loris3's picture
Upload folder using huggingface_hub
5430221 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.998804113848362,
"eval_steps": 500,
"global_step": 5220,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09567089213106912,
"grad_norm": 52.15945816040039,
"learning_rate": 2.5e-06,
"loss": 10.7426,
"step": 50
},
{
"epoch": 0.19134178426213824,
"grad_norm": 38.14910125732422,
"learning_rate": 5e-06,
"loss": 10.0104,
"step": 100
},
{
"epoch": 0.2870126763932074,
"grad_norm": 39.01994705200195,
"learning_rate": 7.5e-06,
"loss": 9.6031,
"step": 150
},
{
"epoch": 0.3826835685242765,
"grad_norm": 33.76708984375,
"learning_rate": 1e-05,
"loss": 9.1839,
"step": 200
},
{
"epoch": 0.4783544606553456,
"grad_norm": 35.43233108520508,
"learning_rate": 1.25e-05,
"loss": 8.7209,
"step": 250
},
{
"epoch": 0.5740253527864148,
"grad_norm": 29.526994705200195,
"learning_rate": 1.5e-05,
"loss": 8.2324,
"step": 300
},
{
"epoch": 0.6696962449174838,
"grad_norm": 35.25413131713867,
"learning_rate": 1.7500000000000002e-05,
"loss": 7.7545,
"step": 350
},
{
"epoch": 0.765367137048553,
"grad_norm": 40.43191909790039,
"learning_rate": 2e-05,
"loss": 7.3315,
"step": 400
},
{
"epoch": 0.8610380291796221,
"grad_norm": 30.023365020751953,
"learning_rate": 2.2499999999999998e-05,
"loss": 6.963,
"step": 450
},
{
"epoch": 0.9567089213106912,
"grad_norm": 31.878944396972656,
"learning_rate": 2.5e-05,
"loss": 6.7297,
"step": 500
},
{
"epoch": 0.9988041138483617,
"eval_accuracy": 0.0,
"eval_loss": 6.555630207061768,
"eval_normalizer": 94012.0,
"eval_runtime": 80.2813,
"eval_samples_per_second": 665.871,
"eval_steps_per_second": 1.308,
"step": 522
},
{
"epoch": 1.0535756995933987,
"grad_norm": 23.939258575439453,
"learning_rate": 2.75e-05,
"loss": 6.5661,
"step": 550
},
{
"epoch": 1.1492465917244679,
"grad_norm": 28.73314666748047,
"learning_rate": 3e-05,
"loss": 6.4297,
"step": 600
},
{
"epoch": 1.244917483855537,
"grad_norm": 25.804365158081055,
"learning_rate": 3.2500000000000004e-05,
"loss": 6.3161,
"step": 650
},
{
"epoch": 1.3405883759866062,
"grad_norm": 28.974842071533203,
"learning_rate": 3.5000000000000004e-05,
"loss": 6.231,
"step": 700
},
{
"epoch": 1.4362592681176751,
"grad_norm": 30.538211822509766,
"learning_rate": 3.75e-05,
"loss": 6.1787,
"step": 750
},
{
"epoch": 1.5319301602487443,
"grad_norm": 22.466585159301758,
"learning_rate": 4e-05,
"loss": 6.1109,
"step": 800
},
{
"epoch": 1.6276010523798135,
"grad_norm": 25.896324157714844,
"learning_rate": 4.25e-05,
"loss": 6.0128,
"step": 850
},
{
"epoch": 1.7232719445108826,
"grad_norm": 26.904653549194336,
"learning_rate": 4.4999999999999996e-05,
"loss": 5.9551,
"step": 900
},
{
"epoch": 1.8189428366419516,
"grad_norm": 26.616758346557617,
"learning_rate": 4.75e-05,
"loss": 5.8732,
"step": 950
},
{
"epoch": 1.9146137287730207,
"grad_norm": 30.21148109436035,
"learning_rate": 5e-05,
"loss": 5.7962,
"step": 1000
},
{
"epoch": 1.9988041138483617,
"eval_accuracy": 0.0,
"eval_loss": 5.6822733879089355,
"eval_normalizer": 93558.0,
"eval_runtime": 78.5931,
"eval_samples_per_second": 680.174,
"eval_steps_per_second": 1.336,
"step": 1044
},
{
"epoch": 2.0114805070557282,
"grad_norm": 29.994068145751953,
"learning_rate": 5.25e-05,
"loss": 5.7392,
"step": 1050
},
{
"epoch": 2.1071513991867974,
"grad_norm": 35.065006256103516,
"learning_rate": 5.5e-05,
"loss": 5.6481,
"step": 1100
},
{
"epoch": 2.2028222913178666,
"grad_norm": 37.09373092651367,
"learning_rate": 5.75e-05,
"loss": 5.5441,
"step": 1150
},
{
"epoch": 2.2984931834489357,
"grad_norm": 32.272159576416016,
"learning_rate": 6e-05,
"loss": 5.4931,
"step": 1200
},
{
"epoch": 2.394164075580005,
"grad_norm": 27.136716842651367,
"learning_rate": 6.25e-05,
"loss": 5.4324,
"step": 1250
},
{
"epoch": 2.489834967711074,
"grad_norm": 28.377527236938477,
"learning_rate": 6.500000000000001e-05,
"loss": 5.3281,
"step": 1300
},
{
"epoch": 2.5855058598421428,
"grad_norm": 25.35126495361328,
"learning_rate": 6.75e-05,
"loss": 5.2737,
"step": 1350
},
{
"epoch": 2.6811767519732124,
"grad_norm": 27.91370964050293,
"learning_rate": 7.000000000000001e-05,
"loss": 5.1901,
"step": 1400
},
{
"epoch": 2.776847644104281,
"grad_norm": 24.87859344482422,
"learning_rate": 7.25e-05,
"loss": 5.141,
"step": 1450
},
{
"epoch": 2.8725185362353503,
"grad_norm": 27.901790618896484,
"learning_rate": 7.5e-05,
"loss": 5.0599,
"step": 1500
},
{
"epoch": 2.9681894283664194,
"grad_norm": 25.183063507080078,
"learning_rate": 7.75e-05,
"loss": 5.034,
"step": 1550
},
{
"epoch": 2.9988041138483617,
"eval_accuracy": 0.0,
"eval_loss": 4.937503337860107,
"eval_normalizer": 94216.0,
"eval_runtime": 75.5016,
"eval_samples_per_second": 708.024,
"eval_steps_per_second": 1.391,
"step": 1566
},
{
"epoch": 3.065056206649127,
"grad_norm": 26.59418487548828,
"learning_rate": 8e-05,
"loss": 4.9628,
"step": 1600
},
{
"epoch": 3.160727098780196,
"grad_norm": 25.259281158447266,
"learning_rate": 8.25e-05,
"loss": 4.9004,
"step": 1650
},
{
"epoch": 3.2563979909112652,
"grad_norm": 25.84400749206543,
"learning_rate": 8.5e-05,
"loss": 4.8452,
"step": 1700
},
{
"epoch": 3.3520688830423344,
"grad_norm": 25.52320671081543,
"learning_rate": 8.75e-05,
"loss": 4.7968,
"step": 1750
},
{
"epoch": 3.4477397751734036,
"grad_norm": 26.29749298095703,
"learning_rate": 8.999999999999999e-05,
"loss": 4.7601,
"step": 1800
},
{
"epoch": 3.5434106673044727,
"grad_norm": 27.535959243774414,
"learning_rate": 9.25e-05,
"loss": 4.7155,
"step": 1850
},
{
"epoch": 3.639081559435542,
"grad_norm": 23.676984786987305,
"learning_rate": 9.5e-05,
"loss": 4.6651,
"step": 1900
},
{
"epoch": 3.734752451566611,
"grad_norm": 22.59883689880371,
"learning_rate": 9.750000000000001e-05,
"loss": 4.6527,
"step": 1950
},
{
"epoch": 3.83042334369768,
"grad_norm": 21.733461380004883,
"learning_rate": 0.0001,
"loss": 4.616,
"step": 2000
},
{
"epoch": 3.926094235828749,
"grad_norm": 25.904829025268555,
"learning_rate": 0.0001025,
"loss": 4.5769,
"step": 2050
},
{
"epoch": 3.9988041138483617,
"eval_accuracy": 0.0,
"eval_loss": 4.510604381561279,
"eval_normalizer": 93665.0,
"eval_runtime": 76.2941,
"eval_samples_per_second": 700.67,
"eval_steps_per_second": 1.376,
"step": 2088
},
{
"epoch": 4.0229610141114565,
"grad_norm": 21.005359649658203,
"learning_rate": 0.000105,
"loss": 4.5525,
"step": 2100
},
{
"epoch": 4.118631906242526,
"grad_norm": 25.174129486083984,
"learning_rate": 0.0001075,
"loss": 4.4938,
"step": 2150
},
{
"epoch": 4.214302798373595,
"grad_norm": 22.09128189086914,
"learning_rate": 0.00011,
"loss": 4.4503,
"step": 2200
},
{
"epoch": 4.309973690504664,
"grad_norm": 21.93778419494629,
"learning_rate": 0.00011250000000000001,
"loss": 4.4222,
"step": 2250
},
{
"epoch": 4.405644582635733,
"grad_norm": 22.780986785888672,
"learning_rate": 0.000115,
"loss": 4.388,
"step": 2300
},
{
"epoch": 4.501315474766802,
"grad_norm": 24.103681564331055,
"learning_rate": 0.0001175,
"loss": 4.3805,
"step": 2350
},
{
"epoch": 4.596986366897871,
"grad_norm": 27.335912704467773,
"learning_rate": 0.00012,
"loss": 4.3188,
"step": 2400
},
{
"epoch": 4.69265725902894,
"grad_norm": 21.6763916015625,
"learning_rate": 0.0001225,
"loss": 4.2918,
"step": 2450
},
{
"epoch": 4.78832815116001,
"grad_norm": 24.06027603149414,
"learning_rate": 0.000125,
"loss": 4.2723,
"step": 2500
},
{
"epoch": 4.8839990432910785,
"grad_norm": 23.394180297851562,
"learning_rate": 0.0001275,
"loss": 4.2586,
"step": 2550
},
{
"epoch": 4.979669935422148,
"grad_norm": 25.303680419921875,
"learning_rate": 0.00013000000000000002,
"loss": 4.2298,
"step": 2600
},
{
"epoch": 4.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 4.226888656616211,
"eval_normalizer": 94313.0,
"eval_runtime": 77.1025,
"eval_samples_per_second": 693.324,
"eval_steps_per_second": 1.362,
"step": 2610
},
{
"epoch": 5.076536713704855,
"grad_norm": 23.319316864013672,
"learning_rate": 0.00013250000000000002,
"loss": 4.2049,
"step": 2650
},
{
"epoch": 5.172207605835925,
"grad_norm": 27.484468460083008,
"learning_rate": 0.000135,
"loss": 4.1758,
"step": 2700
},
{
"epoch": 5.2678784979669935,
"grad_norm": 25.021984100341797,
"learning_rate": 0.0001375,
"loss": 4.1389,
"step": 2750
},
{
"epoch": 5.363549390098063,
"grad_norm": 24.843420028686523,
"learning_rate": 0.00014000000000000001,
"loss": 4.123,
"step": 2800
},
{
"epoch": 5.459220282229132,
"grad_norm": 22.530752182006836,
"learning_rate": 0.0001425,
"loss": 4.1117,
"step": 2850
},
{
"epoch": 5.5548911743602005,
"grad_norm": 23.811887741088867,
"learning_rate": 0.000145,
"loss": 4.0883,
"step": 2900
},
{
"epoch": 5.65056206649127,
"grad_norm": 22.435691833496094,
"learning_rate": 0.0001475,
"loss": 4.0598,
"step": 2950
},
{
"epoch": 5.746232958622339,
"grad_norm": 22.16675567626953,
"learning_rate": 0.00015,
"loss": 4.0562,
"step": 3000
},
{
"epoch": 5.8419038507534085,
"grad_norm": 26.84369468688965,
"learning_rate": 0.0001525,
"loss": 4.0424,
"step": 3050
},
{
"epoch": 5.937574742884477,
"grad_norm": 22.534196853637695,
"learning_rate": 0.000155,
"loss": 4.0289,
"step": 3100
},
{
"epoch": 5.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 4.000634670257568,
"eval_normalizer": 93901.0,
"eval_runtime": 76.1749,
"eval_samples_per_second": 701.767,
"eval_steps_per_second": 1.378,
"step": 3132
},
{
"epoch": 6.034441521167185,
"grad_norm": 22.28015899658203,
"learning_rate": 0.0001575,
"loss": 4.0049,
"step": 3150
},
{
"epoch": 6.130112413298254,
"grad_norm": 22.31985855102539,
"learning_rate": 0.00016,
"loss": 3.9543,
"step": 3200
},
{
"epoch": 6.2257833054293235,
"grad_norm": 26.62820053100586,
"learning_rate": 0.00016250000000000002,
"loss": 3.96,
"step": 3250
},
{
"epoch": 6.321454197560392,
"grad_norm": 22.462852478027344,
"learning_rate": 0.000165,
"loss": 3.9324,
"step": 3300
},
{
"epoch": 6.417125089691462,
"grad_norm": 21.36258888244629,
"learning_rate": 0.0001675,
"loss": 3.9276,
"step": 3350
},
{
"epoch": 6.5127959818225305,
"grad_norm": 21.731992721557617,
"learning_rate": 0.00017,
"loss": 3.8995,
"step": 3400
},
{
"epoch": 6.608466873953599,
"grad_norm": 21.62281608581543,
"learning_rate": 0.0001725,
"loss": 3.9031,
"step": 3450
},
{
"epoch": 6.704137766084669,
"grad_norm": 22.04605484008789,
"learning_rate": 0.000175,
"loss": 3.8636,
"step": 3500
},
{
"epoch": 6.7998086582157375,
"grad_norm": 22.352691650390625,
"learning_rate": 0.0001775,
"loss": 3.8825,
"step": 3550
},
{
"epoch": 6.895479550346807,
"grad_norm": 23.3765811920166,
"learning_rate": 0.00017999999999999998,
"loss": 3.842,
"step": 3600
},
{
"epoch": 6.991150442477876,
"grad_norm": 21.487628936767578,
"learning_rate": 0.0001825,
"loss": 3.8673,
"step": 3650
},
{
"epoch": 6.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 3.867459774017334,
"eval_normalizer": 94462.0,
"eval_runtime": 77.3784,
"eval_samples_per_second": 690.852,
"eval_steps_per_second": 1.357,
"step": 3654
},
{
"epoch": 7.088017220760584,
"grad_norm": 21.705764770507812,
"learning_rate": 0.000185,
"loss": 3.794,
"step": 3700
},
{
"epoch": 7.1836881128916525,
"grad_norm": 21.813831329345703,
"learning_rate": 0.0001875,
"loss": 3.8044,
"step": 3750
},
{
"epoch": 7.279359005022722,
"grad_norm": 23.83123779296875,
"learning_rate": 0.00019,
"loss": 3.7978,
"step": 3800
},
{
"epoch": 7.375029897153791,
"grad_norm": 22.62957000732422,
"learning_rate": 0.00019250000000000002,
"loss": 3.7845,
"step": 3850
},
{
"epoch": 7.4707007892848605,
"grad_norm": 23.31735610961914,
"learning_rate": 0.00019500000000000002,
"loss": 3.7775,
"step": 3900
},
{
"epoch": 7.566371681415929,
"grad_norm": 21.118228912353516,
"learning_rate": 0.0001975,
"loss": 3.7552,
"step": 3950
},
{
"epoch": 7.662042573546998,
"grad_norm": 21.326833724975586,
"learning_rate": 0.0002,
"loss": 3.7476,
"step": 4000
},
{
"epoch": 7.7577134656780675,
"grad_norm": 23.456077575683594,
"learning_rate": 0.00020250000000000002,
"loss": 3.7478,
"step": 4050
},
{
"epoch": 7.853384357809136,
"grad_norm": 23.339223861694336,
"learning_rate": 0.000205,
"loss": 3.7394,
"step": 4100
},
{
"epoch": 7.949055249940206,
"grad_norm": 22.789596557617188,
"learning_rate": 0.0002075,
"loss": 3.7111,
"step": 4150
},
{
"epoch": 7.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 3.691098928451538,
"eval_normalizer": 93833.0,
"eval_runtime": 76.6695,
"eval_samples_per_second": 697.239,
"eval_steps_per_second": 1.37,
"step": 4176
},
{
"epoch": 8.045922028222913,
"grad_norm": 21.58089256286621,
"learning_rate": 0.00021,
"loss": 3.7079,
"step": 4200
},
{
"epoch": 8.141592920353983,
"grad_norm": 20.514217376708984,
"learning_rate": 0.0002125,
"loss": 3.6871,
"step": 4250
},
{
"epoch": 8.237263812485052,
"grad_norm": 23.554931640625,
"learning_rate": 0.000215,
"loss": 3.6725,
"step": 4300
},
{
"epoch": 8.33293470461612,
"grad_norm": 22.691059112548828,
"learning_rate": 0.0002175,
"loss": 3.6517,
"step": 4350
},
{
"epoch": 8.42860559674719,
"grad_norm": 22.110071182250977,
"learning_rate": 0.00022,
"loss": 3.6511,
"step": 4400
},
{
"epoch": 8.52427648887826,
"grad_norm": 19.855382919311523,
"learning_rate": 0.00022250000000000001,
"loss": 3.6681,
"step": 4450
},
{
"epoch": 8.619947381009329,
"grad_norm": 22.0894832611084,
"learning_rate": 0.00022500000000000002,
"loss": 3.6507,
"step": 4500
},
{
"epoch": 8.715618273140397,
"grad_norm": 23.990575790405273,
"learning_rate": 0.0002275,
"loss": 3.6393,
"step": 4550
},
{
"epoch": 8.811289165271466,
"grad_norm": 21.28339385986328,
"learning_rate": 0.00023,
"loss": 3.6315,
"step": 4600
},
{
"epoch": 8.906960057402536,
"grad_norm": 22.376495361328125,
"learning_rate": 0.0002325,
"loss": 3.6439,
"step": 4650
},
{
"epoch": 8.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 3.6127943992614746,
"eval_normalizer": 93564.0,
"eval_runtime": 76.7151,
"eval_samples_per_second": 696.825,
"eval_steps_per_second": 1.369,
"step": 4698
},
{
"epoch": 9.003826835685242,
"grad_norm": 22.337303161621094,
"learning_rate": 0.000235,
"loss": 3.6189,
"step": 4700
},
{
"epoch": 9.099497727816312,
"grad_norm": 24.05891990661621,
"learning_rate": 0.0002375,
"loss": 3.5907,
"step": 4750
},
{
"epoch": 9.195168619947381,
"grad_norm": 22.653688430786133,
"learning_rate": 0.00024,
"loss": 3.5761,
"step": 4800
},
{
"epoch": 9.29083951207845,
"grad_norm": 23.781784057617188,
"learning_rate": 0.00024249999999999999,
"loss": 3.5977,
"step": 4850
},
{
"epoch": 9.386510404209519,
"grad_norm": 23.226131439208984,
"learning_rate": 0.000245,
"loss": 3.5795,
"step": 4900
},
{
"epoch": 9.482181296340588,
"grad_norm": 22.053850173950195,
"learning_rate": 0.0002475,
"loss": 3.5764,
"step": 4950
},
{
"epoch": 9.577852188471658,
"grad_norm": 24.456905364990234,
"learning_rate": 0.00025,
"loss": 3.5679,
"step": 5000
},
{
"epoch": 9.673523080602727,
"grad_norm": 22.206666946411133,
"learning_rate": 0.0002525,
"loss": 3.5687,
"step": 5050
},
{
"epoch": 9.769193972733795,
"grad_norm": 22.609806060791016,
"learning_rate": 0.000255,
"loss": 3.5467,
"step": 5100
},
{
"epoch": 9.864864864864865,
"grad_norm": 21.875648498535156,
"learning_rate": 0.0002575,
"loss": 3.5564,
"step": 5150
},
{
"epoch": 9.960535756995935,
"grad_norm": 23.007858276367188,
"learning_rate": 0.00026000000000000003,
"loss": 3.5639,
"step": 5200
},
{
"epoch": 9.998804113848362,
"eval_accuracy": 0.0,
"eval_loss": 3.581686019897461,
"eval_normalizer": 93774.0,
"eval_runtime": 78.784,
"eval_samples_per_second": 678.526,
"eval_steps_per_second": 1.333,
"step": 5220
}
],
"logging_steps": 50,
"max_steps": 5220,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 8.270057635064955e+17,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}