minhah's picture
End of training
ec20d39 verified
{
"best_metric": 0.6670854271356784,
"best_model_checkpoint": "videomae-base-finetuned-ElderReact-Surprise11/checkpoint-195",
"epoch": 9.076315789473684,
"eval_steps": 500,
"global_step": 380,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"grad_norm": 3.594555377960205,
"learning_rate": 1.3157894736842106e-05,
"loss": 0.7595,
"step": 10
},
{
"epoch": 0.05,
"grad_norm": 3.358711004257202,
"learning_rate": 2.6315789473684212e-05,
"loss": 0.6991,
"step": 20
},
{
"epoch": 0.08,
"grad_norm": 2.800182342529297,
"learning_rate": 3.9473684210526316e-05,
"loss": 0.7047,
"step": 30
},
{
"epoch": 0.1,
"eval_accuracy": 0.5891959798994975,
"eval_loss": 0.6541748046875,
"eval_runtime": 222.5887,
"eval_samples_per_second": 3.576,
"eval_steps_per_second": 0.225,
"step": 39
},
{
"epoch": 1.0,
"grad_norm": 5.824236869812012,
"learning_rate": 4.970760233918128e-05,
"loss": 0.6805,
"step": 40
},
{
"epoch": 1.03,
"grad_norm": 6.393433094024658,
"learning_rate": 4.824561403508772e-05,
"loss": 0.6454,
"step": 50
},
{
"epoch": 1.06,
"grad_norm": 3.4522626399993896,
"learning_rate": 4.678362573099415e-05,
"loss": 0.6746,
"step": 60
},
{
"epoch": 1.08,
"grad_norm": 3.465517520904541,
"learning_rate": 4.5321637426900585e-05,
"loss": 0.7111,
"step": 70
},
{
"epoch": 1.1,
"eval_accuracy": 0.585427135678392,
"eval_loss": 0.6550820469856262,
"eval_runtime": 189.1721,
"eval_samples_per_second": 4.208,
"eval_steps_per_second": 0.264,
"step": 78
},
{
"epoch": 2.01,
"grad_norm": 1.5881491899490356,
"learning_rate": 4.3859649122807014e-05,
"loss": 0.6761,
"step": 80
},
{
"epoch": 2.03,
"grad_norm": 2.0569772720336914,
"learning_rate": 4.239766081871345e-05,
"loss": 0.657,
"step": 90
},
{
"epoch": 2.06,
"grad_norm": 4.930370330810547,
"learning_rate": 4.093567251461988e-05,
"loss": 0.6329,
"step": 100
},
{
"epoch": 2.08,
"grad_norm": 4.686254024505615,
"learning_rate": 3.9473684210526316e-05,
"loss": 0.6839,
"step": 110
},
{
"epoch": 2.1,
"eval_accuracy": 0.6507537688442211,
"eval_loss": 0.6406037211418152,
"eval_runtime": 197.8228,
"eval_samples_per_second": 4.024,
"eval_steps_per_second": 0.253,
"step": 117
},
{
"epoch": 3.01,
"grad_norm": 2.4547111988067627,
"learning_rate": 3.8011695906432746e-05,
"loss": 0.7011,
"step": 120
},
{
"epoch": 3.03,
"grad_norm": 9.182774543762207,
"learning_rate": 3.654970760233918e-05,
"loss": 0.6745,
"step": 130
},
{
"epoch": 3.06,
"grad_norm": 6.363346099853516,
"learning_rate": 3.508771929824561e-05,
"loss": 0.6615,
"step": 140
},
{
"epoch": 3.09,
"grad_norm": 2.053642988204956,
"learning_rate": 3.362573099415205e-05,
"loss": 0.6872,
"step": 150
},
{
"epoch": 3.1,
"eval_accuracy": 0.6306532663316583,
"eval_loss": 0.631442129611969,
"eval_runtime": 192.6912,
"eval_samples_per_second": 4.131,
"eval_steps_per_second": 0.259,
"step": 156
},
{
"epoch": 4.01,
"grad_norm": 2.378765821456909,
"learning_rate": 3.216374269005848e-05,
"loss": 0.6168,
"step": 160
},
{
"epoch": 4.04,
"grad_norm": 4.013543605804443,
"learning_rate": 3.0701754385964913e-05,
"loss": 0.6156,
"step": 170
},
{
"epoch": 4.06,
"grad_norm": 3.605048656463623,
"learning_rate": 2.9239766081871346e-05,
"loss": 0.6783,
"step": 180
},
{
"epoch": 4.09,
"grad_norm": 2.6724507808685303,
"learning_rate": 2.777777777777778e-05,
"loss": 0.6678,
"step": 190
},
{
"epoch": 4.1,
"eval_accuracy": 0.6670854271356784,
"eval_loss": 0.6236329674720764,
"eval_runtime": 195.2419,
"eval_samples_per_second": 4.077,
"eval_steps_per_second": 0.256,
"step": 195
},
{
"epoch": 5.01,
"grad_norm": 6.503556251525879,
"learning_rate": 2.6315789473684212e-05,
"loss": 0.6341,
"step": 200
},
{
"epoch": 5.04,
"grad_norm": 1.863840103149414,
"learning_rate": 2.485380116959064e-05,
"loss": 0.6398,
"step": 210
},
{
"epoch": 5.07,
"grad_norm": 3.606435537338257,
"learning_rate": 2.3391812865497074e-05,
"loss": 0.6361,
"step": 220
},
{
"epoch": 5.09,
"grad_norm": 5.716346740722656,
"learning_rate": 2.1929824561403507e-05,
"loss": 0.5806,
"step": 230
},
{
"epoch": 5.1,
"eval_accuracy": 0.6482412060301508,
"eval_loss": 0.6078271865844727,
"eval_runtime": 193.0001,
"eval_samples_per_second": 4.124,
"eval_steps_per_second": 0.259,
"step": 234
},
{
"epoch": 6.02,
"grad_norm": 2.487823486328125,
"learning_rate": 2.046783625730994e-05,
"loss": 0.6345,
"step": 240
},
{
"epoch": 6.04,
"grad_norm": 4.1022629737854,
"learning_rate": 1.9005847953216373e-05,
"loss": 0.6229,
"step": 250
},
{
"epoch": 6.07,
"grad_norm": 2.2805275917053223,
"learning_rate": 1.7543859649122806e-05,
"loss": 0.6239,
"step": 260
},
{
"epoch": 6.09,
"grad_norm": 2.4343156814575195,
"learning_rate": 1.608187134502924e-05,
"loss": 0.5697,
"step": 270
},
{
"epoch": 6.1,
"eval_accuracy": 0.5979899497487438,
"eval_loss": 0.6825251579284668,
"eval_runtime": 189.4608,
"eval_samples_per_second": 4.201,
"eval_steps_per_second": 0.264,
"step": 273
},
{
"epoch": 7.02,
"grad_norm": 3.1624414920806885,
"learning_rate": 1.4619883040935673e-05,
"loss": 0.5657,
"step": 280
},
{
"epoch": 7.04,
"grad_norm": 4.5414958000183105,
"learning_rate": 1.3157894736842106e-05,
"loss": 0.6419,
"step": 290
},
{
"epoch": 7.07,
"grad_norm": 4.060510158538818,
"learning_rate": 1.1695906432748537e-05,
"loss": 0.5491,
"step": 300
},
{
"epoch": 7.1,
"grad_norm": 4.565443992614746,
"learning_rate": 1.023391812865497e-05,
"loss": 0.6127,
"step": 310
},
{
"epoch": 7.1,
"eval_accuracy": 0.6005025125628141,
"eval_loss": 0.6445818543434143,
"eval_runtime": 190.0918,
"eval_samples_per_second": 4.187,
"eval_steps_per_second": 0.263,
"step": 312
},
{
"epoch": 8.02,
"grad_norm": 2.4785315990448,
"learning_rate": 8.771929824561403e-06,
"loss": 0.6422,
"step": 320
},
{
"epoch": 8.05,
"grad_norm": 4.520650386810303,
"learning_rate": 7.3099415204678366e-06,
"loss": 0.562,
"step": 330
},
{
"epoch": 8.07,
"grad_norm": 2.4147799015045166,
"learning_rate": 5.8479532163742686e-06,
"loss": 0.5909,
"step": 340
},
{
"epoch": 8.1,
"grad_norm": 5.0589919090271,
"learning_rate": 4.3859649122807014e-06,
"loss": 0.5645,
"step": 350
},
{
"epoch": 8.1,
"eval_accuracy": 0.6306532663316583,
"eval_loss": 0.6240276098251343,
"eval_runtime": 195.3851,
"eval_samples_per_second": 4.074,
"eval_steps_per_second": 0.256,
"step": 351
},
{
"epoch": 9.02,
"grad_norm": 3.9938855171203613,
"learning_rate": 2.9239766081871343e-06,
"loss": 0.5564,
"step": 360
},
{
"epoch": 9.05,
"grad_norm": 5.353033065795898,
"learning_rate": 1.4619883040935671e-06,
"loss": 0.5628,
"step": 370
},
{
"epoch": 9.08,
"grad_norm": 2.4078638553619385,
"learning_rate": 0.0,
"loss": 0.549,
"step": 380
},
{
"epoch": 9.08,
"eval_accuracy": 0.6180904522613065,
"eval_loss": 0.6290447115898132,
"eval_runtime": 190.6021,
"eval_samples_per_second": 4.176,
"eval_steps_per_second": 0.262,
"step": 380
},
{
"epoch": 9.08,
"step": 380,
"total_flos": 7.475141472240992e+18,
"train_loss": 0.6359516570442602,
"train_runtime": 3680.9423,
"train_samples_per_second": 1.652,
"train_steps_per_second": 0.103
},
{
"epoch": 9.08,
"eval_accuracy": 0.652,
"eval_loss": 0.638110339641571,
"eval_runtime": 181.9234,
"eval_samples_per_second": 4.123,
"eval_steps_per_second": 0.258,
"step": 380
},
{
"epoch": 9.08,
"eval_accuracy": 0.652,
"eval_loss": 0.6381102800369263,
"eval_runtime": 177.1077,
"eval_samples_per_second": 4.235,
"eval_steps_per_second": 0.265,
"step": 380
}
],
"logging_steps": 10,
"max_steps": 380,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"total_flos": 7.475141472240992e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}