sentiment-base-3 / trainer_state.json
apwic's picture
End of training
abd6558 verified
raw
history blame contribute delete
No virus
11 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 2440,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 8.300418853759766,
"learning_rate": 4.75e-05,
"loss": 0.4092,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.8521303258145363,
"eval_f1": 0.7892045810686176,
"eval_loss": 0.3456897437572479,
"eval_precision": 0.8929804104477612,
"eval_recall": 0.7553646117475905,
"eval_runtime": 1.6637,
"eval_samples_per_second": 239.829,
"eval_steps_per_second": 30.054,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 9.286004066467285,
"learning_rate": 4.5e-05,
"loss": 0.2282,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.8922305764411027,
"eval_f1": 0.8676331036823873,
"eval_loss": 0.258427232503891,
"eval_precision": 0.8749292230261088,
"eval_recall": 0.8612474995453718,
"eval_runtime": 1.6592,
"eval_samples_per_second": 240.478,
"eval_steps_per_second": 30.135,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 13.956122398376465,
"learning_rate": 4.25e-05,
"loss": 0.138,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8429546050905274,
"eval_loss": 0.44172462821006775,
"eval_precision": 0.882529902138456,
"eval_recall": 0.8198763411529368,
"eval_runtime": 1.6567,
"eval_samples_per_second": 240.84,
"eval_steps_per_second": 30.18,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 0.09012622386217117,
"learning_rate": 4e-05,
"loss": 0.0837,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8793019197207679,
"eval_loss": 0.4037090241909027,
"eval_precision": 0.8893184421534936,
"eval_recall": 0.8708401527550463,
"eval_runtime": 1.6737,
"eval_samples_per_second": 238.388,
"eval_steps_per_second": 29.873,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 5.347772121429443,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.0426,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.9047619047619048,
"eval_f1": 0.8873149414352814,
"eval_loss": 0.5462044477462769,
"eval_precision": 0.8806277372262774,
"eval_recall": 0.8951172940534643,
"eval_runtime": 1.6751,
"eval_samples_per_second": 238.188,
"eval_steps_per_second": 29.848,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 0.011684279888868332,
"learning_rate": 3.5e-05,
"loss": 0.0502,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8897243107769424,
"eval_f1": 0.8707140332272888,
"eval_loss": 0.5626452565193176,
"eval_precision": 0.8618432385874246,
"eval_recall": 0.8819785415530097,
"eval_runtime": 1.6815,
"eval_samples_per_second": 237.294,
"eval_steps_per_second": 29.736,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 0.015737071633338928,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.0242,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.9072681704260651,
"eval_f1": 0.8848664457009163,
"eval_loss": 0.6241247653961182,
"eval_precision": 0.8977236138837015,
"eval_recall": 0.8743862520458265,
"eval_runtime": 1.6765,
"eval_samples_per_second": 238.002,
"eval_steps_per_second": 29.825,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 0.004997015465050936,
"learning_rate": 3e-05,
"loss": 0.0217,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8872180451127819,
"eval_f1": 0.8692251105268142,
"eval_loss": 0.7096332907676697,
"eval_precision": 0.8579132638693325,
"eval_recall": 0.885206401163848,
"eval_runtime": 1.6742,
"eval_samples_per_second": 238.324,
"eval_steps_per_second": 29.865,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 0.004219838418066502,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.0229,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.9122807017543859,
"eval_f1": 0.8954723392788977,
"eval_loss": 0.611499547958374,
"eval_precision": 0.8909569746108776,
"eval_recall": 0.9004364429896345,
"eval_runtime": 1.66,
"eval_samples_per_second": 240.365,
"eval_steps_per_second": 30.121,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 0.006534805987030268,
"learning_rate": 2.5e-05,
"loss": 0.0109,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8744522298370696,
"eval_loss": 0.7575166821479797,
"eval_precision": 0.8795731707317074,
"eval_recall": 0.8697945080923805,
"eval_runtime": 1.6781,
"eval_samples_per_second": 237.769,
"eval_steps_per_second": 29.796,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 0.00184684619307518,
"learning_rate": 2.25e-05,
"loss": 0.0068,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.9072681704260651,
"eval_f1": 0.8861029031685659,
"eval_loss": 0.7536790370941162,
"eval_precision": 0.8937558980811576,
"eval_recall": 0.879387161302055,
"eval_runtime": 1.6764,
"eval_samples_per_second": 238.006,
"eval_steps_per_second": 29.825,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 0.01189060416072607,
"learning_rate": 2e-05,
"loss": 0.0131,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8775533117267087,
"eval_loss": 0.7247006297111511,
"eval_precision": 0.873246730188791,
"eval_recall": 0.8822967812329514,
"eval_runtime": 1.6752,
"eval_samples_per_second": 238.178,
"eval_steps_per_second": 29.847,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 0.0015333497431129217,
"learning_rate": 1.75e-05,
"loss": 0.0101,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8763538792940554,
"eval_loss": 0.7927835583686829,
"eval_precision": 0.8754297605404427,
"eval_recall": 0.877295871976723,
"eval_runtime": 1.6839,
"eval_samples_per_second": 236.944,
"eval_steps_per_second": 29.692,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 0.0037907068617641926,
"learning_rate": 1.5e-05,
"loss": 0.0061,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.9072681704260651,
"eval_f1": 0.8884169154604891,
"eval_loss": 0.784883975982666,
"eval_precision": 0.8874630556728391,
"eval_recall": 0.8893889798145117,
"eval_runtime": 1.6745,
"eval_samples_per_second": 238.284,
"eval_steps_per_second": 29.86,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 0.0031544596422463655,
"learning_rate": 1.25e-05,
"loss": 0.0135,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8731122745782431,
"eval_loss": 0.781574010848999,
"eval_precision": 0.8829705994654449,
"eval_recall": 0.864793598836152,
"eval_runtime": 1.6721,
"eval_samples_per_second": 238.624,
"eval_steps_per_second": 29.903,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 0.0015803646529093385,
"learning_rate": 1e-05,
"loss": 0.0081,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8757339815412664,
"eval_loss": 0.7727145552635193,
"eval_precision": 0.8766906299500427,
"eval_recall": 0.8747954173486088,
"eval_runtime": 1.6771,
"eval_samples_per_second": 237.909,
"eval_steps_per_second": 29.813,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 0.00223415601067245,
"learning_rate": 7.5e-06,
"loss": 0.0027,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8763538792940554,
"eval_loss": 0.81281578540802,
"eval_precision": 0.8754297605404427,
"eval_recall": 0.877295871976723,
"eval_runtime": 1.6614,
"eval_samples_per_second": 240.156,
"eval_steps_per_second": 30.095,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 0.0023393542505800724,
"learning_rate": 5e-06,
"loss": 0.0041,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8817957385392532,
"eval_loss": 0.8081415891647339,
"eval_precision": 0.8827677592299257,
"eval_recall": 0.8808419712675032,
"eval_runtime": 1.6587,
"eval_samples_per_second": 240.553,
"eval_steps_per_second": 30.145,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 0.0010473760776221752,
"learning_rate": 2.5e-06,
"loss": 0.0018,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8793019197207679,
"eval_loss": 0.8038576245307922,
"eval_precision": 0.8893184421534936,
"eval_recall": 0.8708401527550463,
"eval_runtime": 1.6566,
"eval_samples_per_second": 240.849,
"eval_steps_per_second": 30.182,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 0.0015798051608726382,
"learning_rate": 0.0,
"loss": 0.0025,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8799463033398397,
"eval_loss": 0.803022563457489,
"eval_precision": 0.8874803397294746,
"eval_recall": 0.8733406073831607,
"eval_runtime": 1.6611,
"eval_samples_per_second": 240.198,
"eval_steps_per_second": 30.1,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 7584162436176000.0,
"train_loss": 0.05501617935226589,
"train_runtime": 867.5592,
"train_samples_per_second": 83.867,
"train_steps_per_second": 2.812
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 7584162436176000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}