doja-cat / trainer_state.json
AlekseyKorshuk's picture
huggingartists
ae9c329
{
"best_metric": 2.7318851947784424,
"best_model_checkpoint": "output/doja-cat/checkpoint-335",
"epoch": 5.0,
"global_step": 335,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"learning_rate": 0.00013532330330528217,
"loss": 3.5814,
"step": 5
},
{
"epoch": 0.15,
"learning_rate": 0.00012979589515943672,
"loss": 3.3945,
"step": 10
},
{
"epoch": 0.22,
"learning_rate": 0.0001209202032183722,
"loss": 3.258,
"step": 15
},
{
"epoch": 0.3,
"learning_rate": 0.00010918185377156764,
"loss": 3.0648,
"step": 20
},
{
"epoch": 0.37,
"learning_rate": 9.522310109331633e-05,
"loss": 3.0572,
"step": 25
},
{
"epoch": 0.45,
"learning_rate": 7.980768702075116e-05,
"loss": 2.9453,
"step": 30
},
{
"epoch": 0.52,
"learning_rate": 6.377905343835293e-05,
"loss": 2.8372,
"step": 35
},
{
"epoch": 0.6,
"learning_rate": 4.8014194038976637e-05,
"loss": 2.8698,
"step": 40
},
{
"epoch": 0.67,
"learning_rate": 3.337567032488183e-05,
"loss": 2.9529,
"step": 45
},
{
"epoch": 0.75,
"learning_rate": 2.0664417254371463e-05,
"loss": 2.9508,
"step": 50
},
{
"epoch": 0.82,
"learning_rate": 1.0575920734825916e-05,
"loss": 2.9673,
"step": 55
},
{
"epoch": 0.9,
"learning_rate": 3.66216467507622e-06,
"loss": 3.0803,
"step": 60
},
{
"epoch": 0.97,
"learning_rate": 3.014296332977907e-07,
"loss": 2.8364,
"step": 65
},
{
"epoch": 1.0,
"eval_loss": 2.8956077098846436,
"eval_runtime": 3.3695,
"eval_samples_per_second": 21.368,
"eval_steps_per_second": 2.671,
"step": 67
},
{
"epoch": 1.04,
"learning_rate": 6.775955029229377e-07,
"loss": 2.9377,
"step": 70
},
{
"epoch": 1.12,
"learning_rate": 4.7700806733338495e-06,
"loss": 2.722,
"step": 75
},
{
"epoch": 1.19,
"learning_rate": 1.235496813600306e-05,
"loss": 2.6699,
"step": 80
},
{
"epoch": 1.27,
"learning_rate": 2.3017256922096845e-05,
"loss": 2.8672,
"step": 85
},
{
"epoch": 1.34,
"learning_rate": 3.6173568544064456e-05,
"loss": 2.812,
"step": 90
},
{
"epoch": 1.42,
"learning_rate": 5.110406607666898e-05,
"loss": 2.6143,
"step": 95
},
{
"epoch": 1.49,
"learning_rate": 6.699183945081632e-05,
"loss": 2.6499,
"step": 100
},
{
"epoch": 1.57,
"learning_rate": 8.296760202575751e-05,
"loss": 2.832,
"step": 105
},
{
"epoch": 1.64,
"learning_rate": 9.815725290295059e-05,
"loss": 2.6562,
"step": 110
},
{
"epoch": 1.72,
"learning_rate": 0.00011172970264813468,
"loss": 2.8987,
"step": 115
},
{
"epoch": 1.79,
"learning_rate": 0.00012294234567600346,
"loss": 2.705,
"step": 120
},
{
"epoch": 1.87,
"learning_rate": 0.00013118169131281192,
"loss": 2.5747,
"step": 125
},
{
"epoch": 1.94,
"learning_rate": 0.00013599693044126453,
"loss": 2.6942,
"step": 130
},
{
"epoch": 2.0,
"eval_loss": 2.8365488052368164,
"eval_runtime": 3.3573,
"eval_samples_per_second": 21.446,
"eval_steps_per_second": 2.681,
"step": 134
},
{
"epoch": 2.01,
"learning_rate": 0.0001371246011559198,
"loss": 2.804,
"step": 135
},
{
"epoch": 2.09,
"learning_rate": 0.00013450300386777127,
"loss": 2.4535,
"step": 140
},
{
"epoch": 2.16,
"learning_rate": 0.00012827557714724304,
"loss": 2.3801,
"step": 145
},
{
"epoch": 2.24,
"learning_rate": 0.00011878304959908774,
"loss": 2.5012,
"step": 150
},
{
"epoch": 2.31,
"learning_rate": 0.00010654479717298873,
"loss": 2.2923,
"step": 155
},
{
"epoch": 2.39,
"learning_rate": 9.223042592950526e-05,
"loss": 2.3414,
"step": 160
},
{
"epoch": 2.46,
"learning_rate": 7.662313508728495e-05,
"loss": 2.5064,
"step": 165
},
{
"epoch": 2.54,
"learning_rate": 6.0576864912715095e-05,
"loss": 2.5332,
"step": 170
},
{
"epoch": 2.61,
"learning_rate": 4.496957407049471e-05,
"loss": 2.4362,
"step": 175
},
{
"epoch": 2.69,
"learning_rate": 3.065520282701126e-05,
"loss": 2.4042,
"step": 180
},
{
"epoch": 2.76,
"learning_rate": 1.8416950400912332e-05,
"loss": 2.3006,
"step": 185
},
{
"epoch": 2.84,
"learning_rate": 8.924422852757e-06,
"loss": 2.3545,
"step": 190
},
{
"epoch": 2.91,
"learning_rate": 2.6969961322287634e-06,
"loss": 2.4371,
"step": 195
},
{
"epoch": 2.99,
"learning_rate": 7.53988440801922e-08,
"loss": 2.2676,
"step": 200
},
{
"epoch": 3.0,
"eval_loss": 2.7877070903778076,
"eval_runtime": 3.3652,
"eval_samples_per_second": 21.396,
"eval_steps_per_second": 2.674,
"step": 201
},
{
"epoch": 3.06,
"learning_rate": 1.2030695587354792e-06,
"loss": 2.4161,
"step": 205
},
{
"epoch": 3.13,
"learning_rate": 6.018308687188092e-06,
"loss": 2.3933,
"step": 210
},
{
"epoch": 3.21,
"learning_rate": 1.4257654323996543e-05,
"loss": 2.2934,
"step": 215
},
{
"epoch": 3.28,
"learning_rate": 2.5470297351865334e-05,
"loss": 2.2132,
"step": 220
},
{
"epoch": 3.36,
"learning_rate": 3.9042747097049484e-05,
"loss": 1.9654,
"step": 225
},
{
"epoch": 3.43,
"learning_rate": 5.423239797424245e-05,
"loss": 2.2451,
"step": 230
},
{
"epoch": 3.51,
"learning_rate": 7.020816054918364e-05,
"loss": 2.36,
"step": 235
},
{
"epoch": 3.58,
"learning_rate": 8.609593392333099e-05,
"loss": 2.3897,
"step": 240
},
{
"epoch": 3.66,
"learning_rate": 0.00010102643145593556,
"loss": 2.1583,
"step": 245
},
{
"epoch": 3.73,
"learning_rate": 0.00011418274307790318,
"loss": 2.3118,
"step": 250
},
{
"epoch": 3.81,
"learning_rate": 0.00012484503186399693,
"loss": 2.2451,
"step": 255
},
{
"epoch": 3.88,
"learning_rate": 0.00013242991932666616,
"loss": 2.131,
"step": 260
},
{
"epoch": 3.96,
"learning_rate": 0.00013652240449707706,
"loss": 2.0297,
"step": 265
},
{
"epoch": 4.0,
"eval_loss": 2.8032355308532715,
"eval_runtime": 3.3675,
"eval_samples_per_second": 21.381,
"eval_steps_per_second": 2.673,
"step": 268
},
{
"epoch": 4.03,
"learning_rate": 0.00013689857036670224,
"loss": 1.9968,
"step": 270
},
{
"epoch": 4.1,
"learning_rate": 0.0001335378353249238,
"loss": 2.1578,
"step": 275
},
{
"epoch": 4.18,
"learning_rate": 0.00012662407926517416,
"loss": 2.1444,
"step": 280
},
{
"epoch": 4.25,
"learning_rate": 0.00011653558274562858,
"loss": 1.9796,
"step": 285
},
{
"epoch": 4.33,
"learning_rate": 0.00010382432967511827,
"loss": 1.8756,
"step": 290
},
{
"epoch": 4.4,
"learning_rate": 8.918580596102339e-05,
"loss": 1.9379,
"step": 295
},
{
"epoch": 4.48,
"learning_rate": 7.342094656164722e-05,
"loss": 2.1349,
"step": 300
},
{
"epoch": 4.55,
"learning_rate": 5.739231297924882e-05,
"loss": 2.048,
"step": 305
},
{
"epoch": 4.63,
"learning_rate": 4.197689890668377e-05,
"loss": 1.8569,
"step": 310
},
{
"epoch": 4.7,
"learning_rate": 2.8018146228432437e-05,
"loss": 1.8989,
"step": 315
},
{
"epoch": 4.78,
"learning_rate": 1.6279796781627843e-05,
"loss": 2.258,
"step": 320
},
{
"epoch": 4.85,
"learning_rate": 7.404104840563317e-06,
"loss": 2.0248,
"step": 325
},
{
"epoch": 4.93,
"learning_rate": 1.8766966947178655e-06,
"loss": 1.8796,
"step": 330
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 1.8645,
"step": 335
},
{
"epoch": 5.0,
"eval_loss": 2.7318851947784424,
"eval_runtime": 3.3458,
"eval_samples_per_second": 21.519,
"eval_steps_per_second": 2.69,
"step": 335
}
],
"max_steps": 670,
"num_train_epochs": 10,
"total_flos": 348171632640000.0,
"trial_name": null,
"trial_params": null
}