tyzhu's picture
Training in progress, epoch 46, checkpoint
7d345f1 verified
raw
history blame
34.5 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 46.99733333333333,
"eval_steps": 500,
"global_step": 8812,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.53,
"learning_rate": 5e-05,
"loss": 1.3988,
"step": 100
},
{
"epoch": 1.0,
"eval_accuracy": 0.6660784313725491,
"eval_loss": 1.2107256650924683,
"eval_runtime": 7.728,
"eval_samples_per_second": 64.7,
"eval_steps_per_second": 8.152,
"step": 187
},
{
"epoch": 1.0,
"eval_exact_match": 19.4,
"eval_f1": 27.911959489312448,
"eval_qa_bleu": 2.842200543476061,
"eval_qa_exact_match": 0.152,
"eval_recite_bleu": 12.149078895446083,
"eval_recite_exact_match": 0.0,
"step": 187
},
{
"epoch": 1.07,
"learning_rate": 5e-05,
"loss": 1.238,
"step": 200
},
{
"epoch": 1.6,
"learning_rate": 5e-05,
"loss": 1.1977,
"step": 300
},
{
"epoch": 2.0,
"eval_accuracy": 0.6676078431372549,
"eval_loss": 1.1987448930740356,
"eval_runtime": 7.4628,
"eval_samples_per_second": 66.999,
"eval_steps_per_second": 8.442,
"step": 375
},
{
"epoch": 2.0,
"eval_exact_match": 21.4,
"eval_f1": 27.979969946667268,
"eval_qa_bleu": 3.4273838915653356,
"eval_qa_exact_match": 0.158,
"eval_recite_bleu": 11.474877690710539,
"eval_recite_exact_match": 0.0,
"step": 375
},
{
"epoch": 2.13,
"learning_rate": 5e-05,
"loss": 1.1628,
"step": 400
},
{
"epoch": 2.67,
"learning_rate": 5e-05,
"loss": 1.1458,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.6675764705882353,
"eval_loss": 1.1964411735534668,
"eval_runtime": 6.6677,
"eval_samples_per_second": 74.988,
"eval_steps_per_second": 9.448,
"step": 562
},
{
"epoch": 3.0,
"eval_exact_match": 23.4,
"eval_f1": 31.525761083856903,
"eval_qa_bleu": 2.0606924929592334,
"eval_qa_exact_match": 0.17,
"eval_recite_bleu": 12.027903845545522,
"eval_recite_exact_match": 0.0,
"step": 562
},
{
"epoch": 3.2,
"learning_rate": 5e-05,
"loss": 1.1179,
"step": 600
},
{
"epoch": 3.73,
"learning_rate": 5e-05,
"loss": 1.0707,
"step": 700
},
{
"epoch": 4.0,
"eval_accuracy": 0.6665960784313726,
"eval_loss": 1.208784580230713,
"eval_runtime": 6.6546,
"eval_samples_per_second": 75.136,
"eval_steps_per_second": 9.467,
"step": 750
},
{
"epoch": 4.0,
"eval_exact_match": 23.4,
"eval_f1": 33.18893657873498,
"eval_qa_bleu": 3.8183981024520506,
"eval_qa_exact_match": 0.176,
"eval_recite_bleu": 14.071857337313705,
"eval_recite_exact_match": 0.0,
"step": 750
},
{
"epoch": 4.27,
"learning_rate": 5e-05,
"loss": 1.0179,
"step": 800
},
{
"epoch": 4.8,
"learning_rate": 5e-05,
"loss": 1.0066,
"step": 900
},
{
"epoch": 5.0,
"eval_accuracy": 0.6651764705882353,
"eval_loss": 1.2342489957809448,
"eval_runtime": 6.699,
"eval_samples_per_second": 74.638,
"eval_steps_per_second": 9.404,
"step": 937
},
{
"epoch": 5.0,
"eval_exact_match": 24.0,
"eval_f1": 32.88692081962977,
"eval_qa_bleu": 3.6747877275980905,
"eval_qa_exact_match": 0.174,
"eval_recite_bleu": 14.36158051041567,
"eval_recite_exact_match": 0.006,
"step": 937
},
{
"epoch": 5.33,
"learning_rate": 5e-05,
"loss": 0.9595,
"step": 1000
},
{
"epoch": 5.87,
"learning_rate": 5e-05,
"loss": 0.9353,
"step": 1100
},
{
"epoch": 6.0,
"eval_accuracy": 0.6628392156862745,
"eval_loss": 1.2645816802978516,
"eval_runtime": 7.4539,
"eval_samples_per_second": 67.079,
"eval_steps_per_second": 8.452,
"step": 1125
},
{
"epoch": 6.0,
"eval_exact_match": 23.4,
"eval_f1": 33.50380952380953,
"eval_qa_bleu": 13.968612067397348,
"eval_qa_exact_match": 0.168,
"eval_recite_bleu": 15.026821124315997,
"eval_recite_exact_match": 0.012,
"step": 1125
},
{
"epoch": 6.4,
"learning_rate": 5e-05,
"loss": 0.8774,
"step": 1200
},
{
"epoch": 6.93,
"learning_rate": 5e-05,
"loss": 0.8629,
"step": 1300
},
{
"epoch": 7.0,
"eval_accuracy": 0.6617333333333333,
"eval_loss": 1.2990769147872925,
"eval_runtime": 6.6963,
"eval_samples_per_second": 74.668,
"eval_steps_per_second": 9.408,
"step": 1312
},
{
"epoch": 7.0,
"eval_exact_match": 22.0,
"eval_f1": 31.8904761904762,
"eval_qa_bleu": 15.632357578213835,
"eval_qa_exact_match": 0.166,
"eval_recite_bleu": 14.318212267740977,
"eval_recite_exact_match": 0.016,
"step": 1312
},
{
"epoch": 7.47,
"learning_rate": 5e-05,
"loss": 0.8,
"step": 1400
},
{
"epoch": 8.0,
"learning_rate": 5e-05,
"loss": 0.7933,
"step": 1500
},
{
"epoch": 8.0,
"eval_accuracy": 0.659607843137255,
"eval_loss": 1.3466852903366089,
"eval_runtime": 6.6563,
"eval_samples_per_second": 75.117,
"eval_steps_per_second": 9.465,
"step": 1500
},
{
"epoch": 8.0,
"eval_exact_match": 22.6,
"eval_f1": 31.16493506493508,
"eval_qa_bleu": 21.45561748665761,
"eval_qa_exact_match": 0.17,
"eval_recite_bleu": 14.23612921374107,
"eval_recite_exact_match": 0.012,
"step": 1500
},
{
"epoch": 8.53,
"learning_rate": 5e-05,
"loss": 0.7185,
"step": 1600
},
{
"epoch": 9.0,
"eval_accuracy": 0.6574980392156863,
"eval_loss": 1.391683578491211,
"eval_runtime": 7.7056,
"eval_samples_per_second": 64.888,
"eval_steps_per_second": 8.176,
"step": 1687
},
{
"epoch": 9.0,
"eval_exact_match": 21.8,
"eval_f1": 31.150317460317464,
"eval_qa_bleu": 18.411626756160196,
"eval_qa_exact_match": 0.17,
"eval_recite_bleu": 15.144735177405446,
"eval_recite_exact_match": 0.014,
"step": 1687
},
{
"epoch": 9.07,
"learning_rate": 5e-05,
"loss": 0.7176,
"step": 1700
},
{
"epoch": 9.6,
"learning_rate": 5e-05,
"loss": 0.6489,
"step": 1800
},
{
"epoch": 10.0,
"eval_accuracy": 0.6549647058823529,
"eval_loss": 1.4609253406524658,
"eval_runtime": 6.6599,
"eval_samples_per_second": 75.076,
"eval_steps_per_second": 9.46,
"step": 1875
},
{
"epoch": 10.0,
"eval_exact_match": 24.8,
"eval_f1": 32.80031746031747,
"eval_qa_bleu": 19.203751437503612,
"eval_qa_exact_match": 0.204,
"eval_recite_bleu": 14.497298759377461,
"eval_recite_exact_match": 0.016,
"step": 1875
},
{
"epoch": 10.13,
"learning_rate": 5e-05,
"loss": 0.6426,
"step": 1900
},
{
"epoch": 10.67,
"learning_rate": 5e-05,
"loss": 0.586,
"step": 2000
},
{
"epoch": 11.0,
"eval_accuracy": 0.6531372549019608,
"eval_loss": 1.5205447673797607,
"eval_runtime": 6.6744,
"eval_samples_per_second": 74.913,
"eval_steps_per_second": 9.439,
"step": 2062
},
{
"epoch": 11.0,
"eval_exact_match": 24.4,
"eval_f1": 32.14761904761905,
"eval_qa_bleu": 17.66314588893528,
"eval_qa_exact_match": 0.198,
"eval_recite_bleu": 14.285546168231928,
"eval_recite_exact_match": 0.016,
"step": 2062
},
{
"epoch": 11.2,
"learning_rate": 5e-05,
"loss": 0.5625,
"step": 2100
},
{
"epoch": 11.73,
"learning_rate": 5e-05,
"loss": 0.5267,
"step": 2200
},
{
"epoch": 12.0,
"eval_accuracy": 0.6518117647058823,
"eval_loss": 1.5615981817245483,
"eval_runtime": 7.0623,
"eval_samples_per_second": 70.799,
"eval_steps_per_second": 8.921,
"step": 2250
},
{
"epoch": 12.0,
"eval_exact_match": 22.0,
"eval_f1": 29.764505494505517,
"eval_qa_bleu": 14.595863052742681,
"eval_qa_exact_match": 0.174,
"eval_recite_bleu": 15.269859538584459,
"eval_recite_exact_match": 0.02,
"step": 2250
},
{
"epoch": 12.27,
"learning_rate": 5e-05,
"loss": 0.5074,
"step": 2300
},
{
"epoch": 12.8,
"learning_rate": 5e-05,
"loss": 0.4702,
"step": 2400
},
{
"epoch": 13.0,
"eval_accuracy": 0.6498588235294117,
"eval_loss": 1.6518086194992065,
"eval_runtime": 7.4952,
"eval_samples_per_second": 66.71,
"eval_steps_per_second": 8.405,
"step": 2437
},
{
"epoch": 13.0,
"eval_exact_match": 19.8,
"eval_f1": 29.199523809523825,
"eval_qa_bleu": 15.26272043877601,
"eval_qa_exact_match": 0.156,
"eval_recite_bleu": 13.712487638236569,
"eval_recite_exact_match": 0.012,
"step": 2437
},
{
"epoch": 13.33,
"learning_rate": 5e-05,
"loss": 0.4335,
"step": 2500
},
{
"epoch": 13.87,
"learning_rate": 5e-05,
"loss": 0.42,
"step": 2600
},
{
"epoch": 14.0,
"eval_accuracy": 0.6481411764705882,
"eval_loss": 1.7193351984024048,
"eval_runtime": 7.6621,
"eval_samples_per_second": 65.256,
"eval_steps_per_second": 8.222,
"step": 2625
},
{
"epoch": 14.0,
"eval_exact_match": 18.4,
"eval_f1": 27.123376623376636,
"eval_qa_bleu": 13.906554273237205,
"eval_qa_exact_match": 0.15,
"eval_recite_bleu": 14.177162892556794,
"eval_recite_exact_match": 0.016,
"step": 2625
},
{
"epoch": 14.4,
"learning_rate": 5e-05,
"loss": 0.3784,
"step": 2700
},
{
"epoch": 14.93,
"learning_rate": 5e-05,
"loss": 0.3811,
"step": 2800
},
{
"epoch": 15.0,
"eval_accuracy": 0.6458509803921568,
"eval_loss": 1.8015950918197632,
"eval_runtime": 7.7113,
"eval_samples_per_second": 64.84,
"eval_steps_per_second": 8.17,
"step": 2812
},
{
"epoch": 15.0,
"eval_exact_match": 19.0,
"eval_f1": 28.891111111111115,
"eval_qa_bleu": 16.83679026235492,
"eval_qa_exact_match": 0.154,
"eval_recite_bleu": 13.04215589870331,
"eval_recite_exact_match": 0.012,
"step": 2812
},
{
"epoch": 15.47,
"learning_rate": 5e-05,
"loss": 0.3287,
"step": 2900
},
{
"epoch": 16.0,
"learning_rate": 5e-05,
"loss": 0.3373,
"step": 3000
},
{
"epoch": 16.0,
"eval_accuracy": 0.6464627450980392,
"eval_loss": 1.8555551767349243,
"eval_runtime": 6.6548,
"eval_samples_per_second": 75.133,
"eval_steps_per_second": 9.467,
"step": 3000
},
{
"epoch": 16.0,
"eval_exact_match": 21.0,
"eval_f1": 30.546060606060603,
"eval_qa_bleu": 15.51818073374785,
"eval_qa_exact_match": 0.178,
"eval_recite_bleu": 14.611971996497491,
"eval_recite_exact_match": 0.016,
"step": 3000
},
{
"epoch": 16.53,
"learning_rate": 5e-05,
"loss": 0.284,
"step": 3100
},
{
"epoch": 17.0,
"eval_accuracy": 0.644313725490196,
"eval_loss": 1.9406696557998657,
"eval_runtime": 6.7553,
"eval_samples_per_second": 74.016,
"eval_steps_per_second": 9.326,
"step": 3187
},
{
"epoch": 17.0,
"eval_exact_match": 19.2,
"eval_f1": 26.95666666666667,
"eval_qa_bleu": 13.067462248071651,
"eval_qa_exact_match": 0.148,
"eval_recite_bleu": 13.516002177466241,
"eval_recite_exact_match": 0.016,
"step": 3187
},
{
"epoch": 17.07,
"learning_rate": 5e-05,
"loss": 0.2933,
"step": 3200
},
{
"epoch": 17.6,
"learning_rate": 5e-05,
"loss": 0.25,
"step": 3300
},
{
"epoch": 18.0,
"eval_accuracy": 0.6435764705882353,
"eval_loss": 1.9759635925292969,
"eval_runtime": 7.1655,
"eval_samples_per_second": 69.779,
"eval_steps_per_second": 8.792,
"step": 3375
},
{
"epoch": 18.0,
"eval_exact_match": 18.6,
"eval_f1": 27.20079365079366,
"eval_qa_bleu": 12.454425793037345,
"eval_qa_exact_match": 0.158,
"eval_recite_bleu": 13.86644732825742,
"eval_recite_exact_match": 0.014,
"step": 3375
},
{
"epoch": 18.13,
"learning_rate": 5e-05,
"loss": 0.2587,
"step": 3400
},
{
"epoch": 18.67,
"learning_rate": 5e-05,
"loss": 0.2274,
"step": 3500
},
{
"epoch": 19.0,
"eval_accuracy": 0.6424313725490196,
"eval_loss": 2.100283145904541,
"eval_runtime": 7.4607,
"eval_samples_per_second": 67.018,
"eval_steps_per_second": 8.444,
"step": 3562
},
{
"epoch": 19.0,
"eval_exact_match": 18.8,
"eval_f1": 26.78857142857144,
"eval_qa_bleu": 6.755652921468526,
"eval_qa_exact_match": 0.16,
"eval_recite_bleu": 13.96083887839662,
"eval_recite_exact_match": 0.018,
"step": 3562
},
{
"epoch": 19.2,
"learning_rate": 5e-05,
"loss": 0.2209,
"step": 3600
},
{
"epoch": 19.73,
"learning_rate": 5e-05,
"loss": 0.2033,
"step": 3700
},
{
"epoch": 20.0,
"eval_accuracy": 0.6424627450980392,
"eval_loss": 2.141883373260498,
"eval_runtime": 6.6558,
"eval_samples_per_second": 75.122,
"eval_steps_per_second": 9.465,
"step": 3750
},
{
"epoch": 20.0,
"eval_exact_match": 20.4,
"eval_f1": 28.975054945054936,
"eval_qa_bleu": 14.791681538972547,
"eval_qa_exact_match": 0.168,
"eval_recite_bleu": 14.920846894015328,
"eval_recite_exact_match": 0.016,
"step": 3750
},
{
"epoch": 20.27,
"learning_rate": 5e-05,
"loss": 0.1928,
"step": 3800
},
{
"epoch": 20.8,
"learning_rate": 5e-05,
"loss": 0.1832,
"step": 3900
},
{
"epoch": 21.0,
"eval_accuracy": 0.6405333333333333,
"eval_loss": 2.2004899978637695,
"eval_runtime": 7.0682,
"eval_samples_per_second": 70.739,
"eval_steps_per_second": 8.913,
"step": 3937
},
{
"epoch": 21.0,
"eval_exact_match": 19.8,
"eval_f1": 27.03857142857144,
"eval_qa_bleu": 14.16698111965369,
"eval_qa_exact_match": 0.152,
"eval_recite_bleu": 14.34411744472555,
"eval_recite_exact_match": 0.016,
"step": 3937
},
{
"epoch": 21.33,
"learning_rate": 5e-05,
"loss": 0.1674,
"step": 4000
},
{
"epoch": 21.87,
"learning_rate": 5e-05,
"loss": 0.1678,
"step": 4100
},
{
"epoch": 22.0,
"eval_accuracy": 0.6396627450980392,
"eval_loss": 2.2465262413024902,
"eval_runtime": 7.6611,
"eval_samples_per_second": 65.264,
"eval_steps_per_second": 8.223,
"step": 4125
},
{
"epoch": 22.0,
"eval_exact_match": 18.8,
"eval_f1": 26.868253968253967,
"eval_qa_bleu": 16.683806863576216,
"eval_qa_exact_match": 0.15,
"eval_recite_bleu": 15.201480663492395,
"eval_recite_exact_match": 0.018,
"step": 4125
},
{
"epoch": 22.4,
"learning_rate": 5e-05,
"loss": 0.1516,
"step": 4200
},
{
"epoch": 22.93,
"learning_rate": 5e-05,
"loss": 0.1505,
"step": 4300
},
{
"epoch": 23.0,
"eval_accuracy": 0.6399607843137255,
"eval_loss": 2.292829990386963,
"eval_runtime": 7.6966,
"eval_samples_per_second": 64.963,
"eval_steps_per_second": 8.185,
"step": 4312
},
{
"epoch": 23.0,
"eval_exact_match": 20.4,
"eval_f1": 28.723809523809532,
"eval_qa_bleu": 14.649664836489828,
"eval_qa_exact_match": 0.16,
"eval_recite_bleu": 14.44141809683148,
"eval_recite_exact_match": 0.016,
"step": 4312
},
{
"epoch": 23.47,
"learning_rate": 5e-05,
"loss": 0.1345,
"step": 4400
},
{
"epoch": 24.0,
"learning_rate": 5e-05,
"loss": 0.1406,
"step": 4500
},
{
"epoch": 24.0,
"eval_accuracy": 0.6399686274509804,
"eval_loss": 2.369138240814209,
"eval_runtime": 7.0721,
"eval_samples_per_second": 70.701,
"eval_steps_per_second": 8.908,
"step": 4500
},
{
"epoch": 24.0,
"eval_exact_match": 17.8,
"eval_f1": 25.43047619047621,
"eval_qa_bleu": 13.339685450002685,
"eval_qa_exact_match": 0.148,
"eval_recite_bleu": 13.754679861863655,
"eval_recite_exact_match": 0.018,
"step": 4500
},
{
"epoch": 24.53,
"learning_rate": 5e-05,
"loss": 0.1214,
"step": 4600
},
{
"epoch": 25.0,
"eval_accuracy": 0.6389882352941176,
"eval_loss": 2.41001033782959,
"eval_runtime": 7.2032,
"eval_samples_per_second": 69.414,
"eval_steps_per_second": 8.746,
"step": 4687
},
{
"epoch": 25.0,
"eval_exact_match": 18.0,
"eval_f1": 26.35142857142858,
"eval_qa_bleu": 10.51643947107139,
"eval_qa_exact_match": 0.146,
"eval_recite_bleu": 13.73909597941028,
"eval_recite_exact_match": 0.02,
"step": 4687
},
{
"epoch": 25.07,
"learning_rate": 5e-05,
"loss": 0.1266,
"step": 4700
},
{
"epoch": 25.6,
"learning_rate": 5e-05,
"loss": 0.1128,
"step": 4800
},
{
"epoch": 26.0,
"eval_accuracy": 0.6381725490196078,
"eval_loss": 2.484750986099243,
"eval_runtime": 6.6571,
"eval_samples_per_second": 75.107,
"eval_steps_per_second": 9.464,
"step": 4875
},
{
"epoch": 26.0,
"eval_exact_match": 19.0,
"eval_f1": 28.15619047619049,
"eval_qa_bleu": 7.883655295314112,
"eval_qa_exact_match": 0.158,
"eval_recite_bleu": 14.563137659888193,
"eval_recite_exact_match": 0.02,
"step": 4875
},
{
"epoch": 26.13,
"learning_rate": 5e-05,
"loss": 0.1179,
"step": 4900
},
{
"epoch": 26.67,
"learning_rate": 5e-05,
"loss": 0.1076,
"step": 5000
},
{
"epoch": 27.0,
"eval_accuracy": 0.638956862745098,
"eval_loss": 2.546912908554077,
"eval_runtime": 6.6822,
"eval_samples_per_second": 74.826,
"eval_steps_per_second": 9.428,
"step": 5062
},
{
"epoch": 27.0,
"eval_exact_match": 18.8,
"eval_f1": 25.95916971916973,
"eval_qa_bleu": 6.531854323689431,
"eval_qa_exact_match": 0.162,
"eval_recite_bleu": 13.16436178935274,
"eval_recite_exact_match": 0.022,
"step": 5062
},
{
"epoch": 27.2,
"learning_rate": 5e-05,
"loss": 0.1095,
"step": 5100
},
{
"epoch": 27.73,
"learning_rate": 5e-05,
"loss": 0.1046,
"step": 5200
},
{
"epoch": 28.0,
"eval_accuracy": 0.6391529411764706,
"eval_loss": 2.5205068588256836,
"eval_runtime": 7.4592,
"eval_samples_per_second": 67.031,
"eval_steps_per_second": 8.446,
"step": 5250
},
{
"epoch": 28.0,
"eval_exact_match": 17.2,
"eval_f1": 25.731298701298712,
"eval_qa_bleu": 8.206606144769799,
"eval_qa_exact_match": 0.14,
"eval_recite_bleu": 14.236424434530772,
"eval_recite_exact_match": 0.022,
"step": 5250
},
{
"epoch": 28.27,
"learning_rate": 5e-05,
"loss": 0.1003,
"step": 5300
},
{
"epoch": 28.8,
"learning_rate": 5e-05,
"loss": 0.1007,
"step": 5400
},
{
"epoch": 29.0,
"eval_accuracy": 0.6381882352941176,
"eval_loss": 2.575054407119751,
"eval_runtime": 6.7399,
"eval_samples_per_second": 74.185,
"eval_steps_per_second": 9.347,
"step": 5437
},
{
"epoch": 29.0,
"eval_exact_match": 16.6,
"eval_f1": 25.44886446886448,
"eval_qa_bleu": 11.416596929945294,
"eval_qa_exact_match": 0.132,
"eval_recite_bleu": 14.936294044523267,
"eval_recite_exact_match": 0.026,
"step": 5437
},
{
"epoch": 29.33,
"learning_rate": 5e-05,
"loss": 0.0956,
"step": 5500
},
{
"epoch": 29.87,
"learning_rate": 5e-05,
"loss": 0.0967,
"step": 5600
},
{
"epoch": 30.0,
"eval_accuracy": 0.6388784313725491,
"eval_loss": 2.598768472671509,
"eval_runtime": 6.6559,
"eval_samples_per_second": 75.122,
"eval_steps_per_second": 9.465,
"step": 5625
},
{
"epoch": 30.0,
"eval_exact_match": 18.8,
"eval_f1": 26.82857142857144,
"eval_qa_bleu": 8.539846307112432,
"eval_qa_exact_match": 0.148,
"eval_recite_bleu": 14.818047491107617,
"eval_recite_exact_match": 0.022,
"step": 5625
},
{
"epoch": 30.4,
"learning_rate": 5e-05,
"loss": 0.0912,
"step": 5700
},
{
"epoch": 30.93,
"learning_rate": 5e-05,
"loss": 0.0947,
"step": 5800
},
{
"epoch": 31.0,
"eval_accuracy": 0.6390509803921569,
"eval_loss": 2.6168441772460938,
"eval_runtime": 7.5152,
"eval_samples_per_second": 66.532,
"eval_steps_per_second": 8.383,
"step": 5812
},
{
"epoch": 31.0,
"eval_exact_match": 19.8,
"eval_f1": 27.306190476190487,
"eval_qa_bleu": 15.11903516220494,
"eval_qa_exact_match": 0.146,
"eval_recite_bleu": 15.095386960197741,
"eval_recite_exact_match": 0.03,
"step": 5812
},
{
"epoch": 31.47,
"learning_rate": 5e-05,
"loss": 0.087,
"step": 5900
},
{
"epoch": 32.0,
"learning_rate": 5e-05,
"loss": 0.0914,
"step": 6000
},
{
"epoch": 32.0,
"eval_accuracy": 0.6393411764705882,
"eval_loss": 2.666327476501465,
"eval_runtime": 6.6541,
"eval_samples_per_second": 75.142,
"eval_steps_per_second": 9.468,
"step": 6000
},
{
"epoch": 32.0,
"eval_exact_match": 18.2,
"eval_f1": 27.904761904761916,
"eval_qa_bleu": 10.102774569302643,
"eval_qa_exact_match": 0.148,
"eval_recite_bleu": 14.86885556528055,
"eval_recite_exact_match": 0.024,
"step": 6000
},
{
"epoch": 32.53,
"learning_rate": 5e-05,
"loss": 0.0834,
"step": 6100
},
{
"epoch": 33.0,
"eval_accuracy": 0.639521568627451,
"eval_loss": 2.6627161502838135,
"eval_runtime": 6.719,
"eval_samples_per_second": 74.416,
"eval_steps_per_second": 9.376,
"step": 6187
},
{
"epoch": 33.0,
"eval_exact_match": 21.0,
"eval_f1": 28.334885844748868,
"eval_qa_bleu": 12.177590782661031,
"eval_qa_exact_match": 0.17,
"eval_recite_bleu": 14.44189612883832,
"eval_recite_exact_match": 0.026,
"step": 6187
},
{
"epoch": 33.07,
"learning_rate": 5e-05,
"loss": 0.0878,
"step": 6200
},
{
"epoch": 33.6,
"learning_rate": 5e-05,
"loss": 0.0827,
"step": 6300
},
{
"epoch": 34.0,
"eval_accuracy": 0.6383450980392157,
"eval_loss": 2.6657156944274902,
"eval_runtime": 6.6564,
"eval_samples_per_second": 75.116,
"eval_steps_per_second": 9.465,
"step": 6375
},
{
"epoch": 34.0,
"eval_exact_match": 17.8,
"eval_f1": 25.287619047619064,
"eval_qa_bleu": 13.43249770935417,
"eval_qa_exact_match": 0.144,
"eval_recite_bleu": 14.257830156074794,
"eval_recite_exact_match": 0.026,
"step": 6375
},
{
"epoch": 34.13,
"learning_rate": 5e-05,
"loss": 0.0849,
"step": 6400
},
{
"epoch": 34.67,
"learning_rate": 5e-05,
"loss": 0.0818,
"step": 6500
},
{
"epoch": 35.0,
"eval_accuracy": 0.6389882352941176,
"eval_loss": 2.6941633224487305,
"eval_runtime": 6.6666,
"eval_samples_per_second": 75.001,
"eval_steps_per_second": 9.45,
"step": 6562
},
{
"epoch": 35.0,
"eval_exact_match": 20.0,
"eval_f1": 26.61507936507937,
"eval_qa_bleu": 11.98196398422812,
"eval_qa_exact_match": 0.166,
"eval_recite_bleu": 15.297615086859388,
"eval_recite_exact_match": 0.03,
"step": 6562
},
{
"epoch": 35.2,
"learning_rate": 5e-05,
"loss": 0.0826,
"step": 6600
},
{
"epoch": 35.73,
"learning_rate": 5e-05,
"loss": 0.0817,
"step": 6700
},
{
"epoch": 36.0,
"eval_accuracy": 0.6383686274509804,
"eval_loss": 2.7361207008361816,
"eval_runtime": 6.6649,
"eval_samples_per_second": 75.02,
"eval_steps_per_second": 9.453,
"step": 6750
},
{
"epoch": 36.0,
"eval_exact_match": 15.6,
"eval_f1": 24.341428571428583,
"eval_qa_bleu": 12.164230009686962,
"eval_qa_exact_match": 0.122,
"eval_recite_bleu": 14.713130786681702,
"eval_recite_exact_match": 0.028,
"step": 6750
},
{
"epoch": 36.27,
"learning_rate": 5e-05,
"loss": 0.0806,
"step": 6800
},
{
"epoch": 36.8,
"learning_rate": 5e-05,
"loss": 0.0799,
"step": 6900
},
{
"epoch": 37.0,
"eval_accuracy": 0.6386823529411765,
"eval_loss": 2.7282583713531494,
"eval_runtime": 7.0995,
"eval_samples_per_second": 70.428,
"eval_steps_per_second": 8.874,
"step": 6937
},
{
"epoch": 37.0,
"eval_exact_match": 19.0,
"eval_f1": 26.294444444444455,
"eval_qa_bleu": 12.126807356073423,
"eval_qa_exact_match": 0.158,
"eval_recite_bleu": 14.707435095434732,
"eval_recite_exact_match": 0.028,
"step": 6937
},
{
"epoch": 37.33,
"learning_rate": 5e-05,
"loss": 0.0776,
"step": 7000
},
{
"epoch": 37.87,
"learning_rate": 5e-05,
"loss": 0.0784,
"step": 7100
},
{
"epoch": 38.0,
"eval_accuracy": 0.6379843137254902,
"eval_loss": 2.7539706230163574,
"eval_runtime": 7.4637,
"eval_samples_per_second": 66.991,
"eval_steps_per_second": 8.441,
"step": 7125
},
{
"epoch": 38.0,
"eval_exact_match": 17.8,
"eval_f1": 25.752582972582978,
"eval_qa_bleu": 13.042360364860006,
"eval_qa_exact_match": 0.148,
"eval_recite_bleu": 13.422661654351161,
"eval_recite_exact_match": 0.014,
"step": 7125
},
{
"epoch": 38.4,
"learning_rate": 5e-05,
"loss": 0.0765,
"step": 7200
},
{
"epoch": 38.93,
"learning_rate": 5e-05,
"loss": 0.0788,
"step": 7300
},
{
"epoch": 39.0,
"eval_accuracy": 0.6387607843137255,
"eval_loss": 2.7975375652313232,
"eval_runtime": 7.7145,
"eval_samples_per_second": 64.813,
"eval_steps_per_second": 8.166,
"step": 7312
},
{
"epoch": 39.0,
"eval_exact_match": 17.8,
"eval_f1": 25.90701298701299,
"eval_qa_bleu": 14.875623156941945,
"eval_qa_exact_match": 0.142,
"eval_recite_bleu": 14.139663492994524,
"eval_recite_exact_match": 0.02,
"step": 7312
},
{
"epoch": 39.47,
"learning_rate": 5e-05,
"loss": 0.0751,
"step": 7400
},
{
"epoch": 40.0,
"learning_rate": 5e-05,
"loss": 0.079,
"step": 7500
},
{
"epoch": 40.0,
"eval_accuracy": 0.6390901960784314,
"eval_loss": 2.7849485874176025,
"eval_runtime": 6.6517,
"eval_samples_per_second": 75.168,
"eval_steps_per_second": 9.471,
"step": 7500
},
{
"epoch": 40.0,
"eval_exact_match": 19.6,
"eval_f1": 26.523809523809533,
"eval_qa_bleu": 12.596822978027996,
"eval_qa_exact_match": 0.152,
"eval_recite_bleu": 15.111971741554742,
"eval_recite_exact_match": 0.022,
"step": 7500
},
{
"epoch": 40.53,
"learning_rate": 5e-05,
"loss": 0.0734,
"step": 7600
},
{
"epoch": 41.0,
"eval_accuracy": 0.6383764705882353,
"eval_loss": 2.8044795989990234,
"eval_runtime": 7.6611,
"eval_samples_per_second": 65.265,
"eval_steps_per_second": 8.223,
"step": 7687
},
{
"epoch": 41.0,
"eval_exact_match": 17.2,
"eval_f1": 25.060268620268626,
"eval_qa_bleu": 13.678395766110564,
"eval_qa_exact_match": 0.138,
"eval_recite_bleu": 13.766722868189284,
"eval_recite_exact_match": 0.018,
"step": 7687
},
{
"epoch": 41.07,
"learning_rate": 5e-05,
"loss": 0.0773,
"step": 7700
},
{
"epoch": 41.6,
"learning_rate": 5e-05,
"loss": 0.0735,
"step": 7800
},
{
"epoch": 42.0,
"eval_accuracy": 0.6389254901960785,
"eval_loss": 2.806025981903076,
"eval_runtime": 6.6643,
"eval_samples_per_second": 75.027,
"eval_steps_per_second": 9.453,
"step": 7875
},
{
"epoch": 42.0,
"eval_exact_match": 18.4,
"eval_f1": 25.394761904761907,
"eval_qa_bleu": 14.274991754808283,
"eval_qa_exact_match": 0.152,
"eval_recite_bleu": 12.166894147679086,
"eval_recite_exact_match": 0.01,
"step": 7875
},
{
"epoch": 42.13,
"learning_rate": 5e-05,
"loss": 0.0751,
"step": 7900
},
{
"epoch": 42.67,
"learning_rate": 5e-05,
"loss": 0.073,
"step": 8000
},
{
"epoch": 43.0,
"eval_accuracy": 0.6387450980392156,
"eval_loss": 2.8026182651519775,
"eval_runtime": 7.4771,
"eval_samples_per_second": 66.871,
"eval_steps_per_second": 8.426,
"step": 8062
},
{
"epoch": 43.0,
"eval_exact_match": 16.0,
"eval_f1": 23.73333333333334,
"eval_qa_bleu": 9.497279831354774,
"eval_qa_exact_match": 0.13,
"eval_recite_bleu": 12.740344920561881,
"eval_recite_exact_match": 0.014,
"step": 8062
},
{
"epoch": 43.2,
"learning_rate": 5e-05,
"loss": 0.0746,
"step": 8100
},
{
"epoch": 43.73,
"learning_rate": 5e-05,
"loss": 0.0737,
"step": 8200
},
{
"epoch": 44.0,
"eval_accuracy": 0.638643137254902,
"eval_loss": 2.8393852710723877,
"eval_runtime": 7.075,
"eval_samples_per_second": 70.671,
"eval_steps_per_second": 8.905,
"step": 8250
},
{
"epoch": 44.0,
"eval_exact_match": 14.2,
"eval_f1": 22.128095238095252,
"eval_qa_bleu": 10.28150817786033,
"eval_qa_exact_match": 0.108,
"eval_recite_bleu": 11.743705431581837,
"eval_recite_exact_match": 0.014,
"step": 8250
},
{
"epoch": 44.27,
"learning_rate": 5e-05,
"loss": 0.0734,
"step": 8300
},
{
"epoch": 44.8,
"learning_rate": 5e-05,
"loss": 0.0736,
"step": 8400
},
{
"epoch": 45.0,
"eval_accuracy": 0.6390588235294118,
"eval_loss": 2.811821460723877,
"eval_runtime": 7.4896,
"eval_samples_per_second": 66.759,
"eval_steps_per_second": 8.412,
"step": 8437
},
{
"epoch": 45.0,
"eval_exact_match": 16.6,
"eval_f1": 22.322857142857153,
"eval_qa_bleu": 10.231299353118551,
"eval_qa_exact_match": 0.134,
"eval_recite_bleu": 11.37344332610696,
"eval_recite_exact_match": 0.008,
"step": 8437
},
{
"epoch": 45.33,
"learning_rate": 5e-05,
"loss": 0.0711,
"step": 8500
},
{
"epoch": 45.87,
"learning_rate": 5e-05,
"loss": 0.0724,
"step": 8600
},
{
"epoch": 46.0,
"eval_accuracy": 0.6388313725490196,
"eval_loss": 2.849515438079834,
"eval_runtime": 6.6632,
"eval_samples_per_second": 75.039,
"eval_steps_per_second": 9.455,
"step": 8625
},
{
"epoch": 46.0,
"eval_exact_match": 16.8,
"eval_f1": 23.55984126984127,
"eval_qa_bleu": 11.575646857443479,
"eval_qa_exact_match": 0.132,
"eval_recite_bleu": 11.803037448505567,
"eval_recite_exact_match": 0.012,
"step": 8625
},
{
"epoch": 46.4,
"learning_rate": 5e-05,
"loss": 0.0696,
"step": 8700
},
{
"epoch": 46.93,
"learning_rate": 5e-05,
"loss": 0.0721,
"step": 8800
},
{
"epoch": 47.0,
"eval_accuracy": 0.638964705882353,
"eval_loss": 2.844177722930908,
"eval_runtime": 7.5389,
"eval_samples_per_second": 66.323,
"eval_steps_per_second": 8.357,
"step": 8812
},
{
"epoch": 47.0,
"eval_exact_match": 16.4,
"eval_f1": 22.471111111111114,
"eval_qa_bleu": 7.236042097106983,
"eval_qa_exact_match": 0.124,
"eval_recite_bleu": 12.05434822783003,
"eval_recite_exact_match": 0.012,
"step": 8812
}
],
"logging_steps": 100,
"max_steps": 9350,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 2.0422792020104315e+18,
"trial_name": null,
"trial_params": null
}