yesj1234's picture
Upload folder using huggingface_hub
65506bc
{
"best_metric": 0.8995155096054077,
"best_model_checkpoint": "./mbartLarge_koja_37p/checkpoint-33000",
"epoch": 4.844107803417298,
"eval_steps": 5500,
"global_step": 55000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 1.6666666666666667e-05,
"loss": 3.5939,
"step": 500
},
{
"epoch": 0.09,
"learning_rate": 3.3333333333333335e-05,
"loss": 3.0254,
"step": 1000
},
{
"epoch": 0.13,
"learning_rate": 5e-05,
"loss": 1.9133,
"step": 1500
},
{
"epoch": 0.18,
"learning_rate": 4.9936851145520225e-05,
"loss": 1.672,
"step": 2000
},
{
"epoch": 0.22,
"learning_rate": 4.987370229104044e-05,
"loss": 1.56,
"step": 2500
},
{
"epoch": 0.26,
"learning_rate": 4.9810553436560664e-05,
"loss": 1.4874,
"step": 3000
},
{
"epoch": 0.31,
"learning_rate": 4.974740458208088e-05,
"loss": 1.4345,
"step": 3500
},
{
"epoch": 0.35,
"learning_rate": 4.96842557276011e-05,
"loss": 1.3676,
"step": 4000
},
{
"epoch": 0.4,
"learning_rate": 4.9621106873121326e-05,
"loss": 1.3183,
"step": 4500
},
{
"epoch": 0.44,
"learning_rate": 4.955795801864154e-05,
"loss": 1.2987,
"step": 5000
},
{
"epoch": 0.48,
"learning_rate": 4.9494809164161765e-05,
"loss": 1.2712,
"step": 5500
},
{
"epoch": 0.48,
"eval_bleu": 3.0858,
"eval_gen_len": 18.1085,
"eval_loss": 1.2203737497329712,
"eval_runtime": 1528.8304,
"eval_samples_per_second": 14.853,
"eval_steps_per_second": 0.929,
"step": 5500
},
{
"epoch": 0.53,
"learning_rate": 4.943166030968199e-05,
"loss": 1.2405,
"step": 6000
},
{
"epoch": 0.57,
"learning_rate": 4.9368511455202204e-05,
"loss": 1.2262,
"step": 6500
},
{
"epoch": 0.62,
"learning_rate": 4.930536260072243e-05,
"loss": 1.1959,
"step": 7000
},
{
"epoch": 0.66,
"learning_rate": 4.924221374624264e-05,
"loss": 1.182,
"step": 7500
},
{
"epoch": 0.7,
"learning_rate": 4.9179064891762866e-05,
"loss": 1.1683,
"step": 8000
},
{
"epoch": 0.75,
"learning_rate": 4.911591603728309e-05,
"loss": 1.1489,
"step": 8500
},
{
"epoch": 0.79,
"learning_rate": 4.9052767182803305e-05,
"loss": 1.1365,
"step": 9000
},
{
"epoch": 0.84,
"learning_rate": 4.898961832832353e-05,
"loss": 1.1313,
"step": 9500
},
{
"epoch": 0.88,
"learning_rate": 4.8926469473843744e-05,
"loss": 1.1172,
"step": 10000
},
{
"epoch": 0.92,
"learning_rate": 4.886332061936397e-05,
"loss": 1.1123,
"step": 10500
},
{
"epoch": 0.97,
"learning_rate": 4.880017176488419e-05,
"loss": 1.0946,
"step": 11000
},
{
"epoch": 0.97,
"eval_bleu": 3.3162,
"eval_gen_len": 17.8651,
"eval_loss": 1.0577712059020996,
"eval_runtime": 1538.4057,
"eval_samples_per_second": 14.76,
"eval_steps_per_second": 0.923,
"step": 11000
},
{
"epoch": 1.01,
"learning_rate": 4.8737022910404406e-05,
"loss": 1.0856,
"step": 11500
},
{
"epoch": 1.06,
"learning_rate": 4.867387405592463e-05,
"loss": 1.0716,
"step": 12000
},
{
"epoch": 1.1,
"learning_rate": 4.8610725201444845e-05,
"loss": 1.0736,
"step": 12500
},
{
"epoch": 1.14,
"learning_rate": 4.854757634696507e-05,
"loss": 1.0367,
"step": 13000
},
{
"epoch": 1.19,
"learning_rate": 4.848442749248529e-05,
"loss": 1.0204,
"step": 13500
},
{
"epoch": 1.23,
"learning_rate": 4.842127863800551e-05,
"loss": 1.0533,
"step": 14000
},
{
"epoch": 1.28,
"learning_rate": 4.835812978352573e-05,
"loss": 1.0426,
"step": 14500
},
{
"epoch": 1.32,
"learning_rate": 4.829498092904595e-05,
"loss": 1.0261,
"step": 15000
},
{
"epoch": 1.37,
"learning_rate": 4.823183207456617e-05,
"loss": 1.0111,
"step": 15500
},
{
"epoch": 1.41,
"learning_rate": 4.816868322008639e-05,
"loss": 0.9862,
"step": 16000
},
{
"epoch": 1.45,
"learning_rate": 4.810553436560661e-05,
"loss": 0.9546,
"step": 16500
},
{
"epoch": 1.45,
"eval_bleu": 5.6024,
"eval_gen_len": 17.902,
"eval_loss": 0.9687988758087158,
"eval_runtime": 1530.7999,
"eval_samples_per_second": 14.833,
"eval_steps_per_second": 0.928,
"step": 16500
},
{
"epoch": 1.5,
"learning_rate": 4.804238551112683e-05,
"loss": 0.9642,
"step": 17000
},
{
"epoch": 1.54,
"learning_rate": 4.7979236656647054e-05,
"loss": 0.9364,
"step": 17500
},
{
"epoch": 1.59,
"learning_rate": 4.791608780216727e-05,
"loss": 0.931,
"step": 18000
},
{
"epoch": 1.63,
"learning_rate": 4.785293894768749e-05,
"loss": 0.915,
"step": 18500
},
{
"epoch": 1.67,
"learning_rate": 4.778979009320771e-05,
"loss": 0.9043,
"step": 19000
},
{
"epoch": 1.72,
"learning_rate": 4.772664123872793e-05,
"loss": 0.9158,
"step": 19500
},
{
"epoch": 1.76,
"learning_rate": 4.7663492384248155e-05,
"loss": 0.9068,
"step": 20000
},
{
"epoch": 1.81,
"learning_rate": 4.760034352976837e-05,
"loss": 0.9314,
"step": 20500
},
{
"epoch": 1.85,
"learning_rate": 4.7537194675288594e-05,
"loss": 0.9112,
"step": 21000
},
{
"epoch": 1.89,
"learning_rate": 4.747404582080881e-05,
"loss": 0.8862,
"step": 21500
},
{
"epoch": 1.94,
"learning_rate": 4.741089696632903e-05,
"loss": 0.89,
"step": 22000
},
{
"epoch": 1.94,
"eval_bleu": 5.1453,
"eval_gen_len": 17.6144,
"eval_loss": 0.941440761089325,
"eval_runtime": 1490.4507,
"eval_samples_per_second": 15.235,
"eval_steps_per_second": 0.953,
"step": 22000
},
{
"epoch": 1.98,
"learning_rate": 4.7347748111849256e-05,
"loss": 0.8726,
"step": 22500
},
{
"epoch": 2.03,
"learning_rate": 4.728459925736947e-05,
"loss": 0.8749,
"step": 23000
},
{
"epoch": 2.07,
"learning_rate": 4.7221450402889695e-05,
"loss": 0.858,
"step": 23500
},
{
"epoch": 2.11,
"learning_rate": 4.715830154840992e-05,
"loss": 0.8479,
"step": 24000
},
{
"epoch": 2.16,
"learning_rate": 4.7095152693930134e-05,
"loss": 0.8394,
"step": 24500
},
{
"epoch": 2.2,
"learning_rate": 4.703200383945036e-05,
"loss": 0.8472,
"step": 25000
},
{
"epoch": 2.25,
"learning_rate": 4.696885498497057e-05,
"loss": 0.7793,
"step": 25500
},
{
"epoch": 2.29,
"learning_rate": 4.6905706130490796e-05,
"loss": 0.7753,
"step": 26000
},
{
"epoch": 2.33,
"learning_rate": 4.684255727601102e-05,
"loss": 0.7655,
"step": 26500
},
{
"epoch": 2.38,
"learning_rate": 4.6779408421531235e-05,
"loss": 0.7666,
"step": 27000
},
{
"epoch": 2.42,
"learning_rate": 4.671625956705146e-05,
"loss": 0.834,
"step": 27500
},
{
"epoch": 2.42,
"eval_bleu": 5.3985,
"eval_gen_len": 17.6899,
"eval_loss": 0.9212985038757324,
"eval_runtime": 1489.7985,
"eval_samples_per_second": 15.242,
"eval_steps_per_second": 0.953,
"step": 27500
},
{
"epoch": 2.47,
"learning_rate": 4.6653110712571674e-05,
"loss": 0.8098,
"step": 28000
},
{
"epoch": 2.51,
"learning_rate": 4.65899618580919e-05,
"loss": 0.8153,
"step": 28500
},
{
"epoch": 2.55,
"learning_rate": 4.652681300361212e-05,
"loss": 0.7837,
"step": 29000
},
{
"epoch": 2.6,
"learning_rate": 4.6463664149132336e-05,
"loss": 0.8255,
"step": 29500
},
{
"epoch": 2.64,
"learning_rate": 4.640051529465256e-05,
"loss": 0.8345,
"step": 30000
},
{
"epoch": 2.69,
"learning_rate": 4.6337366440172775e-05,
"loss": 0.8061,
"step": 30500
},
{
"epoch": 2.73,
"learning_rate": 4.6274217585693e-05,
"loss": 0.7743,
"step": 31000
},
{
"epoch": 2.77,
"learning_rate": 4.621106873121322e-05,
"loss": 0.7759,
"step": 31500
},
{
"epoch": 2.82,
"learning_rate": 4.614791987673344e-05,
"loss": 0.7777,
"step": 32000
},
{
"epoch": 2.86,
"learning_rate": 4.608477102225366e-05,
"loss": 0.7537,
"step": 32500
},
{
"epoch": 2.91,
"learning_rate": 4.602162216777388e-05,
"loss": 0.7439,
"step": 33000
},
{
"epoch": 2.91,
"eval_bleu": 6.2934,
"eval_gen_len": 17.4862,
"eval_loss": 0.8995155096054077,
"eval_runtime": 1459.4956,
"eval_samples_per_second": 15.558,
"eval_steps_per_second": 0.973,
"step": 33000
},
{
"epoch": 2.95,
"learning_rate": 4.59584733132941e-05,
"loss": 0.7424,
"step": 33500
},
{
"epoch": 2.99,
"learning_rate": 4.589532445881432e-05,
"loss": 0.7416,
"step": 34000
},
{
"epoch": 3.04,
"learning_rate": 4.583217560433454e-05,
"loss": 0.7722,
"step": 34500
},
{
"epoch": 3.08,
"learning_rate": 4.576902674985476e-05,
"loss": 0.7967,
"step": 35000
},
{
"epoch": 3.13,
"learning_rate": 4.5705877895374984e-05,
"loss": 0.7323,
"step": 35500
},
{
"epoch": 3.17,
"learning_rate": 4.56427290408952e-05,
"loss": 0.7171,
"step": 36000
},
{
"epoch": 3.21,
"learning_rate": 4.557958018641542e-05,
"loss": 0.7044,
"step": 36500
},
{
"epoch": 3.26,
"learning_rate": 4.551643133193564e-05,
"loss": 0.6828,
"step": 37000
},
{
"epoch": 3.3,
"learning_rate": 4.545328247745586e-05,
"loss": 0.7149,
"step": 37500
},
{
"epoch": 3.35,
"learning_rate": 4.5390133622976085e-05,
"loss": 0.6622,
"step": 38000
},
{
"epoch": 3.39,
"learning_rate": 4.53269847684963e-05,
"loss": 0.6803,
"step": 38500
},
{
"epoch": 3.39,
"eval_bleu": 6.3565,
"eval_gen_len": 17.8899,
"eval_loss": 0.9016386270523071,
"eval_runtime": 1493.3684,
"eval_samples_per_second": 15.205,
"eval_steps_per_second": 0.951,
"step": 38500
},
{
"epoch": 3.43,
"learning_rate": 4.5263835914016524e-05,
"loss": 0.7079,
"step": 39000
},
{
"epoch": 3.48,
"learning_rate": 4.520068705953675e-05,
"loss": 0.6978,
"step": 39500
},
{
"epoch": 3.52,
"learning_rate": 4.513753820505696e-05,
"loss": 0.7528,
"step": 40000
},
{
"epoch": 3.57,
"learning_rate": 4.5074389350577186e-05,
"loss": 0.7558,
"step": 40500
},
{
"epoch": 3.61,
"learning_rate": 4.50112404960974e-05,
"loss": 0.7742,
"step": 41000
},
{
"epoch": 3.66,
"learning_rate": 4.4948091641617625e-05,
"loss": 0.7505,
"step": 41500
},
{
"epoch": 3.7,
"learning_rate": 4.488494278713785e-05,
"loss": 0.7185,
"step": 42000
},
{
"epoch": 3.74,
"learning_rate": 4.4821793932658064e-05,
"loss": 0.7024,
"step": 42500
},
{
"epoch": 3.79,
"learning_rate": 4.475864507817829e-05,
"loss": 0.7262,
"step": 43000
},
{
"epoch": 3.83,
"learning_rate": 4.46954962236985e-05,
"loss": 0.7394,
"step": 43500
},
{
"epoch": 3.88,
"learning_rate": 4.4632347369218726e-05,
"loss": 0.733,
"step": 44000
},
{
"epoch": 3.88,
"eval_bleu": 7.0351,
"eval_gen_len": 17.6112,
"eval_loss": 0.9225591421127319,
"eval_runtime": 1483.9686,
"eval_samples_per_second": 15.302,
"eval_steps_per_second": 0.957,
"step": 44000
},
{
"epoch": 3.92,
"learning_rate": 4.456919851473895e-05,
"loss": 0.742,
"step": 44500
},
{
"epoch": 3.96,
"learning_rate": 4.4506049660259165e-05,
"loss": 0.735,
"step": 45000
},
{
"epoch": 4.01,
"learning_rate": 4.444290080577939e-05,
"loss": 0.6992,
"step": 45500
},
{
"epoch": 4.05,
"learning_rate": 4.4379751951299604e-05,
"loss": 0.7007,
"step": 46000
},
{
"epoch": 4.1,
"learning_rate": 4.431660309681983e-05,
"loss": 0.6979,
"step": 46500
},
{
"epoch": 4.14,
"learning_rate": 4.425345424234005e-05,
"loss": 0.6515,
"step": 47000
},
{
"epoch": 4.18,
"learning_rate": 4.4190305387860266e-05,
"loss": 0.6919,
"step": 47500
},
{
"epoch": 4.23,
"learning_rate": 4.412715653338049e-05,
"loss": 0.6241,
"step": 48000
},
{
"epoch": 4.27,
"learning_rate": 4.406400767890071e-05,
"loss": 0.6196,
"step": 48500
},
{
"epoch": 4.32,
"learning_rate": 4.400085882442093e-05,
"loss": 0.6557,
"step": 49000
},
{
"epoch": 4.36,
"learning_rate": 4.393770996994115e-05,
"loss": 0.6601,
"step": 49500
},
{
"epoch": 4.36,
"eval_bleu": 5.3084,
"eval_gen_len": 17.4292,
"eval_loss": 0.9806875586509705,
"eval_runtime": 1461.811,
"eval_samples_per_second": 15.533,
"eval_steps_per_second": 0.971,
"step": 49500
},
{
"epoch": 4.4,
"learning_rate": 4.387456111546137e-05,
"loss": 0.7354,
"step": 50000
},
{
"epoch": 4.45,
"learning_rate": 4.381141226098159e-05,
"loss": 0.7452,
"step": 50500
},
{
"epoch": 4.49,
"learning_rate": 4.374826340650181e-05,
"loss": 0.7175,
"step": 51000
},
{
"epoch": 4.54,
"learning_rate": 4.368511455202203e-05,
"loss": 0.7101,
"step": 51500
},
{
"epoch": 4.58,
"learning_rate": 4.362196569754225e-05,
"loss": 0.7068,
"step": 52000
},
{
"epoch": 4.62,
"learning_rate": 4.355881684306247e-05,
"loss": 0.6404,
"step": 52500
},
{
"epoch": 4.67,
"learning_rate": 4.349566798858269e-05,
"loss": 0.6316,
"step": 53000
},
{
"epoch": 4.71,
"learning_rate": 4.3432519134102913e-05,
"loss": 0.598,
"step": 53500
},
{
"epoch": 4.76,
"learning_rate": 4.336937027962313e-05,
"loss": 0.6091,
"step": 54000
},
{
"epoch": 4.8,
"learning_rate": 4.330622142514335e-05,
"loss": 0.695,
"step": 54500
},
{
"epoch": 4.84,
"learning_rate": 4.324307257066357e-05,
"loss": 0.6933,
"step": 55000
},
{
"epoch": 4.84,
"eval_bleu": 6.8389,
"eval_gen_len": 17.5131,
"eval_loss": 0.923828661441803,
"eval_runtime": 1455.6892,
"eval_samples_per_second": 15.599,
"eval_steps_per_second": 0.975,
"step": 55000
}
],
"logging_steps": 500,
"max_steps": 397390,
"num_train_epochs": 35,
"save_steps": 5500,
"total_flos": 1.907212892088828e+18,
"trial_name": null,
"trial_params": null
}