modelsent_test / trainer_state.json
Frenz's picture
Frenz/modelsent_test
f72fd97 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.993894993894994,
"eval_steps": 100,
"global_step": 1227,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02442002442002442,
"grad_norm": 25.41930389404297,
"learning_rate": 4.0000000000000003e-07,
"loss": 0.8076,
"step": 10
},
{
"epoch": 0.04884004884004884,
"grad_norm": 11.460826873779297,
"learning_rate": 8.000000000000001e-07,
"loss": 0.7516,
"step": 20
},
{
"epoch": 0.07326007326007326,
"grad_norm": 7.831686973571777,
"learning_rate": 1.2000000000000002e-06,
"loss": 0.7034,
"step": 30
},
{
"epoch": 0.09768009768009768,
"grad_norm": 7.234014987945557,
"learning_rate": 1.6000000000000001e-06,
"loss": 0.6996,
"step": 40
},
{
"epoch": 0.1221001221001221,
"grad_norm": 5.096914768218994,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.6809,
"step": 50
},
{
"epoch": 0.14652014652014653,
"grad_norm": 8.638614654541016,
"learning_rate": 2.4000000000000003e-06,
"loss": 0.6892,
"step": 60
},
{
"epoch": 0.17094017094017094,
"grad_norm": 13.534109115600586,
"learning_rate": 2.8000000000000003e-06,
"loss": 0.6603,
"step": 70
},
{
"epoch": 0.19536019536019536,
"grad_norm": 12.838939666748047,
"learning_rate": 3.2000000000000003e-06,
"loss": 0.6225,
"step": 80
},
{
"epoch": 0.21978021978021978,
"grad_norm": 14.190698623657227,
"learning_rate": 3.6000000000000003e-06,
"loss": 0.5716,
"step": 90
},
{
"epoch": 0.2442002442002442,
"grad_norm": 18.23443031311035,
"learning_rate": 4.000000000000001e-06,
"loss": 0.5403,
"step": 100
},
{
"epoch": 0.2442002442002442,
"eval_accuracy": 0.7611484422724496,
"eval_accuracy_label_negative": 0.8535353535353535,
"eval_accuracy_label_positive": 0.6745562130177515,
"eval_f1": 0.7596398965081889,
"eval_loss": 0.5274035930633545,
"eval_precision": 0.772811008310922,
"eval_recall": 0.7611484422724496,
"eval_runtime": 5.88,
"eval_samples_per_second": 278.402,
"eval_steps_per_second": 17.517,
"step": 100
},
{
"epoch": 0.2686202686202686,
"grad_norm": 14.831952095031738,
"learning_rate": 4.4e-06,
"loss": 0.5022,
"step": 110
},
{
"epoch": 0.29304029304029305,
"grad_norm": 18.24405860900879,
"learning_rate": 4.800000000000001e-06,
"loss": 0.4786,
"step": 120
},
{
"epoch": 0.31746031746031744,
"grad_norm": 16.866863250732422,
"learning_rate": 5.2e-06,
"loss": 0.3629,
"step": 130
},
{
"epoch": 0.3418803418803419,
"grad_norm": 18.194087982177734,
"learning_rate": 5.600000000000001e-06,
"loss": 0.3523,
"step": 140
},
{
"epoch": 0.3663003663003663,
"grad_norm": 16.094165802001953,
"learning_rate": 6e-06,
"loss": 0.3272,
"step": 150
},
{
"epoch": 0.3907203907203907,
"grad_norm": 41.393802642822266,
"learning_rate": 6.4000000000000006e-06,
"loss": 0.307,
"step": 160
},
{
"epoch": 0.41514041514041516,
"grad_norm": 23.695520401000977,
"learning_rate": 6.800000000000001e-06,
"loss": 0.2551,
"step": 170
},
{
"epoch": 0.43956043956043955,
"grad_norm": 30.489437103271484,
"learning_rate": 7.2000000000000005e-06,
"loss": 0.2536,
"step": 180
},
{
"epoch": 0.463980463980464,
"grad_norm": 47.37874221801758,
"learning_rate": 7.600000000000001e-06,
"loss": 0.2622,
"step": 190
},
{
"epoch": 0.4884004884004884,
"grad_norm": 26.136856079101562,
"learning_rate": 8.000000000000001e-06,
"loss": 0.2673,
"step": 200
},
{
"epoch": 0.4884004884004884,
"eval_accuracy": 0.8979841172877214,
"eval_accuracy_label_negative": 0.922979797979798,
"eval_accuracy_label_positive": 0.8745562130177514,
"eval_f1": 0.8979978224223449,
"eval_loss": 0.2805691063404083,
"eval_precision": 0.8993693797991343,
"eval_recall": 0.8979841172877214,
"eval_runtime": 6.3687,
"eval_samples_per_second": 257.038,
"eval_steps_per_second": 16.173,
"step": 200
},
{
"epoch": 0.5128205128205128,
"grad_norm": 17.713157653808594,
"learning_rate": 8.400000000000001e-06,
"loss": 0.1874,
"step": 210
},
{
"epoch": 0.5372405372405372,
"grad_norm": 5.685952186584473,
"learning_rate": 8.8e-06,
"loss": 0.2565,
"step": 220
},
{
"epoch": 0.5616605616605617,
"grad_norm": 64.32303619384766,
"learning_rate": 9.200000000000002e-06,
"loss": 0.2763,
"step": 230
},
{
"epoch": 0.5860805860805861,
"grad_norm": 26.14358139038086,
"learning_rate": 9.600000000000001e-06,
"loss": 0.2193,
"step": 240
},
{
"epoch": 0.6105006105006106,
"grad_norm": 51.215972900390625,
"learning_rate": 1e-05,
"loss": 0.2645,
"step": 250
},
{
"epoch": 0.6349206349206349,
"grad_norm": 77.36116027832031,
"learning_rate": 1.04e-05,
"loss": 0.2887,
"step": 260
},
{
"epoch": 0.6593406593406593,
"grad_norm": 12.419713020324707,
"learning_rate": 1.0800000000000002e-05,
"loss": 0.2836,
"step": 270
},
{
"epoch": 0.6837606837606838,
"grad_norm": 51.27354049682617,
"learning_rate": 1.1200000000000001e-05,
"loss": 0.2279,
"step": 280
},
{
"epoch": 0.7081807081807082,
"grad_norm": 15.182161331176758,
"learning_rate": 1.16e-05,
"loss": 0.23,
"step": 290
},
{
"epoch": 0.7326007326007326,
"grad_norm": 20.174087524414062,
"learning_rate": 1.2e-05,
"loss": 0.247,
"step": 300
},
{
"epoch": 0.7326007326007326,
"eval_accuracy": 0.902871105681124,
"eval_accuracy_label_negative": 0.8434343434343434,
"eval_accuracy_label_positive": 0.9585798816568047,
"eval_f1": 0.9024095653522399,
"eval_loss": 0.26104938983917236,
"eval_precision": 0.9073823065773275,
"eval_recall": 0.902871105681124,
"eval_runtime": 6.46,
"eval_samples_per_second": 253.406,
"eval_steps_per_second": 15.944,
"step": 300
},
{
"epoch": 0.757020757020757,
"grad_norm": 19.257923126220703,
"learning_rate": 1.2400000000000002e-05,
"loss": 0.2514,
"step": 310
},
{
"epoch": 0.7814407814407814,
"grad_norm": 13.050935745239258,
"learning_rate": 1.2800000000000001e-05,
"loss": 0.216,
"step": 320
},
{
"epoch": 0.8058608058608059,
"grad_norm": 1.8762781620025635,
"learning_rate": 1.3200000000000002e-05,
"loss": 0.2239,
"step": 330
},
{
"epoch": 0.8302808302808303,
"grad_norm": 14.866827964782715,
"learning_rate": 1.3600000000000002e-05,
"loss": 0.2124,
"step": 340
},
{
"epoch": 0.8547008547008547,
"grad_norm": 16.646745681762695,
"learning_rate": 1.4e-05,
"loss": 0.2341,
"step": 350
},
{
"epoch": 0.8791208791208791,
"grad_norm": 14.468786239624023,
"learning_rate": 1.4400000000000001e-05,
"loss": 0.2397,
"step": 360
},
{
"epoch": 0.9035409035409036,
"grad_norm": 16.370431900024414,
"learning_rate": 1.48e-05,
"loss": 0.2764,
"step": 370
},
{
"epoch": 0.927960927960928,
"grad_norm": 15.854681015014648,
"learning_rate": 1.5200000000000002e-05,
"loss": 0.1964,
"step": 380
},
{
"epoch": 0.9523809523809523,
"grad_norm": 19.42245101928711,
"learning_rate": 1.5600000000000003e-05,
"loss": 0.168,
"step": 390
},
{
"epoch": 0.9768009768009768,
"grad_norm": 4.485373497009277,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.2357,
"step": 400
},
{
"epoch": 0.9768009768009768,
"eval_accuracy": 0.9083689676237019,
"eval_accuracy_label_negative": 0.9318181818181818,
"eval_accuracy_label_positive": 0.8863905325443787,
"eval_f1": 0.9083847657945654,
"eval_loss": 0.2560252249240875,
"eval_precision": 0.9095968991483547,
"eval_recall": 0.9083689676237019,
"eval_runtime": 6.4906,
"eval_samples_per_second": 252.21,
"eval_steps_per_second": 15.869,
"step": 400
},
{
"epoch": 1.0,
"grad_norm": 112.14476013183594,
"learning_rate": 1.64e-05,
"loss": 0.2322,
"step": 410
},
{
"epoch": 1.0244200244200243,
"grad_norm": 19.950773239135742,
"learning_rate": 1.6800000000000002e-05,
"loss": 0.1607,
"step": 420
},
{
"epoch": 1.0488400488400489,
"grad_norm": 14.963955879211426,
"learning_rate": 1.72e-05,
"loss": 0.1943,
"step": 430
},
{
"epoch": 1.0732600732600732,
"grad_norm": 12.724336624145508,
"learning_rate": 1.76e-05,
"loss": 0.1273,
"step": 440
},
{
"epoch": 1.0976800976800978,
"grad_norm": 12.087287902832031,
"learning_rate": 1.8e-05,
"loss": 0.2392,
"step": 450
},
{
"epoch": 1.122100122100122,
"grad_norm": 4.449314117431641,
"learning_rate": 1.8400000000000003e-05,
"loss": 0.2444,
"step": 460
},
{
"epoch": 1.1465201465201464,
"grad_norm": 13.28513240814209,
"learning_rate": 1.88e-05,
"loss": 0.1995,
"step": 470
},
{
"epoch": 1.170940170940171,
"grad_norm": 9.664812088012695,
"learning_rate": 1.9200000000000003e-05,
"loss": 0.2178,
"step": 480
},
{
"epoch": 1.1953601953601953,
"grad_norm": 3.9961328506469727,
"learning_rate": 1.9600000000000002e-05,
"loss": 0.1269,
"step": 490
},
{
"epoch": 1.2197802197802199,
"grad_norm": 6.78753137588501,
"learning_rate": 2e-05,
"loss": 0.2094,
"step": 500
},
{
"epoch": 1.2197802197802199,
"eval_accuracy": 0.9089798411728772,
"eval_accuracy_label_negative": 0.9507575757575758,
"eval_accuracy_label_positive": 0.8698224852071006,
"eval_f1": 0.9089364277932478,
"eval_loss": 0.31265538930892944,
"eval_precision": 0.9123227286547785,
"eval_recall": 0.9089798411728772,
"eval_runtime": 6.4966,
"eval_samples_per_second": 251.979,
"eval_steps_per_second": 15.855,
"step": 500
},
{
"epoch": 1.2442002442002442,
"grad_norm": 4.199306488037109,
"learning_rate": 1.9724896836313617e-05,
"loss": 0.1993,
"step": 510
},
{
"epoch": 1.2686202686202686,
"grad_norm": 47.193603515625,
"learning_rate": 1.9449793672627236e-05,
"loss": 0.1837,
"step": 520
},
{
"epoch": 1.293040293040293,
"grad_norm": 22.490142822265625,
"learning_rate": 1.9174690508940855e-05,
"loss": 0.2295,
"step": 530
},
{
"epoch": 1.3174603174603174,
"grad_norm": 10.449468612670898,
"learning_rate": 1.889958734525447e-05,
"loss": 0.2589,
"step": 540
},
{
"epoch": 1.341880341880342,
"grad_norm": 49.228878021240234,
"learning_rate": 1.862448418156809e-05,
"loss": 0.134,
"step": 550
},
{
"epoch": 1.3663003663003663,
"grad_norm": 43.437068939208984,
"learning_rate": 1.8349381017881708e-05,
"loss": 0.2905,
"step": 560
},
{
"epoch": 1.3907203907203907,
"grad_norm": 22.296707153320312,
"learning_rate": 1.8074277854195327e-05,
"loss": 0.2304,
"step": 570
},
{
"epoch": 1.4151404151404152,
"grad_norm": 13.2725248336792,
"learning_rate": 1.7799174690508942e-05,
"loss": 0.2818,
"step": 580
},
{
"epoch": 1.4395604395604396,
"grad_norm": 4.746452808380127,
"learning_rate": 1.7524071526822558e-05,
"loss": 0.1635,
"step": 590
},
{
"epoch": 1.463980463980464,
"grad_norm": 15.717751502990723,
"learning_rate": 1.7248968363136177e-05,
"loss": 0.1695,
"step": 600
},
{
"epoch": 1.463980463980464,
"eval_accuracy": 0.9187538179596824,
"eval_accuracy_label_negative": 0.9053030303030303,
"eval_accuracy_label_positive": 0.9313609467455621,
"eval_f1": 0.9187176730282378,
"eval_loss": 0.22982099652290344,
"eval_precision": 0.9188801834239158,
"eval_recall": 0.9187538179596824,
"eval_runtime": 6.5054,
"eval_samples_per_second": 251.638,
"eval_steps_per_second": 15.833,
"step": 600
},
{
"epoch": 1.4884004884004884,
"grad_norm": 25.554302215576172,
"learning_rate": 1.6973865199449796e-05,
"loss": 0.1926,
"step": 610
},
{
"epoch": 1.5128205128205128,
"grad_norm": 6.077470779418945,
"learning_rate": 1.669876203576341e-05,
"loss": 0.2561,
"step": 620
},
{
"epoch": 1.537240537240537,
"grad_norm": 19.69429588317871,
"learning_rate": 1.642365887207703e-05,
"loss": 0.1501,
"step": 630
},
{
"epoch": 1.5616605616605617,
"grad_norm": 10.95654010772705,
"learning_rate": 1.614855570839065e-05,
"loss": 0.1852,
"step": 640
},
{
"epoch": 1.5860805860805862,
"grad_norm": 24.821308135986328,
"learning_rate": 1.5873452544704268e-05,
"loss": 0.2113,
"step": 650
},
{
"epoch": 1.6105006105006106,
"grad_norm": 13.17242431640625,
"learning_rate": 1.5598349381017883e-05,
"loss": 0.1237,
"step": 660
},
{
"epoch": 1.6349206349206349,
"grad_norm": 16.253307342529297,
"learning_rate": 1.53232462173315e-05,
"loss": 0.1646,
"step": 670
},
{
"epoch": 1.6593406593406592,
"grad_norm": 28.406679153442383,
"learning_rate": 1.5048143053645119e-05,
"loss": 0.2448,
"step": 680
},
{
"epoch": 1.6837606837606838,
"grad_norm": 15.36701488494873,
"learning_rate": 1.4773039889958736e-05,
"loss": 0.1902,
"step": 690
},
{
"epoch": 1.7081807081807083,
"grad_norm": 33.92890548706055,
"learning_rate": 1.4497936726272352e-05,
"loss": 0.2024,
"step": 700
},
{
"epoch": 1.7081807081807083,
"eval_accuracy": 0.9205864386072083,
"eval_accuracy_label_negative": 0.9393939393939394,
"eval_accuracy_label_positive": 0.9029585798816568,
"eval_f1": 0.920605585060701,
"eval_loss": 0.22175996005535126,
"eval_precision": 0.9214190422768549,
"eval_recall": 0.9205864386072083,
"eval_runtime": 7.338,
"eval_samples_per_second": 223.086,
"eval_steps_per_second": 14.037,
"step": 700
},
{
"epoch": 1.7326007326007327,
"grad_norm": 39.820068359375,
"learning_rate": 1.4222833562585972e-05,
"loss": 0.1628,
"step": 710
},
{
"epoch": 1.757020757020757,
"grad_norm": 14.987146377563477,
"learning_rate": 1.3947730398899588e-05,
"loss": 0.1733,
"step": 720
},
{
"epoch": 1.7814407814407813,
"grad_norm": 7.142777442932129,
"learning_rate": 1.3672627235213205e-05,
"loss": 0.1429,
"step": 730
},
{
"epoch": 1.8058608058608059,
"grad_norm": 40.524967193603516,
"learning_rate": 1.3397524071526824e-05,
"loss": 0.1887,
"step": 740
},
{
"epoch": 1.8302808302808304,
"grad_norm": 15.210890769958496,
"learning_rate": 1.3122420907840441e-05,
"loss": 0.2109,
"step": 750
},
{
"epoch": 1.8547008547008548,
"grad_norm": 14.5702543258667,
"learning_rate": 1.284731774415406e-05,
"loss": 0.1397,
"step": 760
},
{
"epoch": 1.879120879120879,
"grad_norm": 20.027212142944336,
"learning_rate": 1.2572214580467677e-05,
"loss": 0.1263,
"step": 770
},
{
"epoch": 1.9035409035409034,
"grad_norm": 13.660886764526367,
"learning_rate": 1.2297111416781292e-05,
"loss": 0.2006,
"step": 780
},
{
"epoch": 1.927960927960928,
"grad_norm": 8.097176551818848,
"learning_rate": 1.2022008253094913e-05,
"loss": 0.1901,
"step": 790
},
{
"epoch": 1.9523809523809523,
"grad_norm": 4.4079108238220215,
"learning_rate": 1.1746905089408529e-05,
"loss": 0.1155,
"step": 800
},
{
"epoch": 1.9523809523809523,
"eval_accuracy": 0.9236408063530849,
"eval_accuracy_label_negative": 0.9191919191919192,
"eval_accuracy_label_positive": 0.927810650887574,
"eval_f1": 0.923636013636066,
"eval_loss": 0.20613956451416016,
"eval_precision": 0.9236374318453521,
"eval_recall": 0.9236408063530849,
"eval_runtime": 6.4768,
"eval_samples_per_second": 252.75,
"eval_steps_per_second": 15.903,
"step": 800
},
{
"epoch": 1.9768009768009769,
"grad_norm": 16.103919982910156,
"learning_rate": 1.1471801925722146e-05,
"loss": 0.1695,
"step": 810
},
{
"epoch": 2.0,
"grad_norm": 26.186500549316406,
"learning_rate": 1.1196698762035765e-05,
"loss": 0.1878,
"step": 820
},
{
"epoch": 2.0244200244200243,
"grad_norm": 8.27334213256836,
"learning_rate": 1.0921595598349382e-05,
"loss": 0.116,
"step": 830
},
{
"epoch": 2.0488400488400487,
"grad_norm": 9.153972625732422,
"learning_rate": 1.0646492434663e-05,
"loss": 0.1331,
"step": 840
},
{
"epoch": 2.0732600732600734,
"grad_norm": 8.734851837158203,
"learning_rate": 1.0371389270976618e-05,
"loss": 0.1064,
"step": 850
},
{
"epoch": 2.0976800976800978,
"grad_norm": 16.807472229003906,
"learning_rate": 1.0096286107290235e-05,
"loss": 0.1323,
"step": 860
},
{
"epoch": 2.122100122100122,
"grad_norm": 7.338029861450195,
"learning_rate": 9.821182943603852e-06,
"loss": 0.0876,
"step": 870
},
{
"epoch": 2.1465201465201464,
"grad_norm": 51.00392150878906,
"learning_rate": 9.54607977991747e-06,
"loss": 0.0574,
"step": 880
},
{
"epoch": 2.1709401709401708,
"grad_norm": 15.209708213806152,
"learning_rate": 9.270976616231088e-06,
"loss": 0.1536,
"step": 890
},
{
"epoch": 2.1953601953601956,
"grad_norm": 5.431528568267822,
"learning_rate": 8.995873452544705e-06,
"loss": 0.1361,
"step": 900
},
{
"epoch": 2.1953601953601956,
"eval_accuracy": 0.921808185705559,
"eval_accuracy_label_negative": 0.9406565656565656,
"eval_accuracy_label_positive": 0.9041420118343195,
"eval_f1": 0.9218270375982287,
"eval_loss": 0.2299249768257141,
"eval_precision": 0.9226412544476359,
"eval_recall": 0.921808185705559,
"eval_runtime": 6.4607,
"eval_samples_per_second": 253.378,
"eval_steps_per_second": 15.943,
"step": 900
},
{
"epoch": 2.21978021978022,
"grad_norm": 18.443998336791992,
"learning_rate": 8.720770288858322e-06,
"loss": 0.1881,
"step": 910
},
{
"epoch": 2.244200244200244,
"grad_norm": 18.574554443359375,
"learning_rate": 8.44566712517194e-06,
"loss": 0.0946,
"step": 920
},
{
"epoch": 2.2686202686202686,
"grad_norm": 27.33018684387207,
"learning_rate": 8.170563961485558e-06,
"loss": 0.1302,
"step": 930
},
{
"epoch": 2.293040293040293,
"grad_norm": 15.219032287597656,
"learning_rate": 7.895460797799176e-06,
"loss": 0.1475,
"step": 940
},
{
"epoch": 2.317460317460317,
"grad_norm": 23.795124053955078,
"learning_rate": 7.620357634112793e-06,
"loss": 0.1098,
"step": 950
},
{
"epoch": 2.341880341880342,
"grad_norm": 12.746439933776855,
"learning_rate": 7.345254470426411e-06,
"loss": 0.0811,
"step": 960
},
{
"epoch": 2.3663003663003663,
"grad_norm": 2.0957300662994385,
"learning_rate": 7.070151306740029e-06,
"loss": 0.1033,
"step": 970
},
{
"epoch": 2.3907203907203907,
"grad_norm": 20.963695526123047,
"learning_rate": 6.795048143053645e-06,
"loss": 0.1716,
"step": 980
},
{
"epoch": 2.415140415140415,
"grad_norm": 6.032730579376221,
"learning_rate": 6.519944979367263e-06,
"loss": 0.0937,
"step": 990
},
{
"epoch": 2.4395604395604398,
"grad_norm": 18.961658477783203,
"learning_rate": 6.244841815680881e-06,
"loss": 0.1235,
"step": 1000
},
{
"epoch": 2.4395604395604398,
"eval_accuracy": 0.9211973121563837,
"eval_accuracy_label_negative": 0.9633838383838383,
"eval_accuracy_label_positive": 0.8816568047337278,
"eval_f1": 0.9211597260760334,
"eval_loss": 0.26676130294799805,
"eval_precision": 0.9245979890029079,
"eval_recall": 0.9211973121563837,
"eval_runtime": 6.4755,
"eval_samples_per_second": 252.8,
"eval_steps_per_second": 15.906,
"step": 1000
},
{
"epoch": 2.463980463980464,
"grad_norm": 11.030694961547852,
"learning_rate": 5.969738651994499e-06,
"loss": 0.1298,
"step": 1010
},
{
"epoch": 2.4884004884004884,
"grad_norm": 19.397335052490234,
"learning_rate": 5.6946354883081155e-06,
"loss": 0.1046,
"step": 1020
},
{
"epoch": 2.5128205128205128,
"grad_norm": 5.86328125,
"learning_rate": 5.4195323246217335e-06,
"loss": 0.0831,
"step": 1030
},
{
"epoch": 2.537240537240537,
"grad_norm": 5.8682427406311035,
"learning_rate": 5.1444291609353515e-06,
"loss": 0.1152,
"step": 1040
},
{
"epoch": 2.5616605616605614,
"grad_norm": 6.465247631072998,
"learning_rate": 4.869325997248969e-06,
"loss": 0.1316,
"step": 1050
},
{
"epoch": 2.586080586080586,
"grad_norm": 74.92926025390625,
"learning_rate": 4.594222833562587e-06,
"loss": 0.0973,
"step": 1060
},
{
"epoch": 2.6105006105006106,
"grad_norm": 4.780877590179443,
"learning_rate": 4.319119669876204e-06,
"loss": 0.1206,
"step": 1070
},
{
"epoch": 2.634920634920635,
"grad_norm": 23.055227279663086,
"learning_rate": 4.044016506189822e-06,
"loss": 0.1001,
"step": 1080
},
{
"epoch": 2.659340659340659,
"grad_norm": 50.33488082885742,
"learning_rate": 3.768913342503439e-06,
"loss": 0.1537,
"step": 1090
},
{
"epoch": 2.683760683760684,
"grad_norm": 0.44596701860427856,
"learning_rate": 3.4938101788170562e-06,
"loss": 0.084,
"step": 1100
},
{
"epoch": 2.683760683760684,
"eval_accuracy": 0.921808185705559,
"eval_accuracy_label_negative": 0.9545454545454546,
"eval_accuracy_label_positive": 0.8911242603550296,
"eval_f1": 0.9218032836901542,
"eval_loss": 0.2732768654823303,
"eval_precision": 0.9239586674515976,
"eval_recall": 0.921808185705559,
"eval_runtime": 6.4795,
"eval_samples_per_second": 252.643,
"eval_steps_per_second": 15.896,
"step": 1100
},
{
"epoch": 2.7081807081807083,
"grad_norm": 3.0834202766418457,
"learning_rate": 3.2187070151306742e-06,
"loss": 0.1546,
"step": 1110
},
{
"epoch": 2.7326007326007327,
"grad_norm": 6.8805928230285645,
"learning_rate": 2.943603851444292e-06,
"loss": 0.0876,
"step": 1120
},
{
"epoch": 2.757020757020757,
"grad_norm": 0.9852960109710693,
"learning_rate": 2.6685006877579094e-06,
"loss": 0.0884,
"step": 1130
},
{
"epoch": 2.7814407814407813,
"grad_norm": 9.610347747802734,
"learning_rate": 2.393397524071527e-06,
"loss": 0.1781,
"step": 1140
},
{
"epoch": 2.8058608058608057,
"grad_norm": 14.589119911193848,
"learning_rate": 2.1182943603851446e-06,
"loss": 0.1584,
"step": 1150
},
{
"epoch": 2.8302808302808304,
"grad_norm": 5.850516319274902,
"learning_rate": 1.8431911966987622e-06,
"loss": 0.1266,
"step": 1160
},
{
"epoch": 2.8547008547008548,
"grad_norm": 3.190080165863037,
"learning_rate": 1.56808803301238e-06,
"loss": 0.1563,
"step": 1170
},
{
"epoch": 2.879120879120879,
"grad_norm": 8.95765209197998,
"learning_rate": 1.2929848693259976e-06,
"loss": 0.0896,
"step": 1180
},
{
"epoch": 2.9035409035409034,
"grad_norm": 1.606522798538208,
"learning_rate": 1.017881705639615e-06,
"loss": 0.1167,
"step": 1190
},
{
"epoch": 2.927960927960928,
"grad_norm": 31.470670700073242,
"learning_rate": 7.427785419532325e-07,
"loss": 0.1326,
"step": 1200
},
{
"epoch": 2.927960927960928,
"eval_accuracy": 0.9248625534514355,
"eval_accuracy_label_negative": 0.9191919191919192,
"eval_accuracy_label_positive": 0.9301775147928995,
"eval_f1": 0.9248544119857385,
"eval_loss": 0.2394767850637436,
"eval_precision": 0.9248635488205493,
"eval_recall": 0.9248625534514355,
"eval_runtime": 6.4694,
"eval_samples_per_second": 253.036,
"eval_steps_per_second": 15.921,
"step": 1200
},
{
"epoch": 2.9523809523809526,
"grad_norm": 16.254497528076172,
"learning_rate": 4.6767537826685014e-07,
"loss": 0.1154,
"step": 1210
},
{
"epoch": 2.976800976800977,
"grad_norm": 18.331233978271484,
"learning_rate": 1.925722145804677e-07,
"loss": 0.1268,
"step": 1220
},
{
"epoch": 2.993894993894994,
"step": 1227,
"total_flos": 157098652813440.0,
"train_loss": 0.22647988077286502,
"train_runtime": 692.1682,
"train_samples_per_second": 56.735,
"train_steps_per_second": 1.773
},
{
"epoch": 2.993894993894994,
"eval_accuracy": 0.9260843005497862,
"eval_accuracy_label_negative": 0.9242424242424242,
"eval_accuracy_label_positive": 0.927810650887574,
"eval_f1": 0.9260857363073682,
"eval_loss": 0.23794083297252655,
"eval_precision": 0.9260878637932374,
"eval_recall": 0.9260843005497862,
"eval_runtime": 6.4878,
"eval_samples_per_second": 252.32,
"eval_steps_per_second": 15.876,
"step": 1227
}
],
"logging_steps": 10,
"max_steps": 1227,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 1000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 157098652813440.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}