madonna / trainer_state.json
AlekseyKorshuk's picture
huggingartists
cb31c93
raw
history blame
11.7 kB
{
"best_metric": 1.5412778854370117,
"best_model_checkpoint": "output/madonna/checkpoint-448",
"epoch": 2.0,
"global_step": 448,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 0.0001370283488463827,
"loss": 2.5046,
"step": 5
},
{
"epoch": 0.05,
"learning_rate": 0.00013651425439773298,
"loss": 2.4348,
"step": 10
},
{
"epoch": 0.07,
"learning_rate": 0.00013566028939181128,
"loss": 2.5907,
"step": 15
},
{
"epoch": 0.09,
"learning_rate": 0.00013447072741690948,
"loss": 2.4827,
"step": 20
},
{
"epoch": 0.11,
"learning_rate": 0.00013295152152507697,
"loss": 2.4145,
"step": 25
},
{
"epoch": 0.14,
"learning_rate": 0.0001311102744406261,
"loss": 2.1817,
"step": 30
},
{
"epoch": 0.16,
"learning_rate": 0.00012895620051300705,
"loss": 2.3325,
"step": 35
},
{
"epoch": 0.18,
"learning_rate": 0.0001265000796044546,
"loss": 2.0885,
"step": 40
},
{
"epoch": 0.2,
"learning_rate": 0.00012375420314317213,
"loss": 2.1847,
"step": 45
},
{
"epoch": 0.23,
"learning_rate": 0.00012073231261202464,
"loss": 2.1728,
"step": 50
},
{
"epoch": 0.25,
"learning_rate": 0.00011744953078056836,
"loss": 2.0993,
"step": 55
},
{
"epoch": 0.27,
"learning_rate": 0.00011392228602455959,
"loss": 2.3687,
"step": 60
},
{
"epoch": 0.29,
"learning_rate": 0.0001101682301116794,
"loss": 1.9625,
"step": 65
},
{
"epoch": 0.32,
"learning_rate": 0.0001062061498649071,
"loss": 2.0389,
"step": 70
},
{
"epoch": 0.34,
"learning_rate": 0.00010205587314561534,
"loss": 2.098,
"step": 75
},
{
"epoch": 0.36,
"learning_rate": 9.773816962688569e-05,
"loss": 2.1281,
"step": 80
},
{
"epoch": 0.38,
"learning_rate": 9.327464685361516e-05,
"loss": 1.9415,
"step": 85
},
{
"epoch": 0.41,
"learning_rate": 8.868764210957135e-05,
"loss": 2.3485,
"step": 90
},
{
"epoch": 0.43,
"learning_rate": 8.400011063253747e-05,
"loss": 2.1515,
"step": 95
},
{
"epoch": 0.45,
"learning_rate": 7.923551073696397e-05,
"loss": 1.8548,
"step": 100
},
{
"epoch": 0.47,
"learning_rate": 7.441768641901993e-05,
"loss": 1.969,
"step": 105
},
{
"epoch": 0.5,
"learning_rate": 6.957074803153629e-05,
"loss": 2.0221,
"step": 110
},
{
"epoch": 0.52,
"learning_rate": 6.471895162599185e-05,
"loss": 2.0988,
"step": 115
},
{
"epoch": 0.54,
"learning_rate": 5.9886577565364115e-05,
"loss": 1.7345,
"step": 120
},
{
"epoch": 0.56,
"learning_rate": 5.509780901531541e-05,
"loss": 1.9466,
"step": 125
},
{
"epoch": 0.59,
"learning_rate": 5.037661092179389e-05,
"loss": 2.1125,
"step": 130
},
{
"epoch": 0.61,
"learning_rate": 4.574661008069485e-05,
"loss": 2.0488,
"step": 135
},
{
"epoch": 0.63,
"learning_rate": 4.123097689976244e-05,
"loss": 2.0849,
"step": 140
},
{
"epoch": 0.65,
"learning_rate": 3.685230944444331e-05,
"loss": 1.8891,
"step": 145
},
{
"epoch": 0.68,
"learning_rate": 3.263252034797391e-05,
"loss": 1.8136,
"step": 150
},
{
"epoch": 0.7,
"learning_rate": 2.8592727151649647e-05,
"loss": 1.9213,
"step": 155
},
{
"epoch": 0.72,
"learning_rate": 2.475314662405725e-05,
"loss": 1.9865,
"step": 160
},
{
"epoch": 0.74,
"learning_rate": 2.113299358814034e-05,
"loss": 2.2742,
"step": 165
},
{
"epoch": 0.77,
"learning_rate": 1.7750384762408767e-05,
"loss": 1.8535,
"step": 170
},
{
"epoch": 0.79,
"learning_rate": 1.4622248097508915e-05,
"loss": 2.1606,
"step": 175
},
{
"epoch": 0.81,
"learning_rate": 1.1764238061872434e-05,
"loss": 1.7923,
"step": 180
},
{
"epoch": 0.83,
"learning_rate": 9.190657300387505e-06,
"loss": 1.8476,
"step": 185
},
{
"epoch": 0.86,
"learning_rate": 6.91438505814559e-06,
"loss": 1.9976,
"step": 190
},
{
"epoch": 0.88,
"learning_rate": 4.9468127274594585e-06,
"loss": 1.9706,
"step": 195
},
{
"epoch": 0.9,
"learning_rate": 3.2977868407019207e-06,
"loss": 1.982,
"step": 200
},
{
"epoch": 0.92,
"learning_rate": 1.975559794252193e-06,
"loss": 1.9318,
"step": 205
},
{
"epoch": 0.95,
"learning_rate": 9.867485501471999e-07,
"loss": 2.035,
"step": 210
},
{
"epoch": 0.97,
"learning_rate": 3.363015221117509e-07,
"loss": 1.9653,
"step": 215
},
{
"epoch": 0.99,
"learning_rate": 2.7473811683140093e-08,
"loss": 1.8408,
"step": 220
},
{
"epoch": 1.0,
"eval_loss": 1.924851655960083,
"eval_runtime": 14.2025,
"eval_samples_per_second": 22.672,
"eval_steps_per_second": 2.887,
"step": 222
},
{
"epoch": 1.0,
"eval_loss": 1.7440342903137207,
"eval_runtime": 17.6835,
"eval_samples_per_second": 17.361,
"eval_steps_per_second": 2.205,
"step": 224
},
{
"epoch": 1.0,
"learning_rate": 6.746689293153874e-09,
"loss": 2.1578,
"step": 225
},
{
"epoch": 1.03,
"learning_rate": 2.427415035313232e-07,
"loss": 1.867,
"step": 230
},
{
"epoch": 1.05,
"learning_rate": 8.147449052190903e-07,
"loss": 1.7004,
"step": 235
},
{
"epoch": 1.07,
"learning_rate": 1.7199452243268996e-06,
"loss": 1.8748,
"step": 240
},
{
"epoch": 1.09,
"learning_rate": 2.9538929687704672e-06,
"loss": 1.7175,
"step": 245
},
{
"epoch": 1.12,
"learning_rate": 4.510522695790453e-06,
"loss": 1.9134,
"step": 250
},
{
"epoch": 1.14,
"learning_rate": 6.382182826501689e-06,
"loss": 1.8779,
"step": 255
},
{
"epoch": 1.16,
"learning_rate": 8.559673257059505e-06,
"loss": 1.9084,
"step": 260
},
{
"epoch": 1.18,
"learning_rate": 1.1032290581565944e-05,
"loss": 1.7949,
"step": 265
},
{
"epoch": 1.21,
"learning_rate": 1.3787880704424101e-05,
"loss": 1.7769,
"step": 270
},
{
"epoch": 1.23,
"learning_rate": 1.681289858352526e-05,
"loss": 1.724,
"step": 275
},
{
"epoch": 1.25,
"learning_rate": 2.009247481060283e-05,
"loss": 1.8311,
"step": 280
},
{
"epoch": 1.27,
"learning_rate": 2.3610488701478854e-05,
"loss": 1.7348,
"step": 285
},
{
"epoch": 1.29,
"learning_rate": 2.734964753692934e-05,
"loss": 1.768,
"step": 290
},
{
"epoch": 1.32,
"learning_rate": 3.129157156466198e-05,
"loss": 1.7488,
"step": 295
},
{
"epoch": 1.34,
"learning_rate": 3.541688434458052e-05,
"loss": 1.9316,
"step": 300
},
{
"epoch": 1.36,
"learning_rate": 3.970530799324656e-05,
"loss": 1.7607,
"step": 305
},
{
"epoch": 1.38,
"learning_rate": 4.413576285936533e-05,
"loss": 1.6681,
"step": 310
},
{
"epoch": 1.41,
"learning_rate": 4.8686471140343875e-05,
"loss": 2.065,
"step": 315
},
{
"epoch": 1.43,
"learning_rate": 5.333506393059682e-05,
"loss": 1.848,
"step": 320
},
{
"epoch": 1.45,
"learning_rate": 5.805869117540521e-05,
"loss": 1.8802,
"step": 325
},
{
"epoch": 1.47,
"learning_rate": 6.283413398985365e-05,
"loss": 1.7551,
"step": 330
},
{
"epoch": 1.5,
"learning_rate": 6.763791879074358e-05,
"loss": 1.7544,
"step": 335
},
{
"epoch": 1.52,
"learning_rate": 7.244643268047132e-05,
"loss": 1.793,
"step": 340
},
{
"epoch": 1.54,
"learning_rate": 7.723603951570171e-05,
"loss": 1.7917,
"step": 345
},
{
"epoch": 1.56,
"learning_rate": 8.19831960903064e-05,
"loss": 1.63,
"step": 350
},
{
"epoch": 1.58,
"learning_rate": 8.666456786147141e-05,
"loss": 2.0457,
"step": 355
},
{
"epoch": 1.61,
"learning_rate": 9.125714365012444e-05,
"loss": 2.0322,
"step": 360
},
{
"epoch": 1.63,
"learning_rate": 9.5738348751875e-05,
"loss": 1.687,
"step": 365
},
{
"epoch": 1.65,
"learning_rate": 0.00010008615590247305,
"loss": 1.9025,
"step": 370
},
{
"epoch": 1.67,
"learning_rate": 0.00010427919355233763,
"loss": 1.7503,
"step": 375
},
{
"epoch": 1.7,
"learning_rate": 0.00010829685091793463,
"loss": 1.7749,
"step": 380
},
{
"epoch": 1.72,
"learning_rate": 0.00011211937929362609,
"loss": 1.6852,
"step": 385
},
{
"epoch": 1.74,
"learning_rate": 0.00011572798912599424,
"loss": 1.8013,
"step": 390
},
{
"epoch": 1.76,
"learning_rate": 0.00011910494237347491,
"loss": 1.5069,
"step": 395
},
{
"epoch": 1.79,
"learning_rate": 0.00012223363969730684,
"loss": 1.5859,
"step": 400
},
{
"epoch": 1.81,
"learning_rate": 0.00012509870205521334,
"loss": 1.5894,
"step": 405
},
{
"epoch": 1.83,
"learning_rate": 0.00012768604629674322,
"loss": 1.9085,
"step": 410
},
{
"epoch": 1.85,
"learning_rate": 0.00012998295438868449,
"loss": 1.8982,
"step": 415
},
{
"epoch": 1.88,
"learning_rate": 0.00013197813593027427,
"loss": 1.9507,
"step": 420
},
{
"epoch": 1.9,
"learning_rate": 0.00013366178365091335,
"loss": 1.7504,
"step": 425
},
{
"epoch": 1.92,
"learning_rate": 0.00013502562161758715,
"loss": 1.7843,
"step": 430
},
{
"epoch": 1.94,
"learning_rate": 0.00013606294591503093,
"loss": 1.6083,
"step": 435
},
{
"epoch": 1.96,
"learning_rate": 0.00013676865759867644,
"loss": 1.5864,
"step": 440
},
{
"epoch": 1.99,
"learning_rate": 0.00013713928775840084,
"loss": 1.8849,
"step": 445
},
{
"epoch": 2.0,
"eval_loss": 1.5412778854370117,
"eval_runtime": 17.7637,
"eval_samples_per_second": 17.282,
"eval_steps_per_second": 2.195,
"step": 448
}
],
"max_steps": 448,
"num_train_epochs": 2,
"total_flos": 467712737280000.0,
"trial_name": null,
"trial_params": null
}