GaetanMichelet's picture
Model save
ef97ec5 verified
{
"best_metric": 0.8620190620422363,
"best_model_checkpoint": "data/Gemma-2-2B_task-2_120-samples_config-1_full_auto/checkpoint-77",
"epoch": 14.0,
"eval_steps": 500,
"global_step": 154,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09090909090909091,
"grad_norm": 0.43156448006629944,
"learning_rate": 1.818181818181818e-06,
"loss": 1.226,
"step": 1
},
{
"epoch": 0.18181818181818182,
"grad_norm": 0.5782701969146729,
"learning_rate": 3.636363636363636e-06,
"loss": 1.4429,
"step": 2
},
{
"epoch": 0.36363636363636365,
"grad_norm": 0.4240364730358124,
"learning_rate": 7.272727272727272e-06,
"loss": 1.2635,
"step": 4
},
{
"epoch": 0.5454545454545454,
"grad_norm": 0.46736571192741394,
"learning_rate": 1.0909090909090909e-05,
"loss": 1.297,
"step": 6
},
{
"epoch": 0.7272727272727273,
"grad_norm": 0.4513182044029236,
"learning_rate": 1.4545454545454545e-05,
"loss": 1.3665,
"step": 8
},
{
"epoch": 0.9090909090909091,
"grad_norm": 0.4108898937702179,
"learning_rate": 1.8181818181818182e-05,
"loss": 1.2681,
"step": 10
},
{
"epoch": 1.0,
"eval_loss": 1.2884570360183716,
"eval_runtime": 9.6754,
"eval_samples_per_second": 2.481,
"eval_steps_per_second": 2.481,
"step": 11
},
{
"epoch": 1.0909090909090908,
"grad_norm": 0.45335185527801514,
"learning_rate": 2.1818181818181818e-05,
"loss": 1.3249,
"step": 12
},
{
"epoch": 1.2727272727272727,
"grad_norm": 0.3700883984565735,
"learning_rate": 2.5454545454545454e-05,
"loss": 1.2316,
"step": 14
},
{
"epoch": 1.4545454545454546,
"grad_norm": 0.4393417239189148,
"learning_rate": 2.909090909090909e-05,
"loss": 1.2719,
"step": 16
},
{
"epoch": 1.6363636363636362,
"grad_norm": 0.5480453372001648,
"learning_rate": 3.272727272727273e-05,
"loss": 1.27,
"step": 18
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.3178660571575165,
"learning_rate": 3.6363636363636364e-05,
"loss": 1.172,
"step": 20
},
{
"epoch": 2.0,
"grad_norm": 0.25591355562210083,
"learning_rate": 4e-05,
"loss": 1.0715,
"step": 22
},
{
"epoch": 2.0,
"eval_loss": 1.1368393898010254,
"eval_runtime": 9.3888,
"eval_samples_per_second": 2.556,
"eval_steps_per_second": 2.556,
"step": 22
},
{
"epoch": 2.1818181818181817,
"grad_norm": 0.22814896702766418,
"learning_rate": 4.3636363636363636e-05,
"loss": 1.1105,
"step": 24
},
{
"epoch": 2.3636363636363638,
"grad_norm": 0.30155879259109497,
"learning_rate": 4.7272727272727275e-05,
"loss": 1.1054,
"step": 26
},
{
"epoch": 2.5454545454545454,
"grad_norm": 0.26335978507995605,
"learning_rate": 5.090909090909091e-05,
"loss": 1.0451,
"step": 28
},
{
"epoch": 2.7272727272727275,
"grad_norm": 0.254153311252594,
"learning_rate": 5.4545454545454546e-05,
"loss": 1.0642,
"step": 30
},
{
"epoch": 2.909090909090909,
"grad_norm": 0.25019872188568115,
"learning_rate": 5.818181818181818e-05,
"loss": 1.0104,
"step": 32
},
{
"epoch": 3.0,
"eval_loss": 1.0255943536758423,
"eval_runtime": 9.3934,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 33
},
{
"epoch": 3.090909090909091,
"grad_norm": 0.2527143061161041,
"learning_rate": 6.181818181818182e-05,
"loss": 1.0364,
"step": 34
},
{
"epoch": 3.2727272727272725,
"grad_norm": 0.2616344690322876,
"learning_rate": 6.545454545454546e-05,
"loss": 0.9652,
"step": 36
},
{
"epoch": 3.4545454545454546,
"grad_norm": 0.33973056077957153,
"learning_rate": 6.90909090909091e-05,
"loss": 0.9506,
"step": 38
},
{
"epoch": 3.6363636363636362,
"grad_norm": 0.22250650823116302,
"learning_rate": 7.272727272727273e-05,
"loss": 0.8853,
"step": 40
},
{
"epoch": 3.8181818181818183,
"grad_norm": 0.28038284182548523,
"learning_rate": 7.636363636363637e-05,
"loss": 0.8553,
"step": 42
},
{
"epoch": 4.0,
"grad_norm": 0.2027643322944641,
"learning_rate": 8e-05,
"loss": 0.9392,
"step": 44
},
{
"epoch": 4.0,
"eval_loss": 0.9240176677703857,
"eval_runtime": 9.3906,
"eval_samples_per_second": 2.556,
"eval_steps_per_second": 2.556,
"step": 44
},
{
"epoch": 4.181818181818182,
"grad_norm": 0.20338939130306244,
"learning_rate": 8.363636363636364e-05,
"loss": 0.8421,
"step": 46
},
{
"epoch": 4.363636363636363,
"grad_norm": 0.20369814336299896,
"learning_rate": 8.727272727272727e-05,
"loss": 0.8727,
"step": 48
},
{
"epoch": 4.545454545454545,
"grad_norm": 0.18691229820251465,
"learning_rate": 9.090909090909092e-05,
"loss": 0.827,
"step": 50
},
{
"epoch": 4.7272727272727275,
"grad_norm": 0.22666899859905243,
"learning_rate": 9.454545454545455e-05,
"loss": 0.8454,
"step": 52
},
{
"epoch": 4.909090909090909,
"grad_norm": 0.17996296286582947,
"learning_rate": 9.818181818181818e-05,
"loss": 0.8623,
"step": 54
},
{
"epoch": 5.0,
"eval_loss": 0.8879290223121643,
"eval_runtime": 9.3876,
"eval_samples_per_second": 2.557,
"eval_steps_per_second": 2.557,
"step": 55
},
{
"epoch": 5.090909090909091,
"grad_norm": 0.17760373651981354,
"learning_rate": 9.999899300364532e-05,
"loss": 0.8081,
"step": 56
},
{
"epoch": 5.2727272727272725,
"grad_norm": 0.19263812899589539,
"learning_rate": 9.99909372761763e-05,
"loss": 0.8386,
"step": 58
},
{
"epoch": 5.454545454545454,
"grad_norm": 0.1968223601579666,
"learning_rate": 9.997482711915927e-05,
"loss": 0.7679,
"step": 60
},
{
"epoch": 5.636363636363637,
"grad_norm": 0.1900816708803177,
"learning_rate": 9.99506651282272e-05,
"loss": 0.7929,
"step": 62
},
{
"epoch": 5.818181818181818,
"grad_norm": 0.19545985758304596,
"learning_rate": 9.991845519630678e-05,
"loss": 0.7844,
"step": 64
},
{
"epoch": 6.0,
"grad_norm": 0.19075007736682892,
"learning_rate": 9.987820251299122e-05,
"loss": 0.8299,
"step": 66
},
{
"epoch": 6.0,
"eval_loss": 0.8687613010406494,
"eval_runtime": 9.387,
"eval_samples_per_second": 2.557,
"eval_steps_per_second": 2.557,
"step": 66
},
{
"epoch": 6.181818181818182,
"grad_norm": 0.21089905500411987,
"learning_rate": 9.982991356370404e-05,
"loss": 0.7404,
"step": 68
},
{
"epoch": 6.363636363636363,
"grad_norm": 0.20160414278507233,
"learning_rate": 9.977359612865423e-05,
"loss": 0.7853,
"step": 70
},
{
"epoch": 6.545454545454545,
"grad_norm": 0.21511638164520264,
"learning_rate": 9.970925928158274e-05,
"loss": 0.7209,
"step": 72
},
{
"epoch": 6.7272727272727275,
"grad_norm": 0.23202964663505554,
"learning_rate": 9.963691338830044e-05,
"loss": 0.76,
"step": 74
},
{
"epoch": 6.909090909090909,
"grad_norm": 0.23653540015220642,
"learning_rate": 9.955657010501806e-05,
"loss": 0.7975,
"step": 76
},
{
"epoch": 7.0,
"eval_loss": 0.8620190620422363,
"eval_runtime": 9.3878,
"eval_samples_per_second": 2.557,
"eval_steps_per_second": 2.557,
"step": 77
},
{
"epoch": 7.090909090909091,
"grad_norm": 0.20377208292484283,
"learning_rate": 9.946824237646824e-05,
"loss": 0.8173,
"step": 78
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.2544645667076111,
"learning_rate": 9.937194443381972e-05,
"loss": 0.6958,
"step": 80
},
{
"epoch": 7.454545454545454,
"grad_norm": 0.22579969465732574,
"learning_rate": 9.926769179238466e-05,
"loss": 0.6893,
"step": 82
},
{
"epoch": 7.636363636363637,
"grad_norm": 0.24581699073314667,
"learning_rate": 9.915550124911866e-05,
"loss": 0.7222,
"step": 84
},
{
"epoch": 7.818181818181818,
"grad_norm": 0.4889249801635742,
"learning_rate": 9.903539087991462e-05,
"loss": 0.7172,
"step": 86
},
{
"epoch": 8.0,
"grad_norm": 0.2468501627445221,
"learning_rate": 9.890738003669029e-05,
"loss": 0.7553,
"step": 88
},
{
"epoch": 8.0,
"eval_loss": 0.862983226776123,
"eval_runtime": 9.3927,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 88
},
{
"epoch": 8.181818181818182,
"grad_norm": 0.2589528262615204,
"learning_rate": 9.877148934427037e-05,
"loss": 0.7093,
"step": 90
},
{
"epoch": 8.363636363636363,
"grad_norm": 0.2995380759239197,
"learning_rate": 9.862774069706346e-05,
"loss": 0.6612,
"step": 92
},
{
"epoch": 8.545454545454545,
"grad_norm": 0.30884915590286255,
"learning_rate": 9.847615725553456e-05,
"loss": 0.7043,
"step": 94
},
{
"epoch": 8.727272727272727,
"grad_norm": 0.3667954206466675,
"learning_rate": 9.831676344247342e-05,
"loss": 0.6365,
"step": 96
},
{
"epoch": 8.909090909090908,
"grad_norm": 0.34860759973526,
"learning_rate": 9.814958493905963e-05,
"loss": 0.6918,
"step": 98
},
{
"epoch": 9.0,
"eval_loss": 0.8763653635978699,
"eval_runtime": 9.3944,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 99
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.3606255352497101,
"learning_rate": 9.797464868072488e-05,
"loss": 0.6932,
"step": 100
},
{
"epoch": 9.272727272727273,
"grad_norm": 0.34833142161369324,
"learning_rate": 9.779198285281325e-05,
"loss": 0.6079,
"step": 102
},
{
"epoch": 9.454545454545455,
"grad_norm": 0.44239556789398193,
"learning_rate": 9.760161688604008e-05,
"loss": 0.6113,
"step": 104
},
{
"epoch": 9.636363636363637,
"grad_norm": 0.39836251735687256,
"learning_rate": 9.740358145174998e-05,
"loss": 0.6802,
"step": 106
},
{
"epoch": 9.818181818181818,
"grad_norm": 0.4025746285915375,
"learning_rate": 9.719790845697533e-05,
"loss": 0.6326,
"step": 108
},
{
"epoch": 10.0,
"grad_norm": 0.449406236410141,
"learning_rate": 9.698463103929542e-05,
"loss": 0.6005,
"step": 110
},
{
"epoch": 10.0,
"eval_loss": 0.9124259352684021,
"eval_runtime": 9.3972,
"eval_samples_per_second": 2.554,
"eval_steps_per_second": 2.554,
"step": 110
},
{
"epoch": 10.181818181818182,
"grad_norm": 0.45643338561058044,
"learning_rate": 9.676378356149734e-05,
"loss": 0.5658,
"step": 112
},
{
"epoch": 10.363636363636363,
"grad_norm": 0.4876292049884796,
"learning_rate": 9.653540160603956e-05,
"loss": 0.5607,
"step": 114
},
{
"epoch": 10.545454545454545,
"grad_norm": 0.5747207999229431,
"learning_rate": 9.629952196931901e-05,
"loss": 0.563,
"step": 116
},
{
"epoch": 10.727272727272727,
"grad_norm": 0.560712993144989,
"learning_rate": 9.60561826557425e-05,
"loss": 0.5554,
"step": 118
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.5259386897087097,
"learning_rate": 9.580542287160348e-05,
"loss": 0.6021,
"step": 120
},
{
"epoch": 11.0,
"eval_loss": 0.9519934058189392,
"eval_runtime": 9.3951,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 121
},
{
"epoch": 11.090909090909092,
"grad_norm": 0.6063818335533142,
"learning_rate": 9.554728301876526e-05,
"loss": 0.5445,
"step": 122
},
{
"epoch": 11.272727272727273,
"grad_norm": 0.7460753321647644,
"learning_rate": 9.528180468815155e-05,
"loss": 0.5051,
"step": 124
},
{
"epoch": 11.454545454545455,
"grad_norm": 0.6494155526161194,
"learning_rate": 9.50090306530454e-05,
"loss": 0.5097,
"step": 126
},
{
"epoch": 11.636363636363637,
"grad_norm": 2.544689655303955,
"learning_rate": 9.472900486219769e-05,
"loss": 0.5396,
"step": 128
},
{
"epoch": 11.818181818181818,
"grad_norm": 0.7475159168243408,
"learning_rate": 9.444177243274618e-05,
"loss": 0.5141,
"step": 130
},
{
"epoch": 12.0,
"grad_norm": 0.6875072717666626,
"learning_rate": 9.414737964294636e-05,
"loss": 0.4832,
"step": 132
},
{
"epoch": 12.0,
"eval_loss": 1.016729712486267,
"eval_runtime": 9.3906,
"eval_samples_per_second": 2.556,
"eval_steps_per_second": 2.556,
"step": 132
},
{
"epoch": 12.181818181818182,
"grad_norm": 0.7332088351249695,
"learning_rate": 9.384587392471515e-05,
"loss": 0.4737,
"step": 134
},
{
"epoch": 12.363636363636363,
"grad_norm": 0.7360023260116577,
"learning_rate": 9.353730385598887e-05,
"loss": 0.4263,
"step": 136
},
{
"epoch": 12.545454545454545,
"grad_norm": 0.7788746356964111,
"learning_rate": 9.322171915289635e-05,
"loss": 0.4503,
"step": 138
},
{
"epoch": 12.727272727272727,
"grad_norm": 0.8412120938301086,
"learning_rate": 9.289917066174886e-05,
"loss": 0.4398,
"step": 140
},
{
"epoch": 12.909090909090908,
"grad_norm": 0.7447380423545837,
"learning_rate": 9.256971035084785e-05,
"loss": 0.5046,
"step": 142
},
{
"epoch": 13.0,
"eval_loss": 1.0760546922683716,
"eval_runtime": 9.3947,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 143
},
{
"epoch": 13.090909090909092,
"grad_norm": 0.8211064338684082,
"learning_rate": 9.223339130211192e-05,
"loss": 0.3545,
"step": 144
},
{
"epoch": 13.272727272727273,
"grad_norm": 1.4348950386047363,
"learning_rate": 9.189026770252436e-05,
"loss": 0.4168,
"step": 146
},
{
"epoch": 13.454545454545455,
"grad_norm": 0.810494601726532,
"learning_rate": 9.154039483540273e-05,
"loss": 0.4436,
"step": 148
},
{
"epoch": 13.636363636363637,
"grad_norm": 0.9057369828224182,
"learning_rate": 9.118382907149165e-05,
"loss": 0.3904,
"step": 150
},
{
"epoch": 13.818181818181818,
"grad_norm": 1.0466903448104858,
"learning_rate": 9.082062785988049e-05,
"loss": 0.373,
"step": 152
},
{
"epoch": 14.0,
"grad_norm": 0.8568995594978333,
"learning_rate": 9.045084971874738e-05,
"loss": 0.3353,
"step": 154
},
{
"epoch": 14.0,
"eval_loss": 1.1757985353469849,
"eval_runtime": 9.3941,
"eval_samples_per_second": 2.555,
"eval_steps_per_second": 2.555,
"step": 154
},
{
"epoch": 14.0,
"step": 154,
"total_flos": 4.142690421702656e+16,
"train_loss": 0.7778143480226591,
"train_runtime": 1774.7755,
"train_samples_per_second": 2.479,
"train_steps_per_second": 0.31
}
],
"logging_steps": 2,
"max_steps": 550,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 7,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 4.142690421702656e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}