ninhnguyendx779's picture
End of training
8d199d6 verified
{
"best_metric": 0.9857142857142858,
"best_model_checkpoint": "videomae-small-finetuned-kinetics-finetuned-ucf101-subset/checkpoint-300",
"epoch": 3.25,
"eval_steps": 500,
"global_step": 600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"grad_norm": 10.107406616210938,
"learning_rate": 8.333333333333334e-06,
"loss": 2.3241,
"step": 10
},
{
"epoch": 0.03,
"grad_norm": 9.185954093933105,
"learning_rate": 1.6666666666666667e-05,
"loss": 2.3329,
"step": 20
},
{
"epoch": 0.05,
"grad_norm": 9.057476043701172,
"learning_rate": 2.5e-05,
"loss": 2.249,
"step": 30
},
{
"epoch": 0.07,
"grad_norm": 10.952166557312012,
"learning_rate": 3.3333333333333335e-05,
"loss": 2.1501,
"step": 40
},
{
"epoch": 0.08,
"grad_norm": 12.320801734924316,
"learning_rate": 4.166666666666667e-05,
"loss": 1.9362,
"step": 50
},
{
"epoch": 0.1,
"grad_norm": 9.885478973388672,
"learning_rate": 5e-05,
"loss": 1.9542,
"step": 60
},
{
"epoch": 0.12,
"grad_norm": 11.586761474609375,
"learning_rate": 4.9074074074074075e-05,
"loss": 1.7627,
"step": 70
},
{
"epoch": 0.13,
"grad_norm": 14.895970344543457,
"learning_rate": 4.814814814814815e-05,
"loss": 1.4858,
"step": 80
},
{
"epoch": 0.15,
"grad_norm": 12.182781219482422,
"learning_rate": 4.722222222222222e-05,
"loss": 1.5468,
"step": 90
},
{
"epoch": 0.17,
"grad_norm": 11.095314979553223,
"learning_rate": 4.62962962962963e-05,
"loss": 1.3455,
"step": 100
},
{
"epoch": 0.18,
"grad_norm": 15.226543426513672,
"learning_rate": 4.5370370370370374e-05,
"loss": 1.2495,
"step": 110
},
{
"epoch": 0.2,
"grad_norm": 7.219595432281494,
"learning_rate": 4.4444444444444447e-05,
"loss": 1.2843,
"step": 120
},
{
"epoch": 0.22,
"grad_norm": 8.71719741821289,
"learning_rate": 4.351851851851852e-05,
"loss": 1.0719,
"step": 130
},
{
"epoch": 0.23,
"grad_norm": 10.525912284851074,
"learning_rate": 4.259259259259259e-05,
"loss": 1.1183,
"step": 140
},
{
"epoch": 0.25,
"grad_norm": 11.814860343933105,
"learning_rate": 4.166666666666667e-05,
"loss": 1.0253,
"step": 150
},
{
"epoch": 0.25,
"eval_accuracy": 0.9,
"eval_loss": 0.9131744503974915,
"eval_runtime": 11.1598,
"eval_samples_per_second": 6.273,
"eval_steps_per_second": 3.136,
"step": 150
},
{
"epoch": 1.02,
"grad_norm": 8.825668334960938,
"learning_rate": 4.074074074074074e-05,
"loss": 0.7737,
"step": 160
},
{
"epoch": 1.03,
"grad_norm": 7.7434401512146,
"learning_rate": 3.981481481481482e-05,
"loss": 0.8706,
"step": 170
},
{
"epoch": 1.05,
"grad_norm": 8.683493614196777,
"learning_rate": 3.888888888888889e-05,
"loss": 0.6771,
"step": 180
},
{
"epoch": 1.07,
"grad_norm": 10.121947288513184,
"learning_rate": 3.7962962962962964e-05,
"loss": 0.5947,
"step": 190
},
{
"epoch": 1.08,
"grad_norm": 12.381387710571289,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.5723,
"step": 200
},
{
"epoch": 1.1,
"grad_norm": 6.67233419418335,
"learning_rate": 3.611111111111111e-05,
"loss": 0.517,
"step": 210
},
{
"epoch": 1.12,
"grad_norm": 14.212167739868164,
"learning_rate": 3.518518518518519e-05,
"loss": 0.5525,
"step": 220
},
{
"epoch": 1.13,
"grad_norm": 6.088913440704346,
"learning_rate": 3.425925925925926e-05,
"loss": 0.5391,
"step": 230
},
{
"epoch": 1.15,
"grad_norm": 3.7612547874450684,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.5433,
"step": 240
},
{
"epoch": 1.17,
"grad_norm": 19.784332275390625,
"learning_rate": 3.240740740740741e-05,
"loss": 0.5314,
"step": 250
},
{
"epoch": 1.18,
"grad_norm": 3.197401523590088,
"learning_rate": 3.148148148148148e-05,
"loss": 0.3408,
"step": 260
},
{
"epoch": 1.2,
"grad_norm": 17.882139205932617,
"learning_rate": 3.055555555555556e-05,
"loss": 0.4107,
"step": 270
},
{
"epoch": 1.22,
"grad_norm": 3.921525239944458,
"learning_rate": 2.962962962962963e-05,
"loss": 0.2736,
"step": 280
},
{
"epoch": 1.23,
"grad_norm": 3.377349615097046,
"learning_rate": 2.8703703703703706e-05,
"loss": 0.3586,
"step": 290
},
{
"epoch": 1.25,
"grad_norm": 2.598513603210449,
"learning_rate": 2.777777777777778e-05,
"loss": 0.4108,
"step": 300
},
{
"epoch": 1.25,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.35705387592315674,
"eval_runtime": 11.0323,
"eval_samples_per_second": 6.345,
"eval_steps_per_second": 3.173,
"step": 300
},
{
"epoch": 2.02,
"grad_norm": 2.1947929859161377,
"learning_rate": 2.6851851851851855e-05,
"loss": 0.1908,
"step": 310
},
{
"epoch": 2.03,
"grad_norm": 5.048274040222168,
"learning_rate": 2.5925925925925925e-05,
"loss": 0.1773,
"step": 320
},
{
"epoch": 2.05,
"grad_norm": 27.889989852905273,
"learning_rate": 2.5e-05,
"loss": 0.3617,
"step": 330
},
{
"epoch": 2.07,
"grad_norm": 7.93351936340332,
"learning_rate": 2.4074074074074074e-05,
"loss": 0.1977,
"step": 340
},
{
"epoch": 2.08,
"grad_norm": 5.7223687171936035,
"learning_rate": 2.314814814814815e-05,
"loss": 0.294,
"step": 350
},
{
"epoch": 2.1,
"grad_norm": 1.6956955194473267,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.1919,
"step": 360
},
{
"epoch": 2.12,
"grad_norm": 1.247668981552124,
"learning_rate": 2.1296296296296296e-05,
"loss": 0.1648,
"step": 370
},
{
"epoch": 2.13,
"grad_norm": 2.6172192096710205,
"learning_rate": 2.037037037037037e-05,
"loss": 0.1725,
"step": 380
},
{
"epoch": 2.15,
"grad_norm": 1.0564138889312744,
"learning_rate": 1.9444444444444445e-05,
"loss": 0.1309,
"step": 390
},
{
"epoch": 2.17,
"grad_norm": 1.1969168186187744,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1417,
"step": 400
},
{
"epoch": 2.18,
"grad_norm": 4.431863784790039,
"learning_rate": 1.7592592592592595e-05,
"loss": 0.1201,
"step": 410
},
{
"epoch": 2.2,
"grad_norm": 2.5482935905456543,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.1148,
"step": 420
},
{
"epoch": 2.22,
"grad_norm": 1.0731251239776611,
"learning_rate": 1.574074074074074e-05,
"loss": 0.1323,
"step": 430
},
{
"epoch": 2.23,
"grad_norm": 10.92293643951416,
"learning_rate": 1.4814814814814815e-05,
"loss": 0.1361,
"step": 440
},
{
"epoch": 2.25,
"grad_norm": 3.3526909351348877,
"learning_rate": 1.388888888888889e-05,
"loss": 0.1051,
"step": 450
},
{
"epoch": 2.25,
"eval_accuracy": 0.8714285714285714,
"eval_loss": 0.39677634835243225,
"eval_runtime": 10.9089,
"eval_samples_per_second": 6.417,
"eval_steps_per_second": 3.208,
"step": 450
},
{
"epoch": 3.02,
"grad_norm": 0.9733325839042664,
"learning_rate": 1.2962962962962962e-05,
"loss": 0.0886,
"step": 460
},
{
"epoch": 3.03,
"grad_norm": 3.1266071796417236,
"learning_rate": 1.2037037037037037e-05,
"loss": 0.084,
"step": 470
},
{
"epoch": 3.05,
"grad_norm": 0.8183128237724304,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.0884,
"step": 480
},
{
"epoch": 3.07,
"grad_norm": 0.6514427065849304,
"learning_rate": 1.0185185185185185e-05,
"loss": 0.084,
"step": 490
},
{
"epoch": 3.08,
"grad_norm": 0.8285560011863708,
"learning_rate": 9.259259259259259e-06,
"loss": 0.1815,
"step": 500
},
{
"epoch": 3.1,
"grad_norm": 1.0948920249938965,
"learning_rate": 8.333333333333334e-06,
"loss": 0.0902,
"step": 510
},
{
"epoch": 3.12,
"grad_norm": 0.9514235854148865,
"learning_rate": 7.4074074074074075e-06,
"loss": 0.1251,
"step": 520
},
{
"epoch": 3.13,
"grad_norm": 3.346337080001831,
"learning_rate": 6.481481481481481e-06,
"loss": 0.0929,
"step": 530
},
{
"epoch": 3.15,
"grad_norm": 0.788431704044342,
"learning_rate": 5.555555555555556e-06,
"loss": 0.1483,
"step": 540
},
{
"epoch": 3.17,
"grad_norm": 0.8212040662765503,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.0753,
"step": 550
},
{
"epoch": 3.18,
"grad_norm": 0.6672505736351013,
"learning_rate": 3.7037037037037037e-06,
"loss": 0.0918,
"step": 560
},
{
"epoch": 3.2,
"grad_norm": 0.7973439693450928,
"learning_rate": 2.777777777777778e-06,
"loss": 0.0858,
"step": 570
},
{
"epoch": 3.22,
"grad_norm": 0.8263640999794006,
"learning_rate": 1.8518518518518519e-06,
"loss": 0.0764,
"step": 580
},
{
"epoch": 3.23,
"grad_norm": 0.7566823363304138,
"learning_rate": 9.259259259259259e-07,
"loss": 0.0951,
"step": 590
},
{
"epoch": 3.25,
"grad_norm": 3.032885789871216,
"learning_rate": 0.0,
"loss": 0.1796,
"step": 600
},
{
"epoch": 3.25,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.12802168726921082,
"eval_runtime": 11.5146,
"eval_samples_per_second": 6.079,
"eval_steps_per_second": 3.04,
"step": 600
},
{
"epoch": 3.25,
"step": 600,
"total_flos": 3.794829164937216e+17,
"train_loss": 0.6170218646526336,
"train_runtime": 427.577,
"train_samples_per_second": 2.807,
"train_steps_per_second": 1.403
},
{
"epoch": 3.25,
"eval_accuracy": 0.9354838709677419,
"eval_loss": 0.4149034917354584,
"eval_runtime": 25.1037,
"eval_samples_per_second": 6.174,
"eval_steps_per_second": 3.107,
"step": 600
},
{
"epoch": 3.25,
"eval_accuracy": 0.9354838709677419,
"eval_loss": 0.414903461933136,
"eval_runtime": 24.3949,
"eval_samples_per_second": 6.354,
"eval_steps_per_second": 3.197,
"step": 600
}
],
"logging_steps": 10,
"max_steps": 600,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"total_flos": 3.794829164937216e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}