GaetanMichelet's picture
Model save
9b25b36 verified
raw
history blame
No virus
11.5 kB
{
"best_metric": 0.7005918622016907,
"best_model_checkpoint": "data/Llama-31-8B_task-2_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": 0.7674039006233215,
"learning_rate": 4.000000000000001e-06,
"loss": 1.1716,
"step": 1
},
{
"epoch": 0.36363636363636365,
"grad_norm": 0.6510034799575806,
"learning_rate": 8.000000000000001e-06,
"loss": 1.0331,
"step": 2
},
{
"epoch": 0.7272727272727273,
"grad_norm": 0.6953703761100769,
"learning_rate": 1.6000000000000003e-05,
"loss": 1.1488,
"step": 4
},
{
"epoch": 0.9090909090909091,
"eval_loss": 1.0946769714355469,
"eval_runtime": 24.375,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 5
},
{
"epoch": 1.0909090909090908,
"grad_norm": 0.6922580003738403,
"learning_rate": 2.4e-05,
"loss": 1.0495,
"step": 6
},
{
"epoch": 1.4545454545454546,
"grad_norm": 0.6589558720588684,
"learning_rate": 3.2000000000000005e-05,
"loss": 1.0749,
"step": 8
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.5799499154090881,
"learning_rate": 4e-05,
"loss": 1.0165,
"step": 10
},
{
"epoch": 2.0,
"eval_loss": 0.9406652450561523,
"eval_runtime": 24.3572,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 11
},
{
"epoch": 2.1818181818181817,
"grad_norm": 0.3963906466960907,
"learning_rate": 4.8e-05,
"loss": 0.8875,
"step": 12
},
{
"epoch": 2.5454545454545454,
"grad_norm": 0.27924686670303345,
"learning_rate": 5.6000000000000006e-05,
"loss": 0.9195,
"step": 14
},
{
"epoch": 2.909090909090909,
"grad_norm": 0.30913951992988586,
"learning_rate": 6.400000000000001e-05,
"loss": 0.8171,
"step": 16
},
{
"epoch": 2.909090909090909,
"eval_loss": 0.8598155379295349,
"eval_runtime": 24.3523,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 16
},
{
"epoch": 3.2727272727272725,
"grad_norm": 0.33593547344207764,
"learning_rate": 7.2e-05,
"loss": 0.8588,
"step": 18
},
{
"epoch": 3.6363636363636362,
"grad_norm": 0.3248369097709656,
"learning_rate": 8e-05,
"loss": 0.7836,
"step": 20
},
{
"epoch": 4.0,
"grad_norm": 0.2768213152885437,
"learning_rate": 8.800000000000001e-05,
"loss": 0.7886,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 0.7891804575920105,
"eval_runtime": 24.3631,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 22
},
{
"epoch": 4.363636363636363,
"grad_norm": 0.2458682656288147,
"learning_rate": 9.6e-05,
"loss": 0.7524,
"step": 24
},
{
"epoch": 4.7272727272727275,
"grad_norm": 0.23660539090633392,
"learning_rate": 9.999512620046522e-05,
"loss": 0.7586,
"step": 26
},
{
"epoch": 4.909090909090909,
"eval_loss": 0.753984272480011,
"eval_runtime": 24.3522,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 27
},
{
"epoch": 5.090909090909091,
"grad_norm": 0.21786364912986755,
"learning_rate": 9.995614150494293e-05,
"loss": 0.6762,
"step": 28
},
{
"epoch": 5.454545454545454,
"grad_norm": 0.23146505653858185,
"learning_rate": 9.987820251299122e-05,
"loss": 0.7117,
"step": 30
},
{
"epoch": 5.818181818181818,
"grad_norm": 0.2580190896987915,
"learning_rate": 9.976136999909156e-05,
"loss": 0.6893,
"step": 32
},
{
"epoch": 6.0,
"eval_loss": 0.7249401211738586,
"eval_runtime": 24.3561,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 33
},
{
"epoch": 6.181818181818182,
"grad_norm": 0.20970988273620605,
"learning_rate": 9.96057350657239e-05,
"loss": 0.6552,
"step": 34
},
{
"epoch": 6.545454545454545,
"grad_norm": 0.23407581448554993,
"learning_rate": 9.941141907232765e-05,
"loss": 0.6272,
"step": 36
},
{
"epoch": 6.909090909090909,
"grad_norm": 0.24965035915374756,
"learning_rate": 9.917857354066931e-05,
"loss": 0.6344,
"step": 38
},
{
"epoch": 6.909090909090909,
"eval_loss": 0.7065951228141785,
"eval_runtime": 24.3589,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 38
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.2688140869140625,
"learning_rate": 9.890738003669029e-05,
"loss": 0.6011,
"step": 40
},
{
"epoch": 7.636363636363637,
"grad_norm": 0.24507106840610504,
"learning_rate": 9.859805002892732e-05,
"loss": 0.5704,
"step": 42
},
{
"epoch": 8.0,
"grad_norm": 0.29102611541748047,
"learning_rate": 9.825082472361557e-05,
"loss": 0.5774,
"step": 44
},
{
"epoch": 8.0,
"eval_loss": 0.7005918622016907,
"eval_runtime": 24.3547,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 44
},
{
"epoch": 8.363636363636363,
"grad_norm": 0.2889251112937927,
"learning_rate": 9.786597487660337e-05,
"loss": 0.5231,
"step": 46
},
{
"epoch": 8.727272727272727,
"grad_norm": 0.3169316053390503,
"learning_rate": 9.744380058222483e-05,
"loss": 0.5214,
"step": 48
},
{
"epoch": 8.909090909090908,
"eval_loss": 0.7153194546699524,
"eval_runtime": 24.3541,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 49
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.38805821537971497,
"learning_rate": 9.698463103929542e-05,
"loss": 0.5063,
"step": 50
},
{
"epoch": 9.454545454545455,
"grad_norm": 0.3671804964542389,
"learning_rate": 9.648882429441257e-05,
"loss": 0.4467,
"step": 52
},
{
"epoch": 9.818181818181818,
"grad_norm": 0.4408819079399109,
"learning_rate": 9.595676696276172e-05,
"loss": 0.4418,
"step": 54
},
{
"epoch": 10.0,
"eval_loss": 0.7320634722709656,
"eval_runtime": 24.3563,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 55
},
{
"epoch": 10.181818181818182,
"grad_norm": 0.43601396679878235,
"learning_rate": 9.538887392664544e-05,
"loss": 0.4178,
"step": 56
},
{
"epoch": 10.545454545454545,
"grad_norm": 0.4430766701698303,
"learning_rate": 9.478558801197065e-05,
"loss": 0.3666,
"step": 58
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.7093108892440796,
"learning_rate": 9.414737964294636e-05,
"loss": 0.3485,
"step": 60
},
{
"epoch": 10.909090909090908,
"eval_loss": 0.8033430576324463,
"eval_runtime": 24.358,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 60
},
{
"epoch": 11.272727272727273,
"grad_norm": 0.6464765071868896,
"learning_rate": 9.347474647526095e-05,
"loss": 0.2912,
"step": 62
},
{
"epoch": 11.636363636363637,
"grad_norm": 0.8268999457359314,
"learning_rate": 9.276821300802534e-05,
"loss": 0.2803,
"step": 64
},
{
"epoch": 12.0,
"grad_norm": 0.6604214906692505,
"learning_rate": 9.202833017478422e-05,
"loss": 0.2374,
"step": 66
},
{
"epoch": 12.0,
"eval_loss": 0.8848142027854919,
"eval_runtime": 24.3559,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 66
},
{
"epoch": 12.363636363636363,
"grad_norm": 0.654966413974762,
"learning_rate": 9.125567491391476e-05,
"loss": 0.1974,
"step": 68
},
{
"epoch": 12.727272727272727,
"grad_norm": 0.9196223616600037,
"learning_rate": 9.045084971874738e-05,
"loss": 0.1445,
"step": 70
},
{
"epoch": 12.909090909090908,
"eval_loss": 1.002466082572937,
"eval_runtime": 24.3624,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 71
},
{
"epoch": 13.090909090909092,
"grad_norm": 0.5715006589889526,
"learning_rate": 8.961448216775954e-05,
"loss": 0.1426,
"step": 72
},
{
"epoch": 13.454545454545455,
"grad_norm": 0.6640578508377075,
"learning_rate": 8.874722443520899e-05,
"loss": 0.1189,
"step": 74
},
{
"epoch": 13.818181818181818,
"grad_norm": 1.080757975578308,
"learning_rate": 8.784975278258783e-05,
"loss": 0.075,
"step": 76
},
{
"epoch": 14.0,
"eval_loss": 1.309071660041809,
"eval_runtime": 24.3569,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 77
},
{
"epoch": 14.181818181818182,
"grad_norm": 0.5289912223815918,
"learning_rate": 8.692276703129421e-05,
"loss": 0.0488,
"step": 78
},
{
"epoch": 14.545454545454545,
"grad_norm": 0.5767114758491516,
"learning_rate": 8.596699001693255e-05,
"loss": 0.0553,
"step": 80
},
{
"epoch": 14.909090909090908,
"grad_norm": 0.7736446857452393,
"learning_rate": 8.498316702566828e-05,
"loss": 0.0347,
"step": 82
},
{
"epoch": 14.909090909090908,
"eval_loss": 1.3889188766479492,
"eval_runtime": 24.3582,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 82
},
{
"epoch": 14.909090909090908,
"step": 82,
"total_flos": 1.2546788251454669e+17,
"train_loss": 0.558828686977305,
"train_runtime": 4503.0164,
"train_samples_per_second": 0.977,
"train_steps_per_second": 0.056
}
],
"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": 1.2546788251454669e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}