nerugm-lora-r2a1d0.05 / trainer_state.json
apwic's picture
End of training
572955d verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 10560,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.2239537239074707,
"learning_rate": 4.75e-05,
"loss": 0.7885,
"step": 528
},
{
"epoch": 1.0,
"eval_accuracy": 0.8599324257179768,
"eval_f1": 0.12956964368347987,
"eval_loss": 0.46156567335128784,
"eval_precision": 0.3181818181818182,
"eval_recall": 0.08134805345729228,
"eval_runtime": 4.4212,
"eval_samples_per_second": 211.482,
"eval_steps_per_second": 3.393,
"step": 528
},
{
"epoch": 2.0,
"grad_norm": 0.8783295750617981,
"learning_rate": 4.5e-05,
"loss": 0.3921,
"step": 1056
},
{
"epoch": 2.0,
"eval_accuracy": 0.9273079598529266,
"eval_f1": 0.6403940886699507,
"eval_loss": 0.25241389870643616,
"eval_precision": 0.6052767718572167,
"eval_recall": 0.6798373038930854,
"eval_runtime": 4.5055,
"eval_samples_per_second": 207.524,
"eval_steps_per_second": 3.329,
"step": 1056
},
{
"epoch": 3.0,
"grad_norm": 1.2721015214920044,
"learning_rate": 4.25e-05,
"loss": 0.2392,
"step": 1584
},
{
"epoch": 3.0,
"eval_accuracy": 0.9382390937096293,
"eval_f1": 0.7109004739336493,
"eval_loss": 0.19324691593647003,
"eval_precision": 0.6499759268175253,
"eval_recall": 0.7844276583381755,
"eval_runtime": 4.6224,
"eval_samples_per_second": 202.275,
"eval_steps_per_second": 3.245,
"step": 1584
},
{
"epoch": 4.0,
"grad_norm": 1.5632168054580688,
"learning_rate": 4e-05,
"loss": 0.1931,
"step": 2112
},
{
"epoch": 4.0,
"eval_accuracy": 0.9444002782470436,
"eval_f1": 0.7511264245958124,
"eval_loss": 0.16761070489883423,
"eval_precision": 0.6905458089668616,
"eval_recall": 0.8233585124927367,
"eval_runtime": 4.5126,
"eval_samples_per_second": 207.199,
"eval_steps_per_second": 3.324,
"step": 2112
},
{
"epoch": 5.0,
"grad_norm": 1.1446164846420288,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.1719,
"step": 2640
},
{
"epoch": 5.0,
"eval_accuracy": 0.9477789923482063,
"eval_f1": 0.766781639692226,
"eval_loss": 0.15831433236598969,
"eval_precision": 0.70556640625,
"eval_recall": 0.8396281231841952,
"eval_runtime": 4.526,
"eval_samples_per_second": 206.584,
"eval_steps_per_second": 3.314,
"step": 2640
},
{
"epoch": 6.0,
"grad_norm": 1.3869203329086304,
"learning_rate": 3.5e-05,
"loss": 0.1602,
"step": 3168
},
{
"epoch": 6.0,
"eval_accuracy": 0.9501639670078506,
"eval_f1": 0.7779826178562023,
"eval_loss": 0.15387818217277527,
"eval_precision": 0.7114643545279383,
"eval_recall": 0.8582219639744335,
"eval_runtime": 4.6498,
"eval_samples_per_second": 201.085,
"eval_steps_per_second": 3.226,
"step": 3168
},
{
"epoch": 7.0,
"grad_norm": 2.276439666748047,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.1533,
"step": 3696
},
{
"epoch": 7.0,
"eval_accuracy": 0.950561462784458,
"eval_f1": 0.7748499869553874,
"eval_loss": 0.152009978890419,
"eval_precision": 0.703125,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.6743,
"eval_samples_per_second": 200.029,
"eval_steps_per_second": 3.209,
"step": 3696
},
{
"epoch": 8.0,
"grad_norm": 0.6530007719993591,
"learning_rate": 3e-05,
"loss": 0.1455,
"step": 4224
},
{
"epoch": 8.0,
"eval_accuracy": 0.9525489416674948,
"eval_f1": 0.7858095492131236,
"eval_loss": 0.14559316635131836,
"eval_precision": 0.7263313609467456,
"eval_recall": 0.8558977338756537,
"eval_runtime": 4.5528,
"eval_samples_per_second": 205.367,
"eval_steps_per_second": 3.295,
"step": 4224
},
{
"epoch": 9.0,
"grad_norm": 1.1390868425369263,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.1398,
"step": 4752
},
{
"epoch": 9.0,
"eval_accuracy": 0.953741428997317,
"eval_f1": 0.7870345566568443,
"eval_loss": 0.1424936205148697,
"eval_precision": 0.7301192842942346,
"eval_recall": 0.8535735037768739,
"eval_runtime": 4.5581,
"eval_samples_per_second": 205.131,
"eval_steps_per_second": 3.291,
"step": 4752
},
{
"epoch": 10.0,
"grad_norm": 1.3200411796569824,
"learning_rate": 2.5e-05,
"loss": 0.1368,
"step": 5280
},
{
"epoch": 10.0,
"eval_accuracy": 0.9533439332207095,
"eval_f1": 0.7828403943511858,
"eval_loss": 0.1394987255334854,
"eval_precision": 0.7229330708661418,
"eval_recall": 0.8535735037768739,
"eval_runtime": 4.5496,
"eval_samples_per_second": 205.514,
"eval_steps_per_second": 3.297,
"step": 5280
},
{
"epoch": 11.0,
"grad_norm": 1.8225971460342407,
"learning_rate": 2.25e-05,
"loss": 0.1331,
"step": 5808
},
{
"epoch": 11.0,
"eval_accuracy": 0.9551326642154427,
"eval_f1": 0.7904223836427225,
"eval_loss": 0.1364581286907196,
"eval_precision": 0.7359719438877755,
"eval_recall": 0.8535735037768739,
"eval_runtime": 4.5185,
"eval_samples_per_second": 206.928,
"eval_steps_per_second": 3.32,
"step": 5808
},
{
"epoch": 12.0,
"grad_norm": 1.1310523748397827,
"learning_rate": 2e-05,
"loss": 0.1305,
"step": 6336
},
{
"epoch": 12.0,
"eval_accuracy": 0.954933916327139,
"eval_f1": 0.7917669072440523,
"eval_loss": 0.13772083818912506,
"eval_precision": 0.7331683168316832,
"eval_recall": 0.8605461940732132,
"eval_runtime": 4.5376,
"eval_samples_per_second": 206.056,
"eval_steps_per_second": 3.306,
"step": 6336
},
{
"epoch": 13.0,
"grad_norm": 1.616012692451477,
"learning_rate": 1.75e-05,
"loss": 0.1279,
"step": 6864
},
{
"epoch": 13.0,
"eval_accuracy": 0.9565238994335685,
"eval_f1": 0.7955830864530029,
"eval_loss": 0.13570919632911682,
"eval_precision": 0.7414658634538153,
"eval_recall": 0.8582219639744335,
"eval_runtime": 4.6083,
"eval_samples_per_second": 202.895,
"eval_steps_per_second": 3.255,
"step": 6864
},
{
"epoch": 14.0,
"grad_norm": 1.0812599658966064,
"learning_rate": 1.5e-05,
"loss": 0.1251,
"step": 7392
},
{
"epoch": 14.0,
"eval_accuracy": 0.95553015999205,
"eval_f1": 0.7960438385458433,
"eval_loss": 0.1355232298374176,
"eval_precision": 0.7371287128712871,
"eval_recall": 0.8651946542707728,
"eval_runtime": 4.5386,
"eval_samples_per_second": 206.009,
"eval_steps_per_second": 3.305,
"step": 7392
},
{
"epoch": 15.0,
"grad_norm": 0.9974623322486877,
"learning_rate": 1.25e-05,
"loss": 0.1239,
"step": 7920
},
{
"epoch": 15.0,
"eval_accuracy": 0.954933916327139,
"eval_f1": 0.7947551511907948,
"eval_loss": 0.13592766225337982,
"eval_precision": 0.7366071428571429,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.5752,
"eval_samples_per_second": 204.364,
"eval_steps_per_second": 3.279,
"step": 7920
},
{
"epoch": 16.0,
"grad_norm": 1.7211874723434448,
"learning_rate": 1e-05,
"loss": 0.1231,
"step": 8448
},
{
"epoch": 16.0,
"eval_accuracy": 0.9551326642154427,
"eval_f1": 0.7939053728949478,
"eval_loss": 0.13472402095794678,
"eval_precision": 0.7351485148514851,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.9904,
"eval_samples_per_second": 187.359,
"eval_steps_per_second": 3.006,
"step": 8448
},
{
"epoch": 17.0,
"grad_norm": 0.8234815001487732,
"learning_rate": 7.5e-06,
"loss": 0.122,
"step": 8976
},
{
"epoch": 17.0,
"eval_accuracy": 0.95553015999205,
"eval_f1": 0.7939053728949478,
"eval_loss": 0.13527412712574005,
"eval_precision": 0.7351485148514851,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.6942,
"eval_samples_per_second": 199.181,
"eval_steps_per_second": 3.195,
"step": 8976
},
{
"epoch": 18.0,
"grad_norm": 1.37420654296875,
"learning_rate": 5e-06,
"loss": 0.1205,
"step": 9504
},
{
"epoch": 18.0,
"eval_accuracy": 0.954933916327139,
"eval_f1": 0.7909212283044059,
"eval_loss": 0.1356407105922699,
"eval_precision": 0.7317193675889329,
"eval_recall": 0.8605461940732132,
"eval_runtime": 4.6084,
"eval_samples_per_second": 202.888,
"eval_steps_per_second": 3.255,
"step": 9504
},
{
"epoch": 19.0,
"grad_norm": 0.861274242401123,
"learning_rate": 2.5e-06,
"loss": 0.1202,
"step": 10032
},
{
"epoch": 19.0,
"eval_accuracy": 0.9551326642154427,
"eval_f1": 0.7939053728949478,
"eval_loss": 0.13467516005039215,
"eval_precision": 0.7351485148514851,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.5334,
"eval_samples_per_second": 206.249,
"eval_steps_per_second": 3.309,
"step": 10032
},
{
"epoch": 20.0,
"grad_norm": 1.8209986686706543,
"learning_rate": 0.0,
"loss": 0.1204,
"step": 10560
},
{
"epoch": 20.0,
"eval_accuracy": 0.95553015999205,
"eval_f1": 0.7947551511907948,
"eval_loss": 0.13456128537654877,
"eval_precision": 0.7366071428571429,
"eval_recall": 0.862870424171993,
"eval_runtime": 4.5185,
"eval_samples_per_second": 206.927,
"eval_steps_per_second": 3.32,
"step": 10560
},
{
"epoch": 20.0,
"step": 10560,
"total_flos": 4541164131293502.0,
"train_loss": 0.18836262515096952,
"train_runtime": 1254.2656,
"train_samples_per_second": 134.533,
"train_steps_per_second": 8.419
}
],
"logging_steps": 500,
"max_steps": 10560,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 4541164131293502.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}