GaetanMichelet's picture
Model save
dc4f89b verified
{
"best_metric": 0.4495352804660797,
"best_model_checkpoint": "data/Gemma-2-2B_task-3_120-samples_config-2/checkpoint-44",
"epoch": 14.909090909090908,
"eval_steps": 500,
"global_step": 82,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18181818181818182,
"grad_norm": 8.376895904541016,
"learning_rate": 4.000000000000001e-06,
"loss": 3.9078,
"step": 1
},
{
"epoch": 0.36363636363636365,
"grad_norm": 6.967246055603027,
"learning_rate": 8.000000000000001e-06,
"loss": 3.4781,
"step": 2
},
{
"epoch": 0.7272727272727273,
"grad_norm": 6.186585426330566,
"learning_rate": 1.6000000000000003e-05,
"loss": 3.2814,
"step": 4
},
{
"epoch": 0.9090909090909091,
"eval_loss": 3.220660924911499,
"eval_runtime": 7.6385,
"eval_samples_per_second": 3.142,
"eval_steps_per_second": 3.142,
"step": 5
},
{
"epoch": 1.0909090909090908,
"grad_norm": 6.225273132324219,
"learning_rate": 2.4e-05,
"loss": 3.1509,
"step": 6
},
{
"epoch": 1.4545454545454546,
"grad_norm": 7.809123516082764,
"learning_rate": 3.2000000000000005e-05,
"loss": 3.129,
"step": 8
},
{
"epoch": 1.8181818181818183,
"grad_norm": 5.321211338043213,
"learning_rate": 4e-05,
"loss": 2.3853,
"step": 10
},
{
"epoch": 2.0,
"eval_loss": 1.7734723091125488,
"eval_runtime": 7.4521,
"eval_samples_per_second": 3.221,
"eval_steps_per_second": 3.221,
"step": 11
},
{
"epoch": 2.1818181818181817,
"grad_norm": 4.0745649337768555,
"learning_rate": 4.8e-05,
"loss": 1.959,
"step": 12
},
{
"epoch": 2.5454545454545454,
"grad_norm": 3.111417293548584,
"learning_rate": 5.6000000000000006e-05,
"loss": 1.4555,
"step": 14
},
{
"epoch": 2.909090909090909,
"grad_norm": 2.917243242263794,
"learning_rate": 6.400000000000001e-05,
"loss": 1.0517,
"step": 16
},
{
"epoch": 2.909090909090909,
"eval_loss": 0.9646134376525879,
"eval_runtime": 7.4578,
"eval_samples_per_second": 3.218,
"eval_steps_per_second": 3.218,
"step": 16
},
{
"epoch": 3.2727272727272725,
"grad_norm": 2.1608688831329346,
"learning_rate": 7.2e-05,
"loss": 0.7279,
"step": 18
},
{
"epoch": 3.6363636363636362,
"grad_norm": 0.9096205234527588,
"learning_rate": 8e-05,
"loss": 0.6856,
"step": 20
},
{
"epoch": 4.0,
"grad_norm": 0.700407862663269,
"learning_rate": 8.800000000000001e-05,
"loss": 0.6575,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 0.6095558404922485,
"eval_runtime": 7.4569,
"eval_samples_per_second": 3.219,
"eval_steps_per_second": 3.219,
"step": 22
},
{
"epoch": 4.363636363636363,
"grad_norm": 0.7757139801979065,
"learning_rate": 9.6e-05,
"loss": 0.5118,
"step": 24
},
{
"epoch": 4.7272727272727275,
"grad_norm": 0.5130665898323059,
"learning_rate": 9.999512620046522e-05,
"loss": 0.4492,
"step": 26
},
{
"epoch": 4.909090909090909,
"eval_loss": 0.5386365056037903,
"eval_runtime": 7.4523,
"eval_samples_per_second": 3.22,
"eval_steps_per_second": 3.22,
"step": 27
},
{
"epoch": 5.090909090909091,
"grad_norm": 0.6565605401992798,
"learning_rate": 9.995614150494293e-05,
"loss": 0.4765,
"step": 28
},
{
"epoch": 5.454545454545454,
"grad_norm": 0.7080961465835571,
"learning_rate": 9.987820251299122e-05,
"loss": 0.3665,
"step": 30
},
{
"epoch": 5.818181818181818,
"grad_norm": 0.367472767829895,
"learning_rate": 9.976136999909156e-05,
"loss": 0.3535,
"step": 32
},
{
"epoch": 6.0,
"eval_loss": 0.48484835028648376,
"eval_runtime": 7.4527,
"eval_samples_per_second": 3.22,
"eval_steps_per_second": 3.22,
"step": 33
},
{
"epoch": 6.181818181818182,
"grad_norm": 0.3141935169696808,
"learning_rate": 9.96057350657239e-05,
"loss": 0.3497,
"step": 34
},
{
"epoch": 6.545454545454545,
"grad_norm": 0.5521201491355896,
"learning_rate": 9.941141907232765e-05,
"loss": 0.4009,
"step": 36
},
{
"epoch": 6.909090909090909,
"grad_norm": 0.5136641263961792,
"learning_rate": 9.917857354066931e-05,
"loss": 0.3521,
"step": 38
},
{
"epoch": 6.909090909090909,
"eval_loss": 0.4612942636013031,
"eval_runtime": 7.4513,
"eval_samples_per_second": 3.221,
"eval_steps_per_second": 3.221,
"step": 38
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.4848323464393616,
"learning_rate": 9.890738003669029e-05,
"loss": 0.3128,
"step": 40
},
{
"epoch": 7.636363636363637,
"grad_norm": 0.34514158964157104,
"learning_rate": 9.859805002892732e-05,
"loss": 0.2022,
"step": 42
},
{
"epoch": 8.0,
"grad_norm": 0.42058125138282776,
"learning_rate": 9.825082472361557e-05,
"loss": 0.2821,
"step": 44
},
{
"epoch": 8.0,
"eval_loss": 0.4495352804660797,
"eval_runtime": 7.4485,
"eval_samples_per_second": 3.222,
"eval_steps_per_second": 3.222,
"step": 44
},
{
"epoch": 8.363636363636363,
"grad_norm": 0.4747871160507202,
"learning_rate": 9.786597487660337e-05,
"loss": 0.2727,
"step": 46
},
{
"epoch": 8.727272727272727,
"grad_norm": 0.41476812958717346,
"learning_rate": 9.744380058222483e-05,
"loss": 0.1878,
"step": 48
},
{
"epoch": 8.909090909090908,
"eval_loss": 0.44962453842163086,
"eval_runtime": 7.4531,
"eval_samples_per_second": 3.22,
"eval_steps_per_second": 3.22,
"step": 49
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.48273763060569763,
"learning_rate": 9.698463103929542e-05,
"loss": 0.2823,
"step": 50
},
{
"epoch": 9.454545454545455,
"grad_norm": 0.5613682866096497,
"learning_rate": 9.648882429441257e-05,
"loss": 0.215,
"step": 52
},
{
"epoch": 9.818181818181818,
"grad_norm": 0.843788206577301,
"learning_rate": 9.595676696276172e-05,
"loss": 0.1547,
"step": 54
},
{
"epoch": 10.0,
"eval_loss": 0.49282336235046387,
"eval_runtime": 7.449,
"eval_samples_per_second": 3.222,
"eval_steps_per_second": 3.222,
"step": 55
},
{
"epoch": 10.181818181818182,
"grad_norm": 0.46964725852012634,
"learning_rate": 9.538887392664544e-05,
"loss": 0.1365,
"step": 56
},
{
"epoch": 10.545454545454545,
"grad_norm": 0.5018220543861389,
"learning_rate": 9.478558801197065e-05,
"loss": 0.1599,
"step": 58
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.4618806838989258,
"learning_rate": 9.414737964294636e-05,
"loss": 0.1539,
"step": 60
},
{
"epoch": 10.909090909090908,
"eval_loss": 0.49774304032325745,
"eval_runtime": 7.4564,
"eval_samples_per_second": 3.219,
"eval_steps_per_second": 3.219,
"step": 60
},
{
"epoch": 11.272727272727273,
"grad_norm": 0.5974417924880981,
"learning_rate": 9.347474647526095e-05,
"loss": 0.095,
"step": 62
},
{
"epoch": 11.636363636363637,
"grad_norm": 0.5028112530708313,
"learning_rate": 9.276821300802534e-05,
"loss": 0.1075,
"step": 64
},
{
"epoch": 12.0,
"grad_norm": 1.2034255266189575,
"learning_rate": 9.202833017478422e-05,
"loss": 0.1194,
"step": 66
},
{
"epoch": 12.0,
"eval_loss": 0.6055799722671509,
"eval_runtime": 7.4506,
"eval_samples_per_second": 3.221,
"eval_steps_per_second": 3.221,
"step": 66
},
{
"epoch": 12.363636363636363,
"grad_norm": 0.3660883903503418,
"learning_rate": 9.125567491391476e-05,
"loss": 0.0486,
"step": 68
},
{
"epoch": 12.727272727272727,
"grad_norm": 0.7464652061462402,
"learning_rate": 9.045084971874738e-05,
"loss": 0.0872,
"step": 70
},
{
"epoch": 12.909090909090908,
"eval_loss": 0.693767249584198,
"eval_runtime": 7.4557,
"eval_samples_per_second": 3.219,
"eval_steps_per_second": 3.219,
"step": 71
},
{
"epoch": 13.090909090909092,
"grad_norm": 0.45991790294647217,
"learning_rate": 8.961448216775954e-05,
"loss": 0.0513,
"step": 72
},
{
"epoch": 13.454545454545455,
"grad_norm": 0.5081632137298584,
"learning_rate": 8.874722443520899e-05,
"loss": 0.0305,
"step": 74
},
{
"epoch": 13.818181818181818,
"grad_norm": 1.0700777769088745,
"learning_rate": 8.784975278258783e-05,
"loss": 0.0274,
"step": 76
},
{
"epoch": 14.0,
"eval_loss": 0.8378891944885254,
"eval_runtime": 7.4657,
"eval_samples_per_second": 3.215,
"eval_steps_per_second": 3.215,
"step": 77
},
{
"epoch": 14.181818181818182,
"grad_norm": 0.23455728590488434,
"learning_rate": 8.692276703129421e-05,
"loss": 0.0294,
"step": 78
},
{
"epoch": 14.545454545454545,
"grad_norm": 1.548729658126831,
"learning_rate": 8.596699001693255e-05,
"loss": 0.0247,
"step": 80
},
{
"epoch": 14.909090909090908,
"grad_norm": 0.47893524169921875,
"learning_rate": 8.498316702566828e-05,
"loss": 0.0195,
"step": 82
},
{
"epoch": 14.909090909090908,
"eval_loss": 0.8741180896759033,
"eval_runtime": 7.4521,
"eval_samples_per_second": 3.221,
"eval_steps_per_second": 3.221,
"step": 82
},
{
"epoch": 14.909090909090908,
"step": 82,
"total_flos": 3.5471186917851136e+16,
"train_loss": 0.693681104949153,
"train_runtime": 1505.781,
"train_samples_per_second": 2.922,
"train_steps_per_second": 0.166
}
],
"logging_steps": 2,
"max_steps": 250,
"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": 3.5471186917851136e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}