{
  "best_metric": 0.23823951184749603,
  "best_model_checkpoint": "./distilbert-marian-training1/checkpoint-48000",
  "epoch": 10.0,
  "global_step": 160000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.03,
      "learning_rate": 6.212500000000001e-07,
      "loss": 0.1004,
      "step": 500
    },
    {
      "epoch": 0.06,
      "learning_rate": 1.2462500000000001e-06,
      "loss": 0.1263,
      "step": 1000
    },
    {
      "epoch": 0.09,
      "learning_rate": 1.8712500000000003e-06,
      "loss": 0.1256,
      "step": 1500
    },
    {
      "epoch": 0.12,
      "learning_rate": 2.4962500000000005e-06,
      "loss": 0.1014,
      "step": 2000
    },
    {
      "epoch": 0.16,
      "learning_rate": 3.12125e-06,
      "loss": 0.1124,
      "step": 2500
    },
    {
      "epoch": 0.19,
      "learning_rate": 3.7462500000000003e-06,
      "loss": 0.1479,
      "step": 3000
    },
    {
      "epoch": 0.22,
      "learning_rate": 4.37125e-06,
      "loss": 0.1206,
      "step": 3500
    },
    {
      "epoch": 0.25,
      "learning_rate": 4.9950000000000005e-06,
      "loss": 0.1157,
      "step": 4000
    },
    {
      "epoch": 0.28,
      "learning_rate": 5.620000000000001e-06,
      "loss": 0.1104,
      "step": 4500
    },
    {
      "epoch": 0.31,
      "learning_rate": 6.245000000000001e-06,
      "loss": 0.1329,
      "step": 5000
    },
    {
      "epoch": 0.34,
      "learning_rate": 6.870000000000001e-06,
      "loss": 0.1493,
      "step": 5500
    },
    {
      "epoch": 0.38,
      "learning_rate": 7.493750000000001e-06,
      "loss": 0.1359,
      "step": 6000
    },
    {
      "epoch": 0.41,
      "learning_rate": 8.11875e-06,
      "loss": 0.1326,
      "step": 6500
    },
    {
      "epoch": 0.44,
      "learning_rate": 8.74375e-06,
      "loss": 0.1488,
      "step": 7000
    },
    {
      "epoch": 0.47,
      "learning_rate": 9.3675e-06,
      "loss": 0.1719,
      "step": 7500
    },
    {
      "epoch": 0.5,
      "learning_rate": 9.992500000000001e-06,
      "loss": 0.1606,
      "step": 8000
    },
    {
      "epoch": 0.53,
      "learning_rate": 9.9675e-06,
      "loss": 0.1633,
      "step": 8500
    },
    {
      "epoch": 0.56,
      "learning_rate": 9.934605263157895e-06,
      "loss": 0.1358,
      "step": 9000
    },
    {
      "epoch": 0.59,
      "learning_rate": 9.90171052631579e-06,
      "loss": 0.1801,
      "step": 9500
    },
    {
      "epoch": 0.62,
      "learning_rate": 9.868815789473684e-06,
      "loss": 0.1531,
      "step": 10000
    },
    {
      "epoch": 0.66,
      "learning_rate": 9.835921052631579e-06,
      "loss": 0.185,
      "step": 10500
    },
    {
      "epoch": 0.69,
      "learning_rate": 9.803026315789475e-06,
      "loss": 0.1619,
      "step": 11000
    },
    {
      "epoch": 0.72,
      "learning_rate": 9.77013157894737e-06,
      "loss": 0.136,
      "step": 11500
    },
    {
      "epoch": 0.75,
      "learning_rate": 9.737302631578948e-06,
      "loss": 0.1712,
      "step": 12000
    },
    {
      "epoch": 0.78,
      "learning_rate": 9.704473684210527e-06,
      "loss": 0.1482,
      "step": 12500
    },
    {
      "epoch": 0.81,
      "learning_rate": 9.671578947368422e-06,
      "loss": 0.1849,
      "step": 13000
    },
    {
      "epoch": 0.84,
      "learning_rate": 9.638684210526316e-06,
      "loss": 0.1395,
      "step": 13500
    },
    {
      "epoch": 0.88,
      "learning_rate": 9.605789473684211e-06,
      "loss": 0.152,
      "step": 14000
    },
    {
      "epoch": 0.91,
      "learning_rate": 9.572894736842107e-06,
      "loss": 0.158,
      "step": 14500
    },
    {
      "epoch": 0.94,
      "learning_rate": 9.54e-06,
      "loss": 0.1458,
      "step": 15000
    },
    {
      "epoch": 0.97,
      "learning_rate": 9.507105263157895e-06,
      "loss": 0.1783,
      "step": 15500
    },
    {
      "epoch": 1.0,
      "learning_rate": 9.474210526315791e-06,
      "loss": 0.1681,
      "step": 16000
    },
    {
      "epoch": 1.0,
      "eval_BLEU": 72.24934811777383,
      "eval_BLEU-Bigram-Precision": 74.84708063021316,
      "eval_BLEU-Trigram-Precision": 68.90927624872579,
      "eval_BLEU-Unigram-Precision": 81.34860050890586,
      "eval_ROUGE-2": 75.2339725526462,
      "eval_ROUGE-L": 89.68424579231484,
      "eval_Sacre-Bigram-Precision": 73.79434037465126,
      "eval_Sacre-Trigram-Precision": 68.54019434628975,
      "eval_Sacre-Unigram-Precision": 80.34613990576295,
      "eval_SacreBLEU": 71.54791264346096,
      "eval_loss": 0.24808737635612488,
      "eval_runtime": 1428.7921,
      "eval_samples_per_second": 0.7,
      "eval_steps_per_second": 0.7,
      "step": 16000
    },
    {
      "epoch": 1.03,
      "learning_rate": 9.441315789473686e-06,
      "loss": 0.1191,
      "step": 16500
    },
    {
      "epoch": 1.06,
      "learning_rate": 9.408486842105265e-06,
      "loss": 0.1805,
      "step": 17000
    },
    {
      "epoch": 1.09,
      "learning_rate": 9.375592105263158e-06,
      "loss": 0.1555,
      "step": 17500
    },
    {
      "epoch": 1.12,
      "learning_rate": 9.342697368421053e-06,
      "loss": 0.1624,
      "step": 18000
    },
    {
      "epoch": 1.16,
      "learning_rate": 9.309802631578949e-06,
      "loss": 0.1512,
      "step": 18500
    },
    {
      "epoch": 1.19,
      "learning_rate": 9.276907894736843e-06,
      "loss": 0.159,
      "step": 19000
    },
    {
      "epoch": 1.22,
      "learning_rate": 9.244013157894738e-06,
      "loss": 0.133,
      "step": 19500
    },
    {
      "epoch": 1.25,
      "learning_rate": 9.211118421052633e-06,
      "loss": 0.1277,
      "step": 20000
    },
    {
      "epoch": 1.28,
      "learning_rate": 9.178223684210527e-06,
      "loss": 0.1622,
      "step": 20500
    },
    {
      "epoch": 1.31,
      "learning_rate": 9.145394736842107e-06,
      "loss": 0.1263,
      "step": 21000
    },
    {
      "epoch": 1.34,
      "learning_rate": 9.112565789473685e-06,
      "loss": 0.1463,
      "step": 21500
    },
    {
      "epoch": 1.38,
      "learning_rate": 9.079671052631581e-06,
      "loss": 0.1262,
      "step": 22000
    },
    {
      "epoch": 1.41,
      "learning_rate": 9.046776315789474e-06,
      "loss": 0.1825,
      "step": 22500
    },
    {
      "epoch": 1.44,
      "learning_rate": 9.013881578947368e-06,
      "loss": 0.1582,
      "step": 23000
    },
    {
      "epoch": 1.47,
      "learning_rate": 8.981052631578948e-06,
      "loss": 0.1307,
      "step": 23500
    },
    {
      "epoch": 1.5,
      "learning_rate": 8.948157894736843e-06,
      "loss": 0.1333,
      "step": 24000
    },
    {
      "epoch": 1.53,
      "learning_rate": 8.915263157894739e-06,
      "loss": 0.1462,
      "step": 24500
    },
    {
      "epoch": 1.56,
      "learning_rate": 8.882368421052632e-06,
      "loss": 0.1527,
      "step": 25000
    },
    {
      "epoch": 1.59,
      "learning_rate": 8.849473684210526e-06,
      "loss": 0.1388,
      "step": 25500
    },
    {
      "epoch": 1.62,
      "learning_rate": 8.81657894736842e-06,
      "loss": 0.1202,
      "step": 26000
    },
    {
      "epoch": 1.66,
      "learning_rate": 8.783684210526317e-06,
      "loss": 0.1144,
      "step": 26500
    },
    {
      "epoch": 1.69,
      "learning_rate": 8.750789473684212e-06,
      "loss": 0.119,
      "step": 27000
    },
    {
      "epoch": 1.72,
      "learning_rate": 8.717960526315791e-06,
      "loss": 0.1077,
      "step": 27500
    },
    {
      "epoch": 1.75,
      "learning_rate": 8.685065789473684e-06,
      "loss": 0.1226,
      "step": 28000
    },
    {
      "epoch": 1.78,
      "learning_rate": 8.652171052631579e-06,
      "loss": 0.1432,
      "step": 28500
    },
    {
      "epoch": 1.81,
      "learning_rate": 8.619276315789475e-06,
      "loss": 0.1415,
      "step": 29000
    },
    {
      "epoch": 1.84,
      "learning_rate": 8.58638157894737e-06,
      "loss": 0.1462,
      "step": 29500
    },
    {
      "epoch": 1.88,
      "learning_rate": 8.553552631578949e-06,
      "loss": 0.1162,
      "step": 30000
    },
    {
      "epoch": 1.91,
      "learning_rate": 8.520657894736842e-06,
      "loss": 0.1478,
      "step": 30500
    },
    {
      "epoch": 1.94,
      "learning_rate": 8.487763157894737e-06,
      "loss": 0.1861,
      "step": 31000
    },
    {
      "epoch": 1.97,
      "learning_rate": 8.454868421052633e-06,
      "loss": 0.1166,
      "step": 31500
    },
    {
      "epoch": 2.0,
      "learning_rate": 8.421973684210527e-06,
      "loss": 0.1209,
      "step": 32000
    },
    {
      "epoch": 2.0,
      "eval_BLEU": 77.2930486436819,
      "eval_BLEU-Bigram-Precision": 79.7232309353224,
      "eval_BLEU-Trigram-Precision": 74.12314040612445,
      "eval_BLEU-Unigram-Precision": 85.70024130842792,
      "eval_ROUGE-2": 76.44781505694336,
      "eval_ROUGE-L": 90.63044702330345,
      "eval_Sacre-Bigram-Precision": 78.87249177195031,
      "eval_Sacre-Trigram-Precision": 74.09645692617609,
      "eval_Sacre-Unigram-Precision": 84.96016892216143,
      "eval_SacreBLEU": 76.88465263390154,
      "eval_loss": 0.24807412922382355,
      "eval_runtime": 1016.4629,
      "eval_samples_per_second": 0.984,
      "eval_steps_per_second": 0.984,
      "step": 32000
    },
    {
      "epoch": 2.03,
      "learning_rate": 8.389078947368422e-06,
      "loss": 0.1208,
      "step": 32500
    },
    {
      "epoch": 2.06,
      "learning_rate": 8.356184210526316e-06,
      "loss": 0.1029,
      "step": 33000
    },
    {
      "epoch": 2.09,
      "learning_rate": 8.323355263157894e-06,
      "loss": 0.1046,
      "step": 33500
    },
    {
      "epoch": 2.12,
      "learning_rate": 8.290526315789474e-06,
      "loss": 0.1182,
      "step": 34000
    },
    {
      "epoch": 2.16,
      "learning_rate": 8.257631578947369e-06,
      "loss": 0.1045,
      "step": 34500
    },
    {
      "epoch": 2.19,
      "learning_rate": 8.224736842105265e-06,
      "loss": 0.0835,
      "step": 35000
    },
    {
      "epoch": 2.22,
      "learning_rate": 8.191842105263158e-06,
      "loss": 0.1486,
      "step": 35500
    },
    {
      "epoch": 2.25,
      "learning_rate": 8.158947368421052e-06,
      "loss": 0.1506,
      "step": 36000
    },
    {
      "epoch": 2.28,
      "learning_rate": 8.126052631578949e-06,
      "loss": 0.1248,
      "step": 36500
    },
    {
      "epoch": 2.31,
      "learning_rate": 8.093157894736843e-06,
      "loss": 0.0867,
      "step": 37000
    },
    {
      "epoch": 2.34,
      "learning_rate": 8.060263157894738e-06,
      "loss": 0.0927,
      "step": 37500
    },
    {
      "epoch": 2.38,
      "learning_rate": 8.027434210526317e-06,
      "loss": 0.1175,
      "step": 38000
    },
    {
      "epoch": 2.41,
      "learning_rate": 7.99453947368421e-06,
      "loss": 0.1003,
      "step": 38500
    },
    {
      "epoch": 2.44,
      "learning_rate": 7.961644736842106e-06,
      "loss": 0.1343,
      "step": 39000
    },
    {
      "epoch": 2.47,
      "learning_rate": 7.928750000000001e-06,
      "loss": 0.1368,
      "step": 39500
    },
    {
      "epoch": 2.5,
      "learning_rate": 7.89592105263158e-06,
      "loss": 0.1264,
      "step": 40000
    },
    {
      "epoch": 2.53,
      "learning_rate": 7.863026315789475e-06,
      "loss": 0.1269,
      "step": 40500
    },
    {
      "epoch": 2.56,
      "learning_rate": 7.830131578947368e-06,
      "loss": 0.1214,
      "step": 41000
    },
    {
      "epoch": 2.59,
      "learning_rate": 7.797236842105264e-06,
      "loss": 0.1248,
      "step": 41500
    },
    {
      "epoch": 2.62,
      "learning_rate": 7.764342105263159e-06,
      "loss": 0.1191,
      "step": 42000
    },
    {
      "epoch": 2.66,
      "learning_rate": 7.731513157894738e-06,
      "loss": 0.1247,
      "step": 42500
    },
    {
      "epoch": 2.69,
      "learning_rate": 7.698618421052633e-06,
      "loss": 0.0996,
      "step": 43000
    },
    {
      "epoch": 2.72,
      "learning_rate": 7.665723684210526e-06,
      "loss": 0.135,
      "step": 43500
    },
    {
      "epoch": 2.75,
      "learning_rate": 7.632828947368422e-06,
      "loss": 0.1153,
      "step": 44000
    },
    {
      "epoch": 2.78,
      "learning_rate": 7.599934210526317e-06,
      "loss": 0.1054,
      "step": 44500
    },
    {
      "epoch": 2.81,
      "learning_rate": 7.567039473684211e-06,
      "loss": 0.1013,
      "step": 45000
    },
    {
      "epoch": 2.84,
      "learning_rate": 7.534210526315791e-06,
      "loss": 0.1396,
      "step": 45500
    },
    {
      "epoch": 2.88,
      "learning_rate": 7.501315789473685e-06,
      "loss": 0.1169,
      "step": 46000
    },
    {
      "epoch": 2.91,
      "learning_rate": 7.468421052631579e-06,
      "loss": 0.1182,
      "step": 46500
    },
    {
      "epoch": 2.94,
      "learning_rate": 7.435526315789474e-06,
      "loss": 0.108,
      "step": 47000
    },
    {
      "epoch": 2.97,
      "learning_rate": 7.402631578947369e-06,
      "loss": 0.1106,
      "step": 47500
    },
    {
      "epoch": 3.0,
      "learning_rate": 7.369802631578949e-06,
      "loss": 0.0983,
      "step": 48000
    },
    {
      "epoch": 3.0,
      "eval_BLEU": 76.73720363059847,
      "eval_BLEU-Bigram-Precision": 79.20062087698875,
      "eval_BLEU-Trigram-Precision": 73.47770154373929,
      "eval_BLEU-Unigram-Precision": 85.37318712415988,
      "eval_ROUGE-2": 76.72216094294652,
      "eval_ROUGE-L": 90.70575387918443,
      "eval_Sacre-Bigram-Precision": 78.34241408214585,
      "eval_Sacre-Trigram-Precision": 73.58710882765062,
      "eval_Sacre-Unigram-Precision": 84.60735963581183,
      "eval_SacreBLEU": 76.40271655688608,
      "eval_loss": 0.23823951184749603,
      "eval_runtime": 1594.3998,
      "eval_samples_per_second": 0.627,
      "eval_steps_per_second": 0.627,
      "step": 48000
    },
    {
      "epoch": 3.03,
      "learning_rate": 7.3369078947368425e-06,
      "loss": 0.1156,
      "step": 48500
    },
    {
      "epoch": 3.06,
      "learning_rate": 7.304078947368421e-06,
      "loss": 0.0855,
      "step": 49000
    },
    {
      "epoch": 3.09,
      "learning_rate": 7.271184210526317e-06,
      "loss": 0.0923,
      "step": 49500
    },
    {
      "epoch": 3.12,
      "learning_rate": 7.238289473684211e-06,
      "loss": 0.1026,
      "step": 50000
    },
    {
      "epoch": 3.16,
      "learning_rate": 7.205394736842106e-06,
      "loss": 0.1265,
      "step": 50500
    },
    {
      "epoch": 3.19,
      "learning_rate": 7.172500000000001e-06,
      "loss": 0.0995,
      "step": 51000
    },
    {
      "epoch": 3.22,
      "learning_rate": 7.139605263157895e-06,
      "loss": 0.0903,
      "step": 51500
    },
    {
      "epoch": 3.25,
      "learning_rate": 7.1067105263157895e-06,
      "loss": 0.0929,
      "step": 52000
    },
    {
      "epoch": 3.28,
      "learning_rate": 7.073815789473685e-06,
      "loss": 0.0773,
      "step": 52500
    },
    {
      "epoch": 3.31,
      "learning_rate": 7.0409210526315795e-06,
      "loss": 0.0851,
      "step": 53000
    },
    {
      "epoch": 3.34,
      "learning_rate": 7.008026315789475e-06,
      "loss": 0.1169,
      "step": 53500
    },
    {
      "epoch": 3.38,
      "learning_rate": 6.975131578947369e-06,
      "loss": 0.1006,
      "step": 54000
    },
    {
      "epoch": 3.41,
      "learning_rate": 6.942236842105263e-06,
      "loss": 0.0852,
      "step": 54500
    },
    {
      "epoch": 3.44,
      "learning_rate": 6.909407894736843e-06,
      "loss": 0.0989,
      "step": 55000
    },
    {
      "epoch": 3.47,
      "learning_rate": 6.876513157894737e-06,
      "loss": 0.0805,
      "step": 55500
    },
    {
      "epoch": 3.5,
      "learning_rate": 6.843684210526317e-06,
      "loss": 0.1044,
      "step": 56000
    },
    {
      "epoch": 3.53,
      "learning_rate": 6.810789473684211e-06,
      "loss": 0.0902,
      "step": 56500
    },
    {
      "epoch": 3.56,
      "learning_rate": 6.777894736842105e-06,
      "loss": 0.0765,
      "step": 57000
    },
    {
      "epoch": 3.59,
      "learning_rate": 6.745000000000001e-06,
      "loss": 0.0951,
      "step": 57500
    },
    {
      "epoch": 3.62,
      "learning_rate": 6.7121710526315794e-06,
      "loss": 0.1134,
      "step": 58000
    },
    {
      "epoch": 3.66,
      "learning_rate": 6.679342105263158e-06,
      "loss": 0.1051,
      "step": 58500
    },
    {
      "epoch": 3.69,
      "learning_rate": 6.646447368421053e-06,
      "loss": 0.0955,
      "step": 59000
    },
    {
      "epoch": 3.72,
      "learning_rate": 6.613552631578948e-06,
      "loss": 0.0964,
      "step": 59500
    },
    {
      "epoch": 3.75,
      "learning_rate": 6.580657894736843e-06,
      "loss": 0.1046,
      "step": 60000
    },
    {
      "epoch": 3.78,
      "learning_rate": 6.547763157894737e-06,
      "loss": 0.0741,
      "step": 60500
    },
    {
      "epoch": 3.81,
      "learning_rate": 6.514868421052633e-06,
      "loss": 0.0695,
      "step": 61000
    },
    {
      "epoch": 3.84,
      "learning_rate": 6.481973684210526e-06,
      "loss": 0.0885,
      "step": 61500
    },
    {
      "epoch": 3.88,
      "learning_rate": 6.449078947368421e-06,
      "loss": 0.0889,
      "step": 62000
    },
    {
      "epoch": 3.91,
      "learning_rate": 6.416184210526316e-06,
      "loss": 0.0942,
      "step": 62500
    },
    {
      "epoch": 3.94,
      "learning_rate": 6.383289473684211e-06,
      "loss": 0.103,
      "step": 63000
    },
    {
      "epoch": 3.97,
      "learning_rate": 6.350460526315791e-06,
      "loss": 0.0768,
      "step": 63500
    },
    {
      "epoch": 4.0,
      "learning_rate": 6.317565789473685e-06,
      "loss": 0.0773,
      "step": 64000
    },
    {
      "epoch": 4.0,
      "eval_BLEU": 75.32461616904307,
      "eval_BLEU-Bigram-Precision": 77.5221070647523,
      "eval_BLEU-Trigram-Precision": 72.33640939597315,
      "eval_BLEU-Unigram-Precision": 83.58947642615264,
      "eval_ROUGE-2": 75.57825134251199,
      "eval_ROUGE-L": 88.70065022361639,
      "eval_Sacre-Bigram-Precision": 76.6359918200409,
      "eval_Sacre-Trigram-Precision": 72.25821116035914,
      "eval_Sacre-Unigram-Precision": 82.69016697588125,
      "eval_SacreBLEU": 74.94210102448932,
      "eval_loss": 0.24377790093421936,
      "eval_runtime": 1720.9311,
      "eval_samples_per_second": 0.581,
      "eval_steps_per_second": 0.581,
      "step": 64000
    },
    {
      "epoch": 4.03,
      "learning_rate": 6.284671052631579e-06,
      "loss": 0.0805,
      "step": 64500
    },
    {
      "epoch": 4.06,
      "learning_rate": 6.251776315789474e-06,
      "loss": 0.0701,
      "step": 65000
    },
    {
      "epoch": 4.09,
      "learning_rate": 6.218881578947369e-06,
      "loss": 0.07,
      "step": 65500
    },
    {
      "epoch": 4.12,
      "learning_rate": 6.185986842105263e-06,
      "loss": 0.0785,
      "step": 66000
    },
    {
      "epoch": 4.16,
      "learning_rate": 6.153092105263159e-06,
      "loss": 0.0832,
      "step": 66500
    },
    {
      "epoch": 4.19,
      "learning_rate": 6.120197368421053e-06,
      "loss": 0.094,
      "step": 67000
    },
    {
      "epoch": 4.22,
      "learning_rate": 6.087368421052632e-06,
      "loss": 0.074,
      "step": 67500
    },
    {
      "epoch": 4.25,
      "learning_rate": 6.054539473684211e-06,
      "loss": 0.0915,
      "step": 68000
    },
    {
      "epoch": 4.28,
      "learning_rate": 6.021644736842106e-06,
      "loss": 0.0904,
      "step": 68500
    },
    {
      "epoch": 4.31,
      "learning_rate": 5.988750000000001e-06,
      "loss": 0.0586,
      "step": 69000
    },
    {
      "epoch": 4.34,
      "learning_rate": 5.955855263157895e-06,
      "loss": 0.0754,
      "step": 69500
    },
    {
      "epoch": 4.38,
      "learning_rate": 5.92296052631579e-06,
      "loss": 0.074,
      "step": 70000
    },
    {
      "epoch": 4.41,
      "learning_rate": 5.890131578947369e-06,
      "loss": 0.0723,
      "step": 70500
    },
    {
      "epoch": 4.44,
      "learning_rate": 5.857236842105264e-06,
      "loss": 0.0814,
      "step": 71000
    },
    {
      "epoch": 4.47,
      "learning_rate": 5.824342105263159e-06,
      "loss": 0.0623,
      "step": 71500
    },
    {
      "epoch": 4.5,
      "learning_rate": 5.7914473684210525e-06,
      "loss": 0.0859,
      "step": 72000
    },
    {
      "epoch": 4.53,
      "learning_rate": 5.758552631578948e-06,
      "loss": 0.0713,
      "step": 72500
    },
    {
      "epoch": 4.56,
      "learning_rate": 5.7256578947368425e-06,
      "loss": 0.0891,
      "step": 73000
    },
    {
      "epoch": 4.59,
      "learning_rate": 5.692763157894737e-06,
      "loss": 0.0661,
      "step": 73500
    },
    {
      "epoch": 4.62,
      "learning_rate": 5.6598684210526324e-06,
      "loss": 0.0893,
      "step": 74000
    },
    {
      "epoch": 4.66,
      "learning_rate": 5.62703947368421e-06,
      "loss": 0.0694,
      "step": 74500
    },
    {
      "epoch": 4.69,
      "learning_rate": 5.594144736842106e-06,
      "loss": 0.0836,
      "step": 75000
    },
    {
      "epoch": 4.72,
      "learning_rate": 5.56125e-06,
      "loss": 0.074,
      "step": 75500
    },
    {
      "epoch": 4.75,
      "learning_rate": 5.528355263157895e-06,
      "loss": 0.0798,
      "step": 76000
    },
    {
      "epoch": 4.78,
      "learning_rate": 5.4955263157894745e-06,
      "loss": 0.0899,
      "step": 76500
    },
    {
      "epoch": 4.81,
      "learning_rate": 5.4626973684210525e-06,
      "loss": 0.0717,
      "step": 77000
    },
    {
      "epoch": 4.84,
      "learning_rate": 5.429802631578948e-06,
      "loss": 0.0754,
      "step": 77500
    },
    {
      "epoch": 4.88,
      "learning_rate": 5.3969078947368424e-06,
      "loss": 0.0923,
      "step": 78000
    },
    {
      "epoch": 4.91,
      "learning_rate": 5.364013157894738e-06,
      "loss": 0.0679,
      "step": 78500
    },
    {
      "epoch": 4.94,
      "learning_rate": 5.331118421052632e-06,
      "loss": 0.0722,
      "step": 79000
    },
    {
      "epoch": 4.97,
      "learning_rate": 5.298223684210527e-06,
      "loss": 0.071,
      "step": 79500
    },
    {
      "epoch": 5.0,
      "learning_rate": 5.265328947368421e-06,
      "loss": 0.0836,
      "step": 80000
    },
    {
      "epoch": 5.0,
      "eval_BLEU": 80.51272222480867,
      "eval_BLEU-Bigram-Precision": 82.70449743434953,
      "eval_BLEU-Trigram-Precision": 77.53097443911152,
      "eval_BLEU-Unigram-Precision": 88.20733156595666,
      "eval_ROUGE-2": 77.48308477253742,
      "eval_ROUGE-L": 90.67140065243555,
      "eval_Sacre-Bigram-Precision": 82.0950723376482,
      "eval_Sacre-Trigram-Precision": 77.98611956654085,
      "eval_Sacre-Unigram-Precision": 87.60914352987345,
      "eval_SacreBLEU": 80.51595106600885,
      "eval_loss": 0.24554118514060974,
      "eval_runtime": 1564.2824,
      "eval_samples_per_second": 0.639,
      "eval_steps_per_second": 0.639,
      "step": 80000
    },
    {
      "epoch": 5.03,
      "learning_rate": 5.232434210526316e-06,
      "loss": 0.0516,
      "step": 80500
    },
    {
      "epoch": 5.06,
      "learning_rate": 5.199539473684211e-06,
      "loss": 0.0681,
      "step": 81000
    },
    {
      "epoch": 5.09,
      "learning_rate": 5.1667763157894745e-06,
      "loss": 0.066,
      "step": 81500
    },
    {
      "epoch": 5.12,
      "learning_rate": 5.133881578947368e-06,
      "loss": 0.0517,
      "step": 82000
    },
    {
      "epoch": 5.16,
      "learning_rate": 5.100986842105264e-06,
      "loss": 0.0446,
      "step": 82500
    },
    {
      "epoch": 5.19,
      "learning_rate": 5.068092105263158e-06,
      "loss": 0.0642,
      "step": 83000
    },
    {
      "epoch": 5.22,
      "learning_rate": 5.035263157894738e-06,
      "loss": 0.0708,
      "step": 83500
    },
    {
      "epoch": 5.25,
      "learning_rate": 5.002368421052632e-06,
      "loss": 0.0607,
      "step": 84000
    },
    {
      "epoch": 5.28,
      "learning_rate": 4.969473684210527e-06,
      "loss": 0.062,
      "step": 84500
    },
    {
      "epoch": 5.31,
      "learning_rate": 4.9365789473684215e-06,
      "loss": 0.0844,
      "step": 85000
    },
    {
      "epoch": 5.34,
      "learning_rate": 4.90375e-06,
      "loss": 0.0611,
      "step": 85500
    },
    {
      "epoch": 5.38,
      "learning_rate": 4.870855263157896e-06,
      "loss": 0.0702,
      "step": 86000
    },
    {
      "epoch": 5.41,
      "learning_rate": 4.837960526315789e-06,
      "loss": 0.048,
      "step": 86500
    },
    {
      "epoch": 5.44,
      "learning_rate": 4.805065789473685e-06,
      "loss": 0.0725,
      "step": 87000
    },
    {
      "epoch": 5.47,
      "learning_rate": 4.772171052631579e-06,
      "loss": 0.0492,
      "step": 87500
    },
    {
      "epoch": 5.5,
      "learning_rate": 4.739276315789474e-06,
      "loss": 0.0443,
      "step": 88000
    },
    {
      "epoch": 5.53,
      "learning_rate": 4.7063815789473685e-06,
      "loss": 0.074,
      "step": 88500
    },
    {
      "epoch": 5.56,
      "learning_rate": 4.673486842105264e-06,
      "loss": 0.0742,
      "step": 89000
    },
    {
      "epoch": 5.59,
      "learning_rate": 4.6405921052631585e-06,
      "loss": 0.0579,
      "step": 89500
    },
    {
      "epoch": 5.62,
      "learning_rate": 4.6078289473684215e-06,
      "loss": 0.0673,
      "step": 90000
    },
    {
      "epoch": 5.66,
      "learning_rate": 4.574934210526316e-06,
      "loss": 0.0685,
      "step": 90500
    },
    {
      "epoch": 5.69,
      "learning_rate": 4.5420394736842114e-06,
      "loss": 0.0708,
      "step": 91000
    },
    {
      "epoch": 5.72,
      "learning_rate": 4.509144736842105e-06,
      "loss": 0.076,
      "step": 91500
    },
    {
      "epoch": 5.75,
      "learning_rate": 4.476315789473685e-06,
      "loss": 0.0717,
      "step": 92000
    },
    {
      "epoch": 5.78,
      "learning_rate": 4.443421052631579e-06,
      "loss": 0.0781,
      "step": 92500
    },
    {
      "epoch": 5.81,
      "learning_rate": 4.410526315789474e-06,
      "loss": 0.0678,
      "step": 93000
    },
    {
      "epoch": 5.84,
      "learning_rate": 4.377631578947369e-06,
      "loss": 0.0584,
      "step": 93500
    },
    {
      "epoch": 5.88,
      "learning_rate": 4.344736842105263e-06,
      "loss": 0.0736,
      "step": 94000
    },
    {
      "epoch": 5.91,
      "learning_rate": 4.3118421052631584e-06,
      "loss": 0.0472,
      "step": 94500
    },
    {
      "epoch": 5.94,
      "learning_rate": 4.278947368421053e-06,
      "loss": 0.0676,
      "step": 95000
    },
    {
      "epoch": 5.97,
      "learning_rate": 4.246052631578948e-06,
      "loss": 0.0595,
      "step": 95500
    },
    {
      "epoch": 6.0,
      "learning_rate": 4.213223684210526e-06,
      "loss": 0.0567,
      "step": 96000
    },
    {
      "epoch": 6.0,
      "eval_BLEU": 81.21370204393791,
      "eval_BLEU-Bigram-Precision": 83.26283987915409,
      "eval_BLEU-Trigram-Precision": 78.32402234636872,
      "eval_BLEU-Unigram-Precision": 88.63677950594693,
      "eval_ROUGE-2": 77.3545431272267,
      "eval_ROUGE-L": 90.77000002140947,
      "eval_Sacre-Bigram-Precision": 82.65461672473867,
      "eval_Sacre-Trigram-Precision": 78.53486104339346,
      "eval_Sacre-Unigram-Precision": 88.0695208169678,
      "eval_SacreBLEU": 81.05092176649303,
      "eval_loss": 0.2411227524280548,
      "eval_runtime": 1329.304,
      "eval_samples_per_second": 0.752,
      "eval_steps_per_second": 0.752,
      "step": 96000
    },
    {
      "epoch": 6.03,
      "learning_rate": 4.180394736842105e-06,
      "loss": 0.0561,
      "step": 96500
    },
    {
      "epoch": 6.06,
      "learning_rate": 4.1475000000000005e-06,
      "loss": 0.0484,
      "step": 97000
    },
    {
      "epoch": 6.09,
      "learning_rate": 4.114605263157895e-06,
      "loss": 0.0649,
      "step": 97500
    },
    {
      "epoch": 6.12,
      "learning_rate": 4.08171052631579e-06,
      "loss": 0.0489,
      "step": 98000
    },
    {
      "epoch": 6.16,
      "learning_rate": 4.048815789473684e-06,
      "loss": 0.0418,
      "step": 98500
    },
    {
      "epoch": 6.19,
      "learning_rate": 4.01592105263158e-06,
      "loss": 0.0671,
      "step": 99000
    },
    {
      "epoch": 6.22,
      "learning_rate": 3.983026315789474e-06,
      "loss": 0.0496,
      "step": 99500
    },
    {
      "epoch": 6.25,
      "learning_rate": 3.950131578947369e-06,
      "loss": 0.064,
      "step": 100000
    },
    {
      "epoch": 6.28,
      "learning_rate": 3.9173026315789475e-06,
      "loss": 0.0633,
      "step": 100500
    },
    {
      "epoch": 6.31,
      "learning_rate": 3.884407894736842e-06,
      "loss": 0.0578,
      "step": 101000
    },
    {
      "epoch": 6.34,
      "learning_rate": 3.8515131578947375e-06,
      "loss": 0.0501,
      "step": 101500
    },
    {
      "epoch": 6.38,
      "learning_rate": 3.818618421052632e-06,
      "loss": 0.0517,
      "step": 102000
    },
    {
      "epoch": 6.41,
      "learning_rate": 3.7857236842105266e-06,
      "loss": 0.0502,
      "step": 102500
    },
    {
      "epoch": 6.44,
      "learning_rate": 3.7528947368421054e-06,
      "loss": 0.0603,
      "step": 103000
    },
    {
      "epoch": 6.47,
      "learning_rate": 3.7200000000000004e-06,
      "loss": 0.0485,
      "step": 103500
    },
    {
      "epoch": 6.5,
      "learning_rate": 3.6871052631578954e-06,
      "loss": 0.0532,
      "step": 104000
    },
    {
      "epoch": 6.53,
      "learning_rate": 3.654276315789474e-06,
      "loss": 0.0551,
      "step": 104500
    },
    {
      "epoch": 6.56,
      "learning_rate": 3.6213815789473687e-06,
      "loss": 0.0429,
      "step": 105000
    },
    {
      "epoch": 6.59,
      "learning_rate": 3.5884868421052633e-06,
      "loss": 0.0485,
      "step": 105500
    },
    {
      "epoch": 6.62,
      "learning_rate": 3.5555921052631583e-06,
      "loss": 0.0606,
      "step": 106000
    },
    {
      "epoch": 6.66,
      "learning_rate": 3.5226973684210532e-06,
      "loss": 0.046,
      "step": 106500
    },
    {
      "epoch": 6.69,
      "learning_rate": 3.4898026315789474e-06,
      "loss": 0.0398,
      "step": 107000
    },
    {
      "epoch": 6.72,
      "learning_rate": 3.4569078947368424e-06,
      "loss": 0.0516,
      "step": 107500
    },
    {
      "epoch": 6.75,
      "learning_rate": 3.4240131578947373e-06,
      "loss": 0.06,
      "step": 108000
    },
    {
      "epoch": 6.78,
      "learning_rate": 3.391118421052632e-06,
      "loss": 0.0507,
      "step": 108500
    },
    {
      "epoch": 6.81,
      "learning_rate": 3.3582236842105265e-06,
      "loss": 0.0651,
      "step": 109000
    },
    {
      "epoch": 6.84,
      "learning_rate": 3.3253947368421057e-06,
      "loss": 0.0502,
      "step": 109500
    },
    {
      "epoch": 6.88,
      "learning_rate": 3.2925000000000002e-06,
      "loss": 0.0455,
      "step": 110000
    },
    {
      "epoch": 6.91,
      "learning_rate": 3.2596052631578952e-06,
      "loss": 0.0467,
      "step": 110500
    },
    {
      "epoch": 6.94,
      "learning_rate": 3.2267105263157898e-06,
      "loss": 0.0571,
      "step": 111000
    },
    {
      "epoch": 6.97,
      "learning_rate": 3.1938157894736843e-06,
      "loss": 0.0546,
      "step": 111500
    },
    {
      "epoch": 7.0,
      "learning_rate": 3.1609210526315793e-06,
      "loss": 0.043,
      "step": 112000
    },
    {
      "epoch": 7.0,
      "eval_BLEU": 80.56639568650905,
      "eval_BLEU-Bigram-Precision": 82.55929838548933,
      "eval_BLEU-Trigram-Precision": 77.6121051468964,
      "eval_BLEU-Unigram-Precision": 88.20010875475802,
      "eval_ROUGE-2": 77.17811658990045,
      "eval_ROUGE-L": 90.74508068067605,
      "eval_Sacre-Bigram-Precision": 81.82111373898087,
      "eval_Sacre-Trigram-Precision": 77.62557077625571,
      "eval_Sacre-Unigram-Precision": 87.54610755193167,
      "eval_SacreBLEU": 80.26422111075566,
      "eval_loss": 0.2396911382675171,
      "eval_runtime": 1545.8252,
      "eval_samples_per_second": 0.647,
      "eval_steps_per_second": 0.647,
      "step": 112000
    },
    {
      "epoch": 7.03,
      "learning_rate": 3.1280263157894743e-06,
      "loss": 0.0353,
      "step": 112500
    },
    {
      "epoch": 7.06,
      "learning_rate": 3.0951315789473685e-06,
      "loss": 0.05,
      "step": 113000
    },
    {
      "epoch": 7.09,
      "learning_rate": 3.0623026315789477e-06,
      "loss": 0.0403,
      "step": 113500
    },
    {
      "epoch": 7.12,
      "learning_rate": 3.0294078947368422e-06,
      "loss": 0.0384,
      "step": 114000
    },
    {
      "epoch": 7.16,
      "learning_rate": 2.996513157894737e-06,
      "loss": 0.0492,
      "step": 114500
    },
    {
      "epoch": 7.19,
      "learning_rate": 2.9636184210526318e-06,
      "loss": 0.0382,
      "step": 115000
    },
    {
      "epoch": 7.22,
      "learning_rate": 2.9307236842105263e-06,
      "loss": 0.0582,
      "step": 115500
    },
    {
      "epoch": 7.25,
      "learning_rate": 2.8978289473684213e-06,
      "loss": 0.037,
      "step": 116000
    },
    {
      "epoch": 7.28,
      "learning_rate": 2.865e-06,
      "loss": 0.0326,
      "step": 116500
    },
    {
      "epoch": 7.31,
      "learning_rate": 2.832105263157895e-06,
      "loss": 0.0447,
      "step": 117000
    },
    {
      "epoch": 7.34,
      "learning_rate": 2.7992105263157896e-06,
      "loss": 0.0531,
      "step": 117500
    },
    {
      "epoch": 7.38,
      "learning_rate": 2.7663815789473684e-06,
      "loss": 0.0426,
      "step": 118000
    },
    {
      "epoch": 7.41,
      "learning_rate": 2.7334868421052634e-06,
      "loss": 0.0464,
      "step": 118500
    },
    {
      "epoch": 7.44,
      "learning_rate": 2.700592105263158e-06,
      "loss": 0.0491,
      "step": 119000
    },
    {
      "epoch": 7.47,
      "learning_rate": 2.667697368421053e-06,
      "loss": 0.0324,
      "step": 119500
    },
    {
      "epoch": 7.5,
      "learning_rate": 2.6348026315789475e-06,
      "loss": 0.0405,
      "step": 120000
    },
    {
      "epoch": 7.53,
      "learning_rate": 2.6019078947368425e-06,
      "loss": 0.0328,
      "step": 120500
    },
    {
      "epoch": 7.56,
      "learning_rate": 2.569013157894737e-06,
      "loss": 0.0456,
      "step": 121000
    },
    {
      "epoch": 7.59,
      "learning_rate": 2.536118421052632e-06,
      "loss": 0.0321,
      "step": 121500
    },
    {
      "epoch": 7.62,
      "learning_rate": 2.5032236842105266e-06,
      "loss": 0.0385,
      "step": 122000
    },
    {
      "epoch": 7.66,
      "learning_rate": 2.470328947368421e-06,
      "loss": 0.0385,
      "step": 122500
    },
    {
      "epoch": 7.69,
      "learning_rate": 2.437434210526316e-06,
      "loss": 0.0403,
      "step": 123000
    },
    {
      "epoch": 7.72,
      "learning_rate": 2.404605263157895e-06,
      "loss": 0.0563,
      "step": 123500
    },
    {
      "epoch": 7.75,
      "learning_rate": 2.3717105263157895e-06,
      "loss": 0.057,
      "step": 124000
    },
    {
      "epoch": 7.78,
      "learning_rate": 2.3388815789473687e-06,
      "loss": 0.0463,
      "step": 124500
    },
    {
      "epoch": 7.81,
      "learning_rate": 2.3059868421052633e-06,
      "loss": 0.0449,
      "step": 125000
    },
    {
      "epoch": 7.84,
      "learning_rate": 2.273092105263158e-06,
      "loss": 0.04,
      "step": 125500
    },
    {
      "epoch": 7.88,
      "learning_rate": 2.240197368421053e-06,
      "loss": 0.0447,
      "step": 126000
    },
    {
      "epoch": 7.91,
      "learning_rate": 2.2073026315789474e-06,
      "loss": 0.0557,
      "step": 126500
    },
    {
      "epoch": 7.94,
      "learning_rate": 2.1744078947368424e-06,
      "loss": 0.0602,
      "step": 127000
    },
    {
      "epoch": 7.97,
      "learning_rate": 2.141513157894737e-06,
      "loss": 0.0383,
      "step": 127500
    },
    {
      "epoch": 8.0,
      "learning_rate": 2.108618421052632e-06,
      "loss": 0.0491,
      "step": 128000
    },
    {
      "epoch": 8.0,
      "eval_BLEU": 78.11044908486078,
      "eval_BLEU-Bigram-Precision": 80.32311115410661,
      "eval_BLEU-Trigram-Precision": 75.1309180292829,
      "eval_BLEU-Unigram-Precision": 85.89573961365441,
      "eval_ROUGE-2": 76.73896747691722,
      "eval_ROUGE-L": 90.4316320530482,
      "eval_Sacre-Bigram-Precision": 79.53764448609809,
      "eval_Sacre-Trigram-Precision": 75.15945726545286,
      "eval_Sacre-Unigram-Precision": 85.18343864943884,
      "eval_SacreBLEU": 77.77903164926069,
      "eval_loss": 0.24439701437950134,
      "eval_runtime": 1491.254,
      "eval_samples_per_second": 0.671,
      "eval_steps_per_second": 0.671,
      "step": 128000
    },
    {
      "epoch": 8.03,
      "learning_rate": 2.0757236842105265e-06,
      "loss": 0.0393,
      "step": 128500
    },
    {
      "epoch": 8.06,
      "learning_rate": 2.0428289473684215e-06,
      "loss": 0.0466,
      "step": 129000
    },
    {
      "epoch": 8.09,
      "learning_rate": 2.009934210526316e-06,
      "loss": 0.0377,
      "step": 129500
    },
    {
      "epoch": 8.12,
      "learning_rate": 1.977105263157895e-06,
      "loss": 0.0413,
      "step": 130000
    },
    {
      "epoch": 8.16,
      "learning_rate": 1.9442105263157894e-06,
      "loss": 0.0394,
      "step": 130500
    },
    {
      "epoch": 8.19,
      "learning_rate": 1.9113157894736843e-06,
      "loss": 0.03,
      "step": 131000
    },
    {
      "epoch": 8.22,
      "learning_rate": 1.8784210526315791e-06,
      "loss": 0.0286,
      "step": 131500
    },
    {
      "epoch": 8.25,
      "learning_rate": 1.8455263157894737e-06,
      "loss": 0.0403,
      "step": 132000
    },
    {
      "epoch": 8.28,
      "learning_rate": 1.8126973684210527e-06,
      "loss": 0.0543,
      "step": 132500
    },
    {
      "epoch": 8.31,
      "learning_rate": 1.7798026315789474e-06,
      "loss": 0.0362,
      "step": 133000
    },
    {
      "epoch": 8.34,
      "learning_rate": 1.7469078947368422e-06,
      "loss": 0.0321,
      "step": 133500
    },
    {
      "epoch": 8.38,
      "learning_rate": 1.714013157894737e-06,
      "loss": 0.0306,
      "step": 134000
    },
    {
      "epoch": 8.41,
      "learning_rate": 1.6811184210526318e-06,
      "loss": 0.0385,
      "step": 134500
    },
    {
      "epoch": 8.44,
      "learning_rate": 1.6482236842105265e-06,
      "loss": 0.0347,
      "step": 135000
    },
    {
      "epoch": 8.47,
      "learning_rate": 1.615328947368421e-06,
      "loss": 0.0352,
      "step": 135500
    },
    {
      "epoch": 8.5,
      "learning_rate": 1.5825e-06,
      "loss": 0.0437,
      "step": 136000
    },
    {
      "epoch": 8.53,
      "learning_rate": 1.5496052631578949e-06,
      "loss": 0.0324,
      "step": 136500
    },
    {
      "epoch": 8.56,
      "learning_rate": 1.5167105263157896e-06,
      "loss": 0.0354,
      "step": 137000
    },
    {
      "epoch": 8.59,
      "learning_rate": 1.4838157894736844e-06,
      "loss": 0.0367,
      "step": 137500
    },
    {
      "epoch": 8.62,
      "learning_rate": 1.450921052631579e-06,
      "loss": 0.0408,
      "step": 138000
    },
    {
      "epoch": 8.66,
      "learning_rate": 1.418026315789474e-06,
      "loss": 0.0543,
      "step": 138500
    },
    {
      "epoch": 8.69,
      "learning_rate": 1.3851315789473685e-06,
      "loss": 0.0245,
      "step": 139000
    },
    {
      "epoch": 8.72,
      "learning_rate": 1.3523026315789475e-06,
      "loss": 0.0283,
      "step": 139500
    },
    {
      "epoch": 8.75,
      "learning_rate": 1.319407894736842e-06,
      "loss": 0.0353,
      "step": 140000
    },
    {
      "epoch": 8.78,
      "learning_rate": 1.286513157894737e-06,
      "loss": 0.0442,
      "step": 140500
    },
    {
      "epoch": 8.81,
      "learning_rate": 1.2536184210526316e-06,
      "loss": 0.0396,
      "step": 141000
    },
    {
      "epoch": 8.84,
      "learning_rate": 1.2207236842105264e-06,
      "loss": 0.0382,
      "step": 141500
    },
    {
      "epoch": 8.88,
      "learning_rate": 1.1878289473684212e-06,
      "loss": 0.0393,
      "step": 142000
    },
    {
      "epoch": 8.91,
      "learning_rate": 1.154934210526316e-06,
      "loss": 0.0279,
      "step": 142500
    },
    {
      "epoch": 8.94,
      "learning_rate": 1.1220394736842107e-06,
      "loss": 0.0368,
      "step": 143000
    },
    {
      "epoch": 8.97,
      "learning_rate": 1.0891447368421055e-06,
      "loss": 0.0339,
      "step": 143500
    },
    {
      "epoch": 9.0,
      "learning_rate": 1.0563157894736843e-06,
      "loss": 0.0367,
      "step": 144000
    },
    {
      "epoch": 9.0,
      "eval_BLEU": 78.72613610038634,
      "eval_BLEU-Bigram-Precision": 80.66982867099023,
      "eval_BLEU-Trigram-Precision": 75.83146187573522,
      "eval_BLEU-Unigram-Precision": 86.24128497043509,
      "eval_ROUGE-2": 77.10014496108923,
      "eval_ROUGE-L": 90.75201858392994,
      "eval_Sacre-Bigram-Precision": 79.9499791579825,
      "eval_Sacre-Trigram-Precision": 75.83565459610028,
      "eval_Sacre-Unigram-Precision": 85.47565118912797,
      "eval_SacreBLEU": 78.39445859677504,
      "eval_loss": 0.2408515363931656,
      "eval_runtime": 1473.0938,
      "eval_samples_per_second": 0.679,
      "eval_steps_per_second": 0.679,
      "step": 144000
    },
    {
      "epoch": 9.03,
      "learning_rate": 1.0234868421052633e-06,
      "loss": 0.0404,
      "step": 144500
    },
    {
      "epoch": 9.06,
      "learning_rate": 9.90592105263158e-07,
      "loss": 0.0337,
      "step": 145000
    },
    {
      "epoch": 9.09,
      "learning_rate": 9.576973684210528e-07,
      "loss": 0.0426,
      "step": 145500
    },
    {
      "epoch": 9.12,
      "learning_rate": 9.248026315789474e-07,
      "loss": 0.0408,
      "step": 146000
    },
    {
      "epoch": 9.16,
      "learning_rate": 8.919078947368421e-07,
      "loss": 0.0347,
      "step": 146500
    },
    {
      "epoch": 9.19,
      "learning_rate": 8.59078947368421e-07,
      "loss": 0.0392,
      "step": 147000
    },
    {
      "epoch": 9.22,
      "learning_rate": 8.261842105263158e-07,
      "loss": 0.0339,
      "step": 147500
    },
    {
      "epoch": 9.25,
      "learning_rate": 7.932894736842106e-07,
      "loss": 0.0371,
      "step": 148000
    },
    {
      "epoch": 9.28,
      "learning_rate": 7.603947368421054e-07,
      "loss": 0.0375,
      "step": 148500
    },
    {
      "epoch": 9.31,
      "learning_rate": 7.275e-07,
      "loss": 0.0359,
      "step": 149000
    },
    {
      "epoch": 9.34,
      "learning_rate": 6.946052631578948e-07,
      "loss": 0.0241,
      "step": 149500
    },
    {
      "epoch": 9.38,
      "learning_rate": 6.617105263157896e-07,
      "loss": 0.031,
      "step": 150000
    },
    {
      "epoch": 9.41,
      "learning_rate": 6.288815789473685e-07,
      "loss": 0.0294,
      "step": 150500
    },
    {
      "epoch": 9.44,
      "learning_rate": 5.959868421052632e-07,
      "loss": 0.0371,
      "step": 151000
    },
    {
      "epoch": 9.47,
      "learning_rate": 5.630921052631579e-07,
      "loss": 0.0263,
      "step": 151500
    },
    {
      "epoch": 9.5,
      "learning_rate": 5.301973684210527e-07,
      "loss": 0.049,
      "step": 152000
    },
    {
      "epoch": 9.53,
      "learning_rate": 4.973026315789474e-07,
      "loss": 0.033,
      "step": 152500
    },
    {
      "epoch": 9.56,
      "learning_rate": 4.6440789473684216e-07,
      "loss": 0.045,
      "step": 153000
    },
    {
      "epoch": 9.59,
      "learning_rate": 4.315131578947369e-07,
      "loss": 0.0464,
      "step": 153500
    },
    {
      "epoch": 9.62,
      "learning_rate": 3.986842105263158e-07,
      "loss": 0.0353,
      "step": 154000
    },
    {
      "epoch": 9.66,
      "learning_rate": 3.6578947368421055e-07,
      "loss": 0.0365,
      "step": 154500
    },
    {
      "epoch": 9.69,
      "learning_rate": 3.328947368421053e-07,
      "loss": 0.0335,
      "step": 155000
    },
    {
      "epoch": 9.72,
      "learning_rate": 3.0000000000000004e-07,
      "loss": 0.0404,
      "step": 155500
    },
    {
      "epoch": 9.75,
      "learning_rate": 2.67171052631579e-07,
      "loss": 0.0374,
      "step": 156000
    },
    {
      "epoch": 9.78,
      "learning_rate": 2.3427631578947373e-07,
      "loss": 0.0366,
      "step": 156500
    },
    {
      "epoch": 9.81,
      "learning_rate": 2.0138157894736842e-07,
      "loss": 0.0245,
      "step": 157000
    },
    {
      "epoch": 9.84,
      "learning_rate": 1.6848684210526317e-07,
      "loss": 0.039,
      "step": 157500
    },
    {
      "epoch": 9.88,
      "learning_rate": 1.3559210526315791e-07,
      "loss": 0.0292,
      "step": 158000
    },
    {
      "epoch": 9.91,
      "learning_rate": 1.0269736842105265e-07,
      "loss": 0.0361,
      "step": 158500
    },
    {
      "epoch": 9.94,
      "learning_rate": 6.980263157894737e-08,
      "loss": 0.0372,
      "step": 159000
    },
    {
      "epoch": 9.97,
      "learning_rate": 3.690789473684211e-08,
      "loss": 0.0211,
      "step": 159500
    },
    {
      "epoch": 10.0,
      "learning_rate": 4.0131578947368425e-09,
      "loss": 0.0354,
      "step": 160000
    },
    {
      "epoch": 10.0,
      "eval_BLEU": 78.74942323410538,
      "eval_BLEU-Bigram-Precision": 80.77783179387458,
      "eval_BLEU-Trigram-Precision": 75.84094572810316,
      "eval_BLEU-Unigram-Precision": 86.30926007975188,
      "eval_ROUGE-2": 77.17672035094623,
      "eval_ROUGE-L": 90.75273654124103,
      "eval_Sacre-Bigram-Precision": 80.08164119740422,
      "eval_Sacre-Trigram-Precision": 75.89223233030091,
      "eval_Sacre-Unigram-Precision": 85.5694523403449,
      "eval_SacreBLEU": 78.4509112113324,
      "eval_loss": 0.2423561066389084,
      "eval_runtime": 1552.9635,
      "eval_samples_per_second": 0.644,
      "eval_steps_per_second": 0.644,
      "step": 160000
    },
    {
      "epoch": 10.0,
      "step": 160000,
      "total_flos": 2093466255360000.0,
      "train_loss": 0.08072224444150924,
      "train_runtime": 26837.0061,
      "train_samples_per_second": 5.962,
      "train_steps_per_second": 5.962
    }
  ],
  "max_steps": 160000,
  "num_train_epochs": 10,
  "total_flos": 2093466255360000.0,
  "trial_name": null,
  "trial_params": null
}