quanIta_t5 / trainer_state.json
Davide Montebovi
first version
4455348
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"global_step": 91107,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 2.983535842470941e-05,
"loss": 4.3991,
"step": 500
},
{
"epoch": 0.03,
"learning_rate": 2.9670716849418816e-05,
"loss": 1.3497,
"step": 1000
},
{
"epoch": 0.05,
"learning_rate": 2.9506075274128224e-05,
"loss": 1.0917,
"step": 1500
},
{
"epoch": 0.07,
"learning_rate": 2.934143369883763e-05,
"loss": 0.8889,
"step": 2000
},
{
"epoch": 0.07,
"eval_exact_match": 18.4,
"eval_f1": 18.8036,
"eval_gen_len": 5.368,
"eval_loss": 0.6919174194335938,
"eval_rouge1": 18.1786,
"eval_rouge2": 8.6387,
"eval_rougeL": 18.1534,
"eval_rougeLsum": 18.0938,
"eval_runtime": 75.0695,
"eval_samples_per_second": 13.321,
"eval_steps_per_second": 4.449,
"step": 2000
},
{
"epoch": 0.08,
"learning_rate": 2.917679212354704e-05,
"loss": 0.8433,
"step": 2500
},
{
"epoch": 0.1,
"learning_rate": 2.9012150548256447e-05,
"loss": 0.8052,
"step": 3000
},
{
"epoch": 0.12,
"learning_rate": 2.8847508972965855e-05,
"loss": 0.8465,
"step": 3500
},
{
"epoch": 0.13,
"learning_rate": 2.8682867397675263e-05,
"loss": 0.7535,
"step": 4000
},
{
"epoch": 0.13,
"eval_exact_match": 13.0,
"eval_f1": 21.7903,
"eval_gen_len": 5.483,
"eval_loss": 0.5836785435676575,
"eval_rouge1": 21.3055,
"eval_rouge2": 9.2894,
"eval_rougeL": 21.2178,
"eval_rougeLsum": 21.3015,
"eval_runtime": 76.4558,
"eval_samples_per_second": 13.079,
"eval_steps_per_second": 4.369,
"step": 4000
},
{
"epoch": 0.15,
"learning_rate": 2.851822582238467e-05,
"loss": 0.8144,
"step": 4500
},
{
"epoch": 0.16,
"learning_rate": 2.8353584247094075e-05,
"loss": 0.7393,
"step": 5000
},
{
"epoch": 0.18,
"learning_rate": 2.8188942671803483e-05,
"loss": 0.7273,
"step": 5500
},
{
"epoch": 0.2,
"learning_rate": 2.802430109651289e-05,
"loss": 0.6731,
"step": 6000
},
{
"epoch": 0.2,
"eval_exact_match": 11.9,
"eval_f1": 21.595,
"eval_gen_len": 5.467,
"eval_loss": 0.5862796306610107,
"eval_rouge1": 21.739,
"eval_rouge2": 9.5334,
"eval_rougeL": 21.7018,
"eval_rougeLsum": 21.6884,
"eval_runtime": 74.4712,
"eval_samples_per_second": 13.428,
"eval_steps_per_second": 4.485,
"step": 6000
},
{
"epoch": 0.21,
"learning_rate": 2.7859659521222298e-05,
"loss": 0.6948,
"step": 6500
},
{
"epoch": 0.23,
"learning_rate": 2.769501794593171e-05,
"loss": 0.6698,
"step": 7000
},
{
"epoch": 0.25,
"learning_rate": 2.7530376370641117e-05,
"loss": 0.6466,
"step": 7500
},
{
"epoch": 0.26,
"learning_rate": 2.7365734795350525e-05,
"loss": 0.6879,
"step": 8000
},
{
"epoch": 0.26,
"eval_exact_match": 6.1,
"eval_f1": 22.3924,
"eval_gen_len": 5.95,
"eval_loss": 0.5380619168281555,
"eval_rouge1": 25.3106,
"eval_rouge2": 11.8582,
"eval_rougeL": 25.2639,
"eval_rougeLsum": 25.2861,
"eval_runtime": 76.6994,
"eval_samples_per_second": 13.038,
"eval_steps_per_second": 4.355,
"step": 8000
},
{
"epoch": 0.28,
"learning_rate": 2.720109322005993e-05,
"loss": 0.6504,
"step": 8500
},
{
"epoch": 0.3,
"learning_rate": 2.7036451644769337e-05,
"loss": 0.6834,
"step": 9000
},
{
"epoch": 0.31,
"learning_rate": 2.6871810069478745e-05,
"loss": 0.6759,
"step": 9500
},
{
"epoch": 0.33,
"learning_rate": 2.6707168494188152e-05,
"loss": 0.6459,
"step": 10000
},
{
"epoch": 0.33,
"eval_exact_match": 8.1,
"eval_f1": 22.3008,
"eval_gen_len": 5.583,
"eval_loss": 0.536933958530426,
"eval_rouge1": 25.1248,
"eval_rouge2": 11.4572,
"eval_rougeL": 25.13,
"eval_rougeLsum": 25.1636,
"eval_runtime": 74.8336,
"eval_samples_per_second": 13.363,
"eval_steps_per_second": 4.463,
"step": 10000
},
{
"epoch": 0.35,
"learning_rate": 2.654252691889756e-05,
"loss": 0.6555,
"step": 10500
},
{
"epoch": 0.36,
"learning_rate": 2.6377885343606968e-05,
"loss": 0.622,
"step": 11000
},
{
"epoch": 0.38,
"learning_rate": 2.6213243768316376e-05,
"loss": 0.6434,
"step": 11500
},
{
"epoch": 0.4,
"learning_rate": 2.6048602193025783e-05,
"loss": 0.5865,
"step": 12000
},
{
"epoch": 0.4,
"eval_exact_match": 7.8,
"eval_f1": 22.5664,
"eval_gen_len": 5.502,
"eval_loss": 0.5340938568115234,
"eval_rouge1": 25.6756,
"eval_rouge2": 11.0984,
"eval_rougeL": 25.6163,
"eval_rougeLsum": 25.6348,
"eval_runtime": 74.1837,
"eval_samples_per_second": 13.48,
"eval_steps_per_second": 4.502,
"step": 12000
},
{
"epoch": 0.41,
"learning_rate": 2.588396061773519e-05,
"loss": 0.573,
"step": 12500
},
{
"epoch": 0.43,
"learning_rate": 2.57193190424446e-05,
"loss": 0.6825,
"step": 13000
},
{
"epoch": 0.44,
"learning_rate": 2.5554677467154007e-05,
"loss": 0.5871,
"step": 13500
},
{
"epoch": 0.46,
"learning_rate": 2.5390035891863414e-05,
"loss": 0.6442,
"step": 14000
},
{
"epoch": 0.46,
"eval_exact_match": 8.0,
"eval_f1": 22.9873,
"eval_gen_len": 5.694,
"eval_loss": 0.5320589542388916,
"eval_rouge1": 25.6004,
"eval_rouge2": 11.31,
"eval_rougeL": 25.6195,
"eval_rougeLsum": 25.6027,
"eval_runtime": 75.839,
"eval_samples_per_second": 13.186,
"eval_steps_per_second": 4.404,
"step": 14000
},
{
"epoch": 0.48,
"learning_rate": 2.5225394316572822e-05,
"loss": 0.6252,
"step": 14500
},
{
"epoch": 0.49,
"learning_rate": 2.5060752741282227e-05,
"loss": 0.613,
"step": 15000
},
{
"epoch": 0.51,
"learning_rate": 2.4896111165991638e-05,
"loss": 0.5827,
"step": 15500
},
{
"epoch": 0.53,
"learning_rate": 2.4731469590701045e-05,
"loss": 0.5819,
"step": 16000
},
{
"epoch": 0.53,
"eval_exact_match": 6.6,
"eval_f1": 23.22,
"eval_gen_len": 5.789,
"eval_loss": 0.5230505466461182,
"eval_rouge1": 25.3937,
"eval_rouge2": 11.1344,
"eval_rougeL": 25.3304,
"eval_rougeLsum": 25.3461,
"eval_runtime": 75.9506,
"eval_samples_per_second": 13.166,
"eval_steps_per_second": 4.398,
"step": 16000
},
{
"epoch": 0.54,
"learning_rate": 2.4566828015410453e-05,
"loss": 0.6175,
"step": 16500
},
{
"epoch": 0.56,
"learning_rate": 2.440218644011986e-05,
"loss": 0.6132,
"step": 17000
},
{
"epoch": 0.58,
"learning_rate": 2.423754486482927e-05,
"loss": 0.6048,
"step": 17500
},
{
"epoch": 0.59,
"learning_rate": 2.4072903289538673e-05,
"loss": 0.5908,
"step": 18000
},
{
"epoch": 0.59,
"eval_exact_match": 7.3,
"eval_f1": 23.0102,
"eval_gen_len": 5.769,
"eval_loss": 0.5285995006561279,
"eval_rouge1": 25.898,
"eval_rouge2": 11.687,
"eval_rougeL": 25.8492,
"eval_rougeLsum": 25.8886,
"eval_runtime": 76.3215,
"eval_samples_per_second": 13.102,
"eval_steps_per_second": 4.376,
"step": 18000
},
{
"epoch": 0.61,
"learning_rate": 2.390826171424808e-05,
"loss": 0.5972,
"step": 18500
},
{
"epoch": 0.63,
"learning_rate": 2.374362013895749e-05,
"loss": 0.5995,
"step": 19000
},
{
"epoch": 0.64,
"learning_rate": 2.3578978563666896e-05,
"loss": 0.6133,
"step": 19500
},
{
"epoch": 0.66,
"learning_rate": 2.3414336988376307e-05,
"loss": 0.5814,
"step": 20000
},
{
"epoch": 0.66,
"eval_exact_match": 6.8,
"eval_f1": 23.0215,
"eval_gen_len": 5.956,
"eval_loss": 0.5266488790512085,
"eval_rouge1": 25.7545,
"eval_rouge2": 11.6372,
"eval_rougeL": 25.7025,
"eval_rougeLsum": 25.6994,
"eval_runtime": 77.5697,
"eval_samples_per_second": 12.892,
"eval_steps_per_second": 4.306,
"step": 20000
},
{
"epoch": 0.68,
"learning_rate": 2.3249695413085715e-05,
"loss": 0.5501,
"step": 20500
},
{
"epoch": 0.69,
"learning_rate": 2.3085053837795123e-05,
"loss": 0.5771,
"step": 21000
},
{
"epoch": 0.71,
"learning_rate": 2.2920412262504527e-05,
"loss": 0.5856,
"step": 21500
},
{
"epoch": 0.72,
"learning_rate": 2.2755770687213935e-05,
"loss": 0.5969,
"step": 22000
},
{
"epoch": 0.72,
"eval_exact_match": 6.6,
"eval_f1": 22.3945,
"eval_gen_len": 5.784,
"eval_loss": 0.5150488018989563,
"eval_rouge1": 26.376,
"eval_rouge2": 11.4531,
"eval_rougeL": 26.3401,
"eval_rougeLsum": 26.3444,
"eval_runtime": 76.9076,
"eval_samples_per_second": 13.003,
"eval_steps_per_second": 4.343,
"step": 22000
},
{
"epoch": 0.74,
"learning_rate": 2.2591129111923343e-05,
"loss": 0.6051,
"step": 22500
},
{
"epoch": 0.76,
"learning_rate": 2.242648753663275e-05,
"loss": 0.6252,
"step": 23000
},
{
"epoch": 0.77,
"learning_rate": 2.226184596134216e-05,
"loss": 0.6002,
"step": 23500
},
{
"epoch": 0.79,
"learning_rate": 2.2097204386051566e-05,
"loss": 0.6071,
"step": 24000
},
{
"epoch": 0.79,
"eval_exact_match": 7.5,
"eval_f1": 22.429,
"eval_gen_len": 5.577,
"eval_loss": 0.5234242081642151,
"eval_rouge1": 26.0675,
"eval_rouge2": 11.2086,
"eval_rougeL": 26.062,
"eval_rougeLsum": 26.0623,
"eval_runtime": 74.7901,
"eval_samples_per_second": 13.371,
"eval_steps_per_second": 4.466,
"step": 24000
},
{
"epoch": 0.81,
"learning_rate": 2.1932562810760974e-05,
"loss": 0.5639,
"step": 24500
},
{
"epoch": 0.82,
"learning_rate": 2.176792123547038e-05,
"loss": 0.5438,
"step": 25000
},
{
"epoch": 0.84,
"learning_rate": 2.160327966017979e-05,
"loss": 0.5473,
"step": 25500
},
{
"epoch": 0.86,
"learning_rate": 2.1438638084889197e-05,
"loss": 0.5743,
"step": 26000
},
{
"epoch": 0.86,
"eval_exact_match": 6.1,
"eval_f1": 22.4076,
"eval_gen_len": 5.714,
"eval_loss": 0.5406718850135803,
"eval_rouge1": 27.3834,
"eval_rouge2": 11.9993,
"eval_rougeL": 27.3736,
"eval_rougeLsum": 27.3494,
"eval_runtime": 75.5929,
"eval_samples_per_second": 13.229,
"eval_steps_per_second": 4.418,
"step": 26000
},
{
"epoch": 0.87,
"learning_rate": 2.1273996509598605e-05,
"loss": 0.6123,
"step": 26500
},
{
"epoch": 0.89,
"learning_rate": 2.1109354934308013e-05,
"loss": 0.5416,
"step": 27000
},
{
"epoch": 0.91,
"learning_rate": 2.094471335901742e-05,
"loss": 0.5794,
"step": 27500
},
{
"epoch": 0.92,
"learning_rate": 2.0780071783726825e-05,
"loss": 0.5513,
"step": 28000
},
{
"epoch": 0.92,
"eval_exact_match": 5.6,
"eval_f1": 23.3636,
"eval_gen_len": 5.841,
"eval_loss": 0.516300618648529,
"eval_rouge1": 27.5598,
"eval_rouge2": 12.4259,
"eval_rougeL": 27.494,
"eval_rougeLsum": 27.5139,
"eval_runtime": 75.7363,
"eval_samples_per_second": 13.204,
"eval_steps_per_second": 4.41,
"step": 28000
},
{
"epoch": 0.94,
"learning_rate": 2.0615430208436232e-05,
"loss": 0.5198,
"step": 28500
},
{
"epoch": 0.95,
"learning_rate": 2.0450788633145644e-05,
"loss": 0.5419,
"step": 29000
},
{
"epoch": 0.97,
"learning_rate": 2.028614705785505e-05,
"loss": 0.594,
"step": 29500
},
{
"epoch": 0.99,
"learning_rate": 2.012150548256446e-05,
"loss": 0.5916,
"step": 30000
},
{
"epoch": 0.99,
"eval_exact_match": 6.5,
"eval_f1": 23.2412,
"eval_gen_len": 5.805,
"eval_loss": 0.524455726146698,
"eval_rouge1": 26.6244,
"eval_rouge2": 11.8352,
"eval_rougeL": 26.5432,
"eval_rougeLsum": 26.5964,
"eval_runtime": 76.4476,
"eval_samples_per_second": 13.081,
"eval_steps_per_second": 4.369,
"step": 30000
},
{
"epoch": 1.0,
"learning_rate": 1.9956863907273867e-05,
"loss": 0.5885,
"step": 30500
},
{
"epoch": 1.02,
"learning_rate": 1.979222233198327e-05,
"loss": 0.5536,
"step": 31000
},
{
"epoch": 1.04,
"learning_rate": 1.962758075669268e-05,
"loss": 0.5119,
"step": 31500
},
{
"epoch": 1.05,
"learning_rate": 1.9462939181402087e-05,
"loss": 0.5046,
"step": 32000
},
{
"epoch": 1.05,
"eval_exact_match": 8.6,
"eval_f1": 22.4289,
"eval_gen_len": 5.578,
"eval_loss": 0.5430198907852173,
"eval_rouge1": 26.57,
"eval_rouge2": 11.7677,
"eval_rougeL": 26.6056,
"eval_rougeLsum": 26.5575,
"eval_runtime": 74.902,
"eval_samples_per_second": 13.351,
"eval_steps_per_second": 4.459,
"step": 32000
},
{
"epoch": 1.07,
"learning_rate": 1.9298297606111494e-05,
"loss": 0.5077,
"step": 32500
},
{
"epoch": 1.09,
"learning_rate": 1.9133656030820902e-05,
"loss": 0.5206,
"step": 33000
},
{
"epoch": 1.1,
"learning_rate": 1.8969014455530313e-05,
"loss": 0.5079,
"step": 33500
},
{
"epoch": 1.12,
"learning_rate": 1.880437288023972e-05,
"loss": 0.5349,
"step": 34000
},
{
"epoch": 1.12,
"eval_exact_match": 5.4,
"eval_f1": 23.2951,
"eval_gen_len": 5.744,
"eval_loss": 0.517284631729126,
"eval_rouge1": 28.0046,
"eval_rouge2": 12.2802,
"eval_rougeL": 28.0025,
"eval_rougeLsum": 27.9706,
"eval_runtime": 75.9315,
"eval_samples_per_second": 13.17,
"eval_steps_per_second": 4.399,
"step": 34000
},
{
"epoch": 1.14,
"learning_rate": 1.8639731304949125e-05,
"loss": 0.4871,
"step": 34500
},
{
"epoch": 1.15,
"learning_rate": 1.8475089729658533e-05,
"loss": 0.541,
"step": 35000
},
{
"epoch": 1.17,
"learning_rate": 1.831044815436794e-05,
"loss": 0.5659,
"step": 35500
},
{
"epoch": 1.19,
"learning_rate": 1.814580657907735e-05,
"loss": 0.5231,
"step": 36000
},
{
"epoch": 1.19,
"eval_exact_match": 6.1,
"eval_f1": 23.2074,
"eval_gen_len": 5.814,
"eval_loss": 0.5330841541290283,
"eval_rouge1": 27.4091,
"eval_rouge2": 12.3926,
"eval_rougeL": 27.3466,
"eval_rougeLsum": 27.3708,
"eval_runtime": 77.6684,
"eval_samples_per_second": 12.875,
"eval_steps_per_second": 4.3,
"step": 36000
},
{
"epoch": 1.2,
"learning_rate": 1.7981165003786756e-05,
"loss": 0.5209,
"step": 36500
},
{
"epoch": 1.22,
"learning_rate": 1.7816523428496164e-05,
"loss": 0.5561,
"step": 37000
},
{
"epoch": 1.23,
"learning_rate": 1.7651881853205572e-05,
"loss": 0.5269,
"step": 37500
},
{
"epoch": 1.25,
"learning_rate": 1.748724027791498e-05,
"loss": 0.5144,
"step": 38000
},
{
"epoch": 1.25,
"eval_exact_match": 6.6,
"eval_f1": 22.9561,
"eval_gen_len": 5.764,
"eval_loss": 0.533650815486908,
"eval_rouge1": 27.7074,
"eval_rouge2": 12.5122,
"eval_rougeL": 27.6729,
"eval_rougeLsum": 27.6909,
"eval_runtime": 76.8102,
"eval_samples_per_second": 13.019,
"eval_steps_per_second": 4.348,
"step": 38000
},
{
"epoch": 1.27,
"learning_rate": 1.7322598702624387e-05,
"loss": 0.4877,
"step": 38500
},
{
"epoch": 1.28,
"learning_rate": 1.7157957127333795e-05,
"loss": 0.5182,
"step": 39000
},
{
"epoch": 1.3,
"learning_rate": 1.6993315552043203e-05,
"loss": 0.4982,
"step": 39500
},
{
"epoch": 1.32,
"learning_rate": 1.682867397675261e-05,
"loss": 0.5576,
"step": 40000
},
{
"epoch": 1.32,
"eval_exact_match": 7.0,
"eval_f1": 22.646,
"eval_gen_len": 5.801,
"eval_loss": 0.5152503848075867,
"eval_rouge1": 27.8201,
"eval_rouge2": 12.335,
"eval_rougeL": 27.806,
"eval_rougeLsum": 27.7887,
"eval_runtime": 77.4695,
"eval_samples_per_second": 12.908,
"eval_steps_per_second": 4.311,
"step": 40000
},
{
"epoch": 1.33,
"learning_rate": 1.666403240146202e-05,
"loss": 0.5032,
"step": 40500
},
{
"epoch": 1.35,
"learning_rate": 1.6499390826171423e-05,
"loss": 0.5397,
"step": 41000
},
{
"epoch": 1.37,
"learning_rate": 1.633474925088083e-05,
"loss": 0.4944,
"step": 41500
},
{
"epoch": 1.38,
"learning_rate": 1.617010767559024e-05,
"loss": 0.5184,
"step": 42000
},
{
"epoch": 1.38,
"eval_exact_match": 4.8,
"eval_f1": 23.3492,
"eval_gen_len": 5.988,
"eval_loss": 0.5299638509750366,
"eval_rouge1": 28.1638,
"eval_rouge2": 12.5269,
"eval_rougeL": 28.1245,
"eval_rougeLsum": 28.1199,
"eval_runtime": 77.8204,
"eval_samples_per_second": 12.85,
"eval_steps_per_second": 4.292,
"step": 42000
},
{
"epoch": 1.4,
"learning_rate": 1.600546610029965e-05,
"loss": 0.488,
"step": 42500
},
{
"epoch": 1.42,
"learning_rate": 1.5840824525009057e-05,
"loss": 0.5176,
"step": 43000
},
{
"epoch": 1.43,
"learning_rate": 1.5676182949718465e-05,
"loss": 0.4941,
"step": 43500
},
{
"epoch": 1.45,
"learning_rate": 1.5511541374427873e-05,
"loss": 0.5321,
"step": 44000
},
{
"epoch": 1.45,
"eval_exact_match": 5.2,
"eval_f1": 23.1651,
"eval_gen_len": 5.997,
"eval_loss": 0.5239735245704651,
"eval_rouge1": 27.9328,
"eval_rouge2": 12.5264,
"eval_rougeL": 27.9238,
"eval_rougeLsum": 27.9206,
"eval_runtime": 78.5078,
"eval_samples_per_second": 12.738,
"eval_steps_per_second": 4.254,
"step": 44000
},
{
"epoch": 1.47,
"learning_rate": 1.5346899799137277e-05,
"loss": 0.5,
"step": 44500
},
{
"epoch": 1.48,
"learning_rate": 1.5182258223846685e-05,
"loss": 0.5279,
"step": 45000
},
{
"epoch": 1.5,
"learning_rate": 1.5017616648556093e-05,
"loss": 0.5223,
"step": 45500
},
{
"epoch": 1.51,
"learning_rate": 1.4852975073265502e-05,
"loss": 0.478,
"step": 46000
},
{
"epoch": 1.51,
"eval_exact_match": 6.4,
"eval_f1": 22.7142,
"eval_gen_len": 5.824,
"eval_loss": 0.5349439382553101,
"eval_rouge1": 27.9589,
"eval_rouge2": 12.5606,
"eval_rougeL": 27.902,
"eval_rougeLsum": 27.8978,
"eval_runtime": 76.8435,
"eval_samples_per_second": 13.013,
"eval_steps_per_second": 4.346,
"step": 46000
},
{
"epoch": 1.53,
"learning_rate": 1.4688333497974908e-05,
"loss": 0.482,
"step": 46500
},
{
"epoch": 1.55,
"learning_rate": 1.4523691922684316e-05,
"loss": 0.5004,
"step": 47000
},
{
"epoch": 1.56,
"learning_rate": 1.4359050347393724e-05,
"loss": 0.5482,
"step": 47500
},
{
"epoch": 1.58,
"learning_rate": 1.4194408772103133e-05,
"loss": 0.497,
"step": 48000
},
{
"epoch": 1.58,
"eval_exact_match": 5.5,
"eval_f1": 22.6861,
"eval_gen_len": 5.864,
"eval_loss": 0.5399107933044434,
"eval_rouge1": 28.2327,
"eval_rouge2": 12.5728,
"eval_rougeL": 28.1968,
"eval_rougeLsum": 28.21,
"eval_runtime": 77.9,
"eval_samples_per_second": 12.837,
"eval_steps_per_second": 4.288,
"step": 48000
},
{
"epoch": 1.6,
"learning_rate": 1.4029767196812539e-05,
"loss": 0.4476,
"step": 48500
},
{
"epoch": 1.61,
"learning_rate": 1.3865125621521947e-05,
"loss": 0.5754,
"step": 49000
},
{
"epoch": 1.63,
"learning_rate": 1.3700484046231355e-05,
"loss": 0.5296,
"step": 49500
},
{
"epoch": 1.65,
"learning_rate": 1.3535842470940762e-05,
"loss": 0.5475,
"step": 50000
},
{
"epoch": 1.65,
"eval_exact_match": 8.0,
"eval_f1": 22.2882,
"eval_gen_len": 5.651,
"eval_loss": 0.5568350553512573,
"eval_rouge1": 27.6,
"eval_rouge2": 12.259,
"eval_rougeL": 27.6081,
"eval_rougeLsum": 27.561,
"eval_runtime": 76.4106,
"eval_samples_per_second": 13.087,
"eval_steps_per_second": 4.371,
"step": 50000
},
{
"epoch": 1.66,
"learning_rate": 1.337120089565017e-05,
"loss": 0.492,
"step": 50500
},
{
"epoch": 1.68,
"learning_rate": 1.3206559320359578e-05,
"loss": 0.5221,
"step": 51000
},
{
"epoch": 1.7,
"learning_rate": 1.3041917745068984e-05,
"loss": 0.5491,
"step": 51500
},
{
"epoch": 1.71,
"learning_rate": 1.2877276169778392e-05,
"loss": 0.4643,
"step": 52000
},
{
"epoch": 1.71,
"eval_exact_match": 8.9,
"eval_f1": 21.3228,
"eval_gen_len": 5.566,
"eval_loss": 0.5837388038635254,
"eval_rouge1": 27.0269,
"eval_rouge2": 11.9442,
"eval_rougeL": 27.0247,
"eval_rougeLsum": 26.9566,
"eval_runtime": 76.2944,
"eval_samples_per_second": 13.107,
"eval_steps_per_second": 4.378,
"step": 52000
},
{
"epoch": 1.73,
"learning_rate": 1.2712634594487801e-05,
"loss": 0.5079,
"step": 52500
},
{
"epoch": 1.75,
"learning_rate": 1.2547993019197209e-05,
"loss": 0.4905,
"step": 53000
},
{
"epoch": 1.76,
"learning_rate": 1.2383351443906615e-05,
"loss": 0.4939,
"step": 53500
},
{
"epoch": 1.78,
"learning_rate": 1.2218709868616023e-05,
"loss": 0.5333,
"step": 54000
},
{
"epoch": 1.78,
"eval_exact_match": 5.5,
"eval_f1": 23.1489,
"eval_gen_len": 5.764,
"eval_loss": 0.5246403813362122,
"eval_rouge1": 27.9369,
"eval_rouge2": 12.2044,
"eval_rougeL": 27.8886,
"eval_rougeLsum": 27.9162,
"eval_runtime": 76.3987,
"eval_samples_per_second": 13.089,
"eval_steps_per_second": 4.372,
"step": 54000
},
{
"epoch": 1.79,
"learning_rate": 1.2054068293325432e-05,
"loss": 0.5067,
"step": 54500
},
{
"epoch": 1.81,
"learning_rate": 1.1889426718034838e-05,
"loss": 0.4915,
"step": 55000
},
{
"epoch": 1.83,
"learning_rate": 1.1724785142744246e-05,
"loss": 0.4855,
"step": 55500
},
{
"epoch": 1.84,
"learning_rate": 1.1560143567453654e-05,
"loss": 0.5356,
"step": 56000
},
{
"epoch": 1.84,
"eval_exact_match": 7.5,
"eval_f1": 21.9492,
"eval_gen_len": 5.628,
"eval_loss": 0.559809684753418,
"eval_rouge1": 27.8669,
"eval_rouge2": 12.3269,
"eval_rougeL": 27.8231,
"eval_rougeLsum": 27.8187,
"eval_runtime": 75.9003,
"eval_samples_per_second": 13.175,
"eval_steps_per_second": 4.401,
"step": 56000
},
{
"epoch": 1.86,
"learning_rate": 1.1395501992163061e-05,
"loss": 0.5376,
"step": 56500
},
{
"epoch": 1.88,
"learning_rate": 1.123086041687247e-05,
"loss": 0.5152,
"step": 57000
},
{
"epoch": 1.89,
"learning_rate": 1.1066218841581877e-05,
"loss": 0.5355,
"step": 57500
},
{
"epoch": 1.91,
"learning_rate": 1.0901577266291283e-05,
"loss": 0.5154,
"step": 58000
},
{
"epoch": 1.91,
"eval_exact_match": 5.5,
"eval_f1": 22.8791,
"eval_gen_len": 5.859,
"eval_loss": 0.5113182663917542,
"eval_rouge1": 28.1362,
"eval_rouge2": 12.2055,
"eval_rougeL": 28.0813,
"eval_rougeLsum": 28.0901,
"eval_runtime": 78.3738,
"eval_samples_per_second": 12.759,
"eval_steps_per_second": 4.262,
"step": 58000
},
{
"epoch": 1.93,
"learning_rate": 1.073693569100069e-05,
"loss": 0.5391,
"step": 58500
},
{
"epoch": 1.94,
"learning_rate": 1.05722941157101e-05,
"loss": 0.4996,
"step": 59000
},
{
"epoch": 1.96,
"learning_rate": 1.0407652540419508e-05,
"loss": 0.5221,
"step": 59500
},
{
"epoch": 1.98,
"learning_rate": 1.0243010965128914e-05,
"loss": 0.4974,
"step": 60000
},
{
"epoch": 1.98,
"eval_exact_match": 7.7,
"eval_f1": 22.1627,
"eval_gen_len": 5.622,
"eval_loss": 0.529927670955658,
"eval_rouge1": 27.4181,
"eval_rouge2": 11.8982,
"eval_rougeL": 27.3595,
"eval_rougeLsum": 27.362,
"eval_runtime": 76.1366,
"eval_samples_per_second": 13.134,
"eval_steps_per_second": 4.387,
"step": 60000
},
{
"epoch": 1.99,
"learning_rate": 1.0078369389838322e-05,
"loss": 0.4769,
"step": 60500
},
{
"epoch": 2.01,
"learning_rate": 9.913727814547731e-06,
"loss": 0.5019,
"step": 61000
},
{
"epoch": 2.03,
"learning_rate": 9.749086239257137e-06,
"loss": 0.4819,
"step": 61500
},
{
"epoch": 2.04,
"learning_rate": 9.584444663966545e-06,
"loss": 0.4368,
"step": 62000
},
{
"epoch": 2.04,
"eval_exact_match": 4.9,
"eval_f1": 23.2707,
"eval_gen_len": 5.85,
"eval_loss": 0.533755362033844,
"eval_rouge1": 28.3591,
"eval_rouge2": 12.5844,
"eval_rougeL": 28.2897,
"eval_rougeLsum": 28.3187,
"eval_runtime": 77.3013,
"eval_samples_per_second": 12.936,
"eval_steps_per_second": 4.321,
"step": 62000
},
{
"epoch": 2.06,
"learning_rate": 9.419803088675953e-06,
"loss": 0.5444,
"step": 62500
},
{
"epoch": 2.07,
"learning_rate": 9.255161513385359e-06,
"loss": 0.4618,
"step": 63000
},
{
"epoch": 2.09,
"learning_rate": 9.090519938094768e-06,
"loss": 0.4942,
"step": 63500
},
{
"epoch": 2.11,
"learning_rate": 8.925878362804176e-06,
"loss": 0.4685,
"step": 64000
},
{
"epoch": 2.11,
"eval_exact_match": 5.4,
"eval_f1": 23.1173,
"eval_gen_len": 5.868,
"eval_loss": 0.5359737277030945,
"eval_rouge1": 28.1371,
"eval_rouge2": 12.7219,
"eval_rougeL": 28.0627,
"eval_rougeLsum": 28.1156,
"eval_runtime": 77.0613,
"eval_samples_per_second": 12.977,
"eval_steps_per_second": 4.334,
"step": 64000
},
{
"epoch": 2.12,
"learning_rate": 8.761236787513582e-06,
"loss": 0.4914,
"step": 64500
},
{
"epoch": 2.14,
"learning_rate": 8.59659521222299e-06,
"loss": 0.519,
"step": 65000
},
{
"epoch": 2.16,
"learning_rate": 8.4319536369324e-06,
"loss": 0.4865,
"step": 65500
},
{
"epoch": 2.17,
"learning_rate": 8.267312061641807e-06,
"loss": 0.4889,
"step": 66000
},
{
"epoch": 2.17,
"eval_exact_match": 5.8,
"eval_f1": 23.0678,
"eval_gen_len": 5.791,
"eval_loss": 0.550064206123352,
"eval_rouge1": 28.0394,
"eval_rouge2": 12.3157,
"eval_rougeL": 27.9714,
"eval_rougeLsum": 27.9793,
"eval_runtime": 76.4779,
"eval_samples_per_second": 13.076,
"eval_steps_per_second": 4.367,
"step": 66000
},
{
"epoch": 2.19,
"learning_rate": 8.102670486351213e-06,
"loss": 0.4684,
"step": 66500
},
{
"epoch": 2.21,
"learning_rate": 7.938028911060621e-06,
"loss": 0.4699,
"step": 67000
},
{
"epoch": 2.22,
"learning_rate": 7.773387335770029e-06,
"loss": 0.5216,
"step": 67500
},
{
"epoch": 2.24,
"learning_rate": 7.608745760479437e-06,
"loss": 0.4384,
"step": 68000
},
{
"epoch": 2.24,
"eval_exact_match": 5.4,
"eval_f1": 23.1485,
"eval_gen_len": 5.799,
"eval_loss": 0.5489073991775513,
"eval_rouge1": 28.3405,
"eval_rouge2": 12.6721,
"eval_rougeL": 28.3062,
"eval_rougeLsum": 28.3124,
"eval_runtime": 76.6915,
"eval_samples_per_second": 13.039,
"eval_steps_per_second": 4.355,
"step": 68000
},
{
"epoch": 2.26,
"learning_rate": 7.444104185188844e-06,
"loss": 0.48,
"step": 68500
},
{
"epoch": 2.27,
"learning_rate": 7.279462609898251e-06,
"loss": 0.4582,
"step": 69000
},
{
"epoch": 2.29,
"learning_rate": 7.11482103460766e-06,
"loss": 0.4575,
"step": 69500
},
{
"epoch": 2.3,
"learning_rate": 6.9501794593170666e-06,
"loss": 0.4588,
"step": 70000
},
{
"epoch": 2.3,
"eval_exact_match": 5.6,
"eval_f1": 23.2198,
"eval_gen_len": 5.809,
"eval_loss": 0.5535086393356323,
"eval_rouge1": 28.2308,
"eval_rouge2": 12.4573,
"eval_rougeL": 28.1886,
"eval_rougeLsum": 28.1639,
"eval_runtime": 76.7297,
"eval_samples_per_second": 13.033,
"eval_steps_per_second": 4.353,
"step": 70000
},
{
"epoch": 2.32,
"learning_rate": 6.785537884026475e-06,
"loss": 0.4737,
"step": 70500
},
{
"epoch": 2.34,
"learning_rate": 6.620896308735882e-06,
"loss": 0.4799,
"step": 71000
},
{
"epoch": 2.35,
"learning_rate": 6.45625473344529e-06,
"loss": 0.4545,
"step": 71500
},
{
"epoch": 2.37,
"learning_rate": 6.2916131581546976e-06,
"loss": 0.5076,
"step": 72000
},
{
"epoch": 2.37,
"eval_exact_match": 6.7,
"eval_f1": 22.6072,
"eval_gen_len": 5.739,
"eval_loss": 0.5515512824058533,
"eval_rouge1": 28.0709,
"eval_rouge2": 12.4522,
"eval_rougeL": 27.9586,
"eval_rougeLsum": 27.9825,
"eval_runtime": 76.3124,
"eval_samples_per_second": 13.104,
"eval_steps_per_second": 4.377,
"step": 72000
},
{
"epoch": 2.39,
"learning_rate": 6.126971582864105e-06,
"loss": 0.442,
"step": 72500
},
{
"epoch": 2.4,
"learning_rate": 5.962330007573513e-06,
"loss": 0.4464,
"step": 73000
},
{
"epoch": 2.42,
"learning_rate": 5.79768843228292e-06,
"loss": 0.4756,
"step": 73500
},
{
"epoch": 2.44,
"learning_rate": 5.633046856992328e-06,
"loss": 0.4467,
"step": 74000
},
{
"epoch": 2.44,
"eval_exact_match": 5.2,
"eval_f1": 22.9357,
"eval_gen_len": 5.876,
"eval_loss": 0.5473840832710266,
"eval_rouge1": 28.2468,
"eval_rouge2": 12.4971,
"eval_rougeL": 28.1601,
"eval_rougeLsum": 28.1898,
"eval_runtime": 77.1004,
"eval_samples_per_second": 12.97,
"eval_steps_per_second": 4.332,
"step": 74000
},
{
"epoch": 2.45,
"learning_rate": 5.4684052817017355e-06,
"loss": 0.5136,
"step": 74500
},
{
"epoch": 2.47,
"learning_rate": 5.303763706411143e-06,
"loss": 0.4626,
"step": 75000
},
{
"epoch": 2.49,
"learning_rate": 5.13912213112055e-06,
"loss": 0.5138,
"step": 75500
},
{
"epoch": 2.5,
"learning_rate": 4.974480555829959e-06,
"loss": 0.4262,
"step": 76000
},
{
"epoch": 2.5,
"eval_exact_match": 5.5,
"eval_f1": 23.0092,
"eval_gen_len": 5.883,
"eval_loss": 0.5560488700866699,
"eval_rouge1": 28.3505,
"eval_rouge2": 12.633,
"eval_rougeL": 28.2747,
"eval_rougeLsum": 28.2859,
"eval_runtime": 77.2929,
"eval_samples_per_second": 12.938,
"eval_steps_per_second": 4.321,
"step": 76000
},
{
"epoch": 2.52,
"learning_rate": 4.809838980539366e-06,
"loss": 0.4773,
"step": 76500
},
{
"epoch": 2.54,
"learning_rate": 4.645197405248774e-06,
"loss": 0.4813,
"step": 77000
},
{
"epoch": 2.55,
"learning_rate": 4.480555829958181e-06,
"loss": 0.4833,
"step": 77500
},
{
"epoch": 2.57,
"learning_rate": 4.315914254667588e-06,
"loss": 0.4812,
"step": 78000
},
{
"epoch": 2.57,
"eval_exact_match": 5.5,
"eval_f1": 23.0871,
"eval_gen_len": 5.812,
"eval_loss": 0.5406239032745361,
"eval_rouge1": 28.1686,
"eval_rouge2": 12.4512,
"eval_rougeL": 28.1366,
"eval_rougeLsum": 28.1438,
"eval_runtime": 76.6212,
"eval_samples_per_second": 13.051,
"eval_steps_per_second": 4.359,
"step": 78000
},
{
"epoch": 2.58,
"learning_rate": 4.151272679376997e-06,
"loss": 0.4662,
"step": 78500
},
{
"epoch": 2.6,
"learning_rate": 3.9866311040864035e-06,
"loss": 0.4939,
"step": 79000
},
{
"epoch": 2.62,
"learning_rate": 3.821989528795812e-06,
"loss": 0.5221,
"step": 79500
},
{
"epoch": 2.63,
"learning_rate": 3.6573479535052195e-06,
"loss": 0.4243,
"step": 80000
},
{
"epoch": 2.63,
"eval_exact_match": 5.2,
"eval_f1": 22.7384,
"eval_gen_len": 5.908,
"eval_loss": 0.5526044964790344,
"eval_rouge1": 28.0823,
"eval_rouge2": 12.5204,
"eval_rougeL": 28.0028,
"eval_rougeLsum": 28.0533,
"eval_runtime": 77.3998,
"eval_samples_per_second": 12.92,
"eval_steps_per_second": 4.315,
"step": 80000
},
{
"epoch": 2.65,
"learning_rate": 3.492706378214627e-06,
"loss": 0.4704,
"step": 80500
},
{
"epoch": 2.67,
"learning_rate": 3.328064802924034e-06,
"loss": 0.4731,
"step": 81000
},
{
"epoch": 2.68,
"learning_rate": 3.163423227633442e-06,
"loss": 0.4775,
"step": 81500
},
{
"epoch": 2.7,
"learning_rate": 2.9987816523428496e-06,
"loss": 0.4828,
"step": 82000
},
{
"epoch": 2.7,
"eval_exact_match": 6.7,
"eval_f1": 22.2536,
"eval_gen_len": 5.75,
"eval_loss": 0.5606855154037476,
"eval_rouge1": 27.9073,
"eval_rouge2": 12.4149,
"eval_rougeL": 27.8389,
"eval_rougeLsum": 27.8483,
"eval_runtime": 76.3805,
"eval_samples_per_second": 13.092,
"eval_steps_per_second": 4.373,
"step": 82000
},
{
"epoch": 2.72,
"learning_rate": 2.8341400770522574e-06,
"loss": 0.4479,
"step": 82500
},
{
"epoch": 2.73,
"learning_rate": 2.669498501761665e-06,
"loss": 0.4923,
"step": 83000
},
{
"epoch": 2.75,
"learning_rate": 2.5048569264710725e-06,
"loss": 0.5143,
"step": 83500
},
{
"epoch": 2.77,
"learning_rate": 2.3402153511804802e-06,
"loss": 0.4827,
"step": 84000
},
{
"epoch": 2.77,
"eval_exact_match": 4.8,
"eval_f1": 23.1203,
"eval_gen_len": 5.883,
"eval_loss": 0.5355603694915771,
"eval_rouge1": 28.5515,
"eval_rouge2": 12.5974,
"eval_rougeL": 28.4917,
"eval_rougeLsum": 28.4884,
"eval_runtime": 77.1315,
"eval_samples_per_second": 12.965,
"eval_steps_per_second": 4.33,
"step": 84000
},
{
"epoch": 2.78,
"learning_rate": 2.175573775889888e-06,
"loss": 0.453,
"step": 84500
},
{
"epoch": 2.8,
"learning_rate": 2.0109322005992957e-06,
"loss": 0.4689,
"step": 85000
},
{
"epoch": 2.82,
"learning_rate": 1.846290625308703e-06,
"loss": 0.4628,
"step": 85500
},
{
"epoch": 2.83,
"learning_rate": 1.6816490500181106e-06,
"loss": 0.4599,
"step": 86000
},
{
"epoch": 2.83,
"eval_exact_match": 6.0,
"eval_f1": 22.775,
"eval_gen_len": 5.75,
"eval_loss": 0.5486857891082764,
"eval_rouge1": 28.1728,
"eval_rouge2": 12.3968,
"eval_rougeL": 28.1105,
"eval_rougeLsum": 28.1316,
"eval_runtime": 76.2649,
"eval_samples_per_second": 13.112,
"eval_steps_per_second": 4.379,
"step": 86000
},
{
"epoch": 2.85,
"learning_rate": 1.5170074747275183e-06,
"loss": 0.4783,
"step": 86500
},
{
"epoch": 2.86,
"learning_rate": 1.3523658994369257e-06,
"loss": 0.4793,
"step": 87000
},
{
"epoch": 2.88,
"learning_rate": 1.1877243241463334e-06,
"loss": 0.4457,
"step": 87500
},
{
"epoch": 2.9,
"learning_rate": 1.0230827488557412e-06,
"loss": 0.4505,
"step": 88000
},
{
"epoch": 2.9,
"eval_exact_match": 5.3,
"eval_f1": 23.063,
"eval_gen_len": 5.832,
"eval_loss": 0.5459786057472229,
"eval_rouge1": 28.381,
"eval_rouge2": 12.6567,
"eval_rougeL": 28.3519,
"eval_rougeLsum": 28.3424,
"eval_runtime": 76.7382,
"eval_samples_per_second": 13.031,
"eval_steps_per_second": 4.352,
"step": 88000
},
{
"epoch": 2.91,
"learning_rate": 8.584411735651487e-07,
"loss": 0.4594,
"step": 88500
},
{
"epoch": 2.93,
"learning_rate": 6.937995982745563e-07,
"loss": 0.4719,
"step": 89000
},
{
"epoch": 2.95,
"learning_rate": 5.291580229839639e-07,
"loss": 0.4538,
"step": 89500
},
{
"epoch": 2.96,
"learning_rate": 3.6451644769337155e-07,
"loss": 0.4741,
"step": 90000
},
{
"epoch": 2.96,
"eval_exact_match": 5.3,
"eval_f1": 23.0565,
"eval_gen_len": 5.819,
"eval_loss": 0.5445623993873596,
"eval_rouge1": 28.2709,
"eval_rouge2": 12.4988,
"eval_rougeL": 28.1962,
"eval_rougeLsum": 28.2203,
"eval_runtime": 76.5919,
"eval_samples_per_second": 13.056,
"eval_steps_per_second": 4.361,
"step": 90000
},
{
"epoch": 2.98,
"learning_rate": 1.9987487240277914e-07,
"loss": 0.441,
"step": 90500
},
{
"epoch": 3.0,
"learning_rate": 3.5233297112186775e-08,
"loss": 0.4993,
"step": 91000
},
{
"epoch": 3.0,
"step": 91107,
"total_flos": 1.4035529182858445e+17,
"train_loss": 0.5681342689636171,
"train_runtime": 25047.2432,
"train_samples_per_second": 10.912,
"train_steps_per_second": 3.637
}
],
"max_steps": 91107,
"num_train_epochs": 3,
"total_flos": 1.4035529182858445e+17,
"trial_name": null,
"trial_params": null
}