Md Mushfiqur Rahman
Upload with huggingface_hub
723ab9d
raw
history blame contribute delete
No virus
10.8 kB
{
"best_metric": 0.946596004891969,
"best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/mbert/mbert-base-finetuned-masakhaner-zh/checkpoint-3000",
"epoch": 3.4066713981547196,
"global_step": 4800,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14,
"eval_accuracy_score": 0.9769949905874095,
"eval_f1": 0.8151797603195738,
"eval_loss": 0.06385169178247452,
"eval_precision": 0.7889175257731958,
"eval_recall": 0.8432506887052341,
"eval_runtime": 24.1345,
"eval_samples_per_second": 71.309,
"eval_steps_per_second": 8.95,
"step": 200
},
{
"epoch": 0.28,
"eval_accuracy_score": 0.9891728619593079,
"eval_f1": 0.9067463010723497,
"eval_loss": 0.03630797192454338,
"eval_precision": 0.8937650521808937,
"eval_recall": 0.9201101928374655,
"eval_runtime": 24.1366,
"eval_samples_per_second": 71.302,
"eval_steps_per_second": 8.949,
"step": 400
},
{
"epoch": 0.35,
"learning_rate": 4.865771812080537e-05,
"loss": 0.1392,
"step": 500
},
{
"epoch": 0.43,
"eval_accuracy_score": 0.9874924220669411,
"eval_f1": 0.9033054450692636,
"eval_loss": 0.03671281412243843,
"eval_precision": 0.8994810161158153,
"eval_recall": 0.9071625344352617,
"eval_runtime": 24.1358,
"eval_samples_per_second": 71.305,
"eval_steps_per_second": 8.949,
"step": 600
},
{
"epoch": 0.57,
"eval_accuracy_score": 0.9906405879412484,
"eval_f1": 0.9202271498107085,
"eval_loss": 0.030743952840566635,
"eval_precision": 0.903611258629846,
"eval_recall": 0.937465564738292,
"eval_runtime": 24.1206,
"eval_samples_per_second": 71.35,
"eval_steps_per_second": 8.955,
"step": 800
},
{
"epoch": 0.71,
"learning_rate": 4.697986577181208e-05,
"loss": 0.0391,
"step": 1000
},
{
"epoch": 0.71,
"eval_accuracy_score": 0.987524329153505,
"eval_f1": 0.9087680961485933,
"eval_loss": 0.03989069163799286,
"eval_precision": 0.9011375947995667,
"eval_recall": 0.9165289256198347,
"eval_runtime": 24.1074,
"eval_samples_per_second": 71.389,
"eval_steps_per_second": 8.96,
"step": 1000
},
{
"epoch": 0.85,
"eval_accuracy_score": 0.9905555023770779,
"eval_f1": 0.926657645466847,
"eval_loss": 0.032413773238658905,
"eval_precision": 0.9106382978723404,
"eval_recall": 0.9432506887052342,
"eval_runtime": 24.1368,
"eval_samples_per_second": 71.302,
"eval_steps_per_second": 8.949,
"step": 1200
},
{
"epoch": 0.99,
"eval_accuracy_score": 0.989800367995065,
"eval_f1": 0.9251387572762962,
"eval_loss": 0.036592062562704086,
"eval_precision": 0.9095022624434389,
"eval_recall": 0.9413223140495868,
"eval_runtime": 24.1374,
"eval_samples_per_second": 71.3,
"eval_steps_per_second": 8.949,
"step": 1400
},
{
"epoch": 1.06,
"learning_rate": 4.530201342281879e-05,
"loss": 0.0319,
"step": 1500
},
{
"epoch": 1.14,
"eval_accuracy_score": 0.9906724950278123,
"eval_f1": 0.9408690869086909,
"eval_loss": 0.03387833759188652,
"eval_precision": 0.9393190554640307,
"eval_recall": 0.9424242424242424,
"eval_runtime": 24.1207,
"eval_samples_per_second": 71.35,
"eval_steps_per_second": 8.955,
"step": 1600
},
{
"epoch": 1.28,
"eval_accuracy_score": 0.9921508567052743,
"eval_f1": 0.9472521402927369,
"eval_loss": 0.031188521534204483,
"eval_precision": 0.9496124031007752,
"eval_recall": 0.9449035812672176,
"eval_runtime": 24.0966,
"eval_samples_per_second": 71.421,
"eval_steps_per_second": 8.964,
"step": 1800
},
{
"epoch": 1.42,
"learning_rate": 4.36241610738255e-05,
"loss": 0.0215,
"step": 2000
},
{
"epoch": 1.42,
"eval_accuracy_score": 0.9917041574933793,
"eval_f1": 0.9353570944572435,
"eval_loss": 0.028981657698750496,
"eval_precision": 0.920512136569752,
"eval_recall": 0.9506887052341598,
"eval_runtime": 24.134,
"eval_samples_per_second": 71.31,
"eval_steps_per_second": 8.95,
"step": 2000
},
{
"epoch": 1.56,
"eval_accuracy_score": 0.991278729672527,
"eval_f1": 0.9291854277527629,
"eval_loss": 0.027085134759545326,
"eval_precision": 0.9205190592051906,
"eval_recall": 0.9380165289256198,
"eval_runtime": 24.1322,
"eval_samples_per_second": 71.316,
"eval_steps_per_second": 8.951,
"step": 2200
},
{
"epoch": 1.7,
"eval_accuracy_score": 0.9881624708847835,
"eval_f1": 0.9310910582444627,
"eval_loss": 0.04595605656504631,
"eval_precision": 0.9242671009771987,
"eval_recall": 0.9380165289256198,
"eval_runtime": 24.1249,
"eval_samples_per_second": 71.337,
"eval_steps_per_second": 8.953,
"step": 2400
},
{
"epoch": 1.77,
"learning_rate": 4.194630872483222e-05,
"loss": 0.0212,
"step": 2500
},
{
"epoch": 1.85,
"eval_accuracy_score": 0.9916509790157727,
"eval_f1": 0.9383054565396216,
"eval_loss": 0.02704950049519539,
"eval_precision": 0.9339519650655022,
"eval_recall": 0.9426997245179063,
"eval_runtime": 24.1289,
"eval_samples_per_second": 71.325,
"eval_steps_per_second": 8.952,
"step": 2600
},
{
"epoch": 1.99,
"eval_accuracy_score": 0.9914701721919105,
"eval_f1": 0.9384028345598255,
"eval_loss": 0.031768567860126495,
"eval_precision": 0.9285329018338727,
"eval_recall": 0.9484848484848485,
"eval_runtime": 24.1114,
"eval_samples_per_second": 71.377,
"eval_steps_per_second": 8.958,
"step": 2800
},
{
"epoch": 2.13,
"learning_rate": 4.026845637583892e-05,
"loss": 0.0183,
"step": 3000
},
{
"epoch": 2.13,
"eval_accuracy_score": 0.9919806855769333,
"eval_f1": 0.946596004891969,
"eval_loss": 0.033798202872276306,
"eval_precision": 0.9340305711987128,
"eval_recall": 0.959504132231405,
"eval_runtime": 24.1185,
"eval_samples_per_second": 71.356,
"eval_steps_per_second": 8.956,
"step": 3000
},
{
"epoch": 2.27,
"eval_accuracy_score": 0.9928740840007232,
"eval_f1": 0.9457025920873124,
"eval_loss": 0.02753218449652195,
"eval_precision": 0.9367567567567567,
"eval_recall": 0.9548209366391185,
"eval_runtime": 24.1012,
"eval_samples_per_second": 71.407,
"eval_steps_per_second": 8.962,
"step": 3200
},
{
"epoch": 2.41,
"eval_accuracy_score": 0.9928421769141593,
"eval_f1": 0.9465940054495913,
"eval_loss": 0.026147814467549324,
"eval_precision": 0.9363881401617251,
"eval_recall": 0.9570247933884297,
"eval_runtime": 24.1545,
"eval_samples_per_second": 71.25,
"eval_steps_per_second": 8.942,
"step": 3400
},
{
"epoch": 2.48,
"learning_rate": 3.859060402684564e-05,
"loss": 0.0128,
"step": 3500
},
{
"epoch": 2.56,
"eval_accuracy_score": 0.9918105144485924,
"eval_f1": 0.9442399454669393,
"eval_loss": 0.030992617830634117,
"eval_precision": 0.9346828609986505,
"eval_recall": 0.9539944903581267,
"eval_runtime": 24.1093,
"eval_samples_per_second": 71.383,
"eval_steps_per_second": 8.959,
"step": 3600
},
{
"epoch": 2.7,
"eval_accuracy_score": 0.9916828861023367,
"eval_f1": 0.9474550692824805,
"eval_loss": 0.03291752561926842,
"eval_precision": 0.9437004646078163,
"eval_recall": 0.9512396694214876,
"eval_runtime": 24.1311,
"eval_samples_per_second": 71.319,
"eval_steps_per_second": 8.951,
"step": 3800
},
{
"epoch": 2.84,
"learning_rate": 3.6912751677852356e-05,
"loss": 0.0134,
"step": 4000
},
{
"epoch": 2.84,
"eval_accuracy_score": 0.9919168714038055,
"eval_f1": 0.9425444596443229,
"eval_loss": 0.029299931600689888,
"eval_precision": 0.936141304347826,
"eval_recall": 0.9490358126721763,
"eval_runtime": 24.0874,
"eval_samples_per_second": 71.448,
"eval_steps_per_second": 8.967,
"step": 4000
},
{
"epoch": 2.98,
"eval_accuracy_score": 0.9920125926634973,
"eval_f1": 0.9384928716904277,
"eval_loss": 0.03006567806005478,
"eval_precision": 0.9253012048192771,
"eval_recall": 0.9520661157024793,
"eval_runtime": 24.1243,
"eval_samples_per_second": 71.339,
"eval_steps_per_second": 8.954,
"step": 4200
},
{
"epoch": 3.12,
"eval_accuracy_score": 0.9918530572306776,
"eval_f1": 0.943499725726824,
"eval_loss": 0.03543129563331604,
"eval_precision": 0.9393773894046968,
"eval_recall": 0.9476584022038568,
"eval_runtime": 24.0895,
"eval_samples_per_second": 71.442,
"eval_steps_per_second": 8.967,
"step": 4400
},
{
"epoch": 3.19,
"learning_rate": 3.523489932885906e-05,
"loss": 0.01,
"step": 4500
},
{
"epoch": 3.26,
"eval_accuracy_score": 0.9917147931889005,
"eval_f1": 0.9457131136332558,
"eval_loss": 0.03731205314397812,
"eval_precision": 0.9389084985066521,
"eval_recall": 0.9526170798898072,
"eval_runtime": 24.1136,
"eval_samples_per_second": 71.371,
"eval_steps_per_second": 8.958,
"step": 4600
},
{
"epoch": 3.41,
"eval_accuracy_score": 0.9919594141858907,
"eval_f1": 0.9425412856557936,
"eval_loss": 0.034975141286849976,
"eval_precision": 0.9340005409791723,
"eval_recall": 0.9512396694214876,
"eval_runtime": 24.1047,
"eval_samples_per_second": 71.397,
"eval_steps_per_second": 8.961,
"step": 4800
},
{
"epoch": 3.41,
"step": 4800,
"total_flos": 2.005670985822259e+16,
"train_loss": 0.03252722313006719,
"train_runtime": 5922.6834,
"train_samples_per_second": 81.044,
"train_steps_per_second": 2.533
}
],
"max_steps": 15000,
"num_train_epochs": 11,
"total_flos": 2.005670985822259e+16,
"trial_name": null,
"trial_params": null
}