beto-mulanSDS-esp-mchoice / trainer_state.json
portega's picture
Upload folder using huggingface_hub
e7b7d8b
{
"best_metric": 0.7570347785949707,
"best_model_checkpoint": "beto-mulanSDS-esp-mchoice/checkpoint-95184",
"epoch": 2.0,
"global_step": 95184,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.973735081526307e-05,
"loss": 1.0962,
"step": 500
},
{
"epoch": 0.02,
"learning_rate": 4.947470163052614e-05,
"loss": 0.9714,
"step": 1000
},
{
"epoch": 0.03,
"learning_rate": 4.921205244578921e-05,
"loss": 0.9612,
"step": 1500
},
{
"epoch": 0.04,
"learning_rate": 4.894940326105228e-05,
"loss": 0.9123,
"step": 2000
},
{
"epoch": 0.05,
"learning_rate": 4.868675407631535e-05,
"loss": 0.8874,
"step": 2500
},
{
"epoch": 0.06,
"learning_rate": 4.842410489157842e-05,
"loss": 0.8928,
"step": 3000
},
{
"epoch": 0.07,
"learning_rate": 4.816145570684149e-05,
"loss": 0.8706,
"step": 3500
},
{
"epoch": 0.08,
"learning_rate": 4.7898806522104555e-05,
"loss": 0.8714,
"step": 4000
},
{
"epoch": 0.09,
"learning_rate": 4.7636157337367624e-05,
"loss": 0.886,
"step": 4500
},
{
"epoch": 0.11,
"learning_rate": 4.7373508152630694e-05,
"loss": 0.8701,
"step": 5000
},
{
"epoch": 0.12,
"learning_rate": 4.711085896789377e-05,
"loss": 0.841,
"step": 5500
},
{
"epoch": 0.13,
"learning_rate": 4.684820978315684e-05,
"loss": 0.817,
"step": 6000
},
{
"epoch": 0.14,
"learning_rate": 4.65855605984199e-05,
"loss": 0.8312,
"step": 6500
},
{
"epoch": 0.15,
"learning_rate": 4.632291141368297e-05,
"loss": 0.8249,
"step": 7000
},
{
"epoch": 0.16,
"learning_rate": 4.6060262228946046e-05,
"loss": 0.8095,
"step": 7500
},
{
"epoch": 0.17,
"learning_rate": 4.5797613044209115e-05,
"loss": 0.8356,
"step": 8000
},
{
"epoch": 0.18,
"learning_rate": 4.5534963859472184e-05,
"loss": 0.82,
"step": 8500
},
{
"epoch": 0.19,
"learning_rate": 4.527231467473525e-05,
"loss": 0.8038,
"step": 9000
},
{
"epoch": 0.2,
"learning_rate": 4.500966548999832e-05,
"loss": 0.8042,
"step": 9500
},
{
"epoch": 0.21,
"learning_rate": 4.474701630526139e-05,
"loss": 0.7926,
"step": 10000
},
{
"epoch": 0.22,
"learning_rate": 4.448436712052446e-05,
"loss": 0.8045,
"step": 10500
},
{
"epoch": 0.23,
"learning_rate": 4.422171793578753e-05,
"loss": 0.7923,
"step": 11000
},
{
"epoch": 0.24,
"learning_rate": 4.39590687510506e-05,
"loss": 0.8196,
"step": 11500
},
{
"epoch": 0.25,
"learning_rate": 4.369641956631367e-05,
"loss": 0.8151,
"step": 12000
},
{
"epoch": 0.26,
"learning_rate": 4.343377038157674e-05,
"loss": 0.7516,
"step": 12500
},
{
"epoch": 0.27,
"learning_rate": 4.3171121196839806e-05,
"loss": 0.7586,
"step": 13000
},
{
"epoch": 0.28,
"learning_rate": 4.2908472012102875e-05,
"loss": 0.7782,
"step": 13500
},
{
"epoch": 0.29,
"learning_rate": 4.2645822827365944e-05,
"loss": 0.7728,
"step": 14000
},
{
"epoch": 0.3,
"learning_rate": 4.2383173642629014e-05,
"loss": 0.782,
"step": 14500
},
{
"epoch": 0.32,
"learning_rate": 4.212052445789208e-05,
"loss": 0.7804,
"step": 15000
},
{
"epoch": 0.33,
"learning_rate": 4.185787527315516e-05,
"loss": 0.7705,
"step": 15500
},
{
"epoch": 0.34,
"learning_rate": 4.159522608841822e-05,
"loss": 0.7687,
"step": 16000
},
{
"epoch": 0.35,
"learning_rate": 4.133257690368129e-05,
"loss": 0.772,
"step": 16500
},
{
"epoch": 0.36,
"learning_rate": 4.106992771894436e-05,
"loss": 0.7656,
"step": 17000
},
{
"epoch": 0.37,
"learning_rate": 4.0807278534207435e-05,
"loss": 0.7603,
"step": 17500
},
{
"epoch": 0.38,
"learning_rate": 4.0544629349470504e-05,
"loss": 0.7927,
"step": 18000
},
{
"epoch": 0.39,
"learning_rate": 4.0281980164733566e-05,
"loss": 0.7649,
"step": 18500
},
{
"epoch": 0.4,
"learning_rate": 4.0019330979996636e-05,
"loss": 0.7714,
"step": 19000
},
{
"epoch": 0.41,
"learning_rate": 3.975668179525971e-05,
"loss": 0.7505,
"step": 19500
},
{
"epoch": 0.42,
"learning_rate": 3.949403261052278e-05,
"loss": 0.7597,
"step": 20000
},
{
"epoch": 0.43,
"learning_rate": 3.923138342578585e-05,
"loss": 0.752,
"step": 20500
},
{
"epoch": 0.44,
"learning_rate": 3.896873424104891e-05,
"loss": 0.744,
"step": 21000
},
{
"epoch": 0.45,
"learning_rate": 3.870608505631199e-05,
"loss": 0.7451,
"step": 21500
},
{
"epoch": 0.46,
"learning_rate": 3.844343587157506e-05,
"loss": 0.7809,
"step": 22000
},
{
"epoch": 0.47,
"learning_rate": 3.8180786686838126e-05,
"loss": 0.7694,
"step": 22500
},
{
"epoch": 0.48,
"learning_rate": 3.7918137502101195e-05,
"loss": 0.7728,
"step": 23000
},
{
"epoch": 0.49,
"learning_rate": 3.7655488317364264e-05,
"loss": 0.7607,
"step": 23500
},
{
"epoch": 0.5,
"learning_rate": 3.7392839132627334e-05,
"loss": 0.7481,
"step": 24000
},
{
"epoch": 0.51,
"learning_rate": 3.71301899478904e-05,
"loss": 0.7438,
"step": 24500
},
{
"epoch": 0.53,
"learning_rate": 3.686754076315347e-05,
"loss": 0.7502,
"step": 25000
},
{
"epoch": 0.54,
"learning_rate": 3.660489157841655e-05,
"loss": 0.7354,
"step": 25500
},
{
"epoch": 0.55,
"learning_rate": 3.634224239367961e-05,
"loss": 0.7971,
"step": 26000
},
{
"epoch": 0.56,
"learning_rate": 3.607959320894268e-05,
"loss": 0.7605,
"step": 26500
},
{
"epoch": 0.57,
"learning_rate": 3.581694402420575e-05,
"loss": 0.7513,
"step": 27000
},
{
"epoch": 0.58,
"learning_rate": 3.5554294839468824e-05,
"loss": 0.7515,
"step": 27500
},
{
"epoch": 0.59,
"learning_rate": 3.529164565473189e-05,
"loss": 0.7228,
"step": 28000
},
{
"epoch": 0.6,
"learning_rate": 3.5028996469994956e-05,
"loss": 0.7596,
"step": 28500
},
{
"epoch": 0.61,
"learning_rate": 3.4766347285258025e-05,
"loss": 0.7645,
"step": 29000
},
{
"epoch": 0.62,
"learning_rate": 3.45036981005211e-05,
"loss": 0.7634,
"step": 29500
},
{
"epoch": 0.63,
"learning_rate": 3.424104891578417e-05,
"loss": 0.7581,
"step": 30000
},
{
"epoch": 0.64,
"learning_rate": 3.397839973104724e-05,
"loss": 0.7504,
"step": 30500
},
{
"epoch": 0.65,
"learning_rate": 3.37157505463103e-05,
"loss": 0.7309,
"step": 31000
},
{
"epoch": 0.66,
"learning_rate": 3.345310136157338e-05,
"loss": 0.7705,
"step": 31500
},
{
"epoch": 0.67,
"learning_rate": 3.3190452176836446e-05,
"loss": 0.777,
"step": 32000
},
{
"epoch": 0.68,
"learning_rate": 3.2927802992099515e-05,
"loss": 0.753,
"step": 32500
},
{
"epoch": 0.69,
"learning_rate": 3.2665153807362584e-05,
"loss": 0.7707,
"step": 33000
},
{
"epoch": 0.7,
"learning_rate": 3.2402504622625654e-05,
"loss": 0.7327,
"step": 33500
},
{
"epoch": 0.71,
"learning_rate": 3.213985543788872e-05,
"loss": 0.7693,
"step": 34000
},
{
"epoch": 0.72,
"learning_rate": 3.187720625315179e-05,
"loss": 0.7579,
"step": 34500
},
{
"epoch": 0.74,
"learning_rate": 3.161455706841486e-05,
"loss": 0.7581,
"step": 35000
},
{
"epoch": 0.75,
"learning_rate": 3.135190788367793e-05,
"loss": 0.77,
"step": 35500
},
{
"epoch": 0.76,
"learning_rate": 3.1089258698941e-05,
"loss": 0.7263,
"step": 36000
},
{
"epoch": 0.77,
"learning_rate": 3.082660951420407e-05,
"loss": 0.7478,
"step": 36500
},
{
"epoch": 0.78,
"learning_rate": 3.056396032946714e-05,
"loss": 0.7646,
"step": 37000
},
{
"epoch": 0.79,
"learning_rate": 3.030131114473021e-05,
"loss": 0.7408,
"step": 37500
},
{
"epoch": 0.8,
"learning_rate": 3.0038661959993276e-05,
"loss": 0.7101,
"step": 38000
},
{
"epoch": 0.81,
"learning_rate": 2.9776012775256345e-05,
"loss": 0.7487,
"step": 38500
},
{
"epoch": 0.82,
"learning_rate": 2.9513363590519417e-05,
"loss": 0.732,
"step": 39000
},
{
"epoch": 0.83,
"learning_rate": 2.9250714405782486e-05,
"loss": 0.7522,
"step": 39500
},
{
"epoch": 0.84,
"learning_rate": 2.898806522104556e-05,
"loss": 0.7193,
"step": 40000
},
{
"epoch": 0.85,
"learning_rate": 2.872541603630862e-05,
"loss": 0.7343,
"step": 40500
},
{
"epoch": 0.86,
"learning_rate": 2.8462766851571694e-05,
"loss": 0.7295,
"step": 41000
},
{
"epoch": 0.87,
"learning_rate": 2.8200117666834763e-05,
"loss": 0.7265,
"step": 41500
},
{
"epoch": 0.88,
"learning_rate": 2.7937468482097835e-05,
"loss": 0.7143,
"step": 42000
},
{
"epoch": 0.89,
"learning_rate": 2.7674819297360904e-05,
"loss": 0.6877,
"step": 42500
},
{
"epoch": 0.9,
"learning_rate": 2.741217011262397e-05,
"loss": 0.7043,
"step": 43000
},
{
"epoch": 0.91,
"learning_rate": 2.714952092788704e-05,
"loss": 0.7297,
"step": 43500
},
{
"epoch": 0.92,
"learning_rate": 2.6886871743150112e-05,
"loss": 0.7749,
"step": 44000
},
{
"epoch": 0.94,
"learning_rate": 2.662422255841318e-05,
"loss": 0.7227,
"step": 44500
},
{
"epoch": 0.95,
"learning_rate": 2.636157337367625e-05,
"loss": 0.709,
"step": 45000
},
{
"epoch": 0.96,
"learning_rate": 2.6098924188939316e-05,
"loss": 0.7258,
"step": 45500
},
{
"epoch": 0.97,
"learning_rate": 2.5836275004202388e-05,
"loss": 0.6954,
"step": 46000
},
{
"epoch": 0.98,
"learning_rate": 2.5573625819465457e-05,
"loss": 0.7173,
"step": 46500
},
{
"epoch": 0.99,
"learning_rate": 2.531097663472853e-05,
"loss": 0.713,
"step": 47000
},
{
"epoch": 1.0,
"learning_rate": 2.50483274499916e-05,
"loss": 0.7,
"step": 47500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7327029705047607,
"eval_loss": 0.7685355544090271,
"eval_runtime": 578.0716,
"eval_samples_per_second": 68.607,
"eval_steps_per_second": 11.435,
"step": 47592
},
{
"epoch": 1.01,
"learning_rate": 2.4785678265254668e-05,
"loss": 0.6245,
"step": 48000
},
{
"epoch": 1.02,
"learning_rate": 2.4523029080517734e-05,
"loss": 0.6892,
"step": 48500
},
{
"epoch": 1.03,
"learning_rate": 2.4260379895780806e-05,
"loss": 0.628,
"step": 49000
},
{
"epoch": 1.04,
"learning_rate": 2.3997730711043875e-05,
"loss": 0.6394,
"step": 49500
},
{
"epoch": 1.05,
"learning_rate": 2.3735081526306945e-05,
"loss": 0.6367,
"step": 50000
},
{
"epoch": 1.06,
"learning_rate": 2.3472432341570014e-05,
"loss": 0.6092,
"step": 50500
},
{
"epoch": 1.07,
"learning_rate": 2.3209783156833083e-05,
"loss": 0.6286,
"step": 51000
},
{
"epoch": 1.08,
"learning_rate": 2.2947133972096152e-05,
"loss": 0.6809,
"step": 51500
},
{
"epoch": 1.09,
"learning_rate": 2.268448478735922e-05,
"loss": 0.6185,
"step": 52000
},
{
"epoch": 1.1,
"learning_rate": 2.242183560262229e-05,
"loss": 0.578,
"step": 52500
},
{
"epoch": 1.11,
"learning_rate": 2.215918641788536e-05,
"loss": 0.6271,
"step": 53000
},
{
"epoch": 1.12,
"learning_rate": 2.189653723314843e-05,
"loss": 0.654,
"step": 53500
},
{
"epoch": 1.13,
"learning_rate": 2.16338880484115e-05,
"loss": 0.6708,
"step": 54000
},
{
"epoch": 1.15,
"learning_rate": 2.1371238863674567e-05,
"loss": 0.6218,
"step": 54500
},
{
"epoch": 1.16,
"learning_rate": 2.110858967893764e-05,
"loss": 0.6413,
"step": 55000
},
{
"epoch": 1.17,
"learning_rate": 2.0845940494200708e-05,
"loss": 0.6441,
"step": 55500
},
{
"epoch": 1.18,
"learning_rate": 2.0583291309463777e-05,
"loss": 0.6444,
"step": 56000
},
{
"epoch": 1.19,
"learning_rate": 2.0320642124726846e-05,
"loss": 0.6311,
"step": 56500
},
{
"epoch": 1.2,
"learning_rate": 2.0057992939989916e-05,
"loss": 0.5755,
"step": 57000
},
{
"epoch": 1.21,
"learning_rate": 1.9795343755252985e-05,
"loss": 0.6561,
"step": 57500
},
{
"epoch": 1.22,
"learning_rate": 1.9532694570516054e-05,
"loss": 0.6098,
"step": 58000
},
{
"epoch": 1.23,
"learning_rate": 1.9270045385779123e-05,
"loss": 0.6406,
"step": 58500
},
{
"epoch": 1.24,
"learning_rate": 1.9007396201042192e-05,
"loss": 0.6184,
"step": 59000
},
{
"epoch": 1.25,
"learning_rate": 1.874474701630526e-05,
"loss": 0.603,
"step": 59500
},
{
"epoch": 1.26,
"learning_rate": 1.848209783156833e-05,
"loss": 0.5957,
"step": 60000
},
{
"epoch": 1.27,
"learning_rate": 1.8219448646831403e-05,
"loss": 0.5994,
"step": 60500
},
{
"epoch": 1.28,
"learning_rate": 1.7956799462094472e-05,
"loss": 0.6365,
"step": 61000
},
{
"epoch": 1.29,
"learning_rate": 1.769415027735754e-05,
"loss": 0.6169,
"step": 61500
},
{
"epoch": 1.3,
"learning_rate": 1.743150109262061e-05,
"loss": 0.63,
"step": 62000
},
{
"epoch": 1.31,
"learning_rate": 1.716885190788368e-05,
"loss": 0.6202,
"step": 62500
},
{
"epoch": 1.32,
"learning_rate": 1.6906202723146748e-05,
"loss": 0.6016,
"step": 63000
},
{
"epoch": 1.33,
"learning_rate": 1.6643553538409817e-05,
"loss": 0.6026,
"step": 63500
},
{
"epoch": 1.34,
"learning_rate": 1.6380904353672887e-05,
"loss": 0.6037,
"step": 64000
},
{
"epoch": 1.36,
"learning_rate": 1.6118255168935956e-05,
"loss": 0.6282,
"step": 64500
},
{
"epoch": 1.37,
"learning_rate": 1.5855605984199025e-05,
"loss": 0.6208,
"step": 65000
},
{
"epoch": 1.38,
"learning_rate": 1.5592956799462094e-05,
"loss": 0.6094,
"step": 65500
},
{
"epoch": 1.39,
"learning_rate": 1.5330307614725163e-05,
"loss": 0.6494,
"step": 66000
},
{
"epoch": 1.4,
"learning_rate": 1.5067658429988235e-05,
"loss": 0.6306,
"step": 66500
},
{
"epoch": 1.41,
"learning_rate": 1.4805009245251303e-05,
"loss": 0.6054,
"step": 67000
},
{
"epoch": 1.42,
"learning_rate": 1.4542360060514374e-05,
"loss": 0.6126,
"step": 67500
},
{
"epoch": 1.43,
"learning_rate": 1.4279710875777441e-05,
"loss": 0.6283,
"step": 68000
},
{
"epoch": 1.44,
"learning_rate": 1.4017061691040512e-05,
"loss": 0.635,
"step": 68500
},
{
"epoch": 1.45,
"learning_rate": 1.3754412506303583e-05,
"loss": 0.6037,
"step": 69000
},
{
"epoch": 1.46,
"learning_rate": 1.349176332156665e-05,
"loss": 0.6232,
"step": 69500
},
{
"epoch": 1.47,
"learning_rate": 1.3229114136829721e-05,
"loss": 0.6044,
"step": 70000
},
{
"epoch": 1.48,
"learning_rate": 1.2966464952092788e-05,
"loss": 0.6094,
"step": 70500
},
{
"epoch": 1.49,
"learning_rate": 1.270381576735586e-05,
"loss": 0.5856,
"step": 71000
},
{
"epoch": 1.5,
"learning_rate": 1.2441166582618928e-05,
"loss": 0.6061,
"step": 71500
},
{
"epoch": 1.51,
"learning_rate": 1.2178517397881997e-05,
"loss": 0.571,
"step": 72000
},
{
"epoch": 1.52,
"learning_rate": 1.1915868213145067e-05,
"loss": 0.5986,
"step": 72500
},
{
"epoch": 1.53,
"learning_rate": 1.1653219028408137e-05,
"loss": 0.6136,
"step": 73000
},
{
"epoch": 1.54,
"learning_rate": 1.1390569843671207e-05,
"loss": 0.6133,
"step": 73500
},
{
"epoch": 1.55,
"learning_rate": 1.1127920658934276e-05,
"loss": 0.6026,
"step": 74000
},
{
"epoch": 1.57,
"learning_rate": 1.0865271474197345e-05,
"loss": 0.5867,
"step": 74500
},
{
"epoch": 1.58,
"learning_rate": 1.0602622289460414e-05,
"loss": 0.6146,
"step": 75000
},
{
"epoch": 1.59,
"learning_rate": 1.0339973104723485e-05,
"loss": 0.6087,
"step": 75500
},
{
"epoch": 1.6,
"learning_rate": 1.0077323919986554e-05,
"loss": 0.6133,
"step": 76000
},
{
"epoch": 1.61,
"learning_rate": 9.814674735249623e-06,
"loss": 0.5743,
"step": 76500
},
{
"epoch": 1.62,
"learning_rate": 9.552025550512692e-06,
"loss": 0.606,
"step": 77000
},
{
"epoch": 1.63,
"learning_rate": 9.289376365775761e-06,
"loss": 0.6097,
"step": 77500
},
{
"epoch": 1.64,
"learning_rate": 9.02672718103883e-06,
"loss": 0.5951,
"step": 78000
},
{
"epoch": 1.65,
"learning_rate": 8.764077996301901e-06,
"loss": 0.6024,
"step": 78500
},
{
"epoch": 1.66,
"learning_rate": 8.50142881156497e-06,
"loss": 0.5819,
"step": 79000
},
{
"epoch": 1.67,
"learning_rate": 8.23877962682804e-06,
"loss": 0.592,
"step": 79500
},
{
"epoch": 1.68,
"learning_rate": 7.976130442091108e-06,
"loss": 0.5664,
"step": 80000
},
{
"epoch": 1.69,
"learning_rate": 7.713481257354178e-06,
"loss": 0.6218,
"step": 80500
},
{
"epoch": 1.7,
"learning_rate": 7.4508320726172475e-06,
"loss": 0.5798,
"step": 81000
},
{
"epoch": 1.71,
"learning_rate": 7.188182887880317e-06,
"loss": 0.589,
"step": 81500
},
{
"epoch": 1.72,
"learning_rate": 6.925533703143386e-06,
"loss": 0.5907,
"step": 82000
},
{
"epoch": 1.73,
"learning_rate": 6.662884518406455e-06,
"loss": 0.593,
"step": 82500
},
{
"epoch": 1.74,
"learning_rate": 6.400235333669524e-06,
"loss": 0.5453,
"step": 83000
},
{
"epoch": 1.75,
"learning_rate": 6.137586148932594e-06,
"loss": 0.5838,
"step": 83500
},
{
"epoch": 1.77,
"learning_rate": 5.874936964195663e-06,
"loss": 0.585,
"step": 84000
},
{
"epoch": 1.78,
"learning_rate": 5.612287779458733e-06,
"loss": 0.6179,
"step": 84500
},
{
"epoch": 1.79,
"learning_rate": 5.349638594721802e-06,
"loss": 0.6065,
"step": 85000
},
{
"epoch": 1.8,
"learning_rate": 5.086989409984871e-06,
"loss": 0.55,
"step": 85500
},
{
"epoch": 1.81,
"learning_rate": 4.824340225247941e-06,
"loss": 0.6015,
"step": 86000
},
{
"epoch": 1.82,
"learning_rate": 4.56169104051101e-06,
"loss": 0.5786,
"step": 86500
},
{
"epoch": 1.83,
"learning_rate": 4.299041855774079e-06,
"loss": 0.5576,
"step": 87000
},
{
"epoch": 1.84,
"learning_rate": 4.036392671037149e-06,
"loss": 0.569,
"step": 87500
},
{
"epoch": 1.85,
"learning_rate": 3.7737434863002185e-06,
"loss": 0.5692,
"step": 88000
},
{
"epoch": 1.86,
"learning_rate": 3.5110943015632885e-06,
"loss": 0.5528,
"step": 88500
},
{
"epoch": 1.87,
"learning_rate": 3.2484451168263576e-06,
"loss": 0.5592,
"step": 89000
},
{
"epoch": 1.88,
"learning_rate": 2.985795932089427e-06,
"loss": 0.5756,
"step": 89500
},
{
"epoch": 1.89,
"learning_rate": 2.7231467473524962e-06,
"loss": 0.5845,
"step": 90000
},
{
"epoch": 1.9,
"learning_rate": 2.4604975626155658e-06,
"loss": 0.5619,
"step": 90500
},
{
"epoch": 1.91,
"learning_rate": 2.1978483778786353e-06,
"loss": 0.5945,
"step": 91000
},
{
"epoch": 1.92,
"learning_rate": 1.935199193141705e-06,
"loss": 0.5672,
"step": 91500
},
{
"epoch": 1.93,
"learning_rate": 1.672550008404774e-06,
"loss": 0.5588,
"step": 92000
},
{
"epoch": 1.94,
"learning_rate": 1.4099008236678435e-06,
"loss": 0.5619,
"step": 92500
},
{
"epoch": 1.95,
"learning_rate": 1.1472516389309128e-06,
"loss": 0.5772,
"step": 93000
},
{
"epoch": 1.96,
"learning_rate": 8.846024541939823e-07,
"loss": 0.5774,
"step": 93500
},
{
"epoch": 1.98,
"learning_rate": 6.219532694570517e-07,
"loss": 0.5765,
"step": 94000
},
{
"epoch": 1.99,
"learning_rate": 3.5930408472012103e-07,
"loss": 0.5612,
"step": 94500
},
{
"epoch": 2.0,
"learning_rate": 9.665489998319047e-08,
"loss": 0.6085,
"step": 95000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7570347785949707,
"eval_loss": 0.6955135464668274,
"eval_runtime": 589.2402,
"eval_samples_per_second": 67.307,
"eval_steps_per_second": 11.218,
"step": 95184
}
],
"max_steps": 95184,
"num_train_epochs": 2,
"total_flos": 1.2628160717770704e+17,
"trial_name": null,
"trial_params": null
}