": 28
},
{
"epoch": 7.84,
"eval_accuracy": 0.7846153846153846,
"eval_loss": 0.7509785294532776,
"eval_runtime": 4.6224,
"eval_samples_per_second": 14.062,
"eval_steps_per_second": 0.649,
"step": 32
},
{
"epoch": 8.84,
"eval_accuracy": 0.8615384615384616,
"eval_loss": 0.5749186277389526,
"eval_runtime": 5.8947,
"eval_samples_per_second": 11.027,
"eval_steps_per_second": 0.509,
"step": 36
},
{
"epoch": 9.84,
"learning_rate": 4.62962962962963e-05,
"loss": 1.1009,
"step": 40
},
{
"epoch": 9.84,
"eval_accuracy": 0.9384615384615385,
"eval_loss": 0.42441025376319885,
"eval_runtime": 4.917,
"eval_samples_per_second": 13.219,
"eval_steps_per_second": 0.61,
"step": 40
},
{
"epoch": 10.84,
"eval_accuracy": 0.8923076923076924,
"eval_loss": 0.3652417063713074,
"eval_runtime": 4.3232,
"eval_samples_per_second": 15.035,
"eval_steps_per_second": 0.694,
"step": 44
},
{
"epoch": 11.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.2734673023223877,
"eval_runtime": 4.5868,
"eval_samples_per_second": 14.171,
"eval_steps_per_second": 0.654,
"step": 48
},
{
"epoch": 12.84,
"eval_accuracy": 0.8923076923076924,
"eval_loss": 0.29086846113204956,
"eval_runtime": 4.5389,
"eval_samples_per_second": 14.321,
"eval_steps_per_second": 0.661,
"step": 52
},
{
"epoch": 13.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.22925466299057007,
"eval_runtime": 4.2293,
"eval_samples_per_second": 15.369,
"eval_steps_per_second": 0.709,
"step": 56
},
{
"epoch": 14.84,
"learning_rate": 4.166666666666667e-05,
"loss": 0.6329,
"step": 60
},
{
"epoch": 14.84,
"eval_accuracy": 0.9076923076923077,
"eval_loss": 0.2562795877456665,
"eval_runtime": 4.6895,
"eval_samples_per_second": 13.861,
"eval_steps_per_second": 0.64,
"step": 60
},
{
"epoch": 15.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.22179557383060455,
"eval_runtime": 4.4085,
"eval_samples_per_second": 14.744,
"eval_steps_per_second": 0.681,
"step": 64
},
{
"epoch": 16.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.21023423969745636,
"eval_runtime": 4.6409,
"eval_samples_per_second": 14.006,
"eval_steps_per_second": 0.646,
"step": 68
},
{
"epoch": 17.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.18287315964698792,
"eval_runtime": 4.2374,
"eval_samples_per_second": 15.339,
"eval_steps_per_second": 0.708,
"step": 72
},
{
"epoch": 18.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.1991574615240097,
"eval_runtime": 4.6374,
"eval_samples_per_second": 14.016,
"eval_steps_per_second": 0.647,
"step": 76
},
{
"epoch": 19.84,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.497,
"step": 80
},
{
"epoch": 19.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.18140976130962372,
"eval_runtime": 4.3083,
"eval_samples_per_second": 15.087,
"eval_steps_per_second": 0.696,
"step": 80
},
{
"epoch": 20.84,
"eval_accuracy": 0.9384615384615385,
"eval_loss": 0.18073710799217224,
"eval_runtime": 4.692,
"eval_samples_per_second": 13.853,
"eval_steps_per_second": 0.639,
"step": 84
},
{
"epoch": 21.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.17651371657848358,
"eval_runtime": 4.3195,
"eval_samples_per_second": 15.048,
"eval_steps_per_second": 0.695,
"step": 88
},
{
"epoch": 22.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.18682582676410675,
"eval_runtime": 4.7596,
"eval_samples_per_second": 13.657,
"eval_steps_per_second": 0.63,
"step": 92
},
{
"epoch": 23.84,
"eval_accuracy": 0.9384615384615385,
"eval_loss": 0.20892775058746338,
"eval_runtime": 4.337,
"eval_samples_per_second": 14.987,
"eval_steps_per_second": 0.692,
"step": 96
},
{
"epoch": 24.84,
"learning_rate": 3.240740740740741e-05,
"loss": 0.4198,
"step": 100
},
{
"epoch": 24.84,
"eval_accuracy": 0.9384615384615385,
"eval_loss": 0.18977122008800507,
"eval_runtime": 4.6813,
"eval_samples_per_second": 13.885,
"eval_steps_per_second": 0.641,
"step": 100
},
{
"epoch": 25.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.20645342767238617,
"eval_runtime": 4.2709,
"eval_samples_per_second": 15.219,
"eval_steps_per_second": 0.702,
"step": 104
},
{
"epoch": 26.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.18446099758148193,
"eval_runtime": 4.7129,
"eval_samples_per_second": 13.792,
"eval_steps_per_second": 0.637,
"step": 108
},
{
"epoch": 27.84,
"eval_accuracy": 0.9230769230769231,
"eval_loss": 0.17242665588855743,
"eval_runtime": 4.2634,
"eval_samples_per_second": 15.246,
"eval_steps_per_second": 0.704,
"step": 112
},
{
"epoch": 28.84,
"eval_accuracy": 0.9384615384615385,
"eval_loss": 0.1611722856760025,
"eval_runtime": 4.5386,
"eval_samples_per_second": 14.322,
"eval_steps_per_second": 0.661,
"step": 116
},
{
"epoch": 29.84,
"learning_rate": 2.777777777777778e-05,
"loss": 0.368,
"step": 120
},
{
"epoch": 29.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.15382908284664154,
"eval_runtime": 5.2863,
"eval_samples_per_second": 12.296,
"eval_steps_per_second": 0.567,
"step": 120
},
{
"epoch": 30.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.15675745904445648,
"eval_runtime": 4.6707,
"eval_samples_per_second": 13.916,
"eval_steps_per_second": 0.642,
"step": 124
},
{
"epoch": 31.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14750127494335175,
"eval_runtime": 4.2141,
"eval_samples_per_second": 15.425,
"eval_steps_per_second": 0.712,
"step": 128
},
{
"epoch": 32.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.14530035853385925,
"eval_runtime": 4.5446,
"eval_samples_per_second": 14.303,
"eval_steps_per_second": 0.66,
"step": 132
},
{
"epoch": 33.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.1576438844203949,
"eval_runtime": 4.2804,
"eval_samples_per_second": 15.186,
"eval_steps_per_second": 0.701,
"step": 136
},
{
"epoch": 34.84,
"learning_rate": 2.314814814814815e-05,
"loss": 0.3709,
"step": 140
},
{
"epoch": 34.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14298613369464874,
"eval_runtime": 4.6347,
"eval_samples_per_second": 14.025,
"eval_steps_per_second": 0.647,
"step": 140
},
{
"epoch": 35.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.13841809332370758,
"eval_runtime": 4.3512,
"eval_samples_per_second": 14.938,
"eval_steps_per_second": 0.689,
"step": 144
},
{
"epoch": 36.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14322978258132935,
"eval_runtime": 4.6696,
"eval_samples_per_second": 13.92,
"eval_steps_per_second": 0.642,
"step": 148
},
{
"epoch": 37.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.13474790751934052,
"eval_runtime": 4.2951,
"eval_samples_per_second": 15.133,
"eval_steps_per_second": 0.698,
"step": 152
},
{
"epoch": 38.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.1358633041381836,
"eval_runtime": 4.6622,
"eval_samples_per_second": 13.942,
"eval_steps_per_second": 0.643,
"step": 156
},
{
"epoch": 39.84,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.3373,
"step": 160
},
{
"epoch": 39.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.15974925458431244,
"eval_runtime": 4.2867,
"eval_samples_per_second": 15.163,
"eval_steps_per_second": 0.7,
"step": 160
},
{
"epoch": 40.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.15224121510982513,
"eval_runtime": 4.6977,
"eval_samples_per_second": 13.837,
"eval_steps_per_second": 0.639,
"step": 164
},
{
"epoch": 41.84,
"eval_accuracy": 0.9538461538461539,
"eval_loss": 0.14772085845470428,
"eval_runtime": 4.316,
"eval_samples_per_second": 15.06,
"eval_steps_per_second": 0.695,
"step": 168
},
{
"epoch": 42.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.1480209231376648,
"eval_runtime": 4.7164,
"eval_samples_per_second": 13.782,
"eval_steps_per_second": 0.636,
"step": 172
},
{
"epoch": 43.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14724673330783844,
"eval_runtime": 4.3123,
"eval_samples_per_second": 15.073,
"eval_steps_per_second": 0.696,
"step": 176
},
{
"epoch": 44.84,
"learning_rate": 1.388888888888889e-05,
"loss": 0.3342,
"step": 180
},
{
"epoch": 44.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14734135568141937,
"eval_runtime": 4.5929,
"eval_samples_per_second": 14.152,
"eval_steps_per_second": 0.653,
"step": 180
},
{
"epoch": 45.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14583279192447662,
"eval_runtime": 4.3738,
"eval_samples_per_second": 14.861,
"eval_steps_per_second": 0.686,
"step": 184
},
{
"epoch": 46.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.15290141105651855,
"eval_runtime": 4.6815,
"eval_samples_per_second": 13.884,
"eval_steps_per_second": 0.641,
"step": 188
},
{
"epoch": 47.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.15495683252811432,
"eval_runtime": 4.3181,
"eval_samples_per_second": 15.053,
"eval_steps_per_second": 0.695,
"step": 192
},
{
"epoch": 48.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14939415454864502,
"eval_runtime": 4.7194,
"eval_samples_per_second": 13.773,
"eval_steps_per_second": 0.636,
"step": 196
},
{
"epoch": 49.84,
"learning_rate": 9.259259259259259e-06,
"loss": 0.2914,
"step": 200
},
{
"epoch": 49.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.1469651609659195,
"eval_runtime": 4.259,
"eval_samples_per_second": 15.262,
"eval_steps_per_second": 0.704,
"step": 200
},
{
"epoch": 50.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.146009162068367,
"eval_runtime": 4.6878,
"eval_samples_per_second": 13.866,
"eval_steps_per_second": 0.64,
"step": 204
},
{
"epoch": 51.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14776931703090668,
"eval_runtime": 4.265,
"eval_samples_per_second": 15.24,
"eval_steps_per_second": 0.703,
"step": 208
},
{
"epoch": 52.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.1481345295906067,
"eval_runtime": 4.5299,
"eval_samples_per_second": 14.349,
"eval_steps_per_second": 0.662,
"step": 212
},
{
"epoch": 53.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14605876803398132,
"eval_runtime": 4.1658,
"eval_samples_per_second": 15.603,
"eval_steps_per_second": 0.72,
"step": 216
},
{
"epoch": 54.84,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.2736,
"step": 220
},
{
"epoch": 54.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14581629633903503,
"eval_runtime": 4.4574,
"eval_samples_per_second": 14.583,
"eval_steps_per_second": 0.673,
"step": 220
},
{
"epoch": 55.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14382527768611908,
"eval_runtime": 4.1183,
"eval_samples_per_second": 15.783,
"eval_steps_per_second": 0.728,
"step": 224
},
{
"epoch": 56.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14272591471672058,
"eval_runtime": 4.5294,
"eval_samples_per_second": 14.351,
"eval_steps_per_second": 0.662,
"step": 228
},
{
"epoch": 57.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.14175653457641602,
"eval_runtime": 4.1288,
"eval_samples_per_second": 15.743,
"eval_steps_per_second": 0.727,
"step": 232
},
{
"epoch": 58.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.140133798122406,
"eval_runtime": 4.5233,
"eval_samples_per_second": 14.37,
"eval_steps_per_second": 0.663,
"step": 236
},
{
"epoch": 59.84,
"learning_rate": 0.0,
"loss": 0.2589,
"step": 240
},
{
"epoch": 59.84,
"eval_accuracy": 0.9692307692307692,
"eval_loss": 0.13985498249530792,
"eval_runtime": 4.4933,
"eval_samples_per_second": 14.466,
"eval_steps_per_second": 0.668,
"step": 240
},
{
"epoch": 59.84,
"step": 240,
"total_flos": 8.648855308501955e+17,
"train_loss": 0.5746380070845286,
"train_runtime": 4313.6028,
"train_samples_per_second": 8.081,
"train_steps_per_second": 0.056
}
],
"max_steps": 240,
"num_train_epochs": 60,
"total_flos": 8.648855308501955e+17,
"trial_name": null,
"trial_params": null
}