sentiment-pt-pl30-4 / trainer_state.json
apwic's picture
End of training
ed549b8 verified
raw
history blame
No virus
10.9 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": 3.569611072540283,
"learning_rate": 4.75e-05,
"loss": 0.5438,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.7218045112781954,
"eval_f1": 0.6545993371027491,
"eval_loss": 0.49882158637046814,
"eval_precision": 0.6600553802562947,
"eval_recall": 0.6506637570467357,
"eval_runtime": 5.2428,
"eval_samples_per_second": 76.104,
"eval_steps_per_second": 9.537,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 3.2452878952026367,
"learning_rate": 4.5e-05,
"loss": 0.4428,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.8446115288220551,
"eval_f1": 0.8161454307628278,
"eval_loss": 0.3788329064846039,
"eval_precision": 0.8107299270072992,
"eval_recall": 0.8225586470267321,
"eval_runtime": 5.1661,
"eval_samples_per_second": 77.234,
"eval_steps_per_second": 9.679,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 3.797173500061035,
"learning_rate": 4.25e-05,
"loss": 0.3441,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.8596491228070176,
"eval_f1": 0.8179269882659713,
"eval_loss": 0.3289283514022827,
"eval_precision": 0.8510239760239761,
"eval_recall": 0.7981905801054737,
"eval_runtime": 5.1072,
"eval_samples_per_second": 78.125,
"eval_steps_per_second": 9.79,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 1.9981327056884766,
"learning_rate": 4e-05,
"loss": 0.2986,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8533986527862829,
"eval_loss": 0.28838610649108887,
"eval_precision": 0.8572003218020917,
"eval_recall": 0.8498817966903074,
"eval_runtime": 5.1209,
"eval_samples_per_second": 77.916,
"eval_steps_per_second": 9.764,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 1.763756513595581,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.2667,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.8771929824561403,
"eval_f1": 0.850729517396184,
"eval_loss": 0.26981133222579956,
"eval_precision": 0.8535087719298247,
"eval_recall": 0.8481087470449173,
"eval_runtime": 5.1232,
"eval_samples_per_second": 77.881,
"eval_steps_per_second": 9.759,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 2.7370102405548096,
"learning_rate": 3.5e-05,
"loss": 0.2524,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8847117794486216,
"eval_f1": 0.8609292598654301,
"eval_loss": 0.27233511209487915,
"eval_precision": 0.8609292598654301,
"eval_recall": 0.8609292598654301,
"eval_runtime": 5.1586,
"eval_samples_per_second": 77.347,
"eval_steps_per_second": 9.693,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 1.2413272857666016,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.2343,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8265664241097301,
"eval_loss": 0.3179858326911926,
"eval_precision": 0.8532894736842105,
"eval_recall": 0.8092380432805966,
"eval_runtime": 5.1498,
"eval_samples_per_second": 77.479,
"eval_steps_per_second": 9.709,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 3.469871997833252,
"learning_rate": 3e-05,
"loss": 0.2212,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.852937255424767,
"eval_loss": 0.29489362239837646,
"eval_precision": 0.8674217731421121,
"eval_recall": 0.8416530278232406,
"eval_runtime": 5.155,
"eval_samples_per_second": 77.4,
"eval_steps_per_second": 9.699,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 4.085997581481934,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.2142,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.8847117794486216,
"eval_f1": 0.8564658408408408,
"eval_loss": 0.2828481197357178,
"eval_precision": 0.8697278911564625,
"eval_recall": 0.8459265320967448,
"eval_runtime": 5.1873,
"eval_samples_per_second": 76.919,
"eval_steps_per_second": 9.639,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 3.2397539615631104,
"learning_rate": 2.5e-05,
"loss": 0.1958,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8696741854636592,
"eval_f1": 0.8457993935430168,
"eval_loss": 0.28871509432792664,
"eval_precision": 0.8398540145985401,
"eval_recall": 0.8527914166212038,
"eval_runtime": 5.1373,
"eval_samples_per_second": 77.667,
"eval_steps_per_second": 9.733,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 2.4002835750579834,
"learning_rate": 2.25e-05,
"loss": 0.1855,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.8602993213495533,
"eval_loss": 0.2867955267429352,
"eval_precision": 0.8547653958944281,
"eval_recall": 0.8666575741043827,
"eval_runtime": 5.1317,
"eval_samples_per_second": 77.752,
"eval_steps_per_second": 9.743,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 1.633034348487854,
"learning_rate": 2e-05,
"loss": 0.1742,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.87468671679198,
"eval_f1": 0.8448388501742161,
"eval_loss": 0.29811105132102966,
"eval_precision": 0.8551721930610677,
"eval_recall": 0.8363338788870704,
"eval_runtime": 5.1494,
"eval_samples_per_second": 77.484,
"eval_steps_per_second": 9.71,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 2.338294506072998,
"learning_rate": 1.75e-05,
"loss": 0.1601,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8556004584112431,
"eval_loss": 0.29304954409599304,
"eval_precision": 0.8538865546218487,
"eval_recall": 0.85738316057465,
"eval_runtime": 5.0982,
"eval_samples_per_second": 78.263,
"eval_steps_per_second": 9.807,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 1.3382197618484497,
"learning_rate": 1.5e-05,
"loss": 0.1602,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8589607635206786,
"eval_loss": 0.29793980717658997,
"eval_precision": 0.8503875968992248,
"eval_recall": 0.8698854337152209,
"eval_runtime": 5.1508,
"eval_samples_per_second": 77.464,
"eval_steps_per_second": 9.707,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 0.5800030827522278,
"learning_rate": 1.25e-05,
"loss": 0.1497,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8872180451127819,
"eval_f1": 0.8662440310793597,
"eval_loss": 0.29690659046173096,
"eval_precision": 0.8606158357771261,
"eval_recall": 0.872704128023277,
"eval_runtime": 5.1461,
"eval_samples_per_second": 77.534,
"eval_steps_per_second": 9.716,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 6.755856037139893,
"learning_rate": 1e-05,
"loss": 0.1447,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8847117794486216,
"eval_f1": 0.8616171059774413,
"eval_loss": 0.29627636075019836,
"eval_precision": 0.859873949579832,
"eval_recall": 0.8634297144935443,
"eval_runtime": 5.1639,
"eval_samples_per_second": 77.267,
"eval_steps_per_second": 9.683,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 2.1538662910461426,
"learning_rate": 7.5e-06,
"loss": 0.1394,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.8589543987905864,
"eval_loss": 0.30176377296447754,
"eval_precision": 0.8564068100358423,
"eval_recall": 0.8616566648481543,
"eval_runtime": 5.17,
"eval_samples_per_second": 77.176,
"eval_steps_per_second": 9.671,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 2.54630708694458,
"learning_rate": 5e-06,
"loss": 0.1333,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.858259325044405,
"eval_loss": 0.30650317668914795,
"eval_precision": 0.8573798178418481,
"eval_recall": 0.8591562102200401,
"eval_runtime": 5.128,
"eval_samples_per_second": 77.807,
"eval_steps_per_second": 9.75,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 0.7696042656898499,
"learning_rate": 2.5e-06,
"loss": 0.1406,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.858259325044405,
"eval_loss": 0.30623340606689453,
"eval_precision": 0.8573798178418481,
"eval_recall": 0.8591562102200401,
"eval_runtime": 5.1122,
"eval_samples_per_second": 78.049,
"eval_steps_per_second": 9.781,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 3.025254487991333,
"learning_rate": 0.0,
"loss": 0.1243,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.858259325044405,
"eval_loss": 0.30716511607170105,
"eval_precision": 0.8573798178418481,
"eval_recall": 0.8591562102200401,
"eval_runtime": 5.0928,
"eval_samples_per_second": 78.347,
"eval_steps_per_second": 9.818,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 8460375995160000.0,
"train_loss": 0.22629446436147221,
"train_runtime": 1956.0503,
"train_samples_per_second": 37.269,
"train_steps_per_second": 1.247
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 8460375995160000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}