Md Mushfiqur Rahman
Upload with huggingface_hub
4f97404
{
"best_metric": 0.7776904948939514,
"best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/bert/bert-base-finetuned-masakhaner-kin/checkpoint-6000",
"epoch": 104.4776119402985,
"global_step": 7000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.99,
"eval_accuracy_score": 0.9532111458798986,
"eval_f1": 0.7152000000000002,
"eval_loss": 0.1510487049818039,
"eval_precision": 0.7072784810126582,
"eval_recall": 0.7233009708737864,
"eval_runtime": 4.2168,
"eval_samples_per_second": 71.618,
"eval_steps_per_second": 9.011,
"step": 200
},
{
"epoch": 5.97,
"eval_accuracy_score": 0.9599165549098495,
"eval_f1": 0.7722308892355694,
"eval_loss": 0.14730291068553925,
"eval_precision": 0.7454819277108434,
"eval_recall": 0.8009708737864077,
"eval_runtime": 4.2242,
"eval_samples_per_second": 71.493,
"eval_steps_per_second": 8.996,
"step": 400
},
{
"epoch": 7.46,
"learning_rate": 4.865771812080537e-05,
"loss": 0.1459,
"step": 500
},
{
"epoch": 8.96,
"eval_accuracy_score": 0.9578304276560871,
"eval_f1": 0.7629513343799057,
"eval_loss": 0.20204676687717438,
"eval_precision": 0.7408536585365854,
"eval_recall": 0.7864077669902912,
"eval_runtime": 4.2219,
"eval_samples_per_second": 71.532,
"eval_steps_per_second": 9.001,
"step": 600
},
{
"epoch": 11.94,
"eval_accuracy_score": 0.950081954999255,
"eval_f1": 0.730829420970266,
"eval_loss": 0.2434845268726349,
"eval_precision": 0.7075757575757575,
"eval_recall": 0.7556634304207119,
"eval_runtime": 4.2229,
"eval_samples_per_second": 71.516,
"eval_steps_per_second": 8.999,
"step": 800
},
{
"epoch": 14.93,
"learning_rate": 4.697986577181208e-05,
"loss": 0.0052,
"step": 1000
},
{
"epoch": 14.93,
"eval_accuracy_score": 0.955893309491879,
"eval_f1": 0.7670136108887109,
"eval_loss": 0.25165775418281555,
"eval_precision": 0.7591125198098256,
"eval_recall": 0.7750809061488673,
"eval_runtime": 4.2133,
"eval_samples_per_second": 71.679,
"eval_steps_per_second": 9.019,
"step": 1000
},
{
"epoch": 17.91,
"eval_accuracy_score": 0.9544032185963344,
"eval_f1": 0.7628865979381443,
"eval_loss": 0.2373453825712204,
"eval_precision": 0.7480559875583204,
"eval_recall": 0.7783171521035599,
"eval_runtime": 4.2221,
"eval_samples_per_second": 71.528,
"eval_steps_per_second": 9.0,
"step": 1200
},
{
"epoch": 20.9,
"eval_accuracy_score": 0.9527641186112353,
"eval_f1": 0.7570532915360502,
"eval_loss": 0.2740270793437958,
"eval_precision": 0.7340425531914894,
"eval_recall": 0.7815533980582524,
"eval_runtime": 4.2179,
"eval_samples_per_second": 71.599,
"eval_steps_per_second": 9.009,
"step": 1400
},
{
"epoch": 22.39,
"learning_rate": 4.530201342281879e-05,
"loss": 0.0028,
"step": 1500
},
{
"epoch": 23.88,
"eval_accuracy_score": 0.9506779913574728,
"eval_f1": 0.7511520737327189,
"eval_loss": 0.29271605610847473,
"eval_precision": 0.7149122807017544,
"eval_recall": 0.7912621359223301,
"eval_runtime": 4.2167,
"eval_samples_per_second": 71.619,
"eval_steps_per_second": 9.012,
"step": 1600
},
{
"epoch": 26.87,
"eval_accuracy_score": 0.953956191327671,
"eval_f1": 0.7715654952076678,
"eval_loss": 0.27202117443084717,
"eval_precision": 0.7618296529968455,
"eval_recall": 0.7815533980582524,
"eval_runtime": 4.2162,
"eval_samples_per_second": 71.629,
"eval_steps_per_second": 9.013,
"step": 1800
},
{
"epoch": 29.85,
"learning_rate": 4.36241610738255e-05,
"loss": 0.0031,
"step": 2000
},
{
"epoch": 29.85,
"eval_accuracy_score": 0.9545522276858889,
"eval_f1": 0.769352290679305,
"eval_loss": 0.3008579909801483,
"eval_precision": 0.7515432098765432,
"eval_recall": 0.7880258899676376,
"eval_runtime": 4.2137,
"eval_samples_per_second": 71.671,
"eval_steps_per_second": 9.018,
"step": 2000
},
{
"epoch": 32.84,
"eval_accuracy_score": 0.9544032185963344,
"eval_f1": 0.7775100401606425,
"eval_loss": 0.3004043698310852,
"eval_precision": 0.7719298245614035,
"eval_recall": 0.7831715210355987,
"eval_runtime": 4.2226,
"eval_samples_per_second": 71.52,
"eval_steps_per_second": 8.999,
"step": 2200
},
{
"epoch": 35.82,
"eval_accuracy_score": 0.9523170913425719,
"eval_f1": 0.7588932806324111,
"eval_loss": 0.3016415238380432,
"eval_precision": 0.7418856259659969,
"eval_recall": 0.7766990291262136,
"eval_runtime": 4.2238,
"eval_samples_per_second": 71.5,
"eval_steps_per_second": 8.997,
"step": 2400
},
{
"epoch": 37.31,
"learning_rate": 4.194630872483222e-05,
"loss": 0.0022,
"step": 2500
},
{
"epoch": 38.81,
"eval_accuracy_score": 0.9551482640441067,
"eval_f1": 0.7769897557131599,
"eval_loss": 0.2800486385822296,
"eval_precision": 0.7572964669738863,
"eval_recall": 0.7977346278317152,
"eval_runtime": 4.2149,
"eval_samples_per_second": 71.651,
"eval_steps_per_second": 9.016,
"step": 2600
},
{
"epoch": 41.79,
"eval_accuracy_score": 0.9502309640888095,
"eval_f1": 0.7396403440187647,
"eval_loss": 0.29597747325897217,
"eval_precision": 0.7155824508320726,
"eval_recall": 0.7653721682847896,
"eval_runtime": 4.2274,
"eval_samples_per_second": 71.439,
"eval_steps_per_second": 8.989,
"step": 2800
},
{
"epoch": 44.78,
"learning_rate": 4.026845637583892e-05,
"loss": 0.0021,
"step": 3000
},
{
"epoch": 44.78,
"eval_accuracy_score": 0.953658173148562,
"eval_f1": 0.769108280254777,
"eval_loss": 0.3028393089771271,
"eval_precision": 0.7570532915360502,
"eval_recall": 0.7815533980582524,
"eval_runtime": 4.2104,
"eval_samples_per_second": 71.727,
"eval_steps_per_second": 9.025,
"step": 3000
},
{
"epoch": 47.76,
"eval_accuracy_score": 0.9566383549396513,
"eval_f1": 0.7822706065318817,
"eval_loss": 0.2665591835975647,
"eval_precision": 0.7529940119760479,
"eval_recall": 0.813915857605178,
"eval_runtime": 4.2247,
"eval_samples_per_second": 71.485,
"eval_steps_per_second": 8.995,
"step": 3200
},
{
"epoch": 50.75,
"eval_accuracy_score": 0.9566383549396513,
"eval_f1": 0.7772435897435898,
"eval_loss": 0.26991933584213257,
"eval_precision": 0.7698412698412699,
"eval_recall": 0.7847896440129449,
"eval_runtime": 4.2153,
"eval_samples_per_second": 71.643,
"eval_steps_per_second": 9.015,
"step": 3400
},
{
"epoch": 52.24,
"learning_rate": 3.859060402684564e-05,
"loss": 0.0022,
"step": 3500
},
{
"epoch": 53.73,
"eval_accuracy_score": 0.9572343912978691,
"eval_f1": 0.7881694644284571,
"eval_loss": 0.2740214169025421,
"eval_precision": 0.7788309636650869,
"eval_recall": 0.7977346278317152,
"eval_runtime": 4.2125,
"eval_samples_per_second": 71.691,
"eval_steps_per_second": 9.021,
"step": 3600
},
{
"epoch": 56.72,
"eval_accuracy_score": 0.9563403367605424,
"eval_f1": 0.7778643803585348,
"eval_loss": 0.2816332280635834,
"eval_precision": 0.750375939849624,
"eval_recall": 0.8074433656957929,
"eval_runtime": 4.2121,
"eval_samples_per_second": 71.699,
"eval_steps_per_second": 9.022,
"step": 3800
},
{
"epoch": 59.7,
"learning_rate": 3.6912751677852356e-05,
"loss": 0.0014,
"step": 4000
},
{
"epoch": 59.7,
"eval_accuracy_score": 0.9518700640739085,
"eval_f1": 0.7486122125297383,
"eval_loss": 0.3085213601589203,
"eval_precision": 0.7340590979782271,
"eval_recall": 0.7637540453074434,
"eval_runtime": 4.2023,
"eval_samples_per_second": 71.866,
"eval_steps_per_second": 9.043,
"step": 4000
},
{
"epoch": 62.69,
"eval_accuracy_score": 0.9554462822232156,
"eval_f1": 0.7712,
"eval_loss": 0.27103257179260254,
"eval_precision": 0.7626582278481012,
"eval_recall": 0.7799352750809061,
"eval_runtime": 4.2088,
"eval_samples_per_second": 71.755,
"eval_steps_per_second": 9.029,
"step": 4200
},
{
"epoch": 65.67,
"eval_accuracy_score": 0.9573834003874236,
"eval_f1": 0.7856573705179283,
"eval_loss": 0.2769891619682312,
"eval_precision": 0.7739403453689168,
"eval_recall": 0.7977346278317152,
"eval_runtime": 4.2117,
"eval_samples_per_second": 71.705,
"eval_steps_per_second": 9.022,
"step": 4400
},
{
"epoch": 67.16,
"learning_rate": 3.523489932885906e-05,
"loss": 0.0017,
"step": 4500
},
{
"epoch": 68.66,
"eval_accuracy_score": 0.952019073163463,
"eval_f1": 0.765079365079365,
"eval_loss": 0.3148031532764435,
"eval_precision": 0.7507788161993769,
"eval_recall": 0.7799352750809061,
"eval_runtime": 4.2067,
"eval_samples_per_second": 71.79,
"eval_steps_per_second": 9.033,
"step": 4600
},
{
"epoch": 71.64,
"eval_accuracy_score": 0.955893309491879,
"eval_f1": 0.7903351519875291,
"eval_loss": 0.3128798007965088,
"eval_precision": 0.762406015037594,
"eval_recall": 0.8203883495145631,
"eval_runtime": 4.203,
"eval_samples_per_second": 71.854,
"eval_steps_per_second": 9.041,
"step": 4800
},
{
"epoch": 74.63,
"learning_rate": 3.3557046979865775e-05,
"loss": 0.0011,
"step": 5000
},
{
"epoch": 74.63,
"eval_accuracy_score": 0.9549992549545522,
"eval_f1": 0.7678855325914149,
"eval_loss": 0.3046160936355591,
"eval_precision": 0.7546875,
"eval_recall": 0.7815533980582524,
"eval_runtime": 4.2139,
"eval_samples_per_second": 71.668,
"eval_steps_per_second": 9.018,
"step": 5000
},
{
"epoch": 77.61,
"eval_accuracy_score": 0.9526151095216808,
"eval_f1": 0.749407114624506,
"eval_loss": 0.3481159210205078,
"eval_precision": 0.732612055641422,
"eval_recall": 0.7669902912621359,
"eval_runtime": 4.2066,
"eval_samples_per_second": 71.791,
"eval_steps_per_second": 9.033,
"step": 5200
},
{
"epoch": 80.6,
"eval_accuracy_score": 0.9479958277454925,
"eval_f1": 0.7124999999999999,
"eval_loss": 0.3350728154182434,
"eval_precision": 0.6888217522658611,
"eval_recall": 0.7378640776699029,
"eval_runtime": 4.207,
"eval_samples_per_second": 71.785,
"eval_steps_per_second": 9.033,
"step": 5400
},
{
"epoch": 82.09,
"learning_rate": 3.1879194630872485e-05,
"loss": 0.0012,
"step": 5500
},
{
"epoch": 83.58,
"eval_accuracy_score": 0.9545522276858889,
"eval_f1": 0.7642799678197908,
"eval_loss": 0.32919129729270935,
"eval_precision": 0.76,
"eval_recall": 0.7686084142394822,
"eval_runtime": 4.2057,
"eval_samples_per_second": 71.807,
"eval_steps_per_second": 9.035,
"step": 5600
},
{
"epoch": 86.57,
"eval_accuracy_score": 0.9547012367754433,
"eval_f1": 0.779552715654952,
"eval_loss": 0.3345593214035034,
"eval_precision": 0.7697160883280757,
"eval_recall": 0.7896440129449838,
"eval_runtime": 4.208,
"eval_samples_per_second": 71.767,
"eval_steps_per_second": 9.03,
"step": 5800
},
{
"epoch": 89.55,
"learning_rate": 3.02013422818792e-05,
"loss": 0.0008,
"step": 6000
},
{
"epoch": 89.55,
"eval_accuracy_score": 0.9542542095067799,
"eval_f1": 0.7776904948939514,
"eval_loss": 0.3138931095600128,
"eval_precision": 0.7557251908396947,
"eval_recall": 0.8009708737864077,
"eval_runtime": 4.2007,
"eval_samples_per_second": 71.892,
"eval_steps_per_second": 9.046,
"step": 6000
},
{
"epoch": 92.54,
"eval_accuracy_score": 0.9493369095514826,
"eval_f1": 0.7448818897637796,
"eval_loss": 0.30180272459983826,
"eval_precision": 0.7254601226993865,
"eval_recall": 0.7653721682847896,
"eval_runtime": 4.2104,
"eval_samples_per_second": 71.727,
"eval_steps_per_second": 9.025,
"step": 6200
},
{
"epoch": 95.52,
"eval_accuracy_score": 0.9499329459097005,
"eval_f1": 0.7467482785003826,
"eval_loss": 0.298985093832016,
"eval_precision": 0.7082728592162555,
"eval_recall": 0.7896440129449838,
"eval_runtime": 4.2098,
"eval_samples_per_second": 71.738,
"eval_steps_per_second": 9.027,
"step": 6400
},
{
"epoch": 97.01,
"learning_rate": 2.8523489932885905e-05,
"loss": 0.0013,
"step": 6500
},
{
"epoch": 98.51,
"eval_accuracy_score": 0.9485918641037103,
"eval_f1": 0.7388932190179269,
"eval_loss": 0.35180896520614624,
"eval_precision": 0.7127819548872181,
"eval_recall": 0.7669902912621359,
"eval_runtime": 4.206,
"eval_samples_per_second": 71.802,
"eval_steps_per_second": 9.035,
"step": 6600
},
{
"epoch": 101.49,
"eval_accuracy_score": 0.9490388913723737,
"eval_f1": 0.7475409836065574,
"eval_loss": 0.3536173403263092,
"eval_precision": 0.7574750830564784,
"eval_recall": 0.7378640776699029,
"eval_runtime": 4.2125,
"eval_samples_per_second": 71.692,
"eval_steps_per_second": 9.021,
"step": 6800
},
{
"epoch": 104.48,
"learning_rate": 2.6845637583892618e-05,
"loss": 0.0008,
"step": 7000
},
{
"epoch": 104.48,
"eval_accuracy_score": 0.9476978095663835,
"eval_f1": 0.7232704402515724,
"eval_loss": 0.3082831799983978,
"eval_precision": 0.7033639143730887,
"eval_recall": 0.7443365695792881,
"eval_runtime": 4.205,
"eval_samples_per_second": 71.819,
"eval_steps_per_second": 9.037,
"step": 7000
},
{
"epoch": 104.48,
"step": 7000,
"total_flos": 2.888661669588173e+16,
"train_loss": 0.01226256138086319,
"train_runtime": 7779.0968,
"train_samples_per_second": 61.704,
"train_steps_per_second": 1.928
}
],
"max_steps": 15000,
"num_train_epochs": 224,
"total_flos": 2.888661669588173e+16,
"trial_name": null,
"trial_params": null
}