alexavsatov's picture
Training in progress, epoch 0
d2fd8a7
{
"best_metric": 0.834983498349835,
"best_model_checkpoint": "vit-base-patch16-224-finetuned-eurosat/checkpoint-798",
"epoch": 2.9943714821763603,
"eval_steps": 500,
"global_step": 798,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 6.25e-06,
"loss": 4.7733,
"step": 10
},
{
"epoch": 0.08,
"learning_rate": 1.25e-05,
"loss": 4.7021,
"step": 20
},
{
"epoch": 0.11,
"learning_rate": 1.8750000000000002e-05,
"loss": 4.6191,
"step": 30
},
{
"epoch": 0.15,
"learning_rate": 2.5e-05,
"loss": 4.487,
"step": 40
},
{
"epoch": 0.19,
"learning_rate": 3.125e-05,
"loss": 4.2957,
"step": 50
},
{
"epoch": 0.23,
"learning_rate": 3.7500000000000003e-05,
"loss": 4.0441,
"step": 60
},
{
"epoch": 0.26,
"learning_rate": 4.375e-05,
"loss": 3.7251,
"step": 70
},
{
"epoch": 0.3,
"learning_rate": 5e-05,
"loss": 3.3993,
"step": 80
},
{
"epoch": 0.34,
"learning_rate": 4.930362116991643e-05,
"loss": 3.0075,
"step": 90
},
{
"epoch": 0.38,
"learning_rate": 4.860724233983287e-05,
"loss": 2.6314,
"step": 100
},
{
"epoch": 0.41,
"learning_rate": 4.79108635097493e-05,
"loss": 2.4011,
"step": 110
},
{
"epoch": 0.45,
"learning_rate": 4.721448467966574e-05,
"loss": 2.1461,
"step": 120
},
{
"epoch": 0.49,
"learning_rate": 4.6518105849582176e-05,
"loss": 1.9426,
"step": 130
},
{
"epoch": 0.53,
"learning_rate": 4.582172701949861e-05,
"loss": 1.8008,
"step": 140
},
{
"epoch": 0.56,
"learning_rate": 4.5125348189415044e-05,
"loss": 1.6983,
"step": 150
},
{
"epoch": 0.6,
"learning_rate": 4.442896935933148e-05,
"loss": 1.6476,
"step": 160
},
{
"epoch": 0.64,
"learning_rate": 4.373259052924791e-05,
"loss": 1.4829,
"step": 170
},
{
"epoch": 0.68,
"learning_rate": 4.303621169916435e-05,
"loss": 1.4473,
"step": 180
},
{
"epoch": 0.71,
"learning_rate": 4.233983286908078e-05,
"loss": 1.3767,
"step": 190
},
{
"epoch": 0.75,
"learning_rate": 4.164345403899722e-05,
"loss": 1.2828,
"step": 200
},
{
"epoch": 0.79,
"learning_rate": 4.094707520891365e-05,
"loss": 1.3095,
"step": 210
},
{
"epoch": 0.83,
"learning_rate": 4.0250696378830085e-05,
"loss": 1.2064,
"step": 220
},
{
"epoch": 0.86,
"learning_rate": 3.955431754874652e-05,
"loss": 1.1614,
"step": 230
},
{
"epoch": 0.9,
"learning_rate": 3.885793871866296e-05,
"loss": 1.2123,
"step": 240
},
{
"epoch": 0.94,
"learning_rate": 3.816155988857939e-05,
"loss": 1.1367,
"step": 250
},
{
"epoch": 0.98,
"learning_rate": 3.746518105849583e-05,
"loss": 1.0954,
"step": 260
},
{
"epoch": 1.0,
"eval_accuracy": 0.7898349834983498,
"eval_loss": 0.9450869560241699,
"eval_runtime": 67.1006,
"eval_samples_per_second": 112.89,
"eval_steps_per_second": 1.773,
"step": 266
},
{
"epoch": 1.01,
"learning_rate": 3.676880222841226e-05,
"loss": 1.091,
"step": 270
},
{
"epoch": 1.05,
"learning_rate": 3.607242339832869e-05,
"loss": 1.0539,
"step": 280
},
{
"epoch": 1.09,
"learning_rate": 3.5376044568245126e-05,
"loss": 1.035,
"step": 290
},
{
"epoch": 1.13,
"learning_rate": 3.4679665738161556e-05,
"loss": 0.9419,
"step": 300
},
{
"epoch": 1.16,
"learning_rate": 3.3983286908077994e-05,
"loss": 1.0054,
"step": 310
},
{
"epoch": 1.2,
"learning_rate": 3.328690807799443e-05,
"loss": 1.0022,
"step": 320
},
{
"epoch": 1.24,
"learning_rate": 3.259052924791087e-05,
"loss": 0.9334,
"step": 330
},
{
"epoch": 1.28,
"learning_rate": 3.18941504178273e-05,
"loss": 0.9022,
"step": 340
},
{
"epoch": 1.31,
"learning_rate": 3.1197771587743737e-05,
"loss": 0.8882,
"step": 350
},
{
"epoch": 1.35,
"learning_rate": 3.050139275766017e-05,
"loss": 0.9736,
"step": 360
},
{
"epoch": 1.39,
"learning_rate": 2.98050139275766e-05,
"loss": 0.9085,
"step": 370
},
{
"epoch": 1.43,
"learning_rate": 2.9108635097493035e-05,
"loss": 0.9588,
"step": 380
},
{
"epoch": 1.46,
"learning_rate": 2.841225626740947e-05,
"loss": 0.9093,
"step": 390
},
{
"epoch": 1.5,
"learning_rate": 2.7715877437325903e-05,
"loss": 0.8688,
"step": 400
},
{
"epoch": 1.54,
"learning_rate": 2.7019498607242337e-05,
"loss": 0.8283,
"step": 410
},
{
"epoch": 1.58,
"learning_rate": 2.6323119777158778e-05,
"loss": 0.886,
"step": 420
},
{
"epoch": 1.61,
"learning_rate": 2.562674094707521e-05,
"loss": 0.9259,
"step": 430
},
{
"epoch": 1.65,
"learning_rate": 2.4930362116991646e-05,
"loss": 0.8334,
"step": 440
},
{
"epoch": 1.69,
"learning_rate": 2.423398328690808e-05,
"loss": 0.8748,
"step": 450
},
{
"epoch": 1.73,
"learning_rate": 2.3537604456824514e-05,
"loss": 0.8367,
"step": 460
},
{
"epoch": 1.76,
"learning_rate": 2.2841225626740948e-05,
"loss": 0.8054,
"step": 470
},
{
"epoch": 1.8,
"learning_rate": 2.214484679665738e-05,
"loss": 0.85,
"step": 480
},
{
"epoch": 1.84,
"learning_rate": 2.144846796657382e-05,
"loss": 0.85,
"step": 490
},
{
"epoch": 1.88,
"learning_rate": 2.0752089136490253e-05,
"loss": 0.8617,
"step": 500
},
{
"epoch": 1.91,
"learning_rate": 2.0055710306406687e-05,
"loss": 0.8337,
"step": 510
},
{
"epoch": 1.95,
"learning_rate": 1.935933147632312e-05,
"loss": 0.8182,
"step": 520
},
{
"epoch": 1.99,
"learning_rate": 1.8662952646239558e-05,
"loss": 0.8207,
"step": 530
},
{
"epoch": 2.0,
"eval_accuracy": 0.8281188118811881,
"eval_loss": 0.7111164331436157,
"eval_runtime": 66.016,
"eval_samples_per_second": 114.745,
"eval_steps_per_second": 1.803,
"step": 533
},
{
"epoch": 2.03,
"learning_rate": 1.7966573816155992e-05,
"loss": 0.7639,
"step": 540
},
{
"epoch": 2.06,
"learning_rate": 1.7270194986072426e-05,
"loss": 0.7439,
"step": 550
},
{
"epoch": 2.1,
"learning_rate": 1.6573816155988857e-05,
"loss": 0.7358,
"step": 560
},
{
"epoch": 2.14,
"learning_rate": 1.587743732590529e-05,
"loss": 0.7454,
"step": 570
},
{
"epoch": 2.18,
"learning_rate": 1.518105849582173e-05,
"loss": 0.7533,
"step": 580
},
{
"epoch": 2.21,
"learning_rate": 1.4484679665738164e-05,
"loss": 0.7898,
"step": 590
},
{
"epoch": 2.25,
"learning_rate": 1.3788300835654596e-05,
"loss": 0.734,
"step": 600
},
{
"epoch": 2.29,
"learning_rate": 1.309192200557103e-05,
"loss": 0.793,
"step": 610
},
{
"epoch": 2.33,
"learning_rate": 1.2395543175487466e-05,
"loss": 0.7409,
"step": 620
},
{
"epoch": 2.36,
"learning_rate": 1.16991643454039e-05,
"loss": 0.7768,
"step": 630
},
{
"epoch": 2.4,
"learning_rate": 1.1002785515320335e-05,
"loss": 0.7306,
"step": 640
},
{
"epoch": 2.44,
"learning_rate": 1.0306406685236769e-05,
"loss": 0.7125,
"step": 650
},
{
"epoch": 2.48,
"learning_rate": 9.610027855153205e-06,
"loss": 0.7176,
"step": 660
},
{
"epoch": 2.51,
"learning_rate": 8.913649025069639e-06,
"loss": 0.7669,
"step": 670
},
{
"epoch": 2.55,
"learning_rate": 8.217270194986073e-06,
"loss": 0.7372,
"step": 680
},
{
"epoch": 2.59,
"learning_rate": 7.5208913649025075e-06,
"loss": 0.7574,
"step": 690
},
{
"epoch": 2.63,
"learning_rate": 6.8245125348189415e-06,
"loss": 0.7493,
"step": 700
},
{
"epoch": 2.66,
"learning_rate": 6.128133704735376e-06,
"loss": 0.7554,
"step": 710
},
{
"epoch": 2.7,
"learning_rate": 5.43175487465181e-06,
"loss": 0.7465,
"step": 720
},
{
"epoch": 2.74,
"learning_rate": 4.735376044568245e-06,
"loss": 0.7608,
"step": 730
},
{
"epoch": 2.78,
"learning_rate": 4.03899721448468e-06,
"loss": 0.7534,
"step": 740
},
{
"epoch": 2.81,
"learning_rate": 3.3426183844011147e-06,
"loss": 0.7744,
"step": 750
},
{
"epoch": 2.85,
"learning_rate": 2.6462395543175487e-06,
"loss": 0.7158,
"step": 760
},
{
"epoch": 2.89,
"learning_rate": 1.9498607242339835e-06,
"loss": 0.7324,
"step": 770
},
{
"epoch": 2.93,
"learning_rate": 1.253481894150418e-06,
"loss": 0.749,
"step": 780
},
{
"epoch": 2.96,
"learning_rate": 5.571030640668524e-07,
"loss": 0.771,
"step": 790
},
{
"epoch": 2.99,
"eval_accuracy": 0.834983498349835,
"eval_loss": 0.6656444668769836,
"eval_runtime": 66.6691,
"eval_samples_per_second": 113.621,
"eval_steps_per_second": 1.785,
"step": 798
},
{
"epoch": 2.99,
"step": 798,
"total_flos": 1.5837129276562944e+19,
"train_loss": 1.3612600884640724,
"train_runtime": 3195.3608,
"train_samples_per_second": 64.007,
"train_steps_per_second": 0.25
}
],
"logging_steps": 10,
"max_steps": 798,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 1.5837129276562944e+19,
"trial_name": null,
"trial_params": null
}