sentiment-base-0 / trainer_state.json
apwic's picture
End of training
00dab7a verified
raw
history blame
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": 21.900392532348633,
"learning_rate": 4.75e-05,
"loss": 0.4267,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8409196624360422,
"eval_loss": 0.35864609479904175,
"eval_precision": 0.8892469089546646,
"eval_recall": 0.8148754318967084,
"eval_runtime": 4.8207,
"eval_samples_per_second": 82.769,
"eval_steps_per_second": 10.372,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 23.599449157714844,
"learning_rate": 4.5e-05,
"loss": 0.2234,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.8696741854636592,
"eval_f1": 0.8539284708532808,
"eval_loss": 0.36683306097984314,
"eval_precision": 0.8394707327494125,
"eval_recall": 0.8852973267866885,
"eval_runtime": 4.9471,
"eval_samples_per_second": 80.653,
"eval_steps_per_second": 10.107,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 8.989884376525879,
"learning_rate": 4.25e-05,
"loss": 0.126,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.8922305764411027,
"eval_f1": 0.8755702215614461,
"eval_loss": 0.4554330110549927,
"eval_precision": 0.8632157235517781,
"eval_recall": 0.8937534097108566,
"eval_runtime": 4.9562,
"eval_samples_per_second": 80.505,
"eval_steps_per_second": 10.088,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 15.863175392150879,
"learning_rate": 4e-05,
"loss": 0.0886,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.9072681704260651,
"eval_f1": 0.8854915648632926,
"eval_loss": 0.44412538409233093,
"eval_precision": 0.8956662848415425,
"eval_recall": 0.8768867066739408,
"eval_runtime": 4.9565,
"eval_samples_per_second": 80.5,
"eval_steps_per_second": 10.088,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 0.03718271106481552,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.0611,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.9047619047619048,
"eval_f1": 0.8839406001224739,
"eval_loss": 0.4922772943973541,
"eval_precision": 0.8880654743486602,
"eval_recall": 0.880114566284779,
"eval_runtime": 4.9305,
"eval_samples_per_second": 80.925,
"eval_steps_per_second": 10.141,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 0.006236851681023836,
"learning_rate": 3.5e-05,
"loss": 0.0366,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.899749373433584,
"eval_f1": 0.8813841488792438,
"eval_loss": 0.6796092391014099,
"eval_precision": 0.8748029197080291,
"eval_recall": 0.8890707401345699,
"eval_runtime": 4.9528,
"eval_samples_per_second": 80.56,
"eval_steps_per_second": 10.095,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 0.006574722938239574,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.0358,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.9047619047619048,
"eval_f1": 0.8820775261324042,
"eval_loss": 0.5746134519577026,
"eval_precision": 0.8934835488413775,
"eval_recall": 0.8726132024004365,
"eval_runtime": 4.962,
"eval_samples_per_second": 80.411,
"eval_steps_per_second": 10.077,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 0.0049128723330795765,
"learning_rate": 3e-05,
"loss": 0.0272,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8947368421052632,
"eval_f1": 0.8736504011098378,
"eval_loss": 0.5952700972557068,
"eval_precision": 0.8718487394957983,
"eval_recall": 0.8755228223313329,
"eval_runtime": 4.9497,
"eval_samples_per_second": 80.612,
"eval_steps_per_second": 10.102,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 0.006197785492986441,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.0231,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.899749373433584,
"eval_f1": 0.8751876876876876,
"eval_loss": 0.6506014466285706,
"eval_precision": 0.8891156462585035,
"eval_recall": 0.864066193853428,
"eval_runtime": 4.9626,
"eval_samples_per_second": 80.401,
"eval_steps_per_second": 10.075,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 0.009196682833135128,
"learning_rate": 2.5e-05,
"loss": 0.0141,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8823853973772722,
"eval_loss": 0.6854431629180908,
"eval_precision": 0.8814464081066409,
"eval_recall": 0.8833424258956174,
"eval_runtime": 4.945,
"eval_samples_per_second": 80.688,
"eval_steps_per_second": 10.111,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 0.01001653354614973,
"learning_rate": 2.25e-05,
"loss": 0.023,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8823853973772722,
"eval_loss": 0.7218220829963684,
"eval_precision": 0.8814464081066409,
"eval_recall": 0.8833424258956174,
"eval_runtime": 4.9612,
"eval_samples_per_second": 80.424,
"eval_steps_per_second": 10.078,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 0.0031623237300664186,
"learning_rate": 2e-05,
"loss": 0.0067,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8823853973772722,
"eval_loss": 0.7694610357284546,
"eval_precision": 0.8814464081066409,
"eval_recall": 0.8833424258956174,
"eval_runtime": 4.9888,
"eval_samples_per_second": 79.98,
"eval_steps_per_second": 10.023,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 0.002341507002711296,
"learning_rate": 1.75e-05,
"loss": 0.0064,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8602043795620438,
"eval_loss": 0.9004446268081665,
"eval_precision": 0.849624060150376,
"eval_recall": 0.8748863429714493,
"eval_runtime": 4.9345,
"eval_samples_per_second": 80.86,
"eval_steps_per_second": 10.133,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 0.0026841196231544018,
"learning_rate": 1.5e-05,
"loss": 0.0103,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8835263209107715,
"eval_loss": 0.7978267073631287,
"eval_precision": 0.8791501449961532,
"eval_recall": 0.8883433351518457,
"eval_runtime": 4.9323,
"eval_samples_per_second": 80.895,
"eval_steps_per_second": 10.137,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 0.0031805976759642363,
"learning_rate": 1.25e-05,
"loss": 0.0072,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.899749373433584,
"eval_f1": 0.8790689216221131,
"eval_loss": 0.8251467943191528,
"eval_precision": 0.8790689216221131,
"eval_recall": 0.8790689216221131,
"eval_runtime": 4.9785,
"eval_samples_per_second": 80.144,
"eval_steps_per_second": 10.043,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 0.0014117677928879857,
"learning_rate": 1e-05,
"loss": 0.0054,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8823853973772722,
"eval_loss": 0.7715300917625427,
"eval_precision": 0.8814464081066409,
"eval_recall": 0.8833424258956174,
"eval_runtime": 4.9483,
"eval_samples_per_second": 80.634,
"eval_steps_per_second": 10.104,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 0.0014807094121351838,
"learning_rate": 7.5e-06,
"loss": 0.0038,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.9072681704260651,
"eval_f1": 0.8867007927797945,
"eval_loss": 0.7821339964866638,
"eval_precision": 0.89198606271777,
"eval_recall": 0.8818876159301692,
"eval_runtime": 4.951,
"eval_samples_per_second": 80.589,
"eval_steps_per_second": 10.099,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 0.0014356797328218818,
"learning_rate": 5e-06,
"loss": 0.0021,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8972431077694235,
"eval_f1": 0.8763538792940554,
"eval_loss": 0.8211472630500793,
"eval_precision": 0.8754297605404427,
"eval_recall": 0.877295871976723,
"eval_runtime": 4.9494,
"eval_samples_per_second": 80.616,
"eval_steps_per_second": 10.102,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 0.0011136590037494898,
"learning_rate": 2.5e-06,
"loss": 0.0022,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.899749373433584,
"eval_f1": 0.8790689216221131,
"eval_loss": 0.8161725401878357,
"eval_precision": 0.8790689216221131,
"eval_recall": 0.8790689216221131,
"eval_runtime": 4.9488,
"eval_samples_per_second": 80.626,
"eval_steps_per_second": 10.104,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 0.0013613783521577716,
"learning_rate": 0.0,
"loss": 0.0027,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.9022556390977443,
"eval_f1": 0.8817957385392532,
"eval_loss": 0.8104944229125977,
"eval_precision": 0.8827677592299257,
"eval_recall": 0.8808419712675032,
"eval_runtime": 4.9834,
"eval_samples_per_second": 80.065,
"eval_steps_per_second": 10.033,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 7584162436176000.0,
"train_loss": 0.05662053943168922,
"train_runtime": 2686.8503,
"train_samples_per_second": 27.08,
"train_steps_per_second": 0.908
}
],
"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
}