diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,22738 @@ +{ + "best_metric": 0.8097558194444616, + "best_model_checkpoint": "beit-sketch-classifier-3/checkpoint-37818", + "epoch": 2.9999405080611576, + "global_step": 37818, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.3220518244315177e-07, + "loss": 5.9891, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 2.6441036488630353e-07, + "loss": 5.9912, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 3.966155473294554e-07, + "loss": 5.9855, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 5.288207297726071e-07, + "loss": 5.9777, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 6.61025912215759e-07, + "loss": 5.9682, + "step": 50 + }, + { + "epoch": 0.0, + "learning_rate": 7.932310946589108e-07, + "loss": 5.9583, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 9.254362771020624e-07, + "loss": 5.9642, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.0576414595452141e-06, + "loss": 5.9244, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 1.189846641988366e-06, + "loss": 5.9327, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 1.322051824431518e-06, + "loss": 5.9028, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 1.4542570068746696e-06, + "loss": 5.8884, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 1.5864621893178215e-06, + "loss": 5.8929, + "step": 120 + }, + { + "epoch": 0.01, + "learning_rate": 1.7186673717609732e-06, + "loss": 5.8864, + "step": 130 + }, + { + "epoch": 0.01, + "learning_rate": 1.8508725542041249e-06, + "loss": 5.8835, + "step": 140 + }, + { + "epoch": 0.01, + "learning_rate": 1.9830777366472766e-06, + "loss": 5.8472, + "step": 150 + }, + { + "epoch": 0.01, + "learning_rate": 2.1152829190904283e-06, + "loss": 5.8354, + "step": 160 + }, + { + "epoch": 0.01, + "learning_rate": 2.2474881015335804e-06, + "loss": 5.8199, + "step": 170 + }, + { + "epoch": 0.01, + "learning_rate": 2.379693283976732e-06, + "loss": 5.7909, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 2.5118984664198837e-06, + "loss": 5.8001, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 2.644103648863036e-06, + "loss": 5.8095, + "step": 200 + }, + { + "epoch": 0.02, + "learning_rate": 2.7763088313061875e-06, + "loss": 5.7756, + "step": 210 + }, + { + "epoch": 0.02, + "learning_rate": 2.9085140137493392e-06, + "loss": 5.7659, + "step": 220 + }, + { + "epoch": 0.02, + "learning_rate": 3.040719196192491e-06, + "loss": 5.7628, + "step": 230 + }, + { + "epoch": 0.02, + "learning_rate": 3.172924378635643e-06, + "loss": 5.7628, + "step": 240 + }, + { + "epoch": 0.02, + "learning_rate": 3.3051295610787943e-06, + "loss": 5.749, + "step": 250 + }, + { + "epoch": 0.02, + "learning_rate": 3.4373347435219464e-06, + "loss": 5.7458, + "step": 260 + }, + { + "epoch": 0.02, + "learning_rate": 3.5695399259650977e-06, + "loss": 5.6993, + "step": 270 + }, + { + "epoch": 0.02, + "learning_rate": 3.7017451084082498e-06, + "loss": 5.7048, + "step": 280 + }, + { + "epoch": 0.02, + "learning_rate": 3.833950290851401e-06, + "loss": 5.6754, + "step": 290 + }, + { + "epoch": 0.02, + "learning_rate": 3.966155473294553e-06, + "loss": 5.674, + "step": 300 + }, + { + "epoch": 0.02, + "learning_rate": 4.098360655737704e-06, + "loss": 5.6554, + "step": 310 + }, + { + "epoch": 0.03, + "learning_rate": 4.2305658381808565e-06, + "loss": 5.6303, + "step": 320 + }, + { + "epoch": 0.03, + "learning_rate": 4.362771020624009e-06, + "loss": 5.6263, + "step": 330 + }, + { + "epoch": 0.03, + "learning_rate": 4.494976203067161e-06, + "loss": 5.6009, + "step": 340 + }, + { + "epoch": 0.03, + "learning_rate": 4.627181385510313e-06, + "loss": 5.5668, + "step": 350 + }, + { + "epoch": 0.03, + "learning_rate": 4.759386567953464e-06, + "loss": 5.5595, + "step": 360 + }, + { + "epoch": 0.03, + "learning_rate": 4.891591750396616e-06, + "loss": 5.5141, + "step": 370 + }, + { + "epoch": 0.03, + "learning_rate": 5.0237969328397675e-06, + "loss": 5.5082, + "step": 380 + }, + { + "epoch": 0.03, + "learning_rate": 5.15600211528292e-06, + "loss": 5.4657, + "step": 390 + }, + { + "epoch": 0.03, + "learning_rate": 5.288207297726072e-06, + "loss": 5.4296, + "step": 400 + }, + { + "epoch": 0.03, + "learning_rate": 5.420412480169223e-06, + "loss": 5.4103, + "step": 410 + }, + { + "epoch": 0.03, + "learning_rate": 5.552617662612375e-06, + "loss": 5.3909, + "step": 420 + }, + { + "epoch": 0.03, + "learning_rate": 5.684822845055526e-06, + "loss": 5.3804, + "step": 430 + }, + { + "epoch": 0.03, + "learning_rate": 5.8170280274986785e-06, + "loss": 5.3371, + "step": 440 + }, + { + "epoch": 0.04, + "learning_rate": 5.94923320994183e-06, + "loss": 5.2939, + "step": 450 + }, + { + "epoch": 0.04, + "learning_rate": 6.081438392384982e-06, + "loss": 5.2944, + "step": 460 + }, + { + "epoch": 0.04, + "learning_rate": 6.213643574828133e-06, + "loss": 5.2787, + "step": 470 + }, + { + "epoch": 0.04, + "learning_rate": 6.345848757271286e-06, + "loss": 5.2274, + "step": 480 + }, + { + "epoch": 0.04, + "learning_rate": 6.478053939714437e-06, + "loss": 5.1705, + "step": 490 + }, + { + "epoch": 0.04, + "learning_rate": 6.6102591221575886e-06, + "loss": 5.1352, + "step": 500 + }, + { + "epoch": 0.04, + "learning_rate": 6.74246430460074e-06, + "loss": 5.1156, + "step": 510 + }, + { + "epoch": 0.04, + "learning_rate": 6.874669487043893e-06, + "loss": 5.0545, + "step": 520 + }, + { + "epoch": 0.04, + "learning_rate": 7.006874669487044e-06, + "loss": 5.0058, + "step": 530 + }, + { + "epoch": 0.04, + "learning_rate": 7.139079851930195e-06, + "loss": 4.991, + "step": 540 + }, + { + "epoch": 0.04, + "learning_rate": 7.2712850343733474e-06, + "loss": 4.9273, + "step": 550 + }, + { + "epoch": 0.04, + "learning_rate": 7.4034902168164995e-06, + "loss": 4.9101, + "step": 560 + }, + { + "epoch": 0.05, + "learning_rate": 7.535695399259652e-06, + "loss": 4.8585, + "step": 570 + }, + { + "epoch": 0.05, + "learning_rate": 7.667900581702802e-06, + "loss": 4.8144, + "step": 580 + }, + { + "epoch": 0.05, + "learning_rate": 7.800105764145956e-06, + "loss": 4.7873, + "step": 590 + }, + { + "epoch": 0.05, + "learning_rate": 7.932310946589106e-06, + "loss": 4.7252, + "step": 600 + }, + { + "epoch": 0.05, + "learning_rate": 8.064516129032258e-06, + "loss": 4.6762, + "step": 610 + }, + { + "epoch": 0.05, + "learning_rate": 8.196721311475409e-06, + "loss": 4.6263, + "step": 620 + }, + { + "epoch": 0.05, + "learning_rate": 8.328926493918563e-06, + "loss": 4.5897, + "step": 630 + }, + { + "epoch": 0.05, + "learning_rate": 8.461131676361713e-06, + "loss": 4.5432, + "step": 640 + }, + { + "epoch": 0.05, + "learning_rate": 8.593336858804865e-06, + "loss": 4.4465, + "step": 650 + }, + { + "epoch": 0.05, + "learning_rate": 8.725542041248017e-06, + "loss": 4.4202, + "step": 660 + }, + { + "epoch": 0.05, + "learning_rate": 8.85774722369117e-06, + "loss": 4.3874, + "step": 670 + }, + { + "epoch": 0.05, + "learning_rate": 8.989952406134321e-06, + "loss": 4.3087, + "step": 680 + }, + { + "epoch": 0.05, + "learning_rate": 9.122157588577472e-06, + "loss": 4.284, + "step": 690 + }, + { + "epoch": 0.06, + "learning_rate": 9.254362771020626e-06, + "loss": 4.2607, + "step": 700 + }, + { + "epoch": 0.06, + "learning_rate": 9.386567953463776e-06, + "loss": 4.1384, + "step": 710 + }, + { + "epoch": 0.06, + "learning_rate": 9.518773135906928e-06, + "loss": 4.1016, + "step": 720 + }, + { + "epoch": 0.06, + "learning_rate": 9.65097831835008e-06, + "loss": 4.0673, + "step": 730 + }, + { + "epoch": 0.06, + "learning_rate": 9.783183500793232e-06, + "loss": 4.0227, + "step": 740 + }, + { + "epoch": 0.06, + "learning_rate": 9.915388683236383e-06, + "loss": 3.9688, + "step": 750 + }, + { + "epoch": 0.06, + "learning_rate": 1.0047593865679535e-05, + "loss": 3.9706, + "step": 760 + }, + { + "epoch": 0.06, + "learning_rate": 1.0179799048122687e-05, + "loss": 3.8952, + "step": 770 + }, + { + "epoch": 0.06, + "learning_rate": 1.031200423056584e-05, + "loss": 3.832, + "step": 780 + }, + { + "epoch": 0.06, + "learning_rate": 1.044420941300899e-05, + "loss": 3.7726, + "step": 790 + }, + { + "epoch": 0.06, + "learning_rate": 1.0576414595452143e-05, + "loss": 3.7676, + "step": 800 + }, + { + "epoch": 0.06, + "learning_rate": 1.0708619777895294e-05, + "loss": 3.6796, + "step": 810 + }, + { + "epoch": 0.07, + "learning_rate": 1.0840824960338446e-05, + "loss": 3.6294, + "step": 820 + }, + { + "epoch": 0.07, + "learning_rate": 1.0973030142781596e-05, + "loss": 3.5967, + "step": 830 + }, + { + "epoch": 0.07, + "learning_rate": 1.110523532522475e-05, + "loss": 3.5669, + "step": 840 + }, + { + "epoch": 0.07, + "learning_rate": 1.12374405076679e-05, + "loss": 3.4788, + "step": 850 + }, + { + "epoch": 0.07, + "learning_rate": 1.1369645690111053e-05, + "loss": 3.4677, + "step": 860 + }, + { + "epoch": 0.07, + "learning_rate": 1.1501850872554205e-05, + "loss": 3.3864, + "step": 870 + }, + { + "epoch": 0.07, + "learning_rate": 1.1634056054997357e-05, + "loss": 3.3375, + "step": 880 + }, + { + "epoch": 0.07, + "learning_rate": 1.1766261237440509e-05, + "loss": 3.3317, + "step": 890 + }, + { + "epoch": 0.07, + "learning_rate": 1.189846641988366e-05, + "loss": 3.2866, + "step": 900 + }, + { + "epoch": 0.07, + "learning_rate": 1.2030671602326812e-05, + "loss": 3.2172, + "step": 910 + }, + { + "epoch": 0.07, + "learning_rate": 1.2162876784769964e-05, + "loss": 3.1842, + "step": 920 + }, + { + "epoch": 0.07, + "learning_rate": 1.2295081967213116e-05, + "loss": 3.1644, + "step": 930 + }, + { + "epoch": 0.07, + "learning_rate": 1.2427287149656266e-05, + "loss": 3.0838, + "step": 940 + }, + { + "epoch": 0.08, + "learning_rate": 1.2559492332099418e-05, + "loss": 3.1015, + "step": 950 + }, + { + "epoch": 0.08, + "learning_rate": 1.2691697514542572e-05, + "loss": 2.9638, + "step": 960 + }, + { + "epoch": 0.08, + "learning_rate": 1.2823902696985724e-05, + "loss": 2.952, + "step": 970 + }, + { + "epoch": 0.08, + "learning_rate": 1.2956107879428875e-05, + "loss": 2.973, + "step": 980 + }, + { + "epoch": 0.08, + "learning_rate": 1.3088313061872027e-05, + "loss": 2.8985, + "step": 990 + }, + { + "epoch": 0.08, + "learning_rate": 1.3220518244315177e-05, + "loss": 2.9158, + "step": 1000 + }, + { + "epoch": 0.08, + "learning_rate": 1.335272342675833e-05, + "loss": 2.8414, + "step": 1010 + }, + { + "epoch": 0.08, + "learning_rate": 1.348492860920148e-05, + "loss": 2.8071, + "step": 1020 + }, + { + "epoch": 0.08, + "learning_rate": 1.3617133791644632e-05, + "loss": 2.7327, + "step": 1030 + }, + { + "epoch": 0.08, + "learning_rate": 1.3749338974087786e-05, + "loss": 2.7512, + "step": 1040 + }, + { + "epoch": 0.08, + "learning_rate": 1.3881544156530938e-05, + "loss": 2.7351, + "step": 1050 + }, + { + "epoch": 0.08, + "learning_rate": 1.4013749338974088e-05, + "loss": 2.6775, + "step": 1060 + }, + { + "epoch": 0.08, + "learning_rate": 1.414595452141724e-05, + "loss": 2.6238, + "step": 1070 + }, + { + "epoch": 0.09, + "learning_rate": 1.427815970386039e-05, + "loss": 2.5239, + "step": 1080 + }, + { + "epoch": 0.09, + "learning_rate": 1.4410364886303543e-05, + "loss": 2.5905, + "step": 1090 + }, + { + "epoch": 0.09, + "learning_rate": 1.4542570068746695e-05, + "loss": 2.5621, + "step": 1100 + }, + { + "epoch": 0.09, + "learning_rate": 1.4674775251189849e-05, + "loss": 2.5286, + "step": 1110 + }, + { + "epoch": 0.09, + "learning_rate": 1.4806980433632999e-05, + "loss": 2.4871, + "step": 1120 + }, + { + "epoch": 0.09, + "learning_rate": 1.4939185616076151e-05, + "loss": 2.4122, + "step": 1130 + }, + { + "epoch": 0.09, + "learning_rate": 1.5071390798519303e-05, + "loss": 2.4369, + "step": 1140 + }, + { + "epoch": 0.09, + "learning_rate": 1.5203595980962454e-05, + "loss": 2.4167, + "step": 1150 + }, + { + "epoch": 0.09, + "learning_rate": 1.5335801163405604e-05, + "loss": 2.4037, + "step": 1160 + }, + { + "epoch": 0.09, + "learning_rate": 1.5468006345848758e-05, + "loss": 2.3923, + "step": 1170 + }, + { + "epoch": 0.09, + "learning_rate": 1.5600211528291912e-05, + "loss": 2.3209, + "step": 1180 + }, + { + "epoch": 0.09, + "learning_rate": 1.5732416710735062e-05, + "loss": 2.3418, + "step": 1190 + }, + { + "epoch": 0.1, + "learning_rate": 1.5864621893178213e-05, + "loss": 2.2481, + "step": 1200 + }, + { + "epoch": 0.1, + "learning_rate": 1.5996827075621366e-05, + "loss": 2.2666, + "step": 1210 + }, + { + "epoch": 0.1, + "learning_rate": 1.6129032258064517e-05, + "loss": 2.2052, + "step": 1220 + }, + { + "epoch": 0.1, + "learning_rate": 1.6261237440507667e-05, + "loss": 2.2008, + "step": 1230 + }, + { + "epoch": 0.1, + "learning_rate": 1.6393442622950818e-05, + "loss": 2.2345, + "step": 1240 + }, + { + "epoch": 0.1, + "learning_rate": 1.6525647805393975e-05, + "loss": 2.1584, + "step": 1250 + }, + { + "epoch": 0.1, + "learning_rate": 1.6657852987837125e-05, + "loss": 2.0938, + "step": 1260 + }, + { + "epoch": 0.1, + "learning_rate": 1.6790058170280276e-05, + "loss": 2.123, + "step": 1270 + }, + { + "epoch": 0.1, + "learning_rate": 1.6922263352723426e-05, + "loss": 2.0644, + "step": 1280 + }, + { + "epoch": 0.1, + "learning_rate": 1.705446853516658e-05, + "loss": 2.085, + "step": 1290 + }, + { + "epoch": 0.1, + "learning_rate": 1.718667371760973e-05, + "loss": 2.1379, + "step": 1300 + }, + { + "epoch": 0.1, + "learning_rate": 1.731887890005288e-05, + "loss": 2.0422, + "step": 1310 + }, + { + "epoch": 0.1, + "learning_rate": 1.7451084082496035e-05, + "loss": 2.0226, + "step": 1320 + }, + { + "epoch": 0.11, + "learning_rate": 1.758328926493919e-05, + "loss": 2.013, + "step": 1330 + }, + { + "epoch": 0.11, + "learning_rate": 1.771549444738234e-05, + "loss": 1.9788, + "step": 1340 + }, + { + "epoch": 0.11, + "learning_rate": 1.784769962982549e-05, + "loss": 2.0106, + "step": 1350 + }, + { + "epoch": 0.11, + "learning_rate": 1.7979904812268643e-05, + "loss": 2.001, + "step": 1360 + }, + { + "epoch": 0.11, + "learning_rate": 1.8112109994711793e-05, + "loss": 1.9276, + "step": 1370 + }, + { + "epoch": 0.11, + "learning_rate": 1.8244315177154944e-05, + "loss": 1.9313, + "step": 1380 + }, + { + "epoch": 0.11, + "learning_rate": 1.8376520359598098e-05, + "loss": 1.9863, + "step": 1390 + }, + { + "epoch": 0.11, + "learning_rate": 1.850872554204125e-05, + "loss": 1.9149, + "step": 1400 + }, + { + "epoch": 0.11, + "learning_rate": 1.8640930724484402e-05, + "loss": 1.8749, + "step": 1410 + }, + { + "epoch": 0.11, + "learning_rate": 1.8773135906927552e-05, + "loss": 1.8602, + "step": 1420 + }, + { + "epoch": 0.11, + "learning_rate": 1.8905341089370703e-05, + "loss": 1.9082, + "step": 1430 + }, + { + "epoch": 0.11, + "learning_rate": 1.9037546271813856e-05, + "loss": 1.8898, + "step": 1440 + }, + { + "epoch": 0.12, + "learning_rate": 1.9169751454257007e-05, + "loss": 1.824, + "step": 1450 + }, + { + "epoch": 0.12, + "learning_rate": 1.930195663670016e-05, + "loss": 1.848, + "step": 1460 + }, + { + "epoch": 0.12, + "learning_rate": 1.943416181914331e-05, + "loss": 1.8598, + "step": 1470 + }, + { + "epoch": 0.12, + "learning_rate": 1.9566367001586465e-05, + "loss": 1.8003, + "step": 1480 + }, + { + "epoch": 0.12, + "learning_rate": 1.9698572184029615e-05, + "loss": 1.7974, + "step": 1490 + }, + { + "epoch": 0.12, + "learning_rate": 1.9830777366472766e-05, + "loss": 1.8118, + "step": 1500 + }, + { + "epoch": 0.12, + "learning_rate": 1.9962982548915916e-05, + "loss": 1.7324, + "step": 1510 + }, + { + "epoch": 0.12, + "learning_rate": 2.009518773135907e-05, + "loss": 1.7799, + "step": 1520 + }, + { + "epoch": 0.12, + "learning_rate": 2.0227392913802224e-05, + "loss": 1.7088, + "step": 1530 + }, + { + "epoch": 0.12, + "learning_rate": 2.0359598096245374e-05, + "loss": 1.745, + "step": 1540 + }, + { + "epoch": 0.12, + "learning_rate": 2.0491803278688525e-05, + "loss": 1.7512, + "step": 1550 + }, + { + "epoch": 0.12, + "learning_rate": 2.062400846113168e-05, + "loss": 1.7203, + "step": 1560 + }, + { + "epoch": 0.12, + "learning_rate": 2.075621364357483e-05, + "loss": 1.7191, + "step": 1570 + }, + { + "epoch": 0.13, + "learning_rate": 2.088841882601798e-05, + "loss": 1.7021, + "step": 1580 + }, + { + "epoch": 0.13, + "learning_rate": 2.1020624008461133e-05, + "loss": 1.6556, + "step": 1590 + }, + { + "epoch": 0.13, + "learning_rate": 2.1152829190904287e-05, + "loss": 1.6529, + "step": 1600 + }, + { + "epoch": 0.13, + "learning_rate": 2.1285034373347437e-05, + "loss": 1.687, + "step": 1610 + }, + { + "epoch": 0.13, + "learning_rate": 2.1417239555790588e-05, + "loss": 1.675, + "step": 1620 + }, + { + "epoch": 0.13, + "learning_rate": 2.154944473823374e-05, + "loss": 1.6889, + "step": 1630 + }, + { + "epoch": 0.13, + "learning_rate": 2.1681649920676892e-05, + "loss": 1.6073, + "step": 1640 + }, + { + "epoch": 0.13, + "learning_rate": 2.1813855103120042e-05, + "loss": 1.5961, + "step": 1650 + }, + { + "epoch": 0.13, + "learning_rate": 2.1946060285563193e-05, + "loss": 1.672, + "step": 1660 + }, + { + "epoch": 0.13, + "learning_rate": 2.2078265468006347e-05, + "loss": 1.6347, + "step": 1670 + }, + { + "epoch": 0.13, + "learning_rate": 2.22104706504495e-05, + "loss": 1.6274, + "step": 1680 + }, + { + "epoch": 0.13, + "learning_rate": 2.234267583289265e-05, + "loss": 1.6514, + "step": 1690 + }, + { + "epoch": 0.13, + "learning_rate": 2.24748810153358e-05, + "loss": 1.5666, + "step": 1700 + }, + { + "epoch": 0.14, + "learning_rate": 2.2607086197778955e-05, + "loss": 1.6136, + "step": 1710 + }, + { + "epoch": 0.14, + "learning_rate": 2.2739291380222105e-05, + "loss": 1.5622, + "step": 1720 + }, + { + "epoch": 0.14, + "learning_rate": 2.2871496562665256e-05, + "loss": 1.5735, + "step": 1730 + }, + { + "epoch": 0.14, + "learning_rate": 2.300370174510841e-05, + "loss": 1.5654, + "step": 1740 + }, + { + "epoch": 0.14, + "learning_rate": 2.3135906927551563e-05, + "loss": 1.5277, + "step": 1750 + }, + { + "epoch": 0.14, + "learning_rate": 2.3268112109994714e-05, + "loss": 1.664, + "step": 1760 + }, + { + "epoch": 0.14, + "learning_rate": 2.3400317292437864e-05, + "loss": 1.5339, + "step": 1770 + }, + { + "epoch": 0.14, + "learning_rate": 2.3532522474881018e-05, + "loss": 1.6034, + "step": 1780 + }, + { + "epoch": 0.14, + "learning_rate": 2.366472765732417e-05, + "loss": 1.6094, + "step": 1790 + }, + { + "epoch": 0.14, + "learning_rate": 2.379693283976732e-05, + "loss": 1.5654, + "step": 1800 + }, + { + "epoch": 0.14, + "learning_rate": 2.392913802221047e-05, + "loss": 1.5229, + "step": 1810 + }, + { + "epoch": 0.14, + "learning_rate": 2.4061343204653623e-05, + "loss": 1.5363, + "step": 1820 + }, + { + "epoch": 0.15, + "learning_rate": 2.4193548387096777e-05, + "loss": 1.5467, + "step": 1830 + }, + { + "epoch": 0.15, + "learning_rate": 2.4325753569539927e-05, + "loss": 1.5177, + "step": 1840 + }, + { + "epoch": 0.15, + "learning_rate": 2.4457958751983078e-05, + "loss": 1.5886, + "step": 1850 + }, + { + "epoch": 0.15, + "learning_rate": 2.459016393442623e-05, + "loss": 1.4747, + "step": 1860 + }, + { + "epoch": 0.15, + "learning_rate": 2.4722369116869382e-05, + "loss": 1.548, + "step": 1870 + }, + { + "epoch": 0.15, + "learning_rate": 2.4854574299312532e-05, + "loss": 1.4489, + "step": 1880 + }, + { + "epoch": 0.15, + "learning_rate": 2.4986779481755686e-05, + "loss": 1.5143, + "step": 1890 + }, + { + "epoch": 0.15, + "learning_rate": 2.5118984664198837e-05, + "loss": 1.4454, + "step": 1900 + }, + { + "epoch": 0.15, + "learning_rate": 2.5251189846641987e-05, + "loss": 1.4729, + "step": 1910 + }, + { + "epoch": 0.15, + "learning_rate": 2.5383395029085144e-05, + "loss": 1.464, + "step": 1920 + }, + { + "epoch": 0.15, + "learning_rate": 2.5515600211528295e-05, + "loss": 1.4249, + "step": 1930 + }, + { + "epoch": 0.15, + "learning_rate": 2.564780539397145e-05, + "loss": 1.4309, + "step": 1940 + }, + { + "epoch": 0.15, + "learning_rate": 2.57800105764146e-05, + "loss": 1.4612, + "step": 1950 + }, + { + "epoch": 0.16, + "learning_rate": 2.591221575885775e-05, + "loss": 1.4222, + "step": 1960 + }, + { + "epoch": 0.16, + "learning_rate": 2.60444209413009e-05, + "loss": 1.4511, + "step": 1970 + }, + { + "epoch": 0.16, + "learning_rate": 2.6176626123744053e-05, + "loss": 1.4665, + "step": 1980 + }, + { + "epoch": 0.16, + "learning_rate": 2.6308831306187204e-05, + "loss": 1.4681, + "step": 1990 + }, + { + "epoch": 0.16, + "learning_rate": 2.6441036488630354e-05, + "loss": 1.4197, + "step": 2000 + }, + { + "epoch": 0.16, + "learning_rate": 2.6573241671073508e-05, + "loss": 1.4299, + "step": 2010 + }, + { + "epoch": 0.16, + "learning_rate": 2.670544685351666e-05, + "loss": 1.4147, + "step": 2020 + }, + { + "epoch": 0.16, + "learning_rate": 2.683765203595981e-05, + "loss": 1.4352, + "step": 2030 + }, + { + "epoch": 0.16, + "learning_rate": 2.696985721840296e-05, + "loss": 1.4725, + "step": 2040 + }, + { + "epoch": 0.16, + "learning_rate": 2.7102062400846113e-05, + "loss": 1.4084, + "step": 2050 + }, + { + "epoch": 0.16, + "learning_rate": 2.7234267583289264e-05, + "loss": 1.4442, + "step": 2060 + }, + { + "epoch": 0.16, + "learning_rate": 2.736647276573242e-05, + "loss": 1.397, + "step": 2070 + }, + { + "epoch": 0.16, + "learning_rate": 2.749867794817557e-05, + "loss": 1.3977, + "step": 2080 + }, + { + "epoch": 0.17, + "learning_rate": 2.763088313061872e-05, + "loss": 1.3826, + "step": 2090 + }, + { + "epoch": 0.17, + "learning_rate": 2.7763088313061875e-05, + "loss": 1.3964, + "step": 2100 + }, + { + "epoch": 0.17, + "learning_rate": 2.7895293495505026e-05, + "loss": 1.3914, + "step": 2110 + }, + { + "epoch": 0.17, + "learning_rate": 2.8027498677948176e-05, + "loss": 1.3374, + "step": 2120 + }, + { + "epoch": 0.17, + "learning_rate": 2.815970386039133e-05, + "loss": 1.3985, + "step": 2130 + }, + { + "epoch": 0.17, + "learning_rate": 2.829190904283448e-05, + "loss": 1.3384, + "step": 2140 + }, + { + "epoch": 0.17, + "learning_rate": 2.842411422527763e-05, + "loss": 1.3818, + "step": 2150 + }, + { + "epoch": 0.17, + "learning_rate": 2.855631940772078e-05, + "loss": 1.3785, + "step": 2160 + }, + { + "epoch": 0.17, + "learning_rate": 2.8688524590163935e-05, + "loss": 1.2767, + "step": 2170 + }, + { + "epoch": 0.17, + "learning_rate": 2.8820729772607085e-05, + "loss": 1.3576, + "step": 2180 + }, + { + "epoch": 0.17, + "learning_rate": 2.8952934955050236e-05, + "loss": 1.2954, + "step": 2190 + }, + { + "epoch": 0.17, + "learning_rate": 2.908514013749339e-05, + "loss": 1.3496, + "step": 2200 + }, + { + "epoch": 0.18, + "learning_rate": 2.9217345319936547e-05, + "loss": 1.3519, + "step": 2210 + }, + { + "epoch": 0.18, + "learning_rate": 2.9349550502379697e-05, + "loss": 1.3026, + "step": 2220 + }, + { + "epoch": 0.18, + "learning_rate": 2.9481755684822848e-05, + "loss": 1.3694, + "step": 2230 + }, + { + "epoch": 0.18, + "learning_rate": 2.9613960867265998e-05, + "loss": 1.3022, + "step": 2240 + }, + { + "epoch": 0.18, + "learning_rate": 2.9746166049709152e-05, + "loss": 1.3564, + "step": 2250 + }, + { + "epoch": 0.18, + "learning_rate": 2.9878371232152302e-05, + "loss": 1.3699, + "step": 2260 + }, + { + "epoch": 0.18, + "learning_rate": 3.0010576414595453e-05, + "loss": 1.3269, + "step": 2270 + }, + { + "epoch": 0.18, + "learning_rate": 3.0142781597038607e-05, + "loss": 1.4007, + "step": 2280 + }, + { + "epoch": 0.18, + "learning_rate": 3.0274986779481757e-05, + "loss": 1.2685, + "step": 2290 + }, + { + "epoch": 0.18, + "learning_rate": 3.0407191961924907e-05, + "loss": 1.328, + "step": 2300 + }, + { + "epoch": 0.18, + "learning_rate": 3.053939714436806e-05, + "loss": 1.2992, + "step": 2310 + }, + { + "epoch": 0.18, + "learning_rate": 3.067160232681121e-05, + "loss": 1.3495, + "step": 2320 + }, + { + "epoch": 0.18, + "learning_rate": 3.0803807509254365e-05, + "loss": 1.3019, + "step": 2330 + }, + { + "epoch": 0.19, + "learning_rate": 3.0936012691697516e-05, + "loss": 1.2776, + "step": 2340 + }, + { + "epoch": 0.19, + "learning_rate": 3.106821787414067e-05, + "loss": 1.3255, + "step": 2350 + }, + { + "epoch": 0.19, + "learning_rate": 3.1200423056583823e-05, + "loss": 1.3343, + "step": 2360 + }, + { + "epoch": 0.19, + "learning_rate": 3.1332628239026974e-05, + "loss": 1.3054, + "step": 2370 + }, + { + "epoch": 0.19, + "learning_rate": 3.1464833421470124e-05, + "loss": 1.3025, + "step": 2380 + }, + { + "epoch": 0.19, + "learning_rate": 3.1597038603913275e-05, + "loss": 1.2936, + "step": 2390 + }, + { + "epoch": 0.19, + "learning_rate": 3.1729243786356425e-05, + "loss": 1.2325, + "step": 2400 + }, + { + "epoch": 0.19, + "learning_rate": 3.1861448968799576e-05, + "loss": 1.2984, + "step": 2410 + }, + { + "epoch": 0.19, + "learning_rate": 3.199365415124273e-05, + "loss": 1.3088, + "step": 2420 + }, + { + "epoch": 0.19, + "learning_rate": 3.212585933368588e-05, + "loss": 1.2412, + "step": 2430 + }, + { + "epoch": 0.19, + "learning_rate": 3.2258064516129034e-05, + "loss": 1.2971, + "step": 2440 + }, + { + "epoch": 0.19, + "learning_rate": 3.2390269698572184e-05, + "loss": 1.2618, + "step": 2450 + }, + { + "epoch": 0.2, + "learning_rate": 3.2522474881015334e-05, + "loss": 1.2842, + "step": 2460 + }, + { + "epoch": 0.2, + "learning_rate": 3.2654680063458485e-05, + "loss": 1.2856, + "step": 2470 + }, + { + "epoch": 0.2, + "learning_rate": 3.2786885245901635e-05, + "loss": 1.2906, + "step": 2480 + }, + { + "epoch": 0.2, + "learning_rate": 3.291909042834479e-05, + "loss": 1.306, + "step": 2490 + }, + { + "epoch": 0.2, + "learning_rate": 3.305129561078795e-05, + "loss": 1.2524, + "step": 2500 + }, + { + "epoch": 0.2, + "learning_rate": 3.31835007932311e-05, + "loss": 1.236, + "step": 2510 + }, + { + "epoch": 0.2, + "learning_rate": 3.331570597567425e-05, + "loss": 1.2734, + "step": 2520 + }, + { + "epoch": 0.2, + "learning_rate": 3.34479111581174e-05, + "loss": 1.2939, + "step": 2530 + }, + { + "epoch": 0.2, + "learning_rate": 3.358011634056055e-05, + "loss": 1.2459, + "step": 2540 + }, + { + "epoch": 0.2, + "learning_rate": 3.37123215230037e-05, + "loss": 1.2604, + "step": 2550 + }, + { + "epoch": 0.2, + "learning_rate": 3.384452670544685e-05, + "loss": 1.3138, + "step": 2560 + }, + { + "epoch": 0.2, + "learning_rate": 3.397673188789001e-05, + "loss": 1.2595, + "step": 2570 + }, + { + "epoch": 0.2, + "learning_rate": 3.410893707033316e-05, + "loss": 1.2752, + "step": 2580 + }, + { + "epoch": 0.21, + "learning_rate": 3.424114225277631e-05, + "loss": 1.1998, + "step": 2590 + }, + { + "epoch": 0.21, + "learning_rate": 3.437334743521946e-05, + "loss": 1.2713, + "step": 2600 + }, + { + "epoch": 0.21, + "learning_rate": 3.450555261766261e-05, + "loss": 1.2832, + "step": 2610 + }, + { + "epoch": 0.21, + "learning_rate": 3.463775780010576e-05, + "loss": 1.2062, + "step": 2620 + }, + { + "epoch": 0.21, + "learning_rate": 3.476996298254891e-05, + "loss": 1.2631, + "step": 2630 + }, + { + "epoch": 0.21, + "learning_rate": 3.490216816499207e-05, + "loss": 1.2551, + "step": 2640 + }, + { + "epoch": 0.21, + "learning_rate": 3.5034373347435226e-05, + "loss": 1.2405, + "step": 2650 + }, + { + "epoch": 0.21, + "learning_rate": 3.516657852987838e-05, + "loss": 1.1769, + "step": 2660 + }, + { + "epoch": 0.21, + "learning_rate": 3.529878371232153e-05, + "loss": 1.2036, + "step": 2670 + }, + { + "epoch": 0.21, + "learning_rate": 3.543098889476468e-05, + "loss": 1.2572, + "step": 2680 + }, + { + "epoch": 0.21, + "learning_rate": 3.556319407720783e-05, + "loss": 1.2428, + "step": 2690 + }, + { + "epoch": 0.21, + "learning_rate": 3.569539925965098e-05, + "loss": 1.2261, + "step": 2700 + }, + { + "epoch": 0.21, + "learning_rate": 3.582760444209413e-05, + "loss": 1.2696, + "step": 2710 + }, + { + "epoch": 0.22, + "learning_rate": 3.5959809624537286e-05, + "loss": 1.211, + "step": 2720 + }, + { + "epoch": 0.22, + "learning_rate": 3.6092014806980436e-05, + "loss": 1.2475, + "step": 2730 + }, + { + "epoch": 0.22, + "learning_rate": 3.622421998942359e-05, + "loss": 1.2716, + "step": 2740 + }, + { + "epoch": 0.22, + "learning_rate": 3.635642517186674e-05, + "loss": 1.2766, + "step": 2750 + }, + { + "epoch": 0.22, + "learning_rate": 3.648863035430989e-05, + "loss": 1.2155, + "step": 2760 + }, + { + "epoch": 0.22, + "learning_rate": 3.662083553675304e-05, + "loss": 1.2578, + "step": 2770 + }, + { + "epoch": 0.22, + "learning_rate": 3.6753040719196195e-05, + "loss": 1.1874, + "step": 2780 + }, + { + "epoch": 0.22, + "learning_rate": 3.6885245901639346e-05, + "loss": 1.1888, + "step": 2790 + }, + { + "epoch": 0.22, + "learning_rate": 3.70174510840825e-05, + "loss": 1.2269, + "step": 2800 + }, + { + "epoch": 0.22, + "learning_rate": 3.714965626652565e-05, + "loss": 1.1628, + "step": 2810 + }, + { + "epoch": 0.22, + "learning_rate": 3.7281861448968804e-05, + "loss": 1.1903, + "step": 2820 + }, + { + "epoch": 0.22, + "learning_rate": 3.7414066631411954e-05, + "loss": 1.1944, + "step": 2830 + }, + { + "epoch": 0.23, + "learning_rate": 3.7546271813855104e-05, + "loss": 1.2125, + "step": 2840 + }, + { + "epoch": 0.23, + "learning_rate": 3.7678476996298255e-05, + "loss": 1.1776, + "step": 2850 + }, + { + "epoch": 0.23, + "learning_rate": 3.7810682178741405e-05, + "loss": 1.2057, + "step": 2860 + }, + { + "epoch": 0.23, + "learning_rate": 3.794288736118456e-05, + "loss": 1.2036, + "step": 2870 + }, + { + "epoch": 0.23, + "learning_rate": 3.807509254362771e-05, + "loss": 1.2108, + "step": 2880 + }, + { + "epoch": 0.23, + "learning_rate": 3.820729772607086e-05, + "loss": 1.2276, + "step": 2890 + }, + { + "epoch": 0.23, + "learning_rate": 3.8339502908514014e-05, + "loss": 1.1962, + "step": 2900 + }, + { + "epoch": 0.23, + "learning_rate": 3.8471708090957164e-05, + "loss": 1.2506, + "step": 2910 + }, + { + "epoch": 0.23, + "learning_rate": 3.860391327340032e-05, + "loss": 1.2194, + "step": 2920 + }, + { + "epoch": 0.23, + "learning_rate": 3.873611845584347e-05, + "loss": 1.2596, + "step": 2930 + }, + { + "epoch": 0.23, + "learning_rate": 3.886832363828662e-05, + "loss": 1.1833, + "step": 2940 + }, + { + "epoch": 0.23, + "learning_rate": 3.900052882072977e-05, + "loss": 1.1901, + "step": 2950 + }, + { + "epoch": 0.23, + "learning_rate": 3.913273400317293e-05, + "loss": 1.2302, + "step": 2960 + }, + { + "epoch": 0.24, + "learning_rate": 3.926493918561608e-05, + "loss": 1.2149, + "step": 2970 + }, + { + "epoch": 0.24, + "learning_rate": 3.939714436805923e-05, + "loss": 1.2127, + "step": 2980 + }, + { + "epoch": 0.24, + "learning_rate": 3.952934955050238e-05, + "loss": 1.1905, + "step": 2990 + }, + { + "epoch": 0.24, + "learning_rate": 3.966155473294553e-05, + "loss": 1.1154, + "step": 3000 + }, + { + "epoch": 0.24, + "learning_rate": 3.979375991538868e-05, + "loss": 1.158, + "step": 3010 + }, + { + "epoch": 0.24, + "learning_rate": 3.992596509783183e-05, + "loss": 1.1861, + "step": 3020 + }, + { + "epoch": 0.24, + "learning_rate": 4.005817028027499e-05, + "loss": 1.2127, + "step": 3030 + }, + { + "epoch": 0.24, + "learning_rate": 4.019037546271814e-05, + "loss": 1.1856, + "step": 3040 + }, + { + "epoch": 0.24, + "learning_rate": 4.032258064516129e-05, + "loss": 1.2378, + "step": 3050 + }, + { + "epoch": 0.24, + "learning_rate": 4.045478582760445e-05, + "loss": 1.1807, + "step": 3060 + }, + { + "epoch": 0.24, + "learning_rate": 4.05869910100476e-05, + "loss": 1.1552, + "step": 3070 + }, + { + "epoch": 0.24, + "learning_rate": 4.071919619249075e-05, + "loss": 1.1293, + "step": 3080 + }, + { + "epoch": 0.25, + "learning_rate": 4.08514013749339e-05, + "loss": 1.1768, + "step": 3090 + }, + { + "epoch": 0.25, + "learning_rate": 4.098360655737705e-05, + "loss": 1.1249, + "step": 3100 + }, + { + "epoch": 0.25, + "learning_rate": 4.1115811739820206e-05, + "loss": 1.1174, + "step": 3110 + }, + { + "epoch": 0.25, + "learning_rate": 4.124801692226336e-05, + "loss": 1.1545, + "step": 3120 + }, + { + "epoch": 0.25, + "learning_rate": 4.138022210470651e-05, + "loss": 1.1336, + "step": 3130 + }, + { + "epoch": 0.25, + "learning_rate": 4.151242728714966e-05, + "loss": 1.1194, + "step": 3140 + }, + { + "epoch": 0.25, + "learning_rate": 4.164463246959281e-05, + "loss": 1.1712, + "step": 3150 + }, + { + "epoch": 0.25, + "learning_rate": 4.177683765203596e-05, + "loss": 1.1527, + "step": 3160 + }, + { + "epoch": 0.25, + "learning_rate": 4.190904283447911e-05, + "loss": 1.1586, + "step": 3170 + }, + { + "epoch": 0.25, + "learning_rate": 4.2041248016922266e-05, + "loss": 1.1713, + "step": 3180 + }, + { + "epoch": 0.25, + "learning_rate": 4.2173453199365416e-05, + "loss": 1.1287, + "step": 3190 + }, + { + "epoch": 0.25, + "learning_rate": 4.2305658381808574e-05, + "loss": 1.1501, + "step": 3200 + }, + { + "epoch": 0.25, + "learning_rate": 4.2437863564251724e-05, + "loss": 1.1235, + "step": 3210 + }, + { + "epoch": 0.26, + "learning_rate": 4.2570068746694874e-05, + "loss": 1.1414, + "step": 3220 + }, + { + "epoch": 0.26, + "learning_rate": 4.2702273929138025e-05, + "loss": 1.1427, + "step": 3230 + }, + { + "epoch": 0.26, + "learning_rate": 4.2834479111581175e-05, + "loss": 1.0933, + "step": 3240 + }, + { + "epoch": 0.26, + "learning_rate": 4.2966684294024326e-05, + "loss": 1.2132, + "step": 3250 + }, + { + "epoch": 0.26, + "learning_rate": 4.309888947646748e-05, + "loss": 1.0981, + "step": 3260 + }, + { + "epoch": 0.26, + "learning_rate": 4.323109465891063e-05, + "loss": 1.1652, + "step": 3270 + }, + { + "epoch": 0.26, + "learning_rate": 4.3363299841353784e-05, + "loss": 1.0994, + "step": 3280 + }, + { + "epoch": 0.26, + "learning_rate": 4.3495505023796934e-05, + "loss": 1.1346, + "step": 3290 + }, + { + "epoch": 0.26, + "learning_rate": 4.3627710206240085e-05, + "loss": 1.1514, + "step": 3300 + }, + { + "epoch": 0.26, + "learning_rate": 4.3759915388683235e-05, + "loss": 1.0706, + "step": 3310 + }, + { + "epoch": 0.26, + "learning_rate": 4.3892120571126385e-05, + "loss": 1.1173, + "step": 3320 + }, + { + "epoch": 0.26, + "learning_rate": 4.402432575356954e-05, + "loss": 1.1702, + "step": 3330 + }, + { + "epoch": 0.26, + "learning_rate": 4.415653093601269e-05, + "loss": 1.1624, + "step": 3340 + }, + { + "epoch": 0.27, + "learning_rate": 4.428873611845585e-05, + "loss": 1.1331, + "step": 3350 + }, + { + "epoch": 0.27, + "learning_rate": 4.4420941300899e-05, + "loss": 1.1668, + "step": 3360 + }, + { + "epoch": 0.27, + "learning_rate": 4.455314648334215e-05, + "loss": 1.1069, + "step": 3370 + }, + { + "epoch": 0.27, + "learning_rate": 4.46853516657853e-05, + "loss": 1.1323, + "step": 3380 + }, + { + "epoch": 0.27, + "learning_rate": 4.481755684822845e-05, + "loss": 1.1333, + "step": 3390 + }, + { + "epoch": 0.27, + "learning_rate": 4.49497620306716e-05, + "loss": 1.0968, + "step": 3400 + }, + { + "epoch": 0.27, + "learning_rate": 4.508196721311476e-05, + "loss": 1.1326, + "step": 3410 + }, + { + "epoch": 0.27, + "learning_rate": 4.521417239555791e-05, + "loss": 1.1067, + "step": 3420 + }, + { + "epoch": 0.27, + "learning_rate": 4.534637757800106e-05, + "loss": 1.117, + "step": 3430 + }, + { + "epoch": 0.27, + "learning_rate": 4.547858276044421e-05, + "loss": 1.1481, + "step": 3440 + }, + { + "epoch": 0.27, + "learning_rate": 4.561078794288736e-05, + "loss": 1.1456, + "step": 3450 + }, + { + "epoch": 0.27, + "learning_rate": 4.574299312533051e-05, + "loss": 1.1022, + "step": 3460 + }, + { + "epoch": 0.28, + "learning_rate": 4.587519830777366e-05, + "loss": 1.1551, + "step": 3470 + }, + { + "epoch": 0.28, + "learning_rate": 4.600740349021682e-05, + "loss": 1.1018, + "step": 3480 + }, + { + "epoch": 0.28, + "learning_rate": 4.6139608672659976e-05, + "loss": 1.1383, + "step": 3490 + }, + { + "epoch": 0.28, + "learning_rate": 4.627181385510313e-05, + "loss": 1.1411, + "step": 3500 + }, + { + "epoch": 0.28, + "learning_rate": 4.640401903754628e-05, + "loss": 1.0941, + "step": 3510 + }, + { + "epoch": 0.28, + "learning_rate": 4.653622421998943e-05, + "loss": 1.0946, + "step": 3520 + }, + { + "epoch": 0.28, + "learning_rate": 4.666842940243258e-05, + "loss": 1.1184, + "step": 3530 + }, + { + "epoch": 0.28, + "learning_rate": 4.680063458487573e-05, + "loss": 1.1084, + "step": 3540 + }, + { + "epoch": 0.28, + "learning_rate": 4.693283976731888e-05, + "loss": 1.1608, + "step": 3550 + }, + { + "epoch": 0.28, + "learning_rate": 4.7065044949762036e-05, + "loss": 1.0914, + "step": 3560 + }, + { + "epoch": 0.28, + "learning_rate": 4.7197250132205186e-05, + "loss": 1.1114, + "step": 3570 + }, + { + "epoch": 0.28, + "learning_rate": 4.732945531464834e-05, + "loss": 1.1296, + "step": 3580 + }, + { + "epoch": 0.28, + "learning_rate": 4.746166049709149e-05, + "loss": 1.1169, + "step": 3590 + }, + { + "epoch": 0.29, + "learning_rate": 4.759386567953464e-05, + "loss": 1.1281, + "step": 3600 + }, + { + "epoch": 0.29, + "learning_rate": 4.772607086197779e-05, + "loss": 1.1119, + "step": 3610 + }, + { + "epoch": 0.29, + "learning_rate": 4.785827604442094e-05, + "loss": 1.1357, + "step": 3620 + }, + { + "epoch": 0.29, + "learning_rate": 4.7990481226864096e-05, + "loss": 1.1205, + "step": 3630 + }, + { + "epoch": 0.29, + "learning_rate": 4.8122686409307246e-05, + "loss": 1.1445, + "step": 3640 + }, + { + "epoch": 0.29, + "learning_rate": 4.82548915917504e-05, + "loss": 1.1026, + "step": 3650 + }, + { + "epoch": 0.29, + "learning_rate": 4.8387096774193554e-05, + "loss": 1.1373, + "step": 3660 + }, + { + "epoch": 0.29, + "learning_rate": 4.8519301956636704e-05, + "loss": 1.1154, + "step": 3670 + }, + { + "epoch": 0.29, + "learning_rate": 4.8651507139079855e-05, + "loss": 1.1175, + "step": 3680 + }, + { + "epoch": 0.29, + "learning_rate": 4.8783712321523005e-05, + "loss": 1.0834, + "step": 3690 + }, + { + "epoch": 0.29, + "learning_rate": 4.8915917503966155e-05, + "loss": 1.0919, + "step": 3700 + }, + { + "epoch": 0.29, + "learning_rate": 4.9048122686409306e-05, + "loss": 1.0724, + "step": 3710 + }, + { + "epoch": 0.3, + "learning_rate": 4.918032786885246e-05, + "loss": 1.1008, + "step": 3720 + }, + { + "epoch": 0.3, + "learning_rate": 4.9312533051295613e-05, + "loss": 1.1422, + "step": 3730 + }, + { + "epoch": 0.3, + "learning_rate": 4.9444738233738764e-05, + "loss": 1.1226, + "step": 3740 + }, + { + "epoch": 0.3, + "learning_rate": 4.9576943416181914e-05, + "loss": 1.0252, + "step": 3750 + }, + { + "epoch": 0.3, + "learning_rate": 4.9709148598625065e-05, + "loss": 1.1189, + "step": 3760 + }, + { + "epoch": 0.3, + "learning_rate": 4.984135378106822e-05, + "loss": 1.1417, + "step": 3770 + }, + { + "epoch": 0.3, + "learning_rate": 4.997355896351137e-05, + "loss": 1.0808, + "step": 3780 + }, + { + "epoch": 0.3, + "learning_rate": 4.998824773768951e-05, + "loss": 1.0934, + "step": 3790 + }, + { + "epoch": 0.3, + "learning_rate": 4.997355740980139e-05, + "loss": 1.0674, + "step": 3800 + }, + { + "epoch": 0.3, + "learning_rate": 4.9958867081913267e-05, + "loss": 1.1266, + "step": 3810 + }, + { + "epoch": 0.3, + "learning_rate": 4.9944176754025155e-05, + "loss": 1.1221, + "step": 3820 + }, + { + "epoch": 0.3, + "learning_rate": 4.9929486426137036e-05, + "loss": 1.1156, + "step": 3830 + }, + { + "epoch": 0.3, + "learning_rate": 4.991479609824892e-05, + "loss": 1.1261, + "step": 3840 + }, + { + "epoch": 0.31, + "learning_rate": 4.990010577036079e-05, + "loss": 1.1171, + "step": 3850 + }, + { + "epoch": 0.31, + "learning_rate": 4.9885415442472674e-05, + "loss": 1.1303, + "step": 3860 + }, + { + "epoch": 0.31, + "learning_rate": 4.987072511458456e-05, + "loss": 1.1185, + "step": 3870 + }, + { + "epoch": 0.31, + "learning_rate": 4.9856034786696444e-05, + "loss": 1.1262, + "step": 3880 + }, + { + "epoch": 0.31, + "learning_rate": 4.9841344458808325e-05, + "loss": 1.1094, + "step": 3890 + }, + { + "epoch": 0.31, + "learning_rate": 4.98266541309202e-05, + "loss": 1.1499, + "step": 3900 + }, + { + "epoch": 0.31, + "learning_rate": 4.981196380303209e-05, + "loss": 1.0938, + "step": 3910 + }, + { + "epoch": 0.31, + "learning_rate": 4.979727347514397e-05, + "loss": 1.1202, + "step": 3920 + }, + { + "epoch": 0.31, + "learning_rate": 4.978258314725585e-05, + "loss": 1.1034, + "step": 3930 + }, + { + "epoch": 0.31, + "learning_rate": 4.9767892819367726e-05, + "loss": 1.0568, + "step": 3940 + }, + { + "epoch": 0.31, + "learning_rate": 4.9753202491479614e-05, + "loss": 1.1165, + "step": 3950 + }, + { + "epoch": 0.31, + "learning_rate": 4.9738512163591496e-05, + "loss": 1.0565, + "step": 3960 + }, + { + "epoch": 0.31, + "learning_rate": 4.972382183570338e-05, + "loss": 1.1031, + "step": 3970 + }, + { + "epoch": 0.32, + "learning_rate": 4.970913150781525e-05, + "loss": 1.0915, + "step": 3980 + }, + { + "epoch": 0.32, + "learning_rate": 4.9694441179927134e-05, + "loss": 1.0822, + "step": 3990 + }, + { + "epoch": 0.32, + "learning_rate": 4.967975085203902e-05, + "loss": 1.033, + "step": 4000 + }, + { + "epoch": 0.32, + "learning_rate": 4.9665060524150903e-05, + "loss": 1.0827, + "step": 4010 + }, + { + "epoch": 0.32, + "learning_rate": 4.9650370196262785e-05, + "loss": 1.1098, + "step": 4020 + }, + { + "epoch": 0.32, + "learning_rate": 4.963567986837466e-05, + "loss": 1.1144, + "step": 4030 + }, + { + "epoch": 0.32, + "learning_rate": 4.962098954048655e-05, + "loss": 1.1156, + "step": 4040 + }, + { + "epoch": 0.32, + "learning_rate": 4.960629921259843e-05, + "loss": 1.0344, + "step": 4050 + }, + { + "epoch": 0.32, + "learning_rate": 4.959160888471031e-05, + "loss": 1.0137, + "step": 4060 + }, + { + "epoch": 0.32, + "learning_rate": 4.9576918556822186e-05, + "loss": 1.064, + "step": 4070 + }, + { + "epoch": 0.32, + "learning_rate": 4.9562228228934074e-05, + "loss": 1.0881, + "step": 4080 + }, + { + "epoch": 0.32, + "learning_rate": 4.9547537901045955e-05, + "loss": 1.0326, + "step": 4090 + }, + { + "epoch": 0.33, + "learning_rate": 4.953284757315784e-05, + "loss": 1.0487, + "step": 4100 + }, + { + "epoch": 0.33, + "learning_rate": 4.951815724526972e-05, + "loss": 1.0543, + "step": 4110 + }, + { + "epoch": 0.33, + "learning_rate": 4.95034669173816e-05, + "loss": 1.033, + "step": 4120 + }, + { + "epoch": 0.33, + "learning_rate": 4.948877658949348e-05, + "loss": 1.0469, + "step": 4130 + }, + { + "epoch": 0.33, + "learning_rate": 4.947408626160536e-05, + "loss": 1.054, + "step": 4140 + }, + { + "epoch": 0.33, + "learning_rate": 4.9459395933717244e-05, + "loss": 1.0159, + "step": 4150 + }, + { + "epoch": 0.33, + "learning_rate": 4.944470560582912e-05, + "loss": 1.1134, + "step": 4160 + }, + { + "epoch": 0.33, + "learning_rate": 4.943001527794101e-05, + "loss": 1.013, + "step": 4170 + }, + { + "epoch": 0.33, + "learning_rate": 4.941532495005289e-05, + "loss": 1.0067, + "step": 4180 + }, + { + "epoch": 0.33, + "learning_rate": 4.940063462216477e-05, + "loss": 1.069, + "step": 4190 + }, + { + "epoch": 0.33, + "learning_rate": 4.9385944294276645e-05, + "loss": 1.0707, + "step": 4200 + }, + { + "epoch": 0.33, + "learning_rate": 4.9371253966388534e-05, + "loss": 1.04, + "step": 4210 + }, + { + "epoch": 0.33, + "learning_rate": 4.9356563638500415e-05, + "loss": 1.0992, + "step": 4220 + }, + { + "epoch": 0.34, + "learning_rate": 4.9341873310612297e-05, + "loss": 1.0531, + "step": 4230 + }, + { + "epoch": 0.34, + "learning_rate": 4.932718298272418e-05, + "loss": 1.0138, + "step": 4240 + }, + { + "epoch": 0.34, + "learning_rate": 4.931249265483606e-05, + "loss": 1.0672, + "step": 4250 + }, + { + "epoch": 0.34, + "learning_rate": 4.929780232694794e-05, + "loss": 1.0637, + "step": 4260 + }, + { + "epoch": 0.34, + "learning_rate": 4.928311199905982e-05, + "loss": 1.064, + "step": 4270 + }, + { + "epoch": 0.34, + "learning_rate": 4.9268421671171704e-05, + "loss": 1.0332, + "step": 4280 + }, + { + "epoch": 0.34, + "learning_rate": 4.9253731343283586e-05, + "loss": 1.0582, + "step": 4290 + }, + { + "epoch": 0.34, + "learning_rate": 4.923904101539547e-05, + "loss": 1.0621, + "step": 4300 + }, + { + "epoch": 0.34, + "learning_rate": 4.922435068750735e-05, + "loss": 1.05, + "step": 4310 + }, + { + "epoch": 0.34, + "learning_rate": 4.920966035961923e-05, + "loss": 1.0859, + "step": 4320 + }, + { + "epoch": 0.34, + "learning_rate": 4.9194970031731105e-05, + "loss": 1.0393, + "step": 4330 + }, + { + "epoch": 0.34, + "learning_rate": 4.918027970384299e-05, + "loss": 1.024, + "step": 4340 + }, + { + "epoch": 0.35, + "learning_rate": 4.9165589375954875e-05, + "loss": 1.0263, + "step": 4350 + }, + { + "epoch": 0.35, + "learning_rate": 4.9150899048066756e-05, + "loss": 1.0618, + "step": 4360 + }, + { + "epoch": 0.35, + "learning_rate": 4.913620872017864e-05, + "loss": 1.0673, + "step": 4370 + }, + { + "epoch": 0.35, + "learning_rate": 4.912151839229052e-05, + "loss": 0.9843, + "step": 4380 + }, + { + "epoch": 0.35, + "learning_rate": 4.91068280644024e-05, + "loss": 1.043, + "step": 4390 + }, + { + "epoch": 0.35, + "learning_rate": 4.909213773651428e-05, + "loss": 1.0507, + "step": 4400 + }, + { + "epoch": 0.35, + "learning_rate": 4.9077447408626164e-05, + "loss": 1.1045, + "step": 4410 + }, + { + "epoch": 0.35, + "learning_rate": 4.9062757080738045e-05, + "loss": 1.0863, + "step": 4420 + }, + { + "epoch": 0.35, + "learning_rate": 4.904806675284993e-05, + "loss": 1.0353, + "step": 4430 + }, + { + "epoch": 0.35, + "learning_rate": 4.903337642496181e-05, + "loss": 1.0651, + "step": 4440 + }, + { + "epoch": 0.35, + "learning_rate": 4.901868609707369e-05, + "loss": 1.0464, + "step": 4450 + }, + { + "epoch": 0.35, + "learning_rate": 4.900399576918557e-05, + "loss": 1.114, + "step": 4460 + }, + { + "epoch": 0.35, + "learning_rate": 4.898930544129745e-05, + "loss": 1.0555, + "step": 4470 + }, + { + "epoch": 0.36, + "learning_rate": 4.8974615113409334e-05, + "loss": 1.0387, + "step": 4480 + }, + { + "epoch": 0.36, + "learning_rate": 4.8959924785521216e-05, + "loss": 1.0201, + "step": 4490 + }, + { + "epoch": 0.36, + "learning_rate": 4.89452344576331e-05, + "loss": 1.0673, + "step": 4500 + }, + { + "epoch": 0.36, + "learning_rate": 4.893054412974498e-05, + "loss": 1.0352, + "step": 4510 + }, + { + "epoch": 0.36, + "learning_rate": 4.891585380185686e-05, + "loss": 0.9945, + "step": 4520 + }, + { + "epoch": 0.36, + "learning_rate": 4.890116347396874e-05, + "loss": 0.9549, + "step": 4530 + }, + { + "epoch": 0.36, + "learning_rate": 4.888647314608062e-05, + "loss": 1.0581, + "step": 4540 + }, + { + "epoch": 0.36, + "learning_rate": 4.8871782818192505e-05, + "loss": 1.04, + "step": 4550 + }, + { + "epoch": 0.36, + "learning_rate": 4.8857092490304386e-05, + "loss": 1.073, + "step": 4560 + }, + { + "epoch": 0.36, + "learning_rate": 4.884240216241627e-05, + "loss": 1.0464, + "step": 4570 + }, + { + "epoch": 0.36, + "learning_rate": 4.882771183452815e-05, + "loss": 1.0713, + "step": 4580 + }, + { + "epoch": 0.36, + "learning_rate": 4.881302150664003e-05, + "loss": 0.9706, + "step": 4590 + }, + { + "epoch": 0.36, + "learning_rate": 4.879833117875191e-05, + "loss": 0.984, + "step": 4600 + }, + { + "epoch": 0.37, + "learning_rate": 4.8783640850863794e-05, + "loss": 1.0161, + "step": 4610 + }, + { + "epoch": 0.37, + "learning_rate": 4.8768950522975675e-05, + "loss": 1.0286, + "step": 4620 + }, + { + "epoch": 0.37, + "learning_rate": 4.875426019508756e-05, + "loss": 1.0362, + "step": 4630 + }, + { + "epoch": 0.37, + "learning_rate": 4.873956986719944e-05, + "loss": 1.0545, + "step": 4640 + }, + { + "epoch": 0.37, + "learning_rate": 4.872487953931132e-05, + "loss": 1.0084, + "step": 4650 + }, + { + "epoch": 0.37, + "learning_rate": 4.87101892114232e-05, + "loss": 1.0738, + "step": 4660 + }, + { + "epoch": 0.37, + "learning_rate": 4.869549888353508e-05, + "loss": 1.038, + "step": 4670 + }, + { + "epoch": 0.37, + "learning_rate": 4.8680808555646964e-05, + "loss": 1.043, + "step": 4680 + }, + { + "epoch": 0.37, + "learning_rate": 4.8666118227758846e-05, + "loss": 0.9706, + "step": 4690 + }, + { + "epoch": 0.37, + "learning_rate": 4.865142789987073e-05, + "loss": 1.0215, + "step": 4700 + }, + { + "epoch": 0.37, + "learning_rate": 4.863673757198261e-05, + "loss": 0.9936, + "step": 4710 + }, + { + "epoch": 0.37, + "learning_rate": 4.862204724409449e-05, + "loss": 0.9612, + "step": 4720 + }, + { + "epoch": 0.38, + "learning_rate": 4.860735691620637e-05, + "loss": 1.0079, + "step": 4730 + }, + { + "epoch": 0.38, + "learning_rate": 4.859266658831825e-05, + "loss": 0.9488, + "step": 4740 + }, + { + "epoch": 0.38, + "learning_rate": 4.8577976260430135e-05, + "loss": 1.0819, + "step": 4750 + }, + { + "epoch": 0.38, + "learning_rate": 4.8563285932542016e-05, + "loss": 1.0074, + "step": 4760 + }, + { + "epoch": 0.38, + "learning_rate": 4.85485956046539e-05, + "loss": 1.0684, + "step": 4770 + }, + { + "epoch": 0.38, + "learning_rate": 4.853390527676578e-05, + "loss": 0.9414, + "step": 4780 + }, + { + "epoch": 0.38, + "learning_rate": 4.851921494887766e-05, + "loss": 1.0441, + "step": 4790 + }, + { + "epoch": 0.38, + "learning_rate": 4.850452462098954e-05, + "loss": 1.0685, + "step": 4800 + }, + { + "epoch": 0.38, + "learning_rate": 4.8489834293101424e-05, + "loss": 0.9934, + "step": 4810 + }, + { + "epoch": 0.38, + "learning_rate": 4.8475143965213305e-05, + "loss": 0.9733, + "step": 4820 + }, + { + "epoch": 0.38, + "learning_rate": 4.846045363732519e-05, + "loss": 0.9903, + "step": 4830 + }, + { + "epoch": 0.38, + "learning_rate": 4.844576330943707e-05, + "loss": 1.0722, + "step": 4840 + }, + { + "epoch": 0.38, + "learning_rate": 4.843107298154895e-05, + "loss": 1.0111, + "step": 4850 + }, + { + "epoch": 0.39, + "learning_rate": 4.841638265366083e-05, + "loss": 1.0381, + "step": 4860 + }, + { + "epoch": 0.39, + "learning_rate": 4.840169232577271e-05, + "loss": 0.9838, + "step": 4870 + }, + { + "epoch": 0.39, + "learning_rate": 4.8387001997884594e-05, + "loss": 1.0219, + "step": 4880 + }, + { + "epoch": 0.39, + "learning_rate": 4.8372311669996476e-05, + "loss": 0.9365, + "step": 4890 + }, + { + "epoch": 0.39, + "learning_rate": 4.835762134210836e-05, + "loss": 1.0131, + "step": 4900 + }, + { + "epoch": 0.39, + "learning_rate": 4.834293101422024e-05, + "loss": 0.9864, + "step": 4910 + }, + { + "epoch": 0.39, + "learning_rate": 4.832824068633212e-05, + "loss": 0.9772, + "step": 4920 + }, + { + "epoch": 0.39, + "learning_rate": 4.8313550358444e-05, + "loss": 1.0298, + "step": 4930 + }, + { + "epoch": 0.39, + "learning_rate": 4.829886003055589e-05, + "loss": 1.0244, + "step": 4940 + }, + { + "epoch": 0.39, + "learning_rate": 4.8284169702667765e-05, + "loss": 0.9372, + "step": 4950 + }, + { + "epoch": 0.39, + "learning_rate": 4.8269479374779646e-05, + "loss": 1.0092, + "step": 4960 + }, + { + "epoch": 0.39, + "learning_rate": 4.825478904689153e-05, + "loss": 1.0105, + "step": 4970 + }, + { + "epoch": 0.4, + "learning_rate": 4.824009871900341e-05, + "loss": 1.0607, + "step": 4980 + }, + { + "epoch": 0.4, + "learning_rate": 4.822540839111529e-05, + "loss": 1.0366, + "step": 4990 + }, + { + "epoch": 0.4, + "learning_rate": 4.821071806322717e-05, + "loss": 1.0177, + "step": 5000 + }, + { + "epoch": 0.4, + "learning_rate": 4.8196027735339054e-05, + "loss": 1.0202, + "step": 5010 + }, + { + "epoch": 0.4, + "learning_rate": 4.8181337407450935e-05, + "loss": 1.0351, + "step": 5020 + }, + { + "epoch": 0.4, + "learning_rate": 4.816664707956282e-05, + "loss": 0.9626, + "step": 5030 + }, + { + "epoch": 0.4, + "learning_rate": 4.81519567516747e-05, + "loss": 0.9936, + "step": 5040 + }, + { + "epoch": 0.4, + "learning_rate": 4.813726642378658e-05, + "loss": 0.9953, + "step": 5050 + }, + { + "epoch": 0.4, + "learning_rate": 4.812257609589846e-05, + "loss": 1.0137, + "step": 5060 + }, + { + "epoch": 0.4, + "learning_rate": 4.810788576801035e-05, + "loss": 0.9925, + "step": 5070 + }, + { + "epoch": 0.4, + "learning_rate": 4.8093195440122224e-05, + "loss": 1.012, + "step": 5080 + }, + { + "epoch": 0.4, + "learning_rate": 4.8078505112234106e-05, + "loss": 1.0516, + "step": 5090 + }, + { + "epoch": 0.4, + "learning_rate": 4.806381478434599e-05, + "loss": 0.9799, + "step": 5100 + }, + { + "epoch": 0.41, + "learning_rate": 4.8049124456457876e-05, + "loss": 1.0051, + "step": 5110 + }, + { + "epoch": 0.41, + "learning_rate": 4.803443412856975e-05, + "loss": 1.0288, + "step": 5120 + }, + { + "epoch": 0.41, + "learning_rate": 4.801974380068163e-05, + "loss": 1.0292, + "step": 5130 + }, + { + "epoch": 0.41, + "learning_rate": 4.8005053472793513e-05, + "loss": 1.0574, + "step": 5140 + }, + { + "epoch": 0.41, + "learning_rate": 4.7990363144905395e-05, + "loss": 1.0203, + "step": 5150 + }, + { + "epoch": 0.41, + "learning_rate": 4.797567281701728e-05, + "loss": 0.9617, + "step": 5160 + }, + { + "epoch": 0.41, + "learning_rate": 4.796098248912916e-05, + "loss": 0.9966, + "step": 5170 + }, + { + "epoch": 0.41, + "learning_rate": 4.794629216124104e-05, + "loss": 1.004, + "step": 5180 + }, + { + "epoch": 0.41, + "learning_rate": 4.793160183335292e-05, + "loss": 1.0078, + "step": 5190 + }, + { + "epoch": 0.41, + "learning_rate": 4.791691150546481e-05, + "loss": 0.9553, + "step": 5200 + }, + { + "epoch": 0.41, + "learning_rate": 4.7902221177576684e-05, + "loss": 0.9471, + "step": 5210 + }, + { + "epoch": 0.41, + "learning_rate": 4.7887530849688566e-05, + "loss": 1.014, + "step": 5220 + }, + { + "epoch": 0.41, + "learning_rate": 4.787284052180045e-05, + "loss": 1.024, + "step": 5230 + }, + { + "epoch": 0.42, + "learning_rate": 4.7858150193912335e-05, + "loss": 1.054, + "step": 5240 + }, + { + "epoch": 0.42, + "learning_rate": 4.784345986602421e-05, + "loss": 1.0298, + "step": 5250 + }, + { + "epoch": 0.42, + "learning_rate": 4.782876953813609e-05, + "loss": 1.0335, + "step": 5260 + }, + { + "epoch": 0.42, + "learning_rate": 4.781407921024797e-05, + "loss": 0.9946, + "step": 5270 + }, + { + "epoch": 0.42, + "learning_rate": 4.7799388882359855e-05, + "loss": 1.0251, + "step": 5280 + }, + { + "epoch": 0.42, + "learning_rate": 4.778469855447174e-05, + "loss": 0.9556, + "step": 5290 + }, + { + "epoch": 0.42, + "learning_rate": 4.777000822658362e-05, + "loss": 1.0366, + "step": 5300 + }, + { + "epoch": 0.42, + "learning_rate": 4.77553178986955e-05, + "loss": 0.9919, + "step": 5310 + }, + { + "epoch": 0.42, + "learning_rate": 4.774062757080738e-05, + "loss": 0.9954, + "step": 5320 + }, + { + "epoch": 0.42, + "learning_rate": 4.772593724291927e-05, + "loss": 0.9361, + "step": 5330 + }, + { + "epoch": 0.42, + "learning_rate": 4.7711246915031144e-05, + "loss": 1.0363, + "step": 5340 + }, + { + "epoch": 0.42, + "learning_rate": 4.7696556587143025e-05, + "loss": 1.033, + "step": 5350 + }, + { + "epoch": 0.43, + "learning_rate": 4.7681866259254907e-05, + "loss": 0.9587, + "step": 5360 + }, + { + "epoch": 0.43, + "learning_rate": 4.7667175931366795e-05, + "loss": 0.9678, + "step": 5370 + }, + { + "epoch": 0.43, + "learning_rate": 4.765248560347867e-05, + "loss": 1.0181, + "step": 5380 + }, + { + "epoch": 0.43, + "learning_rate": 4.763779527559055e-05, + "loss": 1.0325, + "step": 5390 + }, + { + "epoch": 0.43, + "learning_rate": 4.762310494770243e-05, + "loss": 0.9837, + "step": 5400 + }, + { + "epoch": 0.43, + "learning_rate": 4.760841461981432e-05, + "loss": 0.9769, + "step": 5410 + }, + { + "epoch": 0.43, + "learning_rate": 4.75937242919262e-05, + "loss": 1.0457, + "step": 5420 + }, + { + "epoch": 0.43, + "learning_rate": 4.757903396403808e-05, + "loss": 0.9652, + "step": 5430 + }, + { + "epoch": 0.43, + "learning_rate": 4.756434363614996e-05, + "loss": 1.0128, + "step": 5440 + }, + { + "epoch": 0.43, + "learning_rate": 4.754965330826184e-05, + "loss": 0.9725, + "step": 5450 + }, + { + "epoch": 0.43, + "learning_rate": 4.753496298037373e-05, + "loss": 0.9434, + "step": 5460 + }, + { + "epoch": 0.43, + "learning_rate": 4.75202726524856e-05, + "loss": 0.9897, + "step": 5470 + }, + { + "epoch": 0.43, + "learning_rate": 4.7505582324597485e-05, + "loss": 0.9589, + "step": 5480 + }, + { + "epoch": 0.44, + "learning_rate": 4.7490891996709366e-05, + "loss": 0.9509, + "step": 5490 + }, + { + "epoch": 0.44, + "learning_rate": 4.7476201668821254e-05, + "loss": 0.933, + "step": 5500 + }, + { + "epoch": 0.44, + "learning_rate": 4.7461511340933136e-05, + "loss": 0.9842, + "step": 5510 + }, + { + "epoch": 0.44, + "learning_rate": 4.744682101304501e-05, + "loss": 1.0169, + "step": 5520 + }, + { + "epoch": 0.44, + "learning_rate": 4.743213068515689e-05, + "loss": 0.9944, + "step": 5530 + }, + { + "epoch": 0.44, + "learning_rate": 4.741744035726878e-05, + "loss": 0.969, + "step": 5540 + }, + { + "epoch": 0.44, + "learning_rate": 4.740275002938066e-05, + "loss": 0.9813, + "step": 5550 + }, + { + "epoch": 0.44, + "learning_rate": 4.738805970149254e-05, + "loss": 1.0462, + "step": 5560 + }, + { + "epoch": 0.44, + "learning_rate": 4.737336937360442e-05, + "loss": 1.0136, + "step": 5570 + }, + { + "epoch": 0.44, + "learning_rate": 4.7358679045716306e-05, + "loss": 0.8983, + "step": 5580 + }, + { + "epoch": 0.44, + "learning_rate": 4.734398871782819e-05, + "loss": 0.9633, + "step": 5590 + }, + { + "epoch": 0.44, + "learning_rate": 4.732929838994006e-05, + "loss": 0.93, + "step": 5600 + }, + { + "epoch": 0.44, + "learning_rate": 4.7314608062051944e-05, + "loss": 0.9222, + "step": 5610 + }, + { + "epoch": 0.45, + "learning_rate": 4.7299917734163826e-05, + "loss": 0.937, + "step": 5620 + }, + { + "epoch": 0.45, + "learning_rate": 4.7285227406275714e-05, + "loss": 0.9741, + "step": 5630 + }, + { + "epoch": 0.45, + "learning_rate": 4.7270537078387596e-05, + "loss": 0.9735, + "step": 5640 + }, + { + "epoch": 0.45, + "learning_rate": 4.725584675049947e-05, + "loss": 1.0259, + "step": 5650 + }, + { + "epoch": 0.45, + "learning_rate": 4.724115642261135e-05, + "loss": 0.9429, + "step": 5660 + }, + { + "epoch": 0.45, + "learning_rate": 4.722646609472324e-05, + "loss": 1.0342, + "step": 5670 + }, + { + "epoch": 0.45, + "learning_rate": 4.721177576683512e-05, + "loss": 0.9521, + "step": 5680 + }, + { + "epoch": 0.45, + "learning_rate": 4.7197085438946996e-05, + "loss": 0.9738, + "step": 5690 + }, + { + "epoch": 0.45, + "learning_rate": 4.718239511105888e-05, + "loss": 0.9651, + "step": 5700 + }, + { + "epoch": 0.45, + "learning_rate": 4.7167704783170766e-05, + "loss": 0.9507, + "step": 5710 + }, + { + "epoch": 0.45, + "learning_rate": 4.715301445528265e-05, + "loss": 0.9656, + "step": 5720 + }, + { + "epoch": 0.45, + "learning_rate": 4.713832412739452e-05, + "loss": 0.9874, + "step": 5730 + }, + { + "epoch": 0.46, + "learning_rate": 4.7123633799506404e-05, + "loss": 0.9169, + "step": 5740 + }, + { + "epoch": 0.46, + "learning_rate": 4.710894347161829e-05, + "loss": 0.9815, + "step": 5750 + }, + { + "epoch": 0.46, + "learning_rate": 4.7094253143730174e-05, + "loss": 0.9882, + "step": 5760 + }, + { + "epoch": 0.46, + "learning_rate": 4.7079562815842055e-05, + "loss": 0.9512, + "step": 5770 + }, + { + "epoch": 0.46, + "learning_rate": 4.706487248795393e-05, + "loss": 0.9917, + "step": 5780 + }, + { + "epoch": 0.46, + "learning_rate": 4.705018216006581e-05, + "loss": 0.9798, + "step": 5790 + }, + { + "epoch": 0.46, + "learning_rate": 4.70354918321777e-05, + "loss": 0.9033, + "step": 5800 + }, + { + "epoch": 0.46, + "learning_rate": 4.702080150428958e-05, + "loss": 0.9585, + "step": 5810 + }, + { + "epoch": 0.46, + "learning_rate": 4.7006111176401456e-05, + "loss": 0.967, + "step": 5820 + }, + { + "epoch": 0.46, + "learning_rate": 4.699142084851334e-05, + "loss": 0.9508, + "step": 5830 + }, + { + "epoch": 0.46, + "learning_rate": 4.6976730520625226e-05, + "loss": 0.9627, + "step": 5840 + }, + { + "epoch": 0.46, + "learning_rate": 4.696204019273711e-05, + "loss": 0.9609, + "step": 5850 + }, + { + "epoch": 0.46, + "learning_rate": 4.694734986484899e-05, + "loss": 0.9506, + "step": 5860 + }, + { + "epoch": 0.47, + "learning_rate": 4.693265953696086e-05, + "loss": 1.0114, + "step": 5870 + }, + { + "epoch": 0.47, + "learning_rate": 4.691796920907275e-05, + "loss": 0.9508, + "step": 5880 + }, + { + "epoch": 0.47, + "learning_rate": 4.690327888118463e-05, + "loss": 0.9998, + "step": 5890 + }, + { + "epoch": 0.47, + "learning_rate": 4.6888588553296515e-05, + "loss": 1.0045, + "step": 5900 + }, + { + "epoch": 0.47, + "learning_rate": 4.687389822540839e-05, + "loss": 0.9326, + "step": 5910 + }, + { + "epoch": 0.47, + "learning_rate": 4.685920789752027e-05, + "loss": 0.9839, + "step": 5920 + }, + { + "epoch": 0.47, + "learning_rate": 4.684451756963216e-05, + "loss": 0.9873, + "step": 5930 + }, + { + "epoch": 0.47, + "learning_rate": 4.682982724174404e-05, + "loss": 0.929, + "step": 5940 + }, + { + "epoch": 0.47, + "learning_rate": 4.6815136913855915e-05, + "loss": 0.9378, + "step": 5950 + }, + { + "epoch": 0.47, + "learning_rate": 4.68004465859678e-05, + "loss": 1.065, + "step": 5960 + }, + { + "epoch": 0.47, + "learning_rate": 4.6785756258079685e-05, + "loss": 0.9591, + "step": 5970 + }, + { + "epoch": 0.47, + "learning_rate": 4.677106593019157e-05, + "loss": 0.9753, + "step": 5980 + }, + { + "epoch": 0.48, + "learning_rate": 4.675637560230345e-05, + "loss": 0.9507, + "step": 5990 + }, + { + "epoch": 0.48, + "learning_rate": 4.674168527441532e-05, + "loss": 0.9719, + "step": 6000 + }, + { + "epoch": 0.48, + "learning_rate": 4.672699494652721e-05, + "loss": 0.9679, + "step": 6010 + }, + { + "epoch": 0.48, + "learning_rate": 4.671230461863909e-05, + "loss": 0.905, + "step": 6020 + }, + { + "epoch": 0.48, + "learning_rate": 4.6697614290750974e-05, + "loss": 0.9225, + "step": 6030 + }, + { + "epoch": 0.48, + "learning_rate": 4.668292396286285e-05, + "loss": 0.9592, + "step": 6040 + }, + { + "epoch": 0.48, + "learning_rate": 4.666823363497474e-05, + "loss": 0.9796, + "step": 6050 + }, + { + "epoch": 0.48, + "learning_rate": 4.665354330708662e-05, + "loss": 0.9152, + "step": 6060 + }, + { + "epoch": 0.48, + "learning_rate": 4.66388529791985e-05, + "loss": 0.9971, + "step": 6070 + }, + { + "epoch": 0.48, + "learning_rate": 4.6624162651310375e-05, + "loss": 0.9679, + "step": 6080 + }, + { + "epoch": 0.48, + "learning_rate": 4.6609472323422256e-05, + "loss": 0.949, + "step": 6090 + }, + { + "epoch": 0.48, + "learning_rate": 4.6594781995534145e-05, + "loss": 0.9938, + "step": 6100 + }, + { + "epoch": 0.48, + "learning_rate": 4.6580091667646026e-05, + "loss": 0.9326, + "step": 6110 + }, + { + "epoch": 0.49, + "learning_rate": 4.656540133975791e-05, + "loss": 0.9419, + "step": 6120 + }, + { + "epoch": 0.49, + "learning_rate": 4.655071101186978e-05, + "loss": 0.9924, + "step": 6130 + }, + { + "epoch": 0.49, + "learning_rate": 4.653602068398167e-05, + "loss": 0.9591, + "step": 6140 + }, + { + "epoch": 0.49, + "learning_rate": 4.652133035609355e-05, + "loss": 0.9745, + "step": 6150 + }, + { + "epoch": 0.49, + "learning_rate": 4.6506640028205434e-05, + "loss": 0.9435, + "step": 6160 + }, + { + "epoch": 0.49, + "learning_rate": 4.649194970031731e-05, + "loss": 0.9713, + "step": 6170 + }, + { + "epoch": 0.49, + "learning_rate": 4.64772593724292e-05, + "loss": 0.9649, + "step": 6180 + }, + { + "epoch": 0.49, + "learning_rate": 4.646256904454108e-05, + "loss": 0.9409, + "step": 6190 + }, + { + "epoch": 0.49, + "learning_rate": 4.644787871665296e-05, + "loss": 0.9773, + "step": 6200 + }, + { + "epoch": 0.49, + "learning_rate": 4.643318838876484e-05, + "loss": 0.9754, + "step": 6210 + }, + { + "epoch": 0.49, + "learning_rate": 4.641849806087672e-05, + "loss": 0.9371, + "step": 6220 + }, + { + "epoch": 0.49, + "learning_rate": 4.6403807732988604e-05, + "loss": 0.9408, + "step": 6230 + }, + { + "epoch": 0.49, + "learning_rate": 4.6389117405100486e-05, + "loss": 0.9785, + "step": 6240 + }, + { + "epoch": 0.5, + "learning_rate": 4.637442707721237e-05, + "loss": 0.9332, + "step": 6250 + }, + { + "epoch": 0.5, + "learning_rate": 4.635973674932424e-05, + "loss": 0.9876, + "step": 6260 + }, + { + "epoch": 0.5, + "learning_rate": 4.634504642143613e-05, + "loss": 0.8978, + "step": 6270 + }, + { + "epoch": 0.5, + "learning_rate": 4.633035609354801e-05, + "loss": 0.9341, + "step": 6280 + }, + { + "epoch": 0.5, + "learning_rate": 4.631566576565989e-05, + "loss": 0.9424, + "step": 6290 + }, + { + "epoch": 0.5, + "learning_rate": 4.630097543777177e-05, + "loss": 0.9913, + "step": 6300 + }, + { + "epoch": 0.5, + "learning_rate": 4.6286285109883656e-05, + "loss": 0.9746, + "step": 6310 + }, + { + "epoch": 0.5, + "learning_rate": 4.627159478199554e-05, + "loss": 0.9322, + "step": 6320 + }, + { + "epoch": 0.5, + "learning_rate": 4.625690445410742e-05, + "loss": 0.9803, + "step": 6330 + }, + { + "epoch": 0.5, + "learning_rate": 4.62422141262193e-05, + "loss": 0.9984, + "step": 6340 + }, + { + "epoch": 0.5, + "learning_rate": 4.622752379833118e-05, + "loss": 0.9598, + "step": 6350 + }, + { + "epoch": 0.5, + "learning_rate": 4.6212833470443064e-05, + "loss": 0.8992, + "step": 6360 + }, + { + "epoch": 0.51, + "learning_rate": 4.6198143142554945e-05, + "loss": 1.0201, + "step": 6370 + }, + { + "epoch": 0.51, + "learning_rate": 4.618345281466683e-05, + "loss": 0.9779, + "step": 6380 + }, + { + "epoch": 0.51, + "learning_rate": 4.61687624867787e-05, + "loss": 0.8707, + "step": 6390 + }, + { + "epoch": 0.51, + "learning_rate": 4.615407215889059e-05, + "loss": 1.0432, + "step": 6400 + }, + { + "epoch": 0.51, + "learning_rate": 4.613938183100247e-05, + "loss": 0.9638, + "step": 6410 + }, + { + "epoch": 0.51, + "learning_rate": 4.612469150311435e-05, + "loss": 0.9591, + "step": 6420 + }, + { + "epoch": 0.51, + "learning_rate": 4.611000117522623e-05, + "loss": 0.9387, + "step": 6430 + }, + { + "epoch": 0.51, + "learning_rate": 4.6095310847338116e-05, + "loss": 0.9881, + "step": 6440 + }, + { + "epoch": 0.51, + "learning_rate": 4.608062051945e-05, + "loss": 0.9809, + "step": 6450 + }, + { + "epoch": 0.51, + "learning_rate": 4.606593019156188e-05, + "loss": 0.9667, + "step": 6460 + }, + { + "epoch": 0.51, + "learning_rate": 4.605123986367376e-05, + "loss": 0.9324, + "step": 6470 + }, + { + "epoch": 0.51, + "learning_rate": 4.603654953578564e-05, + "loss": 0.9186, + "step": 6480 + }, + { + "epoch": 0.51, + "learning_rate": 4.6021859207897523e-05, + "loss": 0.9335, + "step": 6490 + }, + { + "epoch": 0.52, + "learning_rate": 4.6007168880009405e-05, + "loss": 0.971, + "step": 6500 + }, + { + "epoch": 0.52, + "learning_rate": 4.5992478552121286e-05, + "loss": 0.9463, + "step": 6510 + }, + { + "epoch": 0.52, + "learning_rate": 4.597778822423317e-05, + "loss": 0.9284, + "step": 6520 + }, + { + "epoch": 0.52, + "learning_rate": 4.596309789634505e-05, + "loss": 0.9396, + "step": 6530 + }, + { + "epoch": 0.52, + "learning_rate": 4.594840756845693e-05, + "loss": 0.997, + "step": 6540 + }, + { + "epoch": 0.52, + "learning_rate": 4.593371724056881e-05, + "loss": 0.9607, + "step": 6550 + }, + { + "epoch": 0.52, + "learning_rate": 4.5919026912680694e-05, + "loss": 0.9635, + "step": 6560 + }, + { + "epoch": 0.52, + "learning_rate": 4.5904336584792575e-05, + "loss": 0.95, + "step": 6570 + }, + { + "epoch": 0.52, + "learning_rate": 4.588964625690446e-05, + "loss": 0.9612, + "step": 6580 + }, + { + "epoch": 0.52, + "learning_rate": 4.587495592901634e-05, + "loss": 0.8854, + "step": 6590 + }, + { + "epoch": 0.52, + "learning_rate": 4.586026560112822e-05, + "loss": 0.9338, + "step": 6600 + }, + { + "epoch": 0.52, + "learning_rate": 4.58455752732401e-05, + "loss": 0.9546, + "step": 6610 + }, + { + "epoch": 0.53, + "learning_rate": 4.583088494535198e-05, + "loss": 1.0048, + "step": 6620 + }, + { + "epoch": 0.53, + "learning_rate": 4.5816194617463865e-05, + "loss": 0.9257, + "step": 6630 + }, + { + "epoch": 0.53, + "learning_rate": 4.5801504289575746e-05, + "loss": 0.9288, + "step": 6640 + }, + { + "epoch": 0.53, + "learning_rate": 4.578681396168763e-05, + "loss": 0.9091, + "step": 6650 + }, + { + "epoch": 0.53, + "learning_rate": 4.577212363379951e-05, + "loss": 0.9783, + "step": 6660 + }, + { + "epoch": 0.53, + "learning_rate": 4.575743330591139e-05, + "loss": 0.9806, + "step": 6670 + }, + { + "epoch": 0.53, + "learning_rate": 4.574274297802327e-05, + "loss": 1.0132, + "step": 6680 + }, + { + "epoch": 0.53, + "learning_rate": 4.5728052650135154e-05, + "loss": 0.896, + "step": 6690 + }, + { + "epoch": 0.53, + "learning_rate": 4.5713362322247035e-05, + "loss": 0.8943, + "step": 6700 + }, + { + "epoch": 0.53, + "learning_rate": 4.5698671994358917e-05, + "loss": 0.9175, + "step": 6710 + }, + { + "epoch": 0.53, + "learning_rate": 4.56839816664708e-05, + "loss": 0.961, + "step": 6720 + }, + { + "epoch": 0.53, + "learning_rate": 4.566929133858268e-05, + "loss": 1.0114, + "step": 6730 + }, + { + "epoch": 0.53, + "learning_rate": 4.565460101069456e-05, + "loss": 0.9752, + "step": 6740 + }, + { + "epoch": 0.54, + "learning_rate": 4.563991068280644e-05, + "loss": 1.006, + "step": 6750 + }, + { + "epoch": 0.54, + "learning_rate": 4.5625220354918324e-05, + "loss": 0.9812, + "step": 6760 + }, + { + "epoch": 0.54, + "learning_rate": 4.5610530027030206e-05, + "loss": 0.9565, + "step": 6770 + }, + { + "epoch": 0.54, + "learning_rate": 4.559583969914209e-05, + "loss": 0.9558, + "step": 6780 + }, + { + "epoch": 0.54, + "learning_rate": 4.558114937125397e-05, + "loss": 0.9055, + "step": 6790 + }, + { + "epoch": 0.54, + "learning_rate": 4.556645904336585e-05, + "loss": 0.9499, + "step": 6800 + }, + { + "epoch": 0.54, + "learning_rate": 4.555176871547773e-05, + "loss": 0.9898, + "step": 6810 + }, + { + "epoch": 0.54, + "learning_rate": 4.553707838758961e-05, + "loss": 0.9157, + "step": 6820 + }, + { + "epoch": 0.54, + "learning_rate": 4.5522388059701495e-05, + "loss": 0.9098, + "step": 6830 + }, + { + "epoch": 0.54, + "learning_rate": 4.5507697731813376e-05, + "loss": 0.8776, + "step": 6840 + }, + { + "epoch": 0.54, + "learning_rate": 4.549300740392526e-05, + "loss": 0.9748, + "step": 6850 + }, + { + "epoch": 0.54, + "learning_rate": 4.547831707603714e-05, + "loss": 0.9337, + "step": 6860 + }, + { + "epoch": 0.54, + "learning_rate": 4.546362674814902e-05, + "loss": 0.9267, + "step": 6870 + }, + { + "epoch": 0.55, + "learning_rate": 4.54489364202609e-05, + "loss": 0.9574, + "step": 6880 + }, + { + "epoch": 0.55, + "learning_rate": 4.5434246092372784e-05, + "loss": 0.8962, + "step": 6890 + }, + { + "epoch": 0.55, + "learning_rate": 4.5419555764484665e-05, + "loss": 0.9278, + "step": 6900 + }, + { + "epoch": 0.55, + "learning_rate": 4.540486543659655e-05, + "loss": 0.9702, + "step": 6910 + }, + { + "epoch": 0.55, + "learning_rate": 4.539017510870843e-05, + "loss": 0.9738, + "step": 6920 + }, + { + "epoch": 0.55, + "learning_rate": 4.537548478082031e-05, + "loss": 0.911, + "step": 6930 + }, + { + "epoch": 0.55, + "learning_rate": 4.536079445293219e-05, + "loss": 0.9238, + "step": 6940 + }, + { + "epoch": 0.55, + "learning_rate": 4.534610412504407e-05, + "loss": 0.96, + "step": 6950 + }, + { + "epoch": 0.55, + "learning_rate": 4.5331413797155954e-05, + "loss": 1.0077, + "step": 6960 + }, + { + "epoch": 0.55, + "learning_rate": 4.5316723469267836e-05, + "loss": 0.9736, + "step": 6970 + }, + { + "epoch": 0.55, + "learning_rate": 4.530203314137972e-05, + "loss": 0.9449, + "step": 6980 + }, + { + "epoch": 0.55, + "learning_rate": 4.52873428134916e-05, + "loss": 0.902, + "step": 6990 + }, + { + "epoch": 0.56, + "learning_rate": 4.527265248560348e-05, + "loss": 0.9773, + "step": 7000 + }, + { + "epoch": 0.56, + "learning_rate": 4.525796215771536e-05, + "loss": 0.9306, + "step": 7010 + }, + { + "epoch": 0.56, + "learning_rate": 4.524327182982724e-05, + "loss": 0.9666, + "step": 7020 + }, + { + "epoch": 0.56, + "learning_rate": 4.5228581501939125e-05, + "loss": 0.8784, + "step": 7030 + }, + { + "epoch": 0.56, + "learning_rate": 4.5213891174051006e-05, + "loss": 0.9508, + "step": 7040 + }, + { + "epoch": 0.56, + "learning_rate": 4.519920084616289e-05, + "loss": 0.888, + "step": 7050 + }, + { + "epoch": 0.56, + "learning_rate": 4.518451051827477e-05, + "loss": 0.9673, + "step": 7060 + }, + { + "epoch": 0.56, + "learning_rate": 4.516982019038665e-05, + "loss": 0.9693, + "step": 7070 + }, + { + "epoch": 0.56, + "learning_rate": 4.515512986249853e-05, + "loss": 0.8666, + "step": 7080 + }, + { + "epoch": 0.56, + "learning_rate": 4.5140439534610414e-05, + "loss": 0.9438, + "step": 7090 + }, + { + "epoch": 0.56, + "learning_rate": 4.5125749206722295e-05, + "loss": 0.9002, + "step": 7100 + }, + { + "epoch": 0.56, + "learning_rate": 4.511105887883418e-05, + "loss": 0.9949, + "step": 7110 + }, + { + "epoch": 0.56, + "learning_rate": 4.509636855094606e-05, + "loss": 0.908, + "step": 7120 + }, + { + "epoch": 0.57, + "learning_rate": 4.508167822305794e-05, + "loss": 0.9315, + "step": 7130 + }, + { + "epoch": 0.57, + "learning_rate": 4.506698789516982e-05, + "loss": 0.9248, + "step": 7140 + }, + { + "epoch": 0.57, + "learning_rate": 4.50522975672817e-05, + "loss": 0.901, + "step": 7150 + }, + { + "epoch": 0.57, + "learning_rate": 4.5037607239393584e-05, + "loss": 0.9349, + "step": 7160 + }, + { + "epoch": 0.57, + "learning_rate": 4.502291691150547e-05, + "loss": 0.8925, + "step": 7170 + }, + { + "epoch": 0.57, + "learning_rate": 4.500822658361735e-05, + "loss": 0.9785, + "step": 7180 + }, + { + "epoch": 0.57, + "learning_rate": 4.499353625572923e-05, + "loss": 0.9175, + "step": 7190 + }, + { + "epoch": 0.57, + "learning_rate": 4.497884592784111e-05, + "loss": 0.9563, + "step": 7200 + }, + { + "epoch": 0.57, + "learning_rate": 4.496415559995299e-05, + "loss": 0.9657, + "step": 7210 + }, + { + "epoch": 0.57, + "learning_rate": 4.494946527206487e-05, + "loss": 0.9751, + "step": 7220 + }, + { + "epoch": 0.57, + "learning_rate": 4.4934774944176755e-05, + "loss": 0.9606, + "step": 7230 + }, + { + "epoch": 0.57, + "learning_rate": 4.4920084616288636e-05, + "loss": 1.0009, + "step": 7240 + }, + { + "epoch": 0.58, + "learning_rate": 4.490539428840052e-05, + "loss": 0.919, + "step": 7250 + }, + { + "epoch": 0.58, + "learning_rate": 4.48907039605124e-05, + "loss": 0.9898, + "step": 7260 + }, + { + "epoch": 0.58, + "learning_rate": 4.487601363262428e-05, + "loss": 0.9732, + "step": 7270 + }, + { + "epoch": 0.58, + "learning_rate": 4.486132330473616e-05, + "loss": 0.9212, + "step": 7280 + }, + { + "epoch": 0.58, + "learning_rate": 4.4846632976848044e-05, + "loss": 0.9719, + "step": 7290 + }, + { + "epoch": 0.58, + "learning_rate": 4.483194264895993e-05, + "loss": 0.9377, + "step": 7300 + }, + { + "epoch": 0.58, + "learning_rate": 4.481725232107181e-05, + "loss": 0.9362, + "step": 7310 + }, + { + "epoch": 0.58, + "learning_rate": 4.480256199318369e-05, + "loss": 0.9134, + "step": 7320 + }, + { + "epoch": 0.58, + "learning_rate": 4.478787166529557e-05, + "loss": 0.9442, + "step": 7330 + }, + { + "epoch": 0.58, + "learning_rate": 4.477318133740746e-05, + "loss": 0.9223, + "step": 7340 + }, + { + "epoch": 0.58, + "learning_rate": 4.475849100951933e-05, + "loss": 0.951, + "step": 7350 + }, + { + "epoch": 0.58, + "learning_rate": 4.4743800681631214e-05, + "loss": 0.9853, + "step": 7360 + }, + { + "epoch": 0.58, + "learning_rate": 4.4729110353743096e-05, + "loss": 0.8699, + "step": 7370 + }, + { + "epoch": 0.59, + "learning_rate": 4.471442002585498e-05, + "loss": 0.8852, + "step": 7380 + }, + { + "epoch": 0.59, + "learning_rate": 4.4699729697966866e-05, + "loss": 0.9211, + "step": 7390 + }, + { + "epoch": 0.59, + "learning_rate": 4.468503937007874e-05, + "loss": 0.9008, + "step": 7400 + }, + { + "epoch": 0.59, + "learning_rate": 4.467034904219062e-05, + "loss": 0.9233, + "step": 7410 + }, + { + "epoch": 0.59, + "learning_rate": 4.4655658714302503e-05, + "loss": 0.9673, + "step": 7420 + }, + { + "epoch": 0.59, + "learning_rate": 4.464096838641439e-05, + "loss": 0.8565, + "step": 7430 + }, + { + "epoch": 0.59, + "learning_rate": 4.4626278058526266e-05, + "loss": 0.9539, + "step": 7440 + }, + { + "epoch": 0.59, + "learning_rate": 4.461158773063815e-05, + "loss": 0.8765, + "step": 7450 + }, + { + "epoch": 0.59, + "learning_rate": 4.459689740275003e-05, + "loss": 0.9546, + "step": 7460 + }, + { + "epoch": 0.59, + "learning_rate": 4.458220707486192e-05, + "loss": 0.9401, + "step": 7470 + }, + { + "epoch": 0.59, + "learning_rate": 4.456751674697379e-05, + "loss": 0.8975, + "step": 7480 + }, + { + "epoch": 0.59, + "learning_rate": 4.4552826419085674e-05, + "loss": 0.9258, + "step": 7490 + }, + { + "epoch": 0.59, + "learning_rate": 4.4538136091197555e-05, + "loss": 0.8865, + "step": 7500 + }, + { + "epoch": 0.6, + "learning_rate": 4.4523445763309444e-05, + "loss": 0.989, + "step": 7510 + }, + { + "epoch": 0.6, + "learning_rate": 4.4508755435421325e-05, + "loss": 0.8648, + "step": 7520 + }, + { + "epoch": 0.6, + "learning_rate": 4.44940651075332e-05, + "loss": 0.9117, + "step": 7530 + }, + { + "epoch": 0.6, + "learning_rate": 4.447937477964508e-05, + "loss": 0.9948, + "step": 7540 + }, + { + "epoch": 0.6, + "learning_rate": 4.446468445175696e-05, + "loss": 0.8837, + "step": 7550 + }, + { + "epoch": 0.6, + "learning_rate": 4.444999412386885e-05, + "loss": 0.8882, + "step": 7560 + }, + { + "epoch": 0.6, + "learning_rate": 4.4435303795980726e-05, + "loss": 0.904, + "step": 7570 + }, + { + "epoch": 0.6, + "learning_rate": 4.442061346809261e-05, + "loss": 0.9619, + "step": 7580 + }, + { + "epoch": 0.6, + "learning_rate": 4.440592314020449e-05, + "loss": 0.9428, + "step": 7590 + }, + { + "epoch": 0.6, + "learning_rate": 4.439123281231638e-05, + "loss": 0.91, + "step": 7600 + }, + { + "epoch": 0.6, + "learning_rate": 4.437654248442825e-05, + "loss": 0.837, + "step": 7610 + }, + { + "epoch": 0.6, + "learning_rate": 4.4361852156540134e-05, + "loss": 0.8955, + "step": 7620 + }, + { + "epoch": 0.61, + "learning_rate": 4.4347161828652015e-05, + "loss": 0.9065, + "step": 7630 + }, + { + "epoch": 0.61, + "learning_rate": 4.43324715007639e-05, + "loss": 0.9223, + "step": 7640 + }, + { + "epoch": 0.61, + "learning_rate": 4.4317781172875785e-05, + "loss": 0.9051, + "step": 7650 + }, + { + "epoch": 0.61, + "learning_rate": 4.430309084498766e-05, + "loss": 0.9357, + "step": 7660 + }, + { + "epoch": 0.61, + "learning_rate": 4.428840051709954e-05, + "loss": 0.9014, + "step": 7670 + }, + { + "epoch": 0.61, + "learning_rate": 4.427371018921142e-05, + "loss": 0.9404, + "step": 7680 + }, + { + "epoch": 0.61, + "learning_rate": 4.425901986132331e-05, + "loss": 0.8784, + "step": 7690 + }, + { + "epoch": 0.61, + "learning_rate": 4.4244329533435186e-05, + "loss": 0.9412, + "step": 7700 + }, + { + "epoch": 0.61, + "learning_rate": 4.422963920554707e-05, + "loss": 0.9382, + "step": 7710 + }, + { + "epoch": 0.61, + "learning_rate": 4.421494887765895e-05, + "loss": 0.8882, + "step": 7720 + }, + { + "epoch": 0.61, + "learning_rate": 4.420025854977084e-05, + "loss": 0.9344, + "step": 7730 + }, + { + "epoch": 0.61, + "learning_rate": 4.418556822188272e-05, + "loss": 0.9074, + "step": 7740 + }, + { + "epoch": 0.61, + "learning_rate": 4.417087789399459e-05, + "loss": 0.9801, + "step": 7750 + }, + { + "epoch": 0.62, + "learning_rate": 4.4156187566106475e-05, + "loss": 0.891, + "step": 7760 + }, + { + "epoch": 0.62, + "learning_rate": 4.414149723821836e-05, + "loss": 0.9394, + "step": 7770 + }, + { + "epoch": 0.62, + "learning_rate": 4.4126806910330244e-05, + "loss": 0.8982, + "step": 7780 + }, + { + "epoch": 0.62, + "learning_rate": 4.411211658244212e-05, + "loss": 0.9174, + "step": 7790 + }, + { + "epoch": 0.62, + "learning_rate": 4.4097426254554e-05, + "loss": 0.9312, + "step": 7800 + }, + { + "epoch": 0.62, + "learning_rate": 4.408273592666589e-05, + "loss": 0.9271, + "step": 7810 + }, + { + "epoch": 0.62, + "learning_rate": 4.406804559877777e-05, + "loss": 0.9608, + "step": 7820 + }, + { + "epoch": 0.62, + "learning_rate": 4.4053355270889645e-05, + "loss": 0.8835, + "step": 7830 + }, + { + "epoch": 0.62, + "learning_rate": 4.403866494300153e-05, + "loss": 0.8768, + "step": 7840 + }, + { + "epoch": 0.62, + "learning_rate": 4.402397461511341e-05, + "loss": 0.8487, + "step": 7850 + }, + { + "epoch": 0.62, + "learning_rate": 4.4009284287225296e-05, + "loss": 0.8823, + "step": 7860 + }, + { + "epoch": 0.62, + "learning_rate": 4.399459395933718e-05, + "loss": 0.9122, + "step": 7870 + }, + { + "epoch": 0.63, + "learning_rate": 4.397990363144905e-05, + "loss": 0.923, + "step": 7880 + }, + { + "epoch": 0.63, + "learning_rate": 4.3965213303560934e-05, + "loss": 0.9462, + "step": 7890 + }, + { + "epoch": 0.63, + "learning_rate": 4.395052297567282e-05, + "loss": 0.8908, + "step": 7900 + }, + { + "epoch": 0.63, + "learning_rate": 4.3935832647784704e-05, + "loss": 0.8534, + "step": 7910 + }, + { + "epoch": 0.63, + "learning_rate": 4.392114231989658e-05, + "loss": 0.9281, + "step": 7920 + }, + { + "epoch": 0.63, + "learning_rate": 4.390645199200846e-05, + "loss": 0.9104, + "step": 7930 + }, + { + "epoch": 0.63, + "learning_rate": 4.389176166412035e-05, + "loss": 0.9435, + "step": 7940 + }, + { + "epoch": 0.63, + "learning_rate": 4.387707133623223e-05, + "loss": 0.8823, + "step": 7950 + }, + { + "epoch": 0.63, + "learning_rate": 4.3862381008344105e-05, + "loss": 0.9242, + "step": 7960 + }, + { + "epoch": 0.63, + "learning_rate": 4.3847690680455986e-05, + "loss": 1.0079, + "step": 7970 + }, + { + "epoch": 0.63, + "learning_rate": 4.3833000352567874e-05, + "loss": 0.9576, + "step": 7980 + }, + { + "epoch": 0.63, + "learning_rate": 4.3818310024679756e-05, + "loss": 0.8616, + "step": 7990 + }, + { + "epoch": 0.63, + "learning_rate": 4.380361969679164e-05, + "loss": 0.9636, + "step": 8000 + }, + { + "epoch": 0.64, + "learning_rate": 4.378892936890351e-05, + "loss": 0.9245, + "step": 8010 + }, + { + "epoch": 0.64, + "learning_rate": 4.3774239041015394e-05, + "loss": 0.8764, + "step": 8020 + }, + { + "epoch": 0.64, + "learning_rate": 4.375954871312728e-05, + "loss": 0.948, + "step": 8030 + }, + { + "epoch": 0.64, + "learning_rate": 4.3744858385239164e-05, + "loss": 0.9433, + "step": 8040 + }, + { + "epoch": 0.64, + "learning_rate": 4.373016805735104e-05, + "loss": 0.9305, + "step": 8050 + }, + { + "epoch": 0.64, + "learning_rate": 4.371547772946292e-05, + "loss": 0.9117, + "step": 8060 + }, + { + "epoch": 0.64, + "learning_rate": 4.370078740157481e-05, + "loss": 0.9201, + "step": 8070 + }, + { + "epoch": 0.64, + "learning_rate": 4.368609707368669e-05, + "loss": 0.9129, + "step": 8080 + }, + { + "epoch": 0.64, + "learning_rate": 4.367140674579857e-05, + "loss": 0.9512, + "step": 8090 + }, + { + "epoch": 0.64, + "learning_rate": 4.3656716417910446e-05, + "loss": 0.9316, + "step": 8100 + }, + { + "epoch": 0.64, + "learning_rate": 4.3642026090022334e-05, + "loss": 0.9255, + "step": 8110 + }, + { + "epoch": 0.64, + "learning_rate": 4.3627335762134216e-05, + "loss": 0.9549, + "step": 8120 + }, + { + "epoch": 0.64, + "learning_rate": 4.36126454342461e-05, + "loss": 0.8743, + "step": 8130 + }, + { + "epoch": 0.65, + "learning_rate": 4.359795510635797e-05, + "loss": 0.9069, + "step": 8140 + }, + { + "epoch": 0.65, + "learning_rate": 4.358326477846986e-05, + "loss": 0.9476, + "step": 8150 + }, + { + "epoch": 0.65, + "learning_rate": 4.356857445058174e-05, + "loss": 0.9085, + "step": 8160 + }, + { + "epoch": 0.65, + "learning_rate": 4.355388412269362e-05, + "loss": 0.913, + "step": 8170 + }, + { + "epoch": 0.65, + "learning_rate": 4.35391937948055e-05, + "loss": 0.9574, + "step": 8180 + }, + { + "epoch": 0.65, + "learning_rate": 4.352450346691738e-05, + "loss": 0.8911, + "step": 8190 + }, + { + "epoch": 0.65, + "learning_rate": 4.350981313902927e-05, + "loss": 0.9691, + "step": 8200 + }, + { + "epoch": 0.65, + "learning_rate": 4.349512281114115e-05, + "loss": 0.9385, + "step": 8210 + }, + { + "epoch": 0.65, + "learning_rate": 4.348043248325303e-05, + "loss": 0.9483, + "step": 8220 + }, + { + "epoch": 0.65, + "learning_rate": 4.3465742155364905e-05, + "loss": 0.9085, + "step": 8230 + }, + { + "epoch": 0.65, + "learning_rate": 4.3451051827476794e-05, + "loss": 0.8958, + "step": 8240 + }, + { + "epoch": 0.65, + "learning_rate": 4.3436361499588675e-05, + "loss": 0.8855, + "step": 8250 + }, + { + "epoch": 0.66, + "learning_rate": 4.342167117170056e-05, + "loss": 0.8826, + "step": 8260 + }, + { + "epoch": 0.66, + "learning_rate": 4.340698084381243e-05, + "loss": 0.8989, + "step": 8270 + }, + { + "epoch": 0.66, + "learning_rate": 4.339229051592432e-05, + "loss": 0.8891, + "step": 8280 + }, + { + "epoch": 0.66, + "learning_rate": 4.33776001880362e-05, + "loss": 0.8953, + "step": 8290 + }, + { + "epoch": 0.66, + "learning_rate": 4.336290986014808e-05, + "loss": 0.8844, + "step": 8300 + }, + { + "epoch": 0.66, + "learning_rate": 4.334821953225996e-05, + "loss": 0.9399, + "step": 8310 + }, + { + "epoch": 0.66, + "learning_rate": 4.333352920437184e-05, + "loss": 0.8995, + "step": 8320 + }, + { + "epoch": 0.66, + "learning_rate": 4.331883887648373e-05, + "loss": 0.876, + "step": 8330 + }, + { + "epoch": 0.66, + "learning_rate": 4.330414854859561e-05, + "loss": 0.8953, + "step": 8340 + }, + { + "epoch": 0.66, + "learning_rate": 4.328945822070749e-05, + "loss": 0.9, + "step": 8350 + }, + { + "epoch": 0.66, + "learning_rate": 4.3274767892819365e-05, + "loss": 0.891, + "step": 8360 + }, + { + "epoch": 0.66, + "learning_rate": 4.326007756493125e-05, + "loss": 0.9293, + "step": 8370 + }, + { + "epoch": 0.66, + "learning_rate": 4.3245387237043135e-05, + "loss": 0.919, + "step": 8380 + }, + { + "epoch": 0.67, + "learning_rate": 4.3230696909155016e-05, + "loss": 0.9141, + "step": 8390 + }, + { + "epoch": 0.67, + "learning_rate": 4.321600658126689e-05, + "loss": 0.8765, + "step": 8400 + }, + { + "epoch": 0.67, + "learning_rate": 4.320131625337878e-05, + "loss": 0.9044, + "step": 8410 + }, + { + "epoch": 0.67, + "learning_rate": 4.318662592549066e-05, + "loss": 0.9394, + "step": 8420 + }, + { + "epoch": 0.67, + "learning_rate": 4.317193559760254e-05, + "loss": 0.8588, + "step": 8430 + }, + { + "epoch": 0.67, + "learning_rate": 4.3157245269714424e-05, + "loss": 0.8955, + "step": 8440 + }, + { + "epoch": 0.67, + "learning_rate": 4.3142554941826305e-05, + "loss": 0.9535, + "step": 8450 + }, + { + "epoch": 0.67, + "learning_rate": 4.312786461393819e-05, + "loss": 0.9185, + "step": 8460 + }, + { + "epoch": 0.67, + "learning_rate": 4.311317428605007e-05, + "loss": 0.9551, + "step": 8470 + }, + { + "epoch": 0.67, + "learning_rate": 4.309848395816195e-05, + "loss": 0.8874, + "step": 8480 + }, + { + "epoch": 0.67, + "learning_rate": 4.3083793630273824e-05, + "loss": 0.9225, + "step": 8490 + }, + { + "epoch": 0.67, + "learning_rate": 4.306910330238571e-05, + "loss": 0.9049, + "step": 8500 + }, + { + "epoch": 0.68, + "learning_rate": 4.3054412974497594e-05, + "loss": 0.8725, + "step": 8510 + }, + { + "epoch": 0.68, + "learning_rate": 4.3039722646609476e-05, + "loss": 0.9361, + "step": 8520 + }, + { + "epoch": 0.68, + "learning_rate": 4.302503231872135e-05, + "loss": 0.9158, + "step": 8530 + }, + { + "epoch": 0.68, + "learning_rate": 4.301034199083324e-05, + "loss": 0.8716, + "step": 8540 + }, + { + "epoch": 0.68, + "learning_rate": 4.299565166294512e-05, + "loss": 0.9241, + "step": 8550 + }, + { + "epoch": 0.68, + "learning_rate": 4.2980961335057e-05, + "loss": 0.8968, + "step": 8560 + }, + { + "epoch": 0.68, + "learning_rate": 4.296627100716888e-05, + "loss": 0.917, + "step": 8570 + }, + { + "epoch": 0.68, + "learning_rate": 4.2951580679280765e-05, + "loss": 0.9089, + "step": 8580 + }, + { + "epoch": 0.68, + "learning_rate": 4.2936890351392646e-05, + "loss": 0.9441, + "step": 8590 + }, + { + "epoch": 0.68, + "learning_rate": 4.292220002350453e-05, + "loss": 0.9028, + "step": 8600 + }, + { + "epoch": 0.68, + "learning_rate": 4.290750969561641e-05, + "loss": 0.9063, + "step": 8610 + }, + { + "epoch": 0.68, + "learning_rate": 4.289281936772829e-05, + "loss": 0.8952, + "step": 8620 + }, + { + "epoch": 0.68, + "learning_rate": 4.287812903984017e-05, + "loss": 0.8352, + "step": 8630 + }, + { + "epoch": 0.69, + "learning_rate": 4.2863438711952054e-05, + "loss": 0.9463, + "step": 8640 + }, + { + "epoch": 0.69, + "learning_rate": 4.2848748384063935e-05, + "loss": 0.9372, + "step": 8650 + }, + { + "epoch": 0.69, + "learning_rate": 4.283405805617581e-05, + "loss": 0.8842, + "step": 8660 + }, + { + "epoch": 0.69, + "learning_rate": 4.28193677282877e-05, + "loss": 0.9348, + "step": 8670 + }, + { + "epoch": 0.69, + "learning_rate": 4.280467740039958e-05, + "loss": 0.8542, + "step": 8680 + }, + { + "epoch": 0.69, + "learning_rate": 4.278998707251146e-05, + "loss": 0.8942, + "step": 8690 + }, + { + "epoch": 0.69, + "learning_rate": 4.277529674462334e-05, + "loss": 0.8821, + "step": 8700 + }, + { + "epoch": 0.69, + "learning_rate": 4.2760606416735224e-05, + "loss": 0.936, + "step": 8710 + }, + { + "epoch": 0.69, + "learning_rate": 4.2745916088847106e-05, + "loss": 0.9103, + "step": 8720 + }, + { + "epoch": 0.69, + "learning_rate": 4.273122576095899e-05, + "loss": 0.9163, + "step": 8730 + }, + { + "epoch": 0.69, + "learning_rate": 4.271653543307087e-05, + "loss": 0.8792, + "step": 8740 + }, + { + "epoch": 0.69, + "learning_rate": 4.270184510518275e-05, + "loss": 0.8487, + "step": 8750 + }, + { + "epoch": 0.69, + "learning_rate": 4.268715477729463e-05, + "loss": 0.9287, + "step": 8760 + }, + { + "epoch": 0.7, + "learning_rate": 4.267246444940651e-05, + "loss": 0.9108, + "step": 8770 + }, + { + "epoch": 0.7, + "learning_rate": 4.2657774121518395e-05, + "loss": 0.8662, + "step": 8780 + }, + { + "epoch": 0.7, + "learning_rate": 4.2643083793630276e-05, + "loss": 0.8881, + "step": 8790 + }, + { + "epoch": 0.7, + "learning_rate": 4.262839346574216e-05, + "loss": 0.9276, + "step": 8800 + }, + { + "epoch": 0.7, + "learning_rate": 4.261370313785404e-05, + "loss": 0.9358, + "step": 8810 + }, + { + "epoch": 0.7, + "learning_rate": 4.259901280996592e-05, + "loss": 0.9402, + "step": 8820 + }, + { + "epoch": 0.7, + "learning_rate": 4.25843224820778e-05, + "loss": 0.8906, + "step": 8830 + }, + { + "epoch": 0.7, + "learning_rate": 4.2569632154189684e-05, + "loss": 0.8678, + "step": 8840 + }, + { + "epoch": 0.7, + "learning_rate": 4.2554941826301565e-05, + "loss": 0.853, + "step": 8850 + }, + { + "epoch": 0.7, + "learning_rate": 4.254025149841345e-05, + "loss": 0.8783, + "step": 8860 + }, + { + "epoch": 0.7, + "learning_rate": 4.252556117052533e-05, + "loss": 0.8481, + "step": 8870 + }, + { + "epoch": 0.7, + "learning_rate": 4.251087084263721e-05, + "loss": 0.8861, + "step": 8880 + }, + { + "epoch": 0.71, + "learning_rate": 4.249618051474909e-05, + "loss": 0.9329, + "step": 8890 + }, + { + "epoch": 0.71, + "learning_rate": 4.248149018686097e-05, + "loss": 0.8958, + "step": 8900 + }, + { + "epoch": 0.71, + "learning_rate": 4.2466799858972854e-05, + "loss": 0.9297, + "step": 8910 + }, + { + "epoch": 0.71, + "learning_rate": 4.2452109531084736e-05, + "loss": 0.8717, + "step": 8920 + }, + { + "epoch": 0.71, + "learning_rate": 4.243741920319662e-05, + "loss": 0.9116, + "step": 8930 + }, + { + "epoch": 0.71, + "learning_rate": 4.24227288753085e-05, + "loss": 0.8938, + "step": 8940 + }, + { + "epoch": 0.71, + "learning_rate": 4.240803854742038e-05, + "loss": 0.8845, + "step": 8950 + }, + { + "epoch": 0.71, + "learning_rate": 4.239334821953226e-05, + "loss": 0.9122, + "step": 8960 + }, + { + "epoch": 0.71, + "learning_rate": 4.2378657891644143e-05, + "loss": 0.9119, + "step": 8970 + }, + { + "epoch": 0.71, + "learning_rate": 4.2363967563756025e-05, + "loss": 0.8998, + "step": 8980 + }, + { + "epoch": 0.71, + "learning_rate": 4.2349277235867906e-05, + "loss": 0.9286, + "step": 8990 + }, + { + "epoch": 0.71, + "learning_rate": 4.233458690797979e-05, + "loss": 0.871, + "step": 9000 + }, + { + "epoch": 0.71, + "learning_rate": 4.231989658009167e-05, + "loss": 0.905, + "step": 9010 + }, + { + "epoch": 0.72, + "learning_rate": 4.230520625220355e-05, + "loss": 0.9065, + "step": 9020 + }, + { + "epoch": 0.72, + "learning_rate": 4.229051592431543e-05, + "loss": 0.9361, + "step": 9030 + }, + { + "epoch": 0.72, + "learning_rate": 4.2275825596427314e-05, + "loss": 0.882, + "step": 9040 + }, + { + "epoch": 0.72, + "learning_rate": 4.2261135268539196e-05, + "loss": 0.917, + "step": 9050 + }, + { + "epoch": 0.72, + "learning_rate": 4.224644494065108e-05, + "loss": 0.9222, + "step": 9060 + }, + { + "epoch": 0.72, + "learning_rate": 4.223175461276296e-05, + "loss": 0.8754, + "step": 9070 + }, + { + "epoch": 0.72, + "learning_rate": 4.221706428487484e-05, + "loss": 0.9219, + "step": 9080 + }, + { + "epoch": 0.72, + "learning_rate": 4.220237395698672e-05, + "loss": 0.9044, + "step": 9090 + }, + { + "epoch": 0.72, + "learning_rate": 4.21876836290986e-05, + "loss": 0.9117, + "step": 9100 + }, + { + "epoch": 0.72, + "learning_rate": 4.2172993301210485e-05, + "loss": 0.908, + "step": 9110 + }, + { + "epoch": 0.72, + "learning_rate": 4.2158302973322366e-05, + "loss": 0.9373, + "step": 9120 + }, + { + "epoch": 0.72, + "learning_rate": 4.214361264543425e-05, + "loss": 0.8511, + "step": 9130 + }, + { + "epoch": 0.73, + "learning_rate": 4.212892231754613e-05, + "loss": 0.8257, + "step": 9140 + }, + { + "epoch": 0.73, + "learning_rate": 4.211423198965801e-05, + "loss": 0.8926, + "step": 9150 + }, + { + "epoch": 0.73, + "learning_rate": 4.209954166176989e-05, + "loss": 0.9297, + "step": 9160 + }, + { + "epoch": 0.73, + "learning_rate": 4.2084851333881774e-05, + "loss": 0.8949, + "step": 9170 + }, + { + "epoch": 0.73, + "learning_rate": 4.2070161005993655e-05, + "loss": 0.8762, + "step": 9180 + }, + { + "epoch": 0.73, + "learning_rate": 4.2055470678105537e-05, + "loss": 0.9109, + "step": 9190 + }, + { + "epoch": 0.73, + "learning_rate": 4.204078035021742e-05, + "loss": 0.8877, + "step": 9200 + }, + { + "epoch": 0.73, + "learning_rate": 4.20260900223293e-05, + "loss": 0.8514, + "step": 9210 + }, + { + "epoch": 0.73, + "learning_rate": 4.201139969444118e-05, + "loss": 0.8681, + "step": 9220 + }, + { + "epoch": 0.73, + "learning_rate": 4.199670936655306e-05, + "loss": 0.9577, + "step": 9230 + }, + { + "epoch": 0.73, + "learning_rate": 4.1982019038664944e-05, + "loss": 0.9046, + "step": 9240 + }, + { + "epoch": 0.73, + "learning_rate": 4.1967328710776826e-05, + "loss": 0.9102, + "step": 9250 + }, + { + "epoch": 0.73, + "learning_rate": 4.195263838288871e-05, + "loss": 0.8569, + "step": 9260 + }, + { + "epoch": 0.74, + "learning_rate": 4.1937948055000595e-05, + "loss": 0.95, + "step": 9270 + }, + { + "epoch": 0.74, + "learning_rate": 4.192325772711247e-05, + "loss": 0.8572, + "step": 9280 + }, + { + "epoch": 0.74, + "learning_rate": 4.190856739922435e-05, + "loss": 0.9061, + "step": 9290 + }, + { + "epoch": 0.74, + "learning_rate": 4.189387707133623e-05, + "loss": 0.9138, + "step": 9300 + }, + { + "epoch": 0.74, + "learning_rate": 4.1879186743448115e-05, + "loss": 0.9223, + "step": 9310 + }, + { + "epoch": 0.74, + "learning_rate": 4.1864496415559996e-05, + "loss": 0.9323, + "step": 9320 + }, + { + "epoch": 0.74, + "learning_rate": 4.184980608767188e-05, + "loss": 0.8403, + "step": 9330 + }, + { + "epoch": 0.74, + "learning_rate": 4.183511575978376e-05, + "loss": 0.8864, + "step": 9340 + }, + { + "epoch": 0.74, + "learning_rate": 4.182042543189564e-05, + "loss": 0.8819, + "step": 9350 + }, + { + "epoch": 0.74, + "learning_rate": 4.180573510400752e-05, + "loss": 0.9139, + "step": 9360 + }, + { + "epoch": 0.74, + "learning_rate": 4.1791044776119404e-05, + "loss": 0.9142, + "step": 9370 + }, + { + "epoch": 0.74, + "learning_rate": 4.1776354448231285e-05, + "loss": 0.9197, + "step": 9380 + }, + { + "epoch": 0.74, + "learning_rate": 4.176166412034317e-05, + "loss": 0.8484, + "step": 9390 + }, + { + "epoch": 0.75, + "learning_rate": 4.1746973792455055e-05, + "loss": 0.874, + "step": 9400 + }, + { + "epoch": 0.75, + "learning_rate": 4.173228346456693e-05, + "loss": 0.94, + "step": 9410 + }, + { + "epoch": 0.75, + "learning_rate": 4.171759313667881e-05, + "loss": 0.8864, + "step": 9420 + }, + { + "epoch": 0.75, + "learning_rate": 4.170290280879069e-05, + "loss": 0.8698, + "step": 9430 + }, + { + "epoch": 0.75, + "learning_rate": 4.1688212480902574e-05, + "loss": 0.924, + "step": 9440 + }, + { + "epoch": 0.75, + "learning_rate": 4.1673522153014456e-05, + "loss": 0.8987, + "step": 9450 + }, + { + "epoch": 0.75, + "learning_rate": 4.165883182512634e-05, + "loss": 0.846, + "step": 9460 + }, + { + "epoch": 0.75, + "learning_rate": 4.164414149723822e-05, + "loss": 0.9335, + "step": 9470 + }, + { + "epoch": 0.75, + "learning_rate": 4.16294511693501e-05, + "loss": 0.903, + "step": 9480 + }, + { + "epoch": 0.75, + "learning_rate": 4.161476084146199e-05, + "loss": 0.8986, + "step": 9490 + }, + { + "epoch": 0.75, + "learning_rate": 4.160007051357386e-05, + "loss": 0.9032, + "step": 9500 + }, + { + "epoch": 0.75, + "learning_rate": 4.1585380185685745e-05, + "loss": 0.8794, + "step": 9510 + }, + { + "epoch": 0.76, + "learning_rate": 4.1570689857797626e-05, + "loss": 0.9754, + "step": 9520 + }, + { + "epoch": 0.76, + "learning_rate": 4.1555999529909515e-05, + "loss": 0.8878, + "step": 9530 + }, + { + "epoch": 0.76, + "learning_rate": 4.154130920202139e-05, + "loss": 0.8527, + "step": 9540 + }, + { + "epoch": 0.76, + "learning_rate": 4.152661887413327e-05, + "loss": 0.8302, + "step": 9550 + }, + { + "epoch": 0.76, + "learning_rate": 4.151192854624515e-05, + "loss": 0.8636, + "step": 9560 + }, + { + "epoch": 0.76, + "learning_rate": 4.149723821835704e-05, + "loss": 0.8775, + "step": 9570 + }, + { + "epoch": 0.76, + "learning_rate": 4.1482547890468915e-05, + "loss": 0.936, + "step": 9580 + }, + { + "epoch": 0.76, + "learning_rate": 4.14678575625808e-05, + "loss": 0.8702, + "step": 9590 + }, + { + "epoch": 0.76, + "learning_rate": 4.145316723469268e-05, + "loss": 0.8496, + "step": 9600 + }, + { + "epoch": 0.76, + "learning_rate": 4.143847690680456e-05, + "loss": 0.9518, + "step": 9610 + }, + { + "epoch": 0.76, + "learning_rate": 4.142378657891645e-05, + "loss": 0.9027, + "step": 9620 + }, + { + "epoch": 0.76, + "learning_rate": 4.140909625102832e-05, + "loss": 0.8916, + "step": 9630 + }, + { + "epoch": 0.76, + "learning_rate": 4.1394405923140204e-05, + "loss": 0.8939, + "step": 9640 + }, + { + "epoch": 0.77, + "learning_rate": 4.1379715595252086e-05, + "loss": 0.8696, + "step": 9650 + }, + { + "epoch": 0.77, + "learning_rate": 4.1365025267363974e-05, + "loss": 0.9312, + "step": 9660 + }, + { + "epoch": 0.77, + "learning_rate": 4.135033493947585e-05, + "loss": 0.8905, + "step": 9670 + }, + { + "epoch": 0.77, + "learning_rate": 4.133564461158773e-05, + "loss": 0.8579, + "step": 9680 + }, + { + "epoch": 0.77, + "learning_rate": 4.132095428369961e-05, + "loss": 0.8597, + "step": 9690 + }, + { + "epoch": 0.77, + "learning_rate": 4.13062639558115e-05, + "loss": 0.8951, + "step": 9700 + }, + { + "epoch": 0.77, + "learning_rate": 4.1291573627923375e-05, + "loss": 0.8688, + "step": 9710 + }, + { + "epoch": 0.77, + "learning_rate": 4.1276883300035256e-05, + "loss": 0.8764, + "step": 9720 + }, + { + "epoch": 0.77, + "learning_rate": 4.126219297214714e-05, + "loss": 0.8369, + "step": 9730 + }, + { + "epoch": 0.77, + "learning_rate": 4.1247502644259026e-05, + "loss": 0.9228, + "step": 9740 + }, + { + "epoch": 0.77, + "learning_rate": 4.123281231637091e-05, + "loss": 0.8963, + "step": 9750 + }, + { + "epoch": 0.77, + "learning_rate": 4.121812198848278e-05, + "loss": 0.9031, + "step": 9760 + }, + { + "epoch": 0.77, + "learning_rate": 4.1203431660594664e-05, + "loss": 0.8296, + "step": 9770 + }, + { + "epoch": 0.78, + "learning_rate": 4.1188741332706545e-05, + "loss": 0.9386, + "step": 9780 + }, + { + "epoch": 0.78, + "learning_rate": 4.1174051004818434e-05, + "loss": 0.8713, + "step": 9790 + }, + { + "epoch": 0.78, + "learning_rate": 4.115936067693031e-05, + "loss": 0.8901, + "step": 9800 + }, + { + "epoch": 0.78, + "learning_rate": 4.114467034904219e-05, + "loss": 0.9207, + "step": 9810 + }, + { + "epoch": 0.78, + "learning_rate": 4.112998002115407e-05, + "loss": 0.8851, + "step": 9820 + }, + { + "epoch": 0.78, + "learning_rate": 4.111528969326596e-05, + "loss": 0.9187, + "step": 9830 + }, + { + "epoch": 0.78, + "learning_rate": 4.110059936537784e-05, + "loss": 0.9037, + "step": 9840 + }, + { + "epoch": 0.78, + "learning_rate": 4.1085909037489716e-05, + "loss": 0.9211, + "step": 9850 + }, + { + "epoch": 0.78, + "learning_rate": 4.10712187096016e-05, + "loss": 0.8531, + "step": 9860 + }, + { + "epoch": 0.78, + "learning_rate": 4.1056528381713486e-05, + "loss": 0.9026, + "step": 9870 + }, + { + "epoch": 0.78, + "learning_rate": 4.104183805382537e-05, + "loss": 0.8681, + "step": 9880 + }, + { + "epoch": 0.78, + "learning_rate": 4.102714772593724e-05, + "loss": 0.8986, + "step": 9890 + }, + { + "epoch": 0.79, + "learning_rate": 4.1012457398049123e-05, + "loss": 0.8837, + "step": 9900 + }, + { + "epoch": 0.79, + "learning_rate": 4.099776707016101e-05, + "loss": 0.8816, + "step": 9910 + }, + { + "epoch": 0.79, + "learning_rate": 4.098307674227289e-05, + "loss": 0.9099, + "step": 9920 + }, + { + "epoch": 0.79, + "learning_rate": 4.096838641438477e-05, + "loss": 0.8693, + "step": 9930 + }, + { + "epoch": 0.79, + "learning_rate": 4.095369608649665e-05, + "loss": 0.9014, + "step": 9940 + }, + { + "epoch": 0.79, + "learning_rate": 4.093900575860853e-05, + "loss": 0.8561, + "step": 9950 + }, + { + "epoch": 0.79, + "learning_rate": 4.092431543072042e-05, + "loss": 0.8178, + "step": 9960 + }, + { + "epoch": 0.79, + "learning_rate": 4.09096251028323e-05, + "loss": 0.8695, + "step": 9970 + }, + { + "epoch": 0.79, + "learning_rate": 4.0894934774944175e-05, + "loss": 0.878, + "step": 9980 + }, + { + "epoch": 0.79, + "learning_rate": 4.088024444705606e-05, + "loss": 0.8924, + "step": 9990 + }, + { + "epoch": 0.79, + "learning_rate": 4.0865554119167945e-05, + "loss": 0.876, + "step": 10000 + }, + { + "epoch": 0.79, + "learning_rate": 4.085086379127983e-05, + "loss": 0.9255, + "step": 10010 + }, + { + "epoch": 0.79, + "learning_rate": 4.08361734633917e-05, + "loss": 0.8642, + "step": 10020 + }, + { + "epoch": 0.8, + "learning_rate": 4.082148313550358e-05, + "loss": 0.8676, + "step": 10030 + }, + { + "epoch": 0.8, + "learning_rate": 4.080679280761547e-05, + "loss": 0.8953, + "step": 10040 + }, + { + "epoch": 0.8, + "learning_rate": 4.079210247972735e-05, + "loss": 0.8712, + "step": 10050 + }, + { + "epoch": 0.8, + "learning_rate": 4.077741215183923e-05, + "loss": 0.9003, + "step": 10060 + }, + { + "epoch": 0.8, + "learning_rate": 4.076272182395111e-05, + "loss": 0.8641, + "step": 10070 + }, + { + "epoch": 0.8, + "learning_rate": 4.074803149606299e-05, + "loss": 0.8596, + "step": 10080 + }, + { + "epoch": 0.8, + "learning_rate": 4.073334116817488e-05, + "loss": 0.8826, + "step": 10090 + }, + { + "epoch": 0.8, + "learning_rate": 4.071865084028676e-05, + "loss": 0.9141, + "step": 10100 + }, + { + "epoch": 0.8, + "learning_rate": 4.0703960512398635e-05, + "loss": 0.8354, + "step": 10110 + }, + { + "epoch": 0.8, + "learning_rate": 4.0689270184510517e-05, + "loss": 0.8542, + "step": 10120 + }, + { + "epoch": 0.8, + "learning_rate": 4.0674579856622405e-05, + "loss": 0.8413, + "step": 10130 + }, + { + "epoch": 0.8, + "learning_rate": 4.0659889528734286e-05, + "loss": 0.923, + "step": 10140 + }, + { + "epoch": 0.81, + "learning_rate": 4.064519920084616e-05, + "loss": 0.9084, + "step": 10150 + }, + { + "epoch": 0.81, + "learning_rate": 4.063050887295804e-05, + "loss": 0.8891, + "step": 10160 + }, + { + "epoch": 0.81, + "learning_rate": 4.061581854506993e-05, + "loss": 0.9236, + "step": 10170 + }, + { + "epoch": 0.81, + "learning_rate": 4.060112821718181e-05, + "loss": 0.8644, + "step": 10180 + }, + { + "epoch": 0.81, + "learning_rate": 4.0586437889293694e-05, + "loss": 0.8662, + "step": 10190 + }, + { + "epoch": 0.81, + "learning_rate": 4.057174756140557e-05, + "loss": 0.8365, + "step": 10200 + }, + { + "epoch": 0.81, + "learning_rate": 4.055705723351746e-05, + "loss": 0.8493, + "step": 10210 + }, + { + "epoch": 0.81, + "learning_rate": 4.054236690562934e-05, + "loss": 0.8388, + "step": 10220 + }, + { + "epoch": 0.81, + "learning_rate": 4.052767657774122e-05, + "loss": 0.8607, + "step": 10230 + }, + { + "epoch": 0.81, + "learning_rate": 4.0512986249853095e-05, + "loss": 0.866, + "step": 10240 + }, + { + "epoch": 0.81, + "learning_rate": 4.0498295921964976e-05, + "loss": 0.8592, + "step": 10250 + }, + { + "epoch": 0.81, + "learning_rate": 4.0483605594076864e-05, + "loss": 0.8032, + "step": 10260 + }, + { + "epoch": 0.81, + "learning_rate": 4.0468915266188746e-05, + "loss": 0.8707, + "step": 10270 + }, + { + "epoch": 0.82, + "learning_rate": 4.045422493830062e-05, + "loss": 0.8648, + "step": 10280 + }, + { + "epoch": 0.82, + "learning_rate": 4.04395346104125e-05, + "loss": 0.8899, + "step": 10290 + }, + { + "epoch": 0.82, + "learning_rate": 4.042484428252439e-05, + "loss": 0.8637, + "step": 10300 + }, + { + "epoch": 0.82, + "learning_rate": 4.041015395463627e-05, + "loss": 0.9303, + "step": 10310 + }, + { + "epoch": 0.82, + "learning_rate": 4.0395463626748153e-05, + "loss": 0.9301, + "step": 10320 + }, + { + "epoch": 0.82, + "learning_rate": 4.038077329886003e-05, + "loss": 0.8612, + "step": 10330 + }, + { + "epoch": 0.82, + "learning_rate": 4.0366082970971916e-05, + "loss": 0.8664, + "step": 10340 + }, + { + "epoch": 0.82, + "learning_rate": 4.03513926430838e-05, + "loss": 0.8583, + "step": 10350 + }, + { + "epoch": 0.82, + "learning_rate": 4.033670231519568e-05, + "loss": 0.9188, + "step": 10360 + }, + { + "epoch": 0.82, + "learning_rate": 4.0322011987307554e-05, + "loss": 0.9018, + "step": 10370 + }, + { + "epoch": 0.82, + "learning_rate": 4.030732165941944e-05, + "loss": 0.8611, + "step": 10380 + }, + { + "epoch": 0.82, + "learning_rate": 4.0292631331531324e-05, + "loss": 0.8737, + "step": 10390 + }, + { + "epoch": 0.82, + "learning_rate": 4.0277941003643205e-05, + "loss": 0.8986, + "step": 10400 + }, + { + "epoch": 0.83, + "learning_rate": 4.026325067575508e-05, + "loss": 0.8448, + "step": 10410 + }, + { + "epoch": 0.83, + "learning_rate": 4.024856034786696e-05, + "loss": 0.8693, + "step": 10420 + }, + { + "epoch": 0.83, + "learning_rate": 4.023387001997885e-05, + "loss": 0.8856, + "step": 10430 + }, + { + "epoch": 0.83, + "learning_rate": 4.021917969209073e-05, + "loss": 0.8367, + "step": 10440 + }, + { + "epoch": 0.83, + "learning_rate": 4.020448936420261e-05, + "loss": 0.9003, + "step": 10450 + }, + { + "epoch": 0.83, + "learning_rate": 4.018979903631449e-05, + "loss": 0.8471, + "step": 10460 + }, + { + "epoch": 0.83, + "learning_rate": 4.0175108708426376e-05, + "loss": 0.8927, + "step": 10470 + }, + { + "epoch": 0.83, + "learning_rate": 4.016041838053826e-05, + "loss": 0.8289, + "step": 10480 + }, + { + "epoch": 0.83, + "learning_rate": 4.014572805265014e-05, + "loss": 0.8853, + "step": 10490 + }, + { + "epoch": 0.83, + "learning_rate": 4.0131037724762014e-05, + "loss": 0.8393, + "step": 10500 + }, + { + "epoch": 0.83, + "learning_rate": 4.01163473968739e-05, + "loss": 0.8716, + "step": 10510 + }, + { + "epoch": 0.83, + "learning_rate": 4.0101657068985784e-05, + "loss": 0.8807, + "step": 10520 + }, + { + "epoch": 0.84, + "learning_rate": 4.0086966741097665e-05, + "loss": 0.8733, + "step": 10530 + }, + { + "epoch": 0.84, + "learning_rate": 4.0072276413209547e-05, + "loss": 0.8339, + "step": 10540 + }, + { + "epoch": 0.84, + "learning_rate": 4.005758608532142e-05, + "loss": 0.9074, + "step": 10550 + }, + { + "epoch": 0.84, + "learning_rate": 4.004289575743331e-05, + "loss": 0.9111, + "step": 10560 + }, + { + "epoch": 0.84, + "learning_rate": 4.002820542954519e-05, + "loss": 0.8481, + "step": 10570 + }, + { + "epoch": 0.84, + "learning_rate": 4.001351510165707e-05, + "loss": 0.8914, + "step": 10580 + }, + { + "epoch": 0.84, + "learning_rate": 3.999882477376895e-05, + "loss": 0.8561, + "step": 10590 + }, + { + "epoch": 0.84, + "learning_rate": 3.9984134445880836e-05, + "loss": 0.9308, + "step": 10600 + }, + { + "epoch": 0.84, + "learning_rate": 3.996944411799272e-05, + "loss": 0.897, + "step": 10610 + }, + { + "epoch": 0.84, + "learning_rate": 3.99547537901046e-05, + "loss": 0.8875, + "step": 10620 + }, + { + "epoch": 0.84, + "learning_rate": 3.994006346221647e-05, + "loss": 0.896, + "step": 10630 + }, + { + "epoch": 0.84, + "learning_rate": 3.992537313432836e-05, + "loss": 0.8112, + "step": 10640 + }, + { + "epoch": 0.84, + "learning_rate": 3.991068280644024e-05, + "loss": 0.8924, + "step": 10650 + }, + { + "epoch": 0.85, + "learning_rate": 3.9895992478552125e-05, + "loss": 0.8163, + "step": 10660 + }, + { + "epoch": 0.85, + "learning_rate": 3.9881302150664006e-05, + "loss": 0.9103, + "step": 10670 + }, + { + "epoch": 0.85, + "learning_rate": 3.986661182277589e-05, + "loss": 0.8356, + "step": 10680 + }, + { + "epoch": 0.85, + "learning_rate": 3.985192149488777e-05, + "loss": 0.8728, + "step": 10690 + }, + { + "epoch": 0.85, + "learning_rate": 3.983723116699965e-05, + "loss": 0.8659, + "step": 10700 + }, + { + "epoch": 0.85, + "learning_rate": 3.982254083911153e-05, + "loss": 0.8867, + "step": 10710 + }, + { + "epoch": 0.85, + "learning_rate": 3.980785051122341e-05, + "loss": 0.8382, + "step": 10720 + }, + { + "epoch": 0.85, + "learning_rate": 3.9793160183335295e-05, + "loss": 0.8952, + "step": 10730 + }, + { + "epoch": 0.85, + "learning_rate": 3.977846985544718e-05, + "loss": 0.8362, + "step": 10740 + }, + { + "epoch": 0.85, + "learning_rate": 3.976377952755906e-05, + "loss": 0.9009, + "step": 10750 + }, + { + "epoch": 0.85, + "learning_rate": 3.974908919967093e-05, + "loss": 0.9107, + "step": 10760 + }, + { + "epoch": 0.85, + "learning_rate": 3.973439887178282e-05, + "loss": 0.8573, + "step": 10770 + }, + { + "epoch": 0.86, + "learning_rate": 3.97197085438947e-05, + "loss": 0.8775, + "step": 10780 + }, + { + "epoch": 0.86, + "learning_rate": 3.9705018216006584e-05, + "loss": 0.8896, + "step": 10790 + }, + { + "epoch": 0.86, + "learning_rate": 3.9690327888118466e-05, + "loss": 0.8982, + "step": 10800 + }, + { + "epoch": 0.86, + "learning_rate": 3.967563756023035e-05, + "loss": 0.8407, + "step": 10810 + }, + { + "epoch": 0.86, + "learning_rate": 3.966094723234223e-05, + "loss": 0.834, + "step": 10820 + }, + { + "epoch": 0.86, + "learning_rate": 3.964625690445411e-05, + "loss": 0.8487, + "step": 10830 + }, + { + "epoch": 0.86, + "learning_rate": 3.963156657656599e-05, + "loss": 0.9157, + "step": 10840 + }, + { + "epoch": 0.86, + "learning_rate": 3.961687624867787e-05, + "loss": 0.885, + "step": 10850 + }, + { + "epoch": 0.86, + "learning_rate": 3.9602185920789755e-05, + "loss": 0.8681, + "step": 10860 + }, + { + "epoch": 0.86, + "learning_rate": 3.9587495592901636e-05, + "loss": 0.8972, + "step": 10870 + }, + { + "epoch": 0.86, + "learning_rate": 3.957280526501352e-05, + "loss": 0.8672, + "step": 10880 + }, + { + "epoch": 0.86, + "learning_rate": 3.95581149371254e-05, + "loss": 0.8967, + "step": 10890 + }, + { + "epoch": 0.86, + "learning_rate": 3.954342460923728e-05, + "loss": 0.8799, + "step": 10900 + }, + { + "epoch": 0.87, + "learning_rate": 3.952873428134916e-05, + "loss": 0.9148, + "step": 10910 + }, + { + "epoch": 0.87, + "learning_rate": 3.9514043953461044e-05, + "loss": 0.8056, + "step": 10920 + }, + { + "epoch": 0.87, + "learning_rate": 3.9499353625572925e-05, + "loss": 0.8541, + "step": 10930 + }, + { + "epoch": 0.87, + "learning_rate": 3.948466329768481e-05, + "loss": 0.8608, + "step": 10940 + }, + { + "epoch": 0.87, + "learning_rate": 3.946997296979669e-05, + "loss": 0.8124, + "step": 10950 + }, + { + "epoch": 0.87, + "learning_rate": 3.945528264190857e-05, + "loss": 0.8836, + "step": 10960 + }, + { + "epoch": 0.87, + "learning_rate": 3.944059231402045e-05, + "loss": 0.8788, + "step": 10970 + }, + { + "epoch": 0.87, + "learning_rate": 3.942590198613233e-05, + "loss": 0.8522, + "step": 10980 + }, + { + "epoch": 0.87, + "learning_rate": 3.9411211658244214e-05, + "loss": 0.9229, + "step": 10990 + }, + { + "epoch": 0.87, + "learning_rate": 3.9396521330356096e-05, + "loss": 0.8758, + "step": 11000 + }, + { + "epoch": 0.87, + "learning_rate": 3.938183100246798e-05, + "loss": 0.8955, + "step": 11010 + }, + { + "epoch": 0.87, + "learning_rate": 3.936714067457986e-05, + "loss": 0.8163, + "step": 11020 + }, + { + "epoch": 0.87, + "learning_rate": 3.935245034669174e-05, + "loss": 0.8753, + "step": 11030 + }, + { + "epoch": 0.88, + "learning_rate": 3.933776001880362e-05, + "loss": 0.8616, + "step": 11040 + }, + { + "epoch": 0.88, + "learning_rate": 3.93230696909155e-05, + "loss": 0.8597, + "step": 11050 + }, + { + "epoch": 0.88, + "learning_rate": 3.9308379363027385e-05, + "loss": 0.8954, + "step": 11060 + }, + { + "epoch": 0.88, + "learning_rate": 3.9293689035139266e-05, + "loss": 0.8548, + "step": 11070 + }, + { + "epoch": 0.88, + "learning_rate": 3.927899870725115e-05, + "loss": 0.8215, + "step": 11080 + }, + { + "epoch": 0.88, + "learning_rate": 3.926430837936303e-05, + "loss": 0.8658, + "step": 11090 + }, + { + "epoch": 0.88, + "learning_rate": 3.924961805147491e-05, + "loss": 0.8113, + "step": 11100 + }, + { + "epoch": 0.88, + "learning_rate": 3.923492772358679e-05, + "loss": 0.7995, + "step": 11110 + }, + { + "epoch": 0.88, + "learning_rate": 3.9220237395698674e-05, + "loss": 0.8767, + "step": 11120 + }, + { + "epoch": 0.88, + "learning_rate": 3.9205547067810555e-05, + "loss": 0.8863, + "step": 11130 + }, + { + "epoch": 0.88, + "learning_rate": 3.919085673992244e-05, + "loss": 0.8558, + "step": 11140 + }, + { + "epoch": 0.88, + "learning_rate": 3.917616641203432e-05, + "loss": 0.8121, + "step": 11150 + }, + { + "epoch": 0.89, + "learning_rate": 3.91614760841462e-05, + "loss": 0.8536, + "step": 11160 + }, + { + "epoch": 0.89, + "learning_rate": 3.914678575625808e-05, + "loss": 0.8644, + "step": 11170 + }, + { + "epoch": 0.89, + "learning_rate": 3.913209542836996e-05, + "loss": 0.8639, + "step": 11180 + }, + { + "epoch": 0.89, + "learning_rate": 3.9117405100481844e-05, + "loss": 0.8745, + "step": 11190 + }, + { + "epoch": 0.89, + "learning_rate": 3.9102714772593726e-05, + "loss": 0.8533, + "step": 11200 + }, + { + "epoch": 0.89, + "learning_rate": 3.908802444470561e-05, + "loss": 0.8474, + "step": 11210 + }, + { + "epoch": 0.89, + "learning_rate": 3.907333411681749e-05, + "loss": 0.8681, + "step": 11220 + }, + { + "epoch": 0.89, + "learning_rate": 3.905864378892937e-05, + "loss": 0.8564, + "step": 11230 + }, + { + "epoch": 0.89, + "learning_rate": 3.904395346104125e-05, + "loss": 0.8229, + "step": 11240 + }, + { + "epoch": 0.89, + "learning_rate": 3.9029263133153133e-05, + "loss": 0.8659, + "step": 11250 + }, + { + "epoch": 0.89, + "learning_rate": 3.9014572805265015e-05, + "loss": 0.8509, + "step": 11260 + }, + { + "epoch": 0.89, + "learning_rate": 3.8999882477376896e-05, + "loss": 0.898, + "step": 11270 + }, + { + "epoch": 0.89, + "learning_rate": 3.898519214948878e-05, + "loss": 0.8732, + "step": 11280 + }, + { + "epoch": 0.9, + "learning_rate": 3.897050182160066e-05, + "loss": 0.8895, + "step": 11290 + }, + { + "epoch": 0.9, + "learning_rate": 3.895581149371254e-05, + "loss": 0.8289, + "step": 11300 + }, + { + "epoch": 0.9, + "learning_rate": 3.894112116582442e-05, + "loss": 0.8409, + "step": 11310 + }, + { + "epoch": 0.9, + "learning_rate": 3.8926430837936304e-05, + "loss": 0.942, + "step": 11320 + }, + { + "epoch": 0.9, + "learning_rate": 3.8911740510048185e-05, + "loss": 0.9438, + "step": 11330 + }, + { + "epoch": 0.9, + "learning_rate": 3.889705018216007e-05, + "loss": 0.8123, + "step": 11340 + }, + { + "epoch": 0.9, + "learning_rate": 3.888235985427195e-05, + "loss": 0.8604, + "step": 11350 + }, + { + "epoch": 0.9, + "learning_rate": 3.886766952638383e-05, + "loss": 0.8256, + "step": 11360 + }, + { + "epoch": 0.9, + "learning_rate": 3.885297919849571e-05, + "loss": 0.8124, + "step": 11370 + }, + { + "epoch": 0.9, + "learning_rate": 3.883828887060759e-05, + "loss": 0.862, + "step": 11380 + }, + { + "epoch": 0.9, + "learning_rate": 3.8823598542719474e-05, + "loss": 0.8239, + "step": 11390 + }, + { + "epoch": 0.9, + "learning_rate": 3.8808908214831356e-05, + "loss": 0.8447, + "step": 11400 + }, + { + "epoch": 0.91, + "learning_rate": 3.879421788694324e-05, + "loss": 0.8425, + "step": 11410 + }, + { + "epoch": 0.91, + "learning_rate": 3.877952755905512e-05, + "loss": 0.8332, + "step": 11420 + }, + { + "epoch": 0.91, + "learning_rate": 3.8764837231167e-05, + "loss": 0.8692, + "step": 11430 + }, + { + "epoch": 0.91, + "learning_rate": 3.875014690327888e-05, + "loss": 0.8102, + "step": 11440 + }, + { + "epoch": 0.91, + "learning_rate": 3.8735456575390763e-05, + "loss": 0.867, + "step": 11450 + }, + { + "epoch": 0.91, + "learning_rate": 3.8720766247502645e-05, + "loss": 0.8179, + "step": 11460 + }, + { + "epoch": 0.91, + "learning_rate": 3.8706075919614527e-05, + "loss": 0.8777, + "step": 11470 + }, + { + "epoch": 0.91, + "learning_rate": 3.869138559172641e-05, + "loss": 0.8434, + "step": 11480 + }, + { + "epoch": 0.91, + "learning_rate": 3.867669526383829e-05, + "loss": 0.8357, + "step": 11490 + }, + { + "epoch": 0.91, + "learning_rate": 3.866200493595018e-05, + "loss": 0.8012, + "step": 11500 + }, + { + "epoch": 0.91, + "learning_rate": 3.864731460806205e-05, + "loss": 0.8696, + "step": 11510 + }, + { + "epoch": 0.91, + "learning_rate": 3.8632624280173934e-05, + "loss": 0.8972, + "step": 11520 + }, + { + "epoch": 0.91, + "learning_rate": 3.8617933952285816e-05, + "loss": 0.8675, + "step": 11530 + }, + { + "epoch": 0.92, + "learning_rate": 3.86032436243977e-05, + "loss": 0.8139, + "step": 11540 + }, + { + "epoch": 0.92, + "learning_rate": 3.858855329650958e-05, + "loss": 0.8702, + "step": 11550 + }, + { + "epoch": 0.92, + "learning_rate": 3.857386296862146e-05, + "loss": 0.898, + "step": 11560 + }, + { + "epoch": 0.92, + "learning_rate": 3.855917264073334e-05, + "loss": 0.8095, + "step": 11570 + }, + { + "epoch": 0.92, + "learning_rate": 3.854448231284522e-05, + "loss": 0.8472, + "step": 11580 + }, + { + "epoch": 0.92, + "learning_rate": 3.852979198495711e-05, + "loss": 0.8717, + "step": 11590 + }, + { + "epoch": 0.92, + "learning_rate": 3.8515101657068986e-05, + "loss": 0.8423, + "step": 11600 + }, + { + "epoch": 0.92, + "learning_rate": 3.850041132918087e-05, + "loss": 0.8522, + "step": 11610 + }, + { + "epoch": 0.92, + "learning_rate": 3.848572100129275e-05, + "loss": 0.8577, + "step": 11620 + }, + { + "epoch": 0.92, + "learning_rate": 3.847103067340464e-05, + "loss": 0.8813, + "step": 11630 + }, + { + "epoch": 0.92, + "learning_rate": 3.845634034551651e-05, + "loss": 0.856, + "step": 11640 + }, + { + "epoch": 0.92, + "learning_rate": 3.8441650017628394e-05, + "loss": 0.8749, + "step": 11650 + }, + { + "epoch": 0.92, + "learning_rate": 3.8426959689740275e-05, + "loss": 0.8411, + "step": 11660 + }, + { + "epoch": 0.93, + "learning_rate": 3.841226936185216e-05, + "loss": 0.9075, + "step": 11670 + }, + { + "epoch": 0.93, + "learning_rate": 3.839757903396404e-05, + "loss": 0.8638, + "step": 11680 + }, + { + "epoch": 0.93, + "learning_rate": 3.838288870607592e-05, + "loss": 0.8181, + "step": 11690 + }, + { + "epoch": 0.93, + "learning_rate": 3.83681983781878e-05, + "loss": 0.848, + "step": 11700 + }, + { + "epoch": 0.93, + "learning_rate": 3.835350805029968e-05, + "loss": 0.841, + "step": 11710 + }, + { + "epoch": 0.93, + "learning_rate": 3.833881772241157e-05, + "loss": 0.8594, + "step": 11720 + }, + { + "epoch": 0.93, + "learning_rate": 3.8324127394523446e-05, + "loss": 0.8535, + "step": 11730 + }, + { + "epoch": 0.93, + "learning_rate": 3.830943706663533e-05, + "loss": 0.9165, + "step": 11740 + }, + { + "epoch": 0.93, + "learning_rate": 3.829474673874721e-05, + "loss": 0.8424, + "step": 11750 + }, + { + "epoch": 0.93, + "learning_rate": 3.82800564108591e-05, + "loss": 0.8787, + "step": 11760 + }, + { + "epoch": 0.93, + "learning_rate": 3.826536608297097e-05, + "loss": 0.8674, + "step": 11770 + }, + { + "epoch": 0.93, + "learning_rate": 3.825067575508285e-05, + "loss": 0.836, + "step": 11780 + }, + { + "epoch": 0.94, + "learning_rate": 3.8235985427194735e-05, + "loss": 0.7931, + "step": 11790 + }, + { + "epoch": 0.94, + "learning_rate": 3.822129509930662e-05, + "loss": 0.9458, + "step": 11800 + }, + { + "epoch": 0.94, + "learning_rate": 3.82066047714185e-05, + "loss": 0.8748, + "step": 11810 + }, + { + "epoch": 0.94, + "learning_rate": 3.819191444353038e-05, + "loss": 0.8691, + "step": 11820 + }, + { + "epoch": 0.94, + "learning_rate": 3.817722411564226e-05, + "loss": 0.8576, + "step": 11830 + }, + { + "epoch": 0.94, + "learning_rate": 3.816253378775414e-05, + "loss": 0.8425, + "step": 11840 + }, + { + "epoch": 0.94, + "learning_rate": 3.814784345986603e-05, + "loss": 0.9407, + "step": 11850 + }, + { + "epoch": 0.94, + "learning_rate": 3.8133153131977905e-05, + "loss": 0.7633, + "step": 11860 + }, + { + "epoch": 0.94, + "learning_rate": 3.811846280408979e-05, + "loss": 0.8708, + "step": 11870 + }, + { + "epoch": 0.94, + "learning_rate": 3.810377247620167e-05, + "loss": 0.8314, + "step": 11880 + }, + { + "epoch": 0.94, + "learning_rate": 3.8089082148313556e-05, + "loss": 0.9193, + "step": 11890 + }, + { + "epoch": 0.94, + "learning_rate": 3.807439182042543e-05, + "loss": 0.8265, + "step": 11900 + }, + { + "epoch": 0.94, + "learning_rate": 3.805970149253731e-05, + "loss": 0.8689, + "step": 11910 + }, + { + "epoch": 0.95, + "learning_rate": 3.8045011164649194e-05, + "loss": 0.8512, + "step": 11920 + }, + { + "epoch": 0.95, + "learning_rate": 3.803032083676108e-05, + "loss": 0.8755, + "step": 11930 + }, + { + "epoch": 0.95, + "learning_rate": 3.8015630508872964e-05, + "loss": 0.8362, + "step": 11940 + }, + { + "epoch": 0.95, + "learning_rate": 3.800094018098484e-05, + "loss": 0.8373, + "step": 11950 + }, + { + "epoch": 0.95, + "learning_rate": 3.798624985309672e-05, + "loss": 0.8696, + "step": 11960 + }, + { + "epoch": 0.95, + "learning_rate": 3.797155952520861e-05, + "loss": 0.7984, + "step": 11970 + }, + { + "epoch": 0.95, + "learning_rate": 3.795686919732049e-05, + "loss": 0.8312, + "step": 11980 + }, + { + "epoch": 0.95, + "learning_rate": 3.7942178869432365e-05, + "loss": 0.8461, + "step": 11990 + }, + { + "epoch": 0.95, + "learning_rate": 3.7927488541544246e-05, + "loss": 0.8632, + "step": 12000 + }, + { + "epoch": 0.95, + "learning_rate": 3.791279821365613e-05, + "loss": 0.8798, + "step": 12010 + }, + { + "epoch": 0.95, + "learning_rate": 3.7898107885768016e-05, + "loss": 0.8416, + "step": 12020 + }, + { + "epoch": 0.95, + "learning_rate": 3.788341755787989e-05, + "loss": 0.8531, + "step": 12030 + }, + { + "epoch": 0.96, + "learning_rate": 3.786872722999177e-05, + "loss": 0.8551, + "step": 12040 + }, + { + "epoch": 0.96, + "learning_rate": 3.7854036902103654e-05, + "loss": 0.8286, + "step": 12050 + }, + { + "epoch": 0.96, + "learning_rate": 3.783934657421554e-05, + "loss": 0.833, + "step": 12060 + }, + { + "epoch": 0.96, + "learning_rate": 3.7824656246327424e-05, + "loss": 0.8475, + "step": 12070 + }, + { + "epoch": 0.96, + "learning_rate": 3.78099659184393e-05, + "loss": 0.8436, + "step": 12080 + }, + { + "epoch": 0.96, + "learning_rate": 3.779527559055118e-05, + "loss": 0.8467, + "step": 12090 + }, + { + "epoch": 0.96, + "learning_rate": 3.778058526266307e-05, + "loss": 0.8707, + "step": 12100 + }, + { + "epoch": 0.96, + "learning_rate": 3.776589493477495e-05, + "loss": 0.8695, + "step": 12110 + }, + { + "epoch": 0.96, + "learning_rate": 3.7751204606886824e-05, + "loss": 0.8497, + "step": 12120 + }, + { + "epoch": 0.96, + "learning_rate": 3.7736514278998706e-05, + "loss": 0.8431, + "step": 12130 + }, + { + "epoch": 0.96, + "learning_rate": 3.7721823951110594e-05, + "loss": 0.8808, + "step": 12140 + }, + { + "epoch": 0.96, + "learning_rate": 3.7707133623222476e-05, + "loss": 0.8923, + "step": 12150 + }, + { + "epoch": 0.96, + "learning_rate": 3.769244329533435e-05, + "loss": 0.9064, + "step": 12160 + }, + { + "epoch": 0.97, + "learning_rate": 3.767775296744623e-05, + "loss": 0.8548, + "step": 12170 + }, + { + "epoch": 0.97, + "learning_rate": 3.766306263955811e-05, + "loss": 0.903, + "step": 12180 + }, + { + "epoch": 0.97, + "learning_rate": 3.764837231167e-05, + "loss": 0.8979, + "step": 12190 + }, + { + "epoch": 0.97, + "learning_rate": 3.763368198378188e-05, + "loss": 0.8716, + "step": 12200 + }, + { + "epoch": 0.97, + "learning_rate": 3.761899165589376e-05, + "loss": 0.8683, + "step": 12210 + }, + { + "epoch": 0.97, + "learning_rate": 3.760430132800564e-05, + "loss": 0.8444, + "step": 12220 + }, + { + "epoch": 0.97, + "learning_rate": 3.758961100011753e-05, + "loss": 0.8507, + "step": 12230 + }, + { + "epoch": 0.97, + "learning_rate": 3.757492067222941e-05, + "loss": 0.8798, + "step": 12240 + }, + { + "epoch": 0.97, + "learning_rate": 3.7560230344341284e-05, + "loss": 0.8541, + "step": 12250 + }, + { + "epoch": 0.97, + "learning_rate": 3.7545540016453165e-05, + "loss": 0.8167, + "step": 12260 + }, + { + "epoch": 0.97, + "learning_rate": 3.7530849688565054e-05, + "loss": 0.9093, + "step": 12270 + }, + { + "epoch": 0.97, + "learning_rate": 3.7516159360676935e-05, + "loss": 0.8632, + "step": 12280 + }, + { + "epoch": 0.97, + "learning_rate": 3.750146903278882e-05, + "loss": 0.8992, + "step": 12290 + }, + { + "epoch": 0.98, + "learning_rate": 3.748677870490069e-05, + "loss": 0.876, + "step": 12300 + }, + { + "epoch": 0.98, + "learning_rate": 3.747208837701258e-05, + "loss": 0.8237, + "step": 12310 + }, + { + "epoch": 0.98, + "learning_rate": 3.745739804912446e-05, + "loss": 0.8165, + "step": 12320 + }, + { + "epoch": 0.98, + "learning_rate": 3.744270772123634e-05, + "loss": 0.7832, + "step": 12330 + }, + { + "epoch": 0.98, + "learning_rate": 3.742801739334822e-05, + "loss": 0.8783, + "step": 12340 + }, + { + "epoch": 0.98, + "learning_rate": 3.74133270654601e-05, + "loss": 0.8415, + "step": 12350 + }, + { + "epoch": 0.98, + "learning_rate": 3.739863673757199e-05, + "loss": 0.8106, + "step": 12360 + }, + { + "epoch": 0.98, + "learning_rate": 3.738394640968387e-05, + "loss": 0.8615, + "step": 12370 + }, + { + "epoch": 0.98, + "learning_rate": 3.7369256081795743e-05, + "loss": 0.8667, + "step": 12380 + }, + { + "epoch": 0.98, + "learning_rate": 3.7354565753907625e-05, + "loss": 0.8609, + "step": 12390 + }, + { + "epoch": 0.98, + "learning_rate": 3.733987542601951e-05, + "loss": 0.8507, + "step": 12400 + }, + { + "epoch": 0.98, + "learning_rate": 3.7325185098131395e-05, + "loss": 0.8864, + "step": 12410 + }, + { + "epoch": 0.99, + "learning_rate": 3.7310494770243276e-05, + "loss": 0.8449, + "step": 12420 + }, + { + "epoch": 0.99, + "learning_rate": 3.729580444235515e-05, + "loss": 0.797, + "step": 12430 + }, + { + "epoch": 0.99, + "learning_rate": 3.728111411446704e-05, + "loss": 0.8783, + "step": 12440 + }, + { + "epoch": 0.99, + "learning_rate": 3.726642378657892e-05, + "loss": 0.9068, + "step": 12450 + }, + { + "epoch": 0.99, + "learning_rate": 3.72517334586908e-05, + "loss": 0.866, + "step": 12460 + }, + { + "epoch": 0.99, + "learning_rate": 3.723704313080268e-05, + "loss": 0.9002, + "step": 12470 + }, + { + "epoch": 0.99, + "learning_rate": 3.722235280291456e-05, + "loss": 0.7855, + "step": 12480 + }, + { + "epoch": 0.99, + "learning_rate": 3.720766247502645e-05, + "loss": 0.8548, + "step": 12490 + }, + { + "epoch": 0.99, + "learning_rate": 3.719297214713833e-05, + "loss": 0.8102, + "step": 12500 + }, + { + "epoch": 0.99, + "learning_rate": 3.71782818192502e-05, + "loss": 0.9192, + "step": 12510 + }, + { + "epoch": 0.99, + "learning_rate": 3.7163591491362085e-05, + "loss": 0.8461, + "step": 12520 + }, + { + "epoch": 0.99, + "learning_rate": 3.714890116347397e-05, + "loss": 0.7977, + "step": 12530 + }, + { + "epoch": 0.99, + "learning_rate": 3.7134210835585854e-05, + "loss": 0.8306, + "step": 12540 + }, + { + "epoch": 1.0, + "learning_rate": 3.7119520507697736e-05, + "loss": 0.8085, + "step": 12550 + }, + { + "epoch": 1.0, + "learning_rate": 3.710483017980961e-05, + "loss": 0.8605, + "step": 12560 + }, + { + "epoch": 1.0, + "learning_rate": 3.70901398519215e-05, + "loss": 0.8643, + "step": 12570 + }, + { + "epoch": 1.0, + "learning_rate": 3.707544952403338e-05, + "loss": 0.7989, + "step": 12580 + }, + { + "epoch": 1.0, + "learning_rate": 3.706075919614526e-05, + "loss": 0.8722, + "step": 12590 + }, + { + "epoch": 1.0, + "learning_rate": 3.7046068868257137e-05, + "loss": 0.939, + "step": 12600 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.785347679348951, + "eval_loss": 0.827536404132843, + "eval_runtime": 2008.6604, + "eval_samples_per_second": 401.671, + "eval_steps_per_second": 6.276, + "step": 12606 + }, + { + "epoch": 1.0, + "learning_rate": 3.7031378540369025e-05, + "loss": 0.7626, + "step": 12610 + }, + { + "epoch": 1.0, + "learning_rate": 3.7016688212480906e-05, + "loss": 0.7947, + "step": 12620 + }, + { + "epoch": 1.0, + "learning_rate": 3.700199788459279e-05, + "loss": 0.8057, + "step": 12630 + }, + { + "epoch": 1.0, + "learning_rate": 3.698730755670467e-05, + "loss": 0.7983, + "step": 12640 + }, + { + "epoch": 1.0, + "learning_rate": 3.6972617228816544e-05, + "loss": 0.7852, + "step": 12650 + }, + { + "epoch": 1.0, + "learning_rate": 3.695792690092843e-05, + "loss": 0.7845, + "step": 12660 + }, + { + "epoch": 1.01, + "learning_rate": 3.6943236573040314e-05, + "loss": 0.8596, + "step": 12670 + }, + { + "epoch": 1.01, + "learning_rate": 3.6928546245152195e-05, + "loss": 0.8028, + "step": 12680 + }, + { + "epoch": 1.01, + "learning_rate": 3.691385591726407e-05, + "loss": 0.8007, + "step": 12690 + }, + { + "epoch": 1.01, + "learning_rate": 3.689916558937596e-05, + "loss": 0.7881, + "step": 12700 + }, + { + "epoch": 1.01, + "learning_rate": 3.688447526148784e-05, + "loss": 0.7546, + "step": 12710 + }, + { + "epoch": 1.01, + "learning_rate": 3.686978493359972e-05, + "loss": 0.7546, + "step": 12720 + }, + { + "epoch": 1.01, + "learning_rate": 3.6855094605711596e-05, + "loss": 0.83, + "step": 12730 + }, + { + "epoch": 1.01, + "learning_rate": 3.6840404277823484e-05, + "loss": 0.8117, + "step": 12740 + }, + { + "epoch": 1.01, + "learning_rate": 3.6825713949935366e-05, + "loss": 0.7148, + "step": 12750 + }, + { + "epoch": 1.01, + "learning_rate": 3.681102362204725e-05, + "loss": 0.7356, + "step": 12760 + }, + { + "epoch": 1.01, + "learning_rate": 3.679633329415913e-05, + "loss": 0.7923, + "step": 12770 + }, + { + "epoch": 1.01, + "learning_rate": 3.678164296627101e-05, + "loss": 0.8358, + "step": 12780 + }, + { + "epoch": 1.01, + "learning_rate": 3.676695263838289e-05, + "loss": 0.8633, + "step": 12790 + }, + { + "epoch": 1.02, + "learning_rate": 3.6752262310494773e-05, + "loss": 0.7769, + "step": 12800 + }, + { + "epoch": 1.02, + "learning_rate": 3.6737571982606655e-05, + "loss": 0.7376, + "step": 12810 + }, + { + "epoch": 1.02, + "learning_rate": 3.672288165471853e-05, + "loss": 0.7999, + "step": 12820 + }, + { + "epoch": 1.02, + "learning_rate": 3.670819132683042e-05, + "loss": 0.7966, + "step": 12830 + }, + { + "epoch": 1.02, + "learning_rate": 3.66935009989423e-05, + "loss": 0.7778, + "step": 12840 + }, + { + "epoch": 1.02, + "learning_rate": 3.667881067105418e-05, + "loss": 0.7476, + "step": 12850 + }, + { + "epoch": 1.02, + "learning_rate": 3.6664120343166056e-05, + "loss": 0.7571, + "step": 12860 + }, + { + "epoch": 1.02, + "learning_rate": 3.6649430015277944e-05, + "loss": 0.8123, + "step": 12870 + }, + { + "epoch": 1.02, + "learning_rate": 3.6634739687389825e-05, + "loss": 0.7667, + "step": 12880 + }, + { + "epoch": 1.02, + "learning_rate": 3.662004935950171e-05, + "loss": 0.7721, + "step": 12890 + }, + { + "epoch": 1.02, + "learning_rate": 3.660535903161359e-05, + "loss": 0.819, + "step": 12900 + }, + { + "epoch": 1.02, + "learning_rate": 3.659066870372547e-05, + "loss": 0.7894, + "step": 12910 + }, + { + "epoch": 1.02, + "learning_rate": 3.657597837583735e-05, + "loss": 0.7804, + "step": 12920 + }, + { + "epoch": 1.03, + "learning_rate": 3.656128804794923e-05, + "loss": 0.7856, + "step": 12930 + }, + { + "epoch": 1.03, + "learning_rate": 3.6546597720061115e-05, + "loss": 0.7485, + "step": 12940 + }, + { + "epoch": 1.03, + "learning_rate": 3.653190739217299e-05, + "loss": 0.7958, + "step": 12950 + }, + { + "epoch": 1.03, + "learning_rate": 3.651721706428488e-05, + "loss": 0.8629, + "step": 12960 + }, + { + "epoch": 1.03, + "learning_rate": 3.650252673639676e-05, + "loss": 0.8674, + "step": 12970 + }, + { + "epoch": 1.03, + "learning_rate": 3.648783640850864e-05, + "loss": 0.8313, + "step": 12980 + }, + { + "epoch": 1.03, + "learning_rate": 3.647314608062052e-05, + "loss": 0.7516, + "step": 12990 + }, + { + "epoch": 1.03, + "learning_rate": 3.6458455752732404e-05, + "loss": 0.7847, + "step": 13000 + }, + { + "epoch": 1.03, + "learning_rate": 3.6443765424844285e-05, + "loss": 0.7597, + "step": 13010 + }, + { + "epoch": 1.03, + "learning_rate": 3.6429075096956167e-05, + "loss": 0.7538, + "step": 13020 + }, + { + "epoch": 1.03, + "learning_rate": 3.641438476906805e-05, + "loss": 0.8422, + "step": 13030 + }, + { + "epoch": 1.03, + "learning_rate": 3.639969444117993e-05, + "loss": 0.8162, + "step": 13040 + }, + { + "epoch": 1.04, + "learning_rate": 3.638500411329181e-05, + "loss": 0.7517, + "step": 13050 + }, + { + "epoch": 1.04, + "learning_rate": 3.637031378540369e-05, + "loss": 0.7413, + "step": 13060 + }, + { + "epoch": 1.04, + "learning_rate": 3.6355623457515574e-05, + "loss": 0.8089, + "step": 13070 + }, + { + "epoch": 1.04, + "learning_rate": 3.6340933129627456e-05, + "loss": 0.7642, + "step": 13080 + }, + { + "epoch": 1.04, + "learning_rate": 3.632624280173934e-05, + "loss": 0.7959, + "step": 13090 + }, + { + "epoch": 1.04, + "learning_rate": 3.631155247385122e-05, + "loss": 0.8499, + "step": 13100 + }, + { + "epoch": 1.04, + "learning_rate": 3.62968621459631e-05, + "loss": 0.7975, + "step": 13110 + }, + { + "epoch": 1.04, + "learning_rate": 3.628217181807498e-05, + "loss": 0.782, + "step": 13120 + }, + { + "epoch": 1.04, + "learning_rate": 3.626748149018686e-05, + "loss": 0.8235, + "step": 13130 + }, + { + "epoch": 1.04, + "learning_rate": 3.6252791162298745e-05, + "loss": 0.7995, + "step": 13140 + }, + { + "epoch": 1.04, + "learning_rate": 3.6238100834410626e-05, + "loss": 0.788, + "step": 13150 + }, + { + "epoch": 1.04, + "learning_rate": 3.622341050652251e-05, + "loss": 0.7705, + "step": 13160 + }, + { + "epoch": 1.04, + "learning_rate": 3.620872017863439e-05, + "loss": 0.7816, + "step": 13170 + }, + { + "epoch": 1.05, + "learning_rate": 3.619402985074627e-05, + "loss": 0.8112, + "step": 13180 + }, + { + "epoch": 1.05, + "learning_rate": 3.617933952285815e-05, + "loss": 0.776, + "step": 13190 + }, + { + "epoch": 1.05, + "learning_rate": 3.6164649194970034e-05, + "loss": 0.8111, + "step": 13200 + }, + { + "epoch": 1.05, + "learning_rate": 3.6149958867081915e-05, + "loss": 0.7632, + "step": 13210 + }, + { + "epoch": 1.05, + "learning_rate": 3.61352685391938e-05, + "loss": 0.8396, + "step": 13220 + }, + { + "epoch": 1.05, + "learning_rate": 3.612057821130568e-05, + "loss": 0.7672, + "step": 13230 + }, + { + "epoch": 1.05, + "learning_rate": 3.610588788341756e-05, + "loss": 0.7819, + "step": 13240 + }, + { + "epoch": 1.05, + "learning_rate": 3.609119755552944e-05, + "loss": 0.7885, + "step": 13250 + }, + { + "epoch": 1.05, + "learning_rate": 3.607650722764132e-05, + "loss": 0.799, + "step": 13260 + }, + { + "epoch": 1.05, + "learning_rate": 3.6061816899753204e-05, + "loss": 0.8394, + "step": 13270 + }, + { + "epoch": 1.05, + "learning_rate": 3.6047126571865086e-05, + "loss": 0.8041, + "step": 13280 + }, + { + "epoch": 1.05, + "learning_rate": 3.603243624397697e-05, + "loss": 0.7693, + "step": 13290 + }, + { + "epoch": 1.06, + "learning_rate": 3.601774591608885e-05, + "loss": 0.8347, + "step": 13300 + }, + { + "epoch": 1.06, + "learning_rate": 3.600305558820073e-05, + "loss": 0.6997, + "step": 13310 + }, + { + "epoch": 1.06, + "learning_rate": 3.598836526031261e-05, + "loss": 0.7598, + "step": 13320 + }, + { + "epoch": 1.06, + "learning_rate": 3.597367493242449e-05, + "loss": 0.8301, + "step": 13330 + }, + { + "epoch": 1.06, + "learning_rate": 3.5958984604536375e-05, + "loss": 0.7611, + "step": 13340 + }, + { + "epoch": 1.06, + "learning_rate": 3.5944294276648256e-05, + "loss": 0.773, + "step": 13350 + }, + { + "epoch": 1.06, + "learning_rate": 3.592960394876014e-05, + "loss": 0.7519, + "step": 13360 + }, + { + "epoch": 1.06, + "learning_rate": 3.591491362087202e-05, + "loss": 0.76, + "step": 13370 + }, + { + "epoch": 1.06, + "learning_rate": 3.59002232929839e-05, + "loss": 0.7787, + "step": 13380 + }, + { + "epoch": 1.06, + "learning_rate": 3.588553296509578e-05, + "loss": 0.7994, + "step": 13390 + }, + { + "epoch": 1.06, + "learning_rate": 3.5870842637207664e-05, + "loss": 0.7624, + "step": 13400 + }, + { + "epoch": 1.06, + "learning_rate": 3.5856152309319545e-05, + "loss": 0.8144, + "step": 13410 + }, + { + "epoch": 1.06, + "learning_rate": 3.584146198143143e-05, + "loss": 0.7929, + "step": 13420 + }, + { + "epoch": 1.07, + "learning_rate": 3.582677165354331e-05, + "loss": 0.75, + "step": 13430 + }, + { + "epoch": 1.07, + "learning_rate": 3.581208132565519e-05, + "loss": 0.8071, + "step": 13440 + }, + { + "epoch": 1.07, + "learning_rate": 3.579739099776707e-05, + "loss": 0.8175, + "step": 13450 + }, + { + "epoch": 1.07, + "learning_rate": 3.578270066987895e-05, + "loss": 0.7457, + "step": 13460 + }, + { + "epoch": 1.07, + "learning_rate": 3.5768010341990834e-05, + "loss": 0.7808, + "step": 13470 + }, + { + "epoch": 1.07, + "learning_rate": 3.5753320014102716e-05, + "loss": 0.7811, + "step": 13480 + }, + { + "epoch": 1.07, + "learning_rate": 3.57386296862146e-05, + "loss": 0.7732, + "step": 13490 + }, + { + "epoch": 1.07, + "learning_rate": 3.572393935832648e-05, + "loss": 0.8023, + "step": 13500 + }, + { + "epoch": 1.07, + "learning_rate": 3.570924903043836e-05, + "loss": 0.8529, + "step": 13510 + }, + { + "epoch": 1.07, + "learning_rate": 3.569455870255024e-05, + "loss": 0.8067, + "step": 13520 + }, + { + "epoch": 1.07, + "learning_rate": 3.567986837466212e-05, + "loss": 0.819, + "step": 13530 + }, + { + "epoch": 1.07, + "learning_rate": 3.5665178046774005e-05, + "loss": 0.8085, + "step": 13540 + }, + { + "epoch": 1.07, + "learning_rate": 3.5650487718885886e-05, + "loss": 0.762, + "step": 13550 + }, + { + "epoch": 1.08, + "learning_rate": 3.563579739099777e-05, + "loss": 0.8407, + "step": 13560 + }, + { + "epoch": 1.08, + "learning_rate": 3.562110706310965e-05, + "loss": 0.8204, + "step": 13570 + }, + { + "epoch": 1.08, + "learning_rate": 3.560641673522153e-05, + "loss": 0.7785, + "step": 13580 + }, + { + "epoch": 1.08, + "learning_rate": 3.559172640733341e-05, + "loss": 0.7692, + "step": 13590 + }, + { + "epoch": 1.08, + "learning_rate": 3.55770360794453e-05, + "loss": 0.8535, + "step": 13600 + }, + { + "epoch": 1.08, + "learning_rate": 3.5562345751557175e-05, + "loss": 0.7856, + "step": 13610 + }, + { + "epoch": 1.08, + "learning_rate": 3.554765542366906e-05, + "loss": 0.7499, + "step": 13620 + }, + { + "epoch": 1.08, + "learning_rate": 3.553296509578094e-05, + "loss": 0.799, + "step": 13630 + }, + { + "epoch": 1.08, + "learning_rate": 3.551827476789282e-05, + "loss": 0.8215, + "step": 13640 + }, + { + "epoch": 1.08, + "learning_rate": 3.55035844400047e-05, + "loss": 0.7921, + "step": 13650 + }, + { + "epoch": 1.08, + "learning_rate": 3.548889411211658e-05, + "loss": 0.787, + "step": 13660 + }, + { + "epoch": 1.08, + "learning_rate": 3.5474203784228464e-05, + "loss": 0.7472, + "step": 13670 + }, + { + "epoch": 1.09, + "learning_rate": 3.5459513456340346e-05, + "loss": 0.8201, + "step": 13680 + }, + { + "epoch": 1.09, + "learning_rate": 3.5444823128452234e-05, + "loss": 0.7454, + "step": 13690 + }, + { + "epoch": 1.09, + "learning_rate": 3.543013280056411e-05, + "loss": 0.7435, + "step": 13700 + }, + { + "epoch": 1.09, + "learning_rate": 3.541544247267599e-05, + "loss": 0.7876, + "step": 13710 + }, + { + "epoch": 1.09, + "learning_rate": 3.540075214478787e-05, + "loss": 0.7836, + "step": 13720 + }, + { + "epoch": 1.09, + "learning_rate": 3.538606181689976e-05, + "loss": 0.772, + "step": 13730 + }, + { + "epoch": 1.09, + "learning_rate": 3.5371371489011635e-05, + "loss": 0.7928, + "step": 13740 + }, + { + "epoch": 1.09, + "learning_rate": 3.5356681161123516e-05, + "loss": 0.8099, + "step": 13750 + }, + { + "epoch": 1.09, + "learning_rate": 3.53419908332354e-05, + "loss": 0.8431, + "step": 13760 + }, + { + "epoch": 1.09, + "learning_rate": 3.532730050534728e-05, + "loss": 0.7482, + "step": 13770 + }, + { + "epoch": 1.09, + "learning_rate": 3.531261017745916e-05, + "loss": 0.8157, + "step": 13780 + }, + { + "epoch": 1.09, + "learning_rate": 3.529791984957104e-05, + "loss": 0.7578, + "step": 13790 + }, + { + "epoch": 1.09, + "learning_rate": 3.5283229521682924e-05, + "loss": 0.7637, + "step": 13800 + }, + { + "epoch": 1.1, + "learning_rate": 3.5268539193794805e-05, + "loss": 0.7676, + "step": 13810 + }, + { + "epoch": 1.1, + "learning_rate": 3.5253848865906694e-05, + "loss": 0.8261, + "step": 13820 + }, + { + "epoch": 1.1, + "learning_rate": 3.523915853801857e-05, + "loss": 0.8196, + "step": 13830 + }, + { + "epoch": 1.1, + "learning_rate": 3.522446821013045e-05, + "loss": 0.7888, + "step": 13840 + }, + { + "epoch": 1.1, + "learning_rate": 3.520977788224233e-05, + "loss": 0.8194, + "step": 13850 + }, + { + "epoch": 1.1, + "learning_rate": 3.519508755435422e-05, + "loss": 0.8101, + "step": 13860 + }, + { + "epoch": 1.1, + "learning_rate": 3.5180397226466094e-05, + "loss": 0.8086, + "step": 13870 + }, + { + "epoch": 1.1, + "learning_rate": 3.5165706898577976e-05, + "loss": 0.7961, + "step": 13880 + }, + { + "epoch": 1.1, + "learning_rate": 3.515101657068986e-05, + "loss": 0.8025, + "step": 13890 + }, + { + "epoch": 1.1, + "learning_rate": 3.5136326242801746e-05, + "loss": 0.7914, + "step": 13900 + }, + { + "epoch": 1.1, + "learning_rate": 3.512163591491362e-05, + "loss": 0.8003, + "step": 13910 + }, + { + "epoch": 1.1, + "learning_rate": 3.51069455870255e-05, + "loss": 0.759, + "step": 13920 + }, + { + "epoch": 1.11, + "learning_rate": 3.5092255259137384e-05, + "loss": 0.8468, + "step": 13930 + }, + { + "epoch": 1.11, + "learning_rate": 3.5077564931249265e-05, + "loss": 0.7909, + "step": 13940 + }, + { + "epoch": 1.11, + "learning_rate": 3.506287460336115e-05, + "loss": 0.7592, + "step": 13950 + }, + { + "epoch": 1.11, + "learning_rate": 3.504818427547303e-05, + "loss": 0.759, + "step": 13960 + }, + { + "epoch": 1.11, + "learning_rate": 3.503349394758491e-05, + "loss": 0.7957, + "step": 13970 + }, + { + "epoch": 1.11, + "learning_rate": 3.501880361969679e-05, + "loss": 0.7596, + "step": 13980 + }, + { + "epoch": 1.11, + "learning_rate": 3.500411329180868e-05, + "loss": 0.8093, + "step": 13990 + }, + { + "epoch": 1.11, + "learning_rate": 3.4989422963920554e-05, + "loss": 0.7976, + "step": 14000 + }, + { + "epoch": 1.11, + "learning_rate": 3.4974732636032436e-05, + "loss": 0.7968, + "step": 14010 + }, + { + "epoch": 1.11, + "learning_rate": 3.496004230814432e-05, + "loss": 0.792, + "step": 14020 + }, + { + "epoch": 1.11, + "learning_rate": 3.4945351980256205e-05, + "loss": 0.7553, + "step": 14030 + }, + { + "epoch": 1.11, + "learning_rate": 3.493066165236809e-05, + "loss": 0.8211, + "step": 14040 + }, + { + "epoch": 1.11, + "learning_rate": 3.491597132447996e-05, + "loss": 0.8004, + "step": 14050 + }, + { + "epoch": 1.12, + "learning_rate": 3.490128099659184e-05, + "loss": 0.7964, + "step": 14060 + }, + { + "epoch": 1.12, + "learning_rate": 3.488659066870373e-05, + "loss": 0.8077, + "step": 14070 + }, + { + "epoch": 1.12, + "learning_rate": 3.487190034081561e-05, + "loss": 0.7875, + "step": 14080 + }, + { + "epoch": 1.12, + "learning_rate": 3.485721001292749e-05, + "loss": 0.7985, + "step": 14090 + }, + { + "epoch": 1.12, + "learning_rate": 3.484251968503937e-05, + "loss": 0.801, + "step": 14100 + }, + { + "epoch": 1.12, + "learning_rate": 3.482782935715125e-05, + "loss": 0.751, + "step": 14110 + }, + { + "epoch": 1.12, + "learning_rate": 3.481313902926314e-05, + "loss": 0.7704, + "step": 14120 + }, + { + "epoch": 1.12, + "learning_rate": 3.4798448701375014e-05, + "loss": 0.8156, + "step": 14130 + }, + { + "epoch": 1.12, + "learning_rate": 3.4783758373486895e-05, + "loss": 0.7657, + "step": 14140 + }, + { + "epoch": 1.12, + "learning_rate": 3.476906804559878e-05, + "loss": 0.8065, + "step": 14150 + }, + { + "epoch": 1.12, + "learning_rate": 3.4754377717710665e-05, + "loss": 0.7661, + "step": 14160 + }, + { + "epoch": 1.12, + "learning_rate": 3.4739687389822546e-05, + "loss": 0.8392, + "step": 14170 + }, + { + "epoch": 1.12, + "learning_rate": 3.472499706193442e-05, + "loss": 0.8343, + "step": 14180 + }, + { + "epoch": 1.13, + "learning_rate": 3.47103067340463e-05, + "loss": 0.8342, + "step": 14190 + }, + { + "epoch": 1.13, + "learning_rate": 3.469561640615819e-05, + "loss": 0.8214, + "step": 14200 + }, + { + "epoch": 1.13, + "learning_rate": 3.468092607827007e-05, + "loss": 0.8165, + "step": 14210 + }, + { + "epoch": 1.13, + "learning_rate": 3.466623575038195e-05, + "loss": 0.7446, + "step": 14220 + }, + { + "epoch": 1.13, + "learning_rate": 3.465154542249383e-05, + "loss": 0.8131, + "step": 14230 + }, + { + "epoch": 1.13, + "learning_rate": 3.463685509460571e-05, + "loss": 0.7777, + "step": 14240 + }, + { + "epoch": 1.13, + "learning_rate": 3.46221647667176e-05, + "loss": 0.8249, + "step": 14250 + }, + { + "epoch": 1.13, + "learning_rate": 3.460747443882947e-05, + "loss": 0.8022, + "step": 14260 + }, + { + "epoch": 1.13, + "learning_rate": 3.4592784110941355e-05, + "loss": 0.7485, + "step": 14270 + }, + { + "epoch": 1.13, + "learning_rate": 3.4578093783053236e-05, + "loss": 0.7813, + "step": 14280 + }, + { + "epoch": 1.13, + "learning_rate": 3.4563403455165124e-05, + "loss": 0.7611, + "step": 14290 + }, + { + "epoch": 1.13, + "learning_rate": 3.4548713127277006e-05, + "loss": 0.7662, + "step": 14300 + }, + { + "epoch": 1.14, + "learning_rate": 3.453402279938888e-05, + "loss": 0.7297, + "step": 14310 + }, + { + "epoch": 1.14, + "learning_rate": 3.451933247150076e-05, + "loss": 0.7848, + "step": 14320 + }, + { + "epoch": 1.14, + "learning_rate": 3.450464214361265e-05, + "loss": 0.7634, + "step": 14330 + }, + { + "epoch": 1.14, + "learning_rate": 3.448995181572453e-05, + "loss": 0.8049, + "step": 14340 + }, + { + "epoch": 1.14, + "learning_rate": 3.447526148783641e-05, + "loss": 0.8545, + "step": 14350 + }, + { + "epoch": 1.14, + "learning_rate": 3.446057115994829e-05, + "loss": 0.7939, + "step": 14360 + }, + { + "epoch": 1.14, + "learning_rate": 3.4445880832060177e-05, + "loss": 0.7736, + "step": 14370 + }, + { + "epoch": 1.14, + "learning_rate": 3.443119050417206e-05, + "loss": 0.7202, + "step": 14380 + }, + { + "epoch": 1.14, + "learning_rate": 3.441650017628394e-05, + "loss": 0.7817, + "step": 14390 + }, + { + "epoch": 1.14, + "learning_rate": 3.4401809848395814e-05, + "loss": 0.7508, + "step": 14400 + }, + { + "epoch": 1.14, + "learning_rate": 3.4387119520507696e-05, + "loss": 0.7758, + "step": 14410 + }, + { + "epoch": 1.14, + "learning_rate": 3.4372429192619584e-05, + "loss": 0.82, + "step": 14420 + }, + { + "epoch": 1.14, + "learning_rate": 3.4357738864731466e-05, + "loss": 0.7932, + "step": 14430 + }, + { + "epoch": 1.15, + "learning_rate": 3.434304853684334e-05, + "loss": 0.791, + "step": 14440 + }, + { + "epoch": 1.15, + "learning_rate": 3.432835820895522e-05, + "loss": 0.7964, + "step": 14450 + }, + { + "epoch": 1.15, + "learning_rate": 3.431366788106711e-05, + "loss": 0.7915, + "step": 14460 + }, + { + "epoch": 1.15, + "learning_rate": 3.429897755317899e-05, + "loss": 0.7984, + "step": 14470 + }, + { + "epoch": 1.15, + "learning_rate": 3.4284287225290866e-05, + "loss": 0.7986, + "step": 14480 + }, + { + "epoch": 1.15, + "learning_rate": 3.426959689740275e-05, + "loss": 0.7529, + "step": 14490 + }, + { + "epoch": 1.15, + "learning_rate": 3.4254906569514636e-05, + "loss": 0.827, + "step": 14500 + }, + { + "epoch": 1.15, + "learning_rate": 3.424021624162652e-05, + "loss": 0.7992, + "step": 14510 + }, + { + "epoch": 1.15, + "learning_rate": 3.42255259137384e-05, + "loss": 0.7921, + "step": 14520 + }, + { + "epoch": 1.15, + "learning_rate": 3.4210835585850274e-05, + "loss": 0.7957, + "step": 14530 + }, + { + "epoch": 1.15, + "learning_rate": 3.419614525796216e-05, + "loss": 0.7542, + "step": 14540 + }, + { + "epoch": 1.15, + "learning_rate": 3.4181454930074044e-05, + "loss": 0.7681, + "step": 14550 + }, + { + "epoch": 1.15, + "learning_rate": 3.4166764602185925e-05, + "loss": 0.7535, + "step": 14560 + }, + { + "epoch": 1.16, + "learning_rate": 3.41520742742978e-05, + "loss": 0.8259, + "step": 14570 + }, + { + "epoch": 1.16, + "learning_rate": 3.413738394640968e-05, + "loss": 0.7946, + "step": 14580 + }, + { + "epoch": 1.16, + "learning_rate": 3.412269361852157e-05, + "loss": 0.7481, + "step": 14590 + }, + { + "epoch": 1.16, + "learning_rate": 3.410800329063345e-05, + "loss": 0.7595, + "step": 14600 + }, + { + "epoch": 1.16, + "learning_rate": 3.4093312962745326e-05, + "loss": 0.7952, + "step": 14610 + }, + { + "epoch": 1.16, + "learning_rate": 3.407862263485721e-05, + "loss": 0.8109, + "step": 14620 + }, + { + "epoch": 1.16, + "learning_rate": 3.4063932306969096e-05, + "loss": 0.7911, + "step": 14630 + }, + { + "epoch": 1.16, + "learning_rate": 3.404924197908098e-05, + "loss": 0.7977, + "step": 14640 + }, + { + "epoch": 1.16, + "learning_rate": 3.403455165119286e-05, + "loss": 0.8181, + "step": 14650 + }, + { + "epoch": 1.16, + "learning_rate": 3.4019861323304733e-05, + "loss": 0.7834, + "step": 14660 + }, + { + "epoch": 1.16, + "learning_rate": 3.400517099541662e-05, + "loss": 0.8162, + "step": 14670 + }, + { + "epoch": 1.16, + "learning_rate": 3.39904806675285e-05, + "loss": 0.8195, + "step": 14680 + }, + { + "epoch": 1.17, + "learning_rate": 3.3975790339640385e-05, + "loss": 0.7814, + "step": 14690 + }, + { + "epoch": 1.17, + "learning_rate": 3.396110001175226e-05, + "loss": 0.7669, + "step": 14700 + }, + { + "epoch": 1.17, + "learning_rate": 3.394640968386415e-05, + "loss": 0.7855, + "step": 14710 + }, + { + "epoch": 1.17, + "learning_rate": 3.393171935597603e-05, + "loss": 0.8002, + "step": 14720 + }, + { + "epoch": 1.17, + "learning_rate": 3.391702902808791e-05, + "loss": 0.7828, + "step": 14730 + }, + { + "epoch": 1.17, + "learning_rate": 3.390233870019979e-05, + "loss": 0.7498, + "step": 14740 + }, + { + "epoch": 1.17, + "learning_rate": 3.388764837231167e-05, + "loss": 0.8235, + "step": 14750 + }, + { + "epoch": 1.17, + "learning_rate": 3.3872958044423555e-05, + "loss": 0.7993, + "step": 14760 + }, + { + "epoch": 1.17, + "learning_rate": 3.385826771653544e-05, + "loss": 0.7636, + "step": 14770 + }, + { + "epoch": 1.17, + "learning_rate": 3.384357738864732e-05, + "loss": 0.7762, + "step": 14780 + }, + { + "epoch": 1.17, + "learning_rate": 3.382888706075919e-05, + "loss": 0.8223, + "step": 14790 + }, + { + "epoch": 1.17, + "learning_rate": 3.381419673287108e-05, + "loss": 0.8192, + "step": 14800 + }, + { + "epoch": 1.17, + "learning_rate": 3.379950640498296e-05, + "loss": 0.7805, + "step": 14810 + }, + { + "epoch": 1.18, + "learning_rate": 3.3784816077094844e-05, + "loss": 0.7895, + "step": 14820 + }, + { + "epoch": 1.18, + "learning_rate": 3.377012574920672e-05, + "loss": 0.7997, + "step": 14830 + }, + { + "epoch": 1.18, + "learning_rate": 3.375543542131861e-05, + "loss": 0.7398, + "step": 14840 + }, + { + "epoch": 1.18, + "learning_rate": 3.374074509343049e-05, + "loss": 0.7877, + "step": 14850 + }, + { + "epoch": 1.18, + "learning_rate": 3.372605476554237e-05, + "loss": 0.7355, + "step": 14860 + }, + { + "epoch": 1.18, + "learning_rate": 3.371136443765425e-05, + "loss": 0.7411, + "step": 14870 + }, + { + "epoch": 1.18, + "learning_rate": 3.3696674109766127e-05, + "loss": 0.7981, + "step": 14880 + }, + { + "epoch": 1.18, + "learning_rate": 3.3681983781878015e-05, + "loss": 0.874, + "step": 14890 + }, + { + "epoch": 1.18, + "learning_rate": 3.3667293453989896e-05, + "loss": 0.7455, + "step": 14900 + }, + { + "epoch": 1.18, + "learning_rate": 3.365260312610178e-05, + "loss": 0.7971, + "step": 14910 + }, + { + "epoch": 1.18, + "learning_rate": 3.363791279821365e-05, + "loss": 0.7776, + "step": 14920 + }, + { + "epoch": 1.18, + "learning_rate": 3.362322247032554e-05, + "loss": 0.7521, + "step": 14930 + }, + { + "epoch": 1.19, + "learning_rate": 3.360853214243742e-05, + "loss": 0.7874, + "step": 14940 + }, + { + "epoch": 1.19, + "learning_rate": 3.3593841814549304e-05, + "loss": 0.821, + "step": 14950 + }, + { + "epoch": 1.19, + "learning_rate": 3.357915148666118e-05, + "loss": 0.7579, + "step": 14960 + }, + { + "epoch": 1.19, + "learning_rate": 3.356446115877307e-05, + "loss": 0.8291, + "step": 14970 + }, + { + "epoch": 1.19, + "learning_rate": 3.354977083088495e-05, + "loss": 0.7531, + "step": 14980 + }, + { + "epoch": 1.19, + "learning_rate": 3.353508050299683e-05, + "loss": 0.7855, + "step": 14990 + }, + { + "epoch": 1.19, + "learning_rate": 3.352039017510871e-05, + "loss": 0.805, + "step": 15000 + }, + { + "epoch": 1.19, + "learning_rate": 3.350569984722059e-05, + "loss": 0.7859, + "step": 15010 + }, + { + "epoch": 1.19, + "learning_rate": 3.3491009519332474e-05, + "loss": 0.8134, + "step": 15020 + }, + { + "epoch": 1.19, + "learning_rate": 3.3476319191444356e-05, + "loss": 0.7419, + "step": 15030 + }, + { + "epoch": 1.19, + "learning_rate": 3.346162886355624e-05, + "loss": 0.7843, + "step": 15040 + }, + { + "epoch": 1.19, + "learning_rate": 3.344693853566811e-05, + "loss": 0.7773, + "step": 15050 + }, + { + "epoch": 1.19, + "learning_rate": 3.343224820778e-05, + "loss": 0.8025, + "step": 15060 + }, + { + "epoch": 1.2, + "learning_rate": 3.341755787989188e-05, + "loss": 0.7496, + "step": 15070 + }, + { + "epoch": 1.2, + "learning_rate": 3.340286755200376e-05, + "loss": 0.8022, + "step": 15080 + }, + { + "epoch": 1.2, + "learning_rate": 3.3388177224115645e-05, + "loss": 0.8039, + "step": 15090 + }, + { + "epoch": 1.2, + "learning_rate": 3.3373486896227526e-05, + "loss": 0.7441, + "step": 15100 + }, + { + "epoch": 1.2, + "learning_rate": 3.335879656833941e-05, + "loss": 0.7805, + "step": 15110 + }, + { + "epoch": 1.2, + "learning_rate": 3.334410624045129e-05, + "loss": 0.7429, + "step": 15120 + }, + { + "epoch": 1.2, + "learning_rate": 3.332941591256317e-05, + "loss": 0.8038, + "step": 15130 + }, + { + "epoch": 1.2, + "learning_rate": 3.331472558467505e-05, + "loss": 0.7221, + "step": 15140 + }, + { + "epoch": 1.2, + "learning_rate": 3.3300035256786934e-05, + "loss": 0.7883, + "step": 15150 + }, + { + "epoch": 1.2, + "learning_rate": 3.3285344928898815e-05, + "loss": 0.7668, + "step": 15160 + }, + { + "epoch": 1.2, + "learning_rate": 3.32706546010107e-05, + "loss": 0.7807, + "step": 15170 + }, + { + "epoch": 1.2, + "learning_rate": 3.325596427312258e-05, + "loss": 0.7461, + "step": 15180 + }, + { + "epoch": 1.2, + "learning_rate": 3.324127394523446e-05, + "loss": 0.8001, + "step": 15190 + }, + { + "epoch": 1.21, + "learning_rate": 3.322658361734634e-05, + "loss": 0.696, + "step": 15200 + }, + { + "epoch": 1.21, + "learning_rate": 3.321189328945822e-05, + "loss": 0.7795, + "step": 15210 + }, + { + "epoch": 1.21, + "learning_rate": 3.3197202961570104e-05, + "loss": 0.819, + "step": 15220 + }, + { + "epoch": 1.21, + "learning_rate": 3.3182512633681986e-05, + "loss": 0.7546, + "step": 15230 + }, + { + "epoch": 1.21, + "learning_rate": 3.316782230579387e-05, + "loss": 0.7656, + "step": 15240 + }, + { + "epoch": 1.21, + "learning_rate": 3.315313197790575e-05, + "loss": 0.7336, + "step": 15250 + }, + { + "epoch": 1.21, + "learning_rate": 3.313844165001763e-05, + "loss": 0.7933, + "step": 15260 + }, + { + "epoch": 1.21, + "learning_rate": 3.312375132212951e-05, + "loss": 0.8064, + "step": 15270 + }, + { + "epoch": 1.21, + "learning_rate": 3.3109060994241393e-05, + "loss": 0.7418, + "step": 15280 + }, + { + "epoch": 1.21, + "learning_rate": 3.3094370666353275e-05, + "loss": 0.7692, + "step": 15290 + }, + { + "epoch": 1.21, + "learning_rate": 3.3079680338465156e-05, + "loss": 0.7916, + "step": 15300 + }, + { + "epoch": 1.21, + "learning_rate": 3.306499001057704e-05, + "loss": 0.7864, + "step": 15310 + }, + { + "epoch": 1.22, + "learning_rate": 3.305029968268892e-05, + "loss": 0.8059, + "step": 15320 + }, + { + "epoch": 1.22, + "learning_rate": 3.30356093548008e-05, + "loss": 0.783, + "step": 15330 + }, + { + "epoch": 1.22, + "learning_rate": 3.302091902691268e-05, + "loss": 0.832, + "step": 15340 + }, + { + "epoch": 1.22, + "learning_rate": 3.3006228699024564e-05, + "loss": 0.7731, + "step": 15350 + }, + { + "epoch": 1.22, + "learning_rate": 3.2991538371136446e-05, + "loss": 0.8042, + "step": 15360 + }, + { + "epoch": 1.22, + "learning_rate": 3.297684804324833e-05, + "loss": 0.7916, + "step": 15370 + }, + { + "epoch": 1.22, + "learning_rate": 3.296215771536021e-05, + "loss": 0.7935, + "step": 15380 + }, + { + "epoch": 1.22, + "learning_rate": 3.294746738747209e-05, + "loss": 0.8027, + "step": 15390 + }, + { + "epoch": 1.22, + "learning_rate": 3.293277705958397e-05, + "loss": 0.7603, + "step": 15400 + }, + { + "epoch": 1.22, + "learning_rate": 3.291808673169585e-05, + "loss": 0.7586, + "step": 15410 + }, + { + "epoch": 1.22, + "learning_rate": 3.2903396403807735e-05, + "loss": 0.8139, + "step": 15420 + }, + { + "epoch": 1.22, + "learning_rate": 3.2888706075919616e-05, + "loss": 0.7953, + "step": 15430 + }, + { + "epoch": 1.22, + "learning_rate": 3.28740157480315e-05, + "loss": 0.763, + "step": 15440 + }, + { + "epoch": 1.23, + "learning_rate": 3.285932542014338e-05, + "loss": 0.7922, + "step": 15450 + }, + { + "epoch": 1.23, + "learning_rate": 3.284463509225526e-05, + "loss": 0.7384, + "step": 15460 + }, + { + "epoch": 1.23, + "learning_rate": 3.282994476436714e-05, + "loss": 0.7568, + "step": 15470 + }, + { + "epoch": 1.23, + "learning_rate": 3.2815254436479024e-05, + "loss": 0.7261, + "step": 15480 + }, + { + "epoch": 1.23, + "learning_rate": 3.2800564108590905e-05, + "loss": 0.7602, + "step": 15490 + }, + { + "epoch": 1.23, + "learning_rate": 3.2785873780702787e-05, + "loss": 0.7976, + "step": 15500 + }, + { + "epoch": 1.23, + "learning_rate": 3.277118345281467e-05, + "loss": 0.8046, + "step": 15510 + }, + { + "epoch": 1.23, + "learning_rate": 3.275649312492655e-05, + "loss": 0.8282, + "step": 15520 + }, + { + "epoch": 1.23, + "learning_rate": 3.274180279703843e-05, + "loss": 0.7825, + "step": 15530 + }, + { + "epoch": 1.23, + "learning_rate": 3.272711246915031e-05, + "loss": 0.7287, + "step": 15540 + }, + { + "epoch": 1.23, + "learning_rate": 3.2712422141262194e-05, + "loss": 0.7711, + "step": 15550 + }, + { + "epoch": 1.23, + "learning_rate": 3.2697731813374076e-05, + "loss": 0.7563, + "step": 15560 + }, + { + "epoch": 1.24, + "learning_rate": 3.268304148548596e-05, + "loss": 0.7618, + "step": 15570 + }, + { + "epoch": 1.24, + "learning_rate": 3.266835115759784e-05, + "loss": 0.7971, + "step": 15580 + }, + { + "epoch": 1.24, + "learning_rate": 3.265366082970972e-05, + "loss": 0.7441, + "step": 15590 + }, + { + "epoch": 1.24, + "learning_rate": 3.26389705018216e-05, + "loss": 0.8184, + "step": 15600 + }, + { + "epoch": 1.24, + "learning_rate": 3.262428017393348e-05, + "loss": 0.763, + "step": 15610 + }, + { + "epoch": 1.24, + "learning_rate": 3.2609589846045365e-05, + "loss": 0.8109, + "step": 15620 + }, + { + "epoch": 1.24, + "learning_rate": 3.2594899518157246e-05, + "loss": 0.7928, + "step": 15630 + }, + { + "epoch": 1.24, + "learning_rate": 3.258020919026913e-05, + "loss": 0.7618, + "step": 15640 + }, + { + "epoch": 1.24, + "learning_rate": 3.256551886238101e-05, + "loss": 0.73, + "step": 15650 + }, + { + "epoch": 1.24, + "learning_rate": 3.255082853449289e-05, + "loss": 0.7817, + "step": 15660 + }, + { + "epoch": 1.24, + "learning_rate": 3.253613820660477e-05, + "loss": 0.8167, + "step": 15670 + }, + { + "epoch": 1.24, + "learning_rate": 3.2521447878716654e-05, + "loss": 0.7449, + "step": 15680 + }, + { + "epoch": 1.24, + "learning_rate": 3.2506757550828535e-05, + "loss": 0.8041, + "step": 15690 + }, + { + "epoch": 1.25, + "learning_rate": 3.249206722294042e-05, + "loss": 0.7851, + "step": 15700 + }, + { + "epoch": 1.25, + "learning_rate": 3.24773768950523e-05, + "loss": 0.7868, + "step": 15710 + }, + { + "epoch": 1.25, + "learning_rate": 3.246268656716418e-05, + "loss": 0.7751, + "step": 15720 + }, + { + "epoch": 1.25, + "learning_rate": 3.244799623927606e-05, + "loss": 0.8006, + "step": 15730 + }, + { + "epoch": 1.25, + "learning_rate": 3.243330591138794e-05, + "loss": 0.7635, + "step": 15740 + }, + { + "epoch": 1.25, + "learning_rate": 3.2418615583499824e-05, + "loss": 0.7795, + "step": 15750 + }, + { + "epoch": 1.25, + "learning_rate": 3.2403925255611706e-05, + "loss": 0.6922, + "step": 15760 + }, + { + "epoch": 1.25, + "learning_rate": 3.238923492772359e-05, + "loss": 0.77, + "step": 15770 + }, + { + "epoch": 1.25, + "learning_rate": 3.237454459983547e-05, + "loss": 0.7448, + "step": 15780 + }, + { + "epoch": 1.25, + "learning_rate": 3.235985427194736e-05, + "loss": 0.722, + "step": 15790 + }, + { + "epoch": 1.25, + "learning_rate": 3.234516394405923e-05, + "loss": 0.7027, + "step": 15800 + }, + { + "epoch": 1.25, + "learning_rate": 3.233047361617111e-05, + "loss": 0.7702, + "step": 15810 + }, + { + "epoch": 1.25, + "learning_rate": 3.2315783288282995e-05, + "loss": 0.7975, + "step": 15820 + }, + { + "epoch": 1.26, + "learning_rate": 3.230109296039488e-05, + "loss": 0.8216, + "step": 15830 + }, + { + "epoch": 1.26, + "learning_rate": 3.228640263250676e-05, + "loss": 0.814, + "step": 15840 + }, + { + "epoch": 1.26, + "learning_rate": 3.227171230461864e-05, + "loss": 0.7982, + "step": 15850 + }, + { + "epoch": 1.26, + "learning_rate": 3.225702197673052e-05, + "loss": 0.7402, + "step": 15860 + }, + { + "epoch": 1.26, + "learning_rate": 3.22423316488424e-05, + "loss": 0.7168, + "step": 15870 + }, + { + "epoch": 1.26, + "learning_rate": 3.2227641320954284e-05, + "loss": 0.7907, + "step": 15880 + }, + { + "epoch": 1.26, + "learning_rate": 3.2212950993066165e-05, + "loss": 0.8127, + "step": 15890 + }, + { + "epoch": 1.26, + "learning_rate": 3.219826066517805e-05, + "loss": 0.7795, + "step": 15900 + }, + { + "epoch": 1.26, + "learning_rate": 3.218357033728993e-05, + "loss": 0.791, + "step": 15910 + }, + { + "epoch": 1.26, + "learning_rate": 3.2168880009401817e-05, + "loss": 0.7916, + "step": 15920 + }, + { + "epoch": 1.26, + "learning_rate": 3.215418968151369e-05, + "loss": 0.7312, + "step": 15930 + }, + { + "epoch": 1.26, + "learning_rate": 3.213949935362557e-05, + "loss": 0.7762, + "step": 15940 + }, + { + "epoch": 1.27, + "learning_rate": 3.2124809025737454e-05, + "loss": 0.7964, + "step": 15950 + }, + { + "epoch": 1.27, + "learning_rate": 3.211011869784934e-05, + "loss": 0.7732, + "step": 15960 + }, + { + "epoch": 1.27, + "learning_rate": 3.209542836996122e-05, + "loss": 0.7543, + "step": 15970 + }, + { + "epoch": 1.27, + "learning_rate": 3.20807380420731e-05, + "loss": 0.8151, + "step": 15980 + }, + { + "epoch": 1.27, + "learning_rate": 3.206604771418498e-05, + "loss": 0.7808, + "step": 15990 + }, + { + "epoch": 1.27, + "learning_rate": 3.205135738629687e-05, + "loss": 0.7764, + "step": 16000 + }, + { + "epoch": 1.27, + "learning_rate": 3.203666705840874e-05, + "loss": 0.8093, + "step": 16010 + }, + { + "epoch": 1.27, + "learning_rate": 3.2021976730520625e-05, + "loss": 0.7852, + "step": 16020 + }, + { + "epoch": 1.27, + "learning_rate": 3.2007286402632506e-05, + "loss": 0.7664, + "step": 16030 + }, + { + "epoch": 1.27, + "learning_rate": 3.199259607474439e-05, + "loss": 0.7489, + "step": 16040 + }, + { + "epoch": 1.27, + "learning_rate": 3.1977905746856276e-05, + "loss": 0.7906, + "step": 16050 + }, + { + "epoch": 1.27, + "learning_rate": 3.196321541896815e-05, + "loss": 0.8657, + "step": 16060 + }, + { + "epoch": 1.27, + "learning_rate": 3.194852509108003e-05, + "loss": 0.7447, + "step": 16070 + }, + { + "epoch": 1.28, + "learning_rate": 3.1933834763191914e-05, + "loss": 0.7491, + "step": 16080 + }, + { + "epoch": 1.28, + "learning_rate": 3.19191444353038e-05, + "loss": 0.753, + "step": 16090 + }, + { + "epoch": 1.28, + "learning_rate": 3.190445410741568e-05, + "loss": 0.7976, + "step": 16100 + }, + { + "epoch": 1.28, + "learning_rate": 3.188976377952756e-05, + "loss": 0.7275, + "step": 16110 + }, + { + "epoch": 1.28, + "learning_rate": 3.187507345163944e-05, + "loss": 0.7376, + "step": 16120 + }, + { + "epoch": 1.28, + "learning_rate": 3.186038312375133e-05, + "loss": 0.7337, + "step": 16130 + }, + { + "epoch": 1.28, + "learning_rate": 3.184569279586321e-05, + "loss": 0.7547, + "step": 16140 + }, + { + "epoch": 1.28, + "learning_rate": 3.1831002467975084e-05, + "loss": 0.802, + "step": 16150 + }, + { + "epoch": 1.28, + "learning_rate": 3.1816312140086966e-05, + "loss": 0.7964, + "step": 16160 + }, + { + "epoch": 1.28, + "learning_rate": 3.180162181219885e-05, + "loss": 0.7803, + "step": 16170 + }, + { + "epoch": 1.28, + "learning_rate": 3.1786931484310736e-05, + "loss": 0.7979, + "step": 16180 + }, + { + "epoch": 1.28, + "learning_rate": 3.177224115642261e-05, + "loss": 0.7737, + "step": 16190 + }, + { + "epoch": 1.29, + "learning_rate": 3.175755082853449e-05, + "loss": 0.7588, + "step": 16200 + }, + { + "epoch": 1.29, + "learning_rate": 3.1742860500646373e-05, + "loss": 0.7304, + "step": 16210 + }, + { + "epoch": 1.29, + "learning_rate": 3.172817017275826e-05, + "loss": 0.7293, + "step": 16220 + }, + { + "epoch": 1.29, + "learning_rate": 3.1713479844870136e-05, + "loss": 0.7998, + "step": 16230 + }, + { + "epoch": 1.29, + "learning_rate": 3.169878951698202e-05, + "loss": 0.7428, + "step": 16240 + }, + { + "epoch": 1.29, + "learning_rate": 3.16840991890939e-05, + "loss": 0.7852, + "step": 16250 + }, + { + "epoch": 1.29, + "learning_rate": 3.166940886120579e-05, + "loss": 0.7732, + "step": 16260 + }, + { + "epoch": 1.29, + "learning_rate": 3.165471853331767e-05, + "loss": 0.8086, + "step": 16270 + }, + { + "epoch": 1.29, + "learning_rate": 3.1640028205429544e-05, + "loss": 0.7803, + "step": 16280 + }, + { + "epoch": 1.29, + "learning_rate": 3.1625337877541425e-05, + "loss": 0.7377, + "step": 16290 + }, + { + "epoch": 1.29, + "learning_rate": 3.1610647549653314e-05, + "loss": 0.7679, + "step": 16300 + }, + { + "epoch": 1.29, + "learning_rate": 3.1595957221765195e-05, + "loss": 0.771, + "step": 16310 + }, + { + "epoch": 1.29, + "learning_rate": 3.158126689387707e-05, + "loss": 0.7422, + "step": 16320 + }, + { + "epoch": 1.3, + "learning_rate": 3.156657656598895e-05, + "loss": 0.8016, + "step": 16330 + }, + { + "epoch": 1.3, + "learning_rate": 3.155188623810083e-05, + "loss": 0.7331, + "step": 16340 + }, + { + "epoch": 1.3, + "learning_rate": 3.153719591021272e-05, + "loss": 0.7691, + "step": 16350 + }, + { + "epoch": 1.3, + "learning_rate": 3.1522505582324596e-05, + "loss": 0.7675, + "step": 16360 + }, + { + "epoch": 1.3, + "learning_rate": 3.150781525443648e-05, + "loss": 0.7798, + "step": 16370 + }, + { + "epoch": 1.3, + "learning_rate": 3.149312492654836e-05, + "loss": 0.7505, + "step": 16380 + }, + { + "epoch": 1.3, + "learning_rate": 3.147843459866025e-05, + "loss": 0.8041, + "step": 16390 + }, + { + "epoch": 1.3, + "learning_rate": 3.146374427077213e-05, + "loss": 0.8581, + "step": 16400 + }, + { + "epoch": 1.3, + "learning_rate": 3.1449053942884004e-05, + "loss": 0.7074, + "step": 16410 + }, + { + "epoch": 1.3, + "learning_rate": 3.1434363614995885e-05, + "loss": 0.8211, + "step": 16420 + }, + { + "epoch": 1.3, + "learning_rate": 3.141967328710777e-05, + "loss": 0.7405, + "step": 16430 + }, + { + "epoch": 1.3, + "learning_rate": 3.1404982959219655e-05, + "loss": 0.8445, + "step": 16440 + }, + { + "epoch": 1.3, + "learning_rate": 3.139029263133153e-05, + "loss": 0.7511, + "step": 16450 + }, + { + "epoch": 1.31, + "learning_rate": 3.137560230344341e-05, + "loss": 0.8151, + "step": 16460 + }, + { + "epoch": 1.31, + "learning_rate": 3.13609119755553e-05, + "loss": 0.801, + "step": 16470 + }, + { + "epoch": 1.31, + "learning_rate": 3.134622164766718e-05, + "loss": 0.8055, + "step": 16480 + }, + { + "epoch": 1.31, + "learning_rate": 3.133153131977906e-05, + "loss": 0.7699, + "step": 16490 + }, + { + "epoch": 1.31, + "learning_rate": 3.131684099189094e-05, + "loss": 0.7832, + "step": 16500 + }, + { + "epoch": 1.31, + "learning_rate": 3.130215066400282e-05, + "loss": 0.7135, + "step": 16510 + }, + { + "epoch": 1.31, + "learning_rate": 3.128746033611471e-05, + "loss": 0.803, + "step": 16520 + }, + { + "epoch": 1.31, + "learning_rate": 3.127277000822659e-05, + "loss": 0.7643, + "step": 16530 + }, + { + "epoch": 1.31, + "learning_rate": 3.125807968033846e-05, + "loss": 0.7961, + "step": 16540 + }, + { + "epoch": 1.31, + "learning_rate": 3.1243389352450345e-05, + "loss": 0.7559, + "step": 16550 + }, + { + "epoch": 1.31, + "learning_rate": 3.122869902456223e-05, + "loss": 0.7063, + "step": 16560 + }, + { + "epoch": 1.31, + "learning_rate": 3.1214008696674114e-05, + "loss": 0.8185, + "step": 16570 + }, + { + "epoch": 1.32, + "learning_rate": 3.119931836878599e-05, + "loss": 0.7969, + "step": 16580 + }, + { + "epoch": 1.32, + "learning_rate": 3.118462804089787e-05, + "loss": 0.7555, + "step": 16590 + }, + { + "epoch": 1.32, + "learning_rate": 3.116993771300976e-05, + "loss": 0.7519, + "step": 16600 + }, + { + "epoch": 1.32, + "learning_rate": 3.115524738512164e-05, + "loss": 0.8568, + "step": 16610 + }, + { + "epoch": 1.32, + "learning_rate": 3.114055705723352e-05, + "loss": 0.7535, + "step": 16620 + }, + { + "epoch": 1.32, + "learning_rate": 3.11258667293454e-05, + "loss": 0.7772, + "step": 16630 + }, + { + "epoch": 1.32, + "learning_rate": 3.111117640145728e-05, + "loss": 0.7592, + "step": 16640 + }, + { + "epoch": 1.32, + "learning_rate": 3.1096486073569166e-05, + "loss": 0.7595, + "step": 16650 + }, + { + "epoch": 1.32, + "learning_rate": 3.108179574568105e-05, + "loss": 0.7582, + "step": 16660 + }, + { + "epoch": 1.32, + "learning_rate": 3.106710541779292e-05, + "loss": 0.8067, + "step": 16670 + }, + { + "epoch": 1.32, + "learning_rate": 3.1052415089904804e-05, + "loss": 0.7188, + "step": 16680 + }, + { + "epoch": 1.32, + "learning_rate": 3.103772476201669e-05, + "loss": 0.7388, + "step": 16690 + }, + { + "epoch": 1.32, + "learning_rate": 3.1023034434128574e-05, + "loss": 0.7085, + "step": 16700 + }, + { + "epoch": 1.33, + "learning_rate": 3.100834410624045e-05, + "loss": 0.7294, + "step": 16710 + }, + { + "epoch": 1.33, + "learning_rate": 3.099365377835233e-05, + "loss": 0.7785, + "step": 16720 + }, + { + "epoch": 1.33, + "learning_rate": 3.097896345046422e-05, + "loss": 0.8212, + "step": 16730 + }, + { + "epoch": 1.33, + "learning_rate": 3.09642731225761e-05, + "loss": 0.738, + "step": 16740 + }, + { + "epoch": 1.33, + "learning_rate": 3.094958279468798e-05, + "loss": 0.7751, + "step": 16750 + }, + { + "epoch": 1.33, + "learning_rate": 3.0934892466799856e-05, + "loss": 0.8189, + "step": 16760 + }, + { + "epoch": 1.33, + "learning_rate": 3.0920202138911745e-05, + "loss": 0.7955, + "step": 16770 + }, + { + "epoch": 1.33, + "learning_rate": 3.0905511811023626e-05, + "loss": 0.7584, + "step": 16780 + }, + { + "epoch": 1.33, + "learning_rate": 3.089082148313551e-05, + "loss": 0.7406, + "step": 16790 + }, + { + "epoch": 1.33, + "learning_rate": 3.087613115524738e-05, + "loss": 0.8233, + "step": 16800 + }, + { + "epoch": 1.33, + "learning_rate": 3.0861440827359264e-05, + "loss": 0.7893, + "step": 16810 + }, + { + "epoch": 1.33, + "learning_rate": 3.084675049947115e-05, + "loss": 0.7896, + "step": 16820 + }, + { + "epoch": 1.34, + "learning_rate": 3.0832060171583034e-05, + "loss": 0.8096, + "step": 16830 + }, + { + "epoch": 1.34, + "learning_rate": 3.0817369843694915e-05, + "loss": 0.7719, + "step": 16840 + }, + { + "epoch": 1.34, + "learning_rate": 3.080267951580679e-05, + "loss": 0.7614, + "step": 16850 + }, + { + "epoch": 1.34, + "learning_rate": 3.078798918791868e-05, + "loss": 0.8957, + "step": 16860 + }, + { + "epoch": 1.34, + "learning_rate": 3.077329886003056e-05, + "loss": 0.854, + "step": 16870 + }, + { + "epoch": 1.34, + "learning_rate": 3.075860853214244e-05, + "loss": 0.7604, + "step": 16880 + }, + { + "epoch": 1.34, + "learning_rate": 3.0743918204254316e-05, + "loss": 0.7925, + "step": 16890 + }, + { + "epoch": 1.34, + "learning_rate": 3.0729227876366204e-05, + "loss": 0.7724, + "step": 16900 + }, + { + "epoch": 1.34, + "learning_rate": 3.0714537548478086e-05, + "loss": 0.7669, + "step": 16910 + }, + { + "epoch": 1.34, + "learning_rate": 3.069984722058997e-05, + "loss": 0.7384, + "step": 16920 + }, + { + "epoch": 1.34, + "learning_rate": 3.068515689270184e-05, + "loss": 0.7362, + "step": 16930 + }, + { + "epoch": 1.34, + "learning_rate": 3.067046656481373e-05, + "loss": 0.8216, + "step": 16940 + }, + { + "epoch": 1.34, + "learning_rate": 3.065577623692561e-05, + "loss": 0.6931, + "step": 16950 + }, + { + "epoch": 1.35, + "learning_rate": 3.064108590903749e-05, + "loss": 0.7652, + "step": 16960 + }, + { + "epoch": 1.35, + "learning_rate": 3.0626395581149375e-05, + "loss": 0.7757, + "step": 16970 + }, + { + "epoch": 1.35, + "learning_rate": 3.061170525326125e-05, + "loss": 0.7722, + "step": 16980 + }, + { + "epoch": 1.35, + "learning_rate": 3.059701492537314e-05, + "loss": 0.7484, + "step": 16990 + }, + { + "epoch": 1.35, + "learning_rate": 3.058232459748502e-05, + "loss": 0.7138, + "step": 17000 + }, + { + "epoch": 1.35, + "learning_rate": 3.05676342695969e-05, + "loss": 0.7354, + "step": 17010 + }, + { + "epoch": 1.35, + "learning_rate": 3.0552943941708775e-05, + "loss": 0.7648, + "step": 17020 + }, + { + "epoch": 1.35, + "learning_rate": 3.0538253613820664e-05, + "loss": 0.7771, + "step": 17030 + }, + { + "epoch": 1.35, + "learning_rate": 3.0523563285932545e-05, + "loss": 0.7876, + "step": 17040 + }, + { + "epoch": 1.35, + "learning_rate": 3.0508872958044427e-05, + "loss": 0.739, + "step": 17050 + }, + { + "epoch": 1.35, + "learning_rate": 3.0494182630156305e-05, + "loss": 0.7413, + "step": 17060 + }, + { + "epoch": 1.35, + "learning_rate": 3.0479492302268186e-05, + "loss": 0.752, + "step": 17070 + }, + { + "epoch": 1.35, + "learning_rate": 3.0464801974380068e-05, + "loss": 0.7669, + "step": 17080 + }, + { + "epoch": 1.36, + "learning_rate": 3.0450111646491953e-05, + "loss": 0.8291, + "step": 17090 + }, + { + "epoch": 1.36, + "learning_rate": 3.0435421318603834e-05, + "loss": 0.8195, + "step": 17100 + }, + { + "epoch": 1.36, + "learning_rate": 3.0420730990715712e-05, + "loss": 0.7926, + "step": 17110 + }, + { + "epoch": 1.36, + "learning_rate": 3.0406040662827594e-05, + "loss": 0.7257, + "step": 17120 + }, + { + "epoch": 1.36, + "learning_rate": 3.039135033493948e-05, + "loss": 0.7665, + "step": 17130 + }, + { + "epoch": 1.36, + "learning_rate": 3.037666000705136e-05, + "loss": 0.7807, + "step": 17140 + }, + { + "epoch": 1.36, + "learning_rate": 3.036196967916324e-05, + "loss": 0.7648, + "step": 17150 + }, + { + "epoch": 1.36, + "learning_rate": 3.034727935127512e-05, + "loss": 0.7391, + "step": 17160 + }, + { + "epoch": 1.36, + "learning_rate": 3.0332589023387005e-05, + "loss": 0.8252, + "step": 17170 + }, + { + "epoch": 1.36, + "learning_rate": 3.0317898695498886e-05, + "loss": 0.7116, + "step": 17180 + }, + { + "epoch": 1.36, + "learning_rate": 3.0303208367610768e-05, + "loss": 0.7859, + "step": 17190 + }, + { + "epoch": 1.36, + "learning_rate": 3.0288518039722646e-05, + "loss": 0.7531, + "step": 17200 + }, + { + "epoch": 1.37, + "learning_rate": 3.027382771183453e-05, + "loss": 0.8152, + "step": 17210 + }, + { + "epoch": 1.37, + "learning_rate": 3.0259137383946412e-05, + "loss": 0.7257, + "step": 17220 + }, + { + "epoch": 1.37, + "learning_rate": 3.0244447056058294e-05, + "loss": 0.7228, + "step": 17230 + }, + { + "epoch": 1.37, + "learning_rate": 3.0229756728170172e-05, + "loss": 0.7729, + "step": 17240 + }, + { + "epoch": 1.37, + "learning_rate": 3.0215066400282053e-05, + "loss": 0.7818, + "step": 17250 + }, + { + "epoch": 1.37, + "learning_rate": 3.0200376072393938e-05, + "loss": 0.7644, + "step": 17260 + }, + { + "epoch": 1.37, + "learning_rate": 3.018568574450582e-05, + "loss": 0.7901, + "step": 17270 + }, + { + "epoch": 1.37, + "learning_rate": 3.0170995416617698e-05, + "loss": 0.7414, + "step": 17280 + }, + { + "epoch": 1.37, + "learning_rate": 3.015630508872958e-05, + "loss": 0.7494, + "step": 17290 + }, + { + "epoch": 1.37, + "learning_rate": 3.0141614760841464e-05, + "loss": 0.7852, + "step": 17300 + }, + { + "epoch": 1.37, + "learning_rate": 3.0126924432953346e-05, + "loss": 0.7436, + "step": 17310 + }, + { + "epoch": 1.37, + "learning_rate": 3.011223410506523e-05, + "loss": 0.7725, + "step": 17320 + }, + { + "epoch": 1.37, + "learning_rate": 3.0097543777177105e-05, + "loss": 0.8177, + "step": 17330 + }, + { + "epoch": 1.38, + "learning_rate": 3.008285344928899e-05, + "loss": 0.7464, + "step": 17340 + }, + { + "epoch": 1.38, + "learning_rate": 3.0068163121400872e-05, + "loss": 0.7298, + "step": 17350 + }, + { + "epoch": 1.38, + "learning_rate": 3.0053472793512753e-05, + "loss": 0.7295, + "step": 17360 + }, + { + "epoch": 1.38, + "learning_rate": 3.003878246562463e-05, + "loss": 0.7741, + "step": 17370 + }, + { + "epoch": 1.38, + "learning_rate": 3.0024092137736516e-05, + "loss": 0.7584, + "step": 17380 + }, + { + "epoch": 1.38, + "learning_rate": 3.0009401809848398e-05, + "loss": 0.842, + "step": 17390 + }, + { + "epoch": 1.38, + "learning_rate": 2.999471148196028e-05, + "loss": 0.7817, + "step": 17400 + }, + { + "epoch": 1.38, + "learning_rate": 2.9980021154072157e-05, + "loss": 0.7779, + "step": 17410 + }, + { + "epoch": 1.38, + "learning_rate": 2.996533082618404e-05, + "loss": 0.83, + "step": 17420 + }, + { + "epoch": 1.38, + "learning_rate": 2.9950640498295924e-05, + "loss": 0.769, + "step": 17430 + }, + { + "epoch": 1.38, + "learning_rate": 2.9935950170407805e-05, + "loss": 0.787, + "step": 17440 + }, + { + "epoch": 1.38, + "learning_rate": 2.992125984251969e-05, + "loss": 0.7655, + "step": 17450 + }, + { + "epoch": 1.39, + "learning_rate": 2.9906569514631565e-05, + "loss": 0.7266, + "step": 17460 + }, + { + "epoch": 1.39, + "learning_rate": 2.989187918674345e-05, + "loss": 0.7885, + "step": 17470 + }, + { + "epoch": 1.39, + "learning_rate": 2.987718885885533e-05, + "loss": 0.8088, + "step": 17480 + }, + { + "epoch": 1.39, + "learning_rate": 2.9862498530967213e-05, + "loss": 0.7561, + "step": 17490 + }, + { + "epoch": 1.39, + "learning_rate": 2.984780820307909e-05, + "loss": 0.7585, + "step": 17500 + }, + { + "epoch": 1.39, + "learning_rate": 2.9833117875190976e-05, + "loss": 0.7403, + "step": 17510 + }, + { + "epoch": 1.39, + "learning_rate": 2.9818427547302857e-05, + "loss": 0.8046, + "step": 17520 + }, + { + "epoch": 1.39, + "learning_rate": 2.980373721941474e-05, + "loss": 0.7932, + "step": 17530 + }, + { + "epoch": 1.39, + "learning_rate": 2.9789046891526624e-05, + "loss": 0.7178, + "step": 17540 + }, + { + "epoch": 1.39, + "learning_rate": 2.9774356563638502e-05, + "loss": 0.7259, + "step": 17550 + }, + { + "epoch": 1.39, + "learning_rate": 2.9759666235750383e-05, + "loss": 0.7506, + "step": 17560 + }, + { + "epoch": 1.39, + "learning_rate": 2.9744975907862265e-05, + "loss": 0.7754, + "step": 17570 + }, + { + "epoch": 1.39, + "learning_rate": 2.973028557997415e-05, + "loss": 0.7556, + "step": 17580 + }, + { + "epoch": 1.4, + "learning_rate": 2.9715595252086025e-05, + "loss": 0.7863, + "step": 17590 + }, + { + "epoch": 1.4, + "learning_rate": 2.970090492419791e-05, + "loss": 0.7794, + "step": 17600 + }, + { + "epoch": 1.4, + "learning_rate": 2.968621459630979e-05, + "loss": 0.758, + "step": 17610 + }, + { + "epoch": 1.4, + "learning_rate": 2.9671524268421676e-05, + "loss": 0.7956, + "step": 17620 + }, + { + "epoch": 1.4, + "learning_rate": 2.965683394053355e-05, + "loss": 0.7906, + "step": 17630 + }, + { + "epoch": 1.4, + "learning_rate": 2.9642143612645435e-05, + "loss": 0.756, + "step": 17640 + }, + { + "epoch": 1.4, + "learning_rate": 2.9627453284757317e-05, + "loss": 0.7754, + "step": 17650 + }, + { + "epoch": 1.4, + "learning_rate": 2.96127629568692e-05, + "loss": 0.8384, + "step": 17660 + }, + { + "epoch": 1.4, + "learning_rate": 2.9598072628981083e-05, + "loss": 0.7799, + "step": 17670 + }, + { + "epoch": 1.4, + "learning_rate": 2.958338230109296e-05, + "loss": 0.795, + "step": 17680 + }, + { + "epoch": 1.4, + "learning_rate": 2.9568691973204843e-05, + "loss": 0.6872, + "step": 17690 + }, + { + "epoch": 1.4, + "learning_rate": 2.9554001645316724e-05, + "loss": 0.8041, + "step": 17700 + }, + { + "epoch": 1.4, + "learning_rate": 2.953931131742861e-05, + "loss": 0.7729, + "step": 17710 + }, + { + "epoch": 1.41, + "learning_rate": 2.9524620989540484e-05, + "loss": 0.7663, + "step": 17720 + }, + { + "epoch": 1.41, + "learning_rate": 2.950993066165237e-05, + "loss": 0.7851, + "step": 17730 + }, + { + "epoch": 1.41, + "learning_rate": 2.949524033376425e-05, + "loss": 0.8074, + "step": 17740 + }, + { + "epoch": 1.41, + "learning_rate": 2.9480550005876135e-05, + "loss": 0.765, + "step": 17750 + }, + { + "epoch": 1.41, + "learning_rate": 2.946585967798801e-05, + "loss": 0.742, + "step": 17760 + }, + { + "epoch": 1.41, + "learning_rate": 2.9451169350099895e-05, + "loss": 0.7957, + "step": 17770 + }, + { + "epoch": 1.41, + "learning_rate": 2.9436479022211777e-05, + "loss": 0.7754, + "step": 17780 + }, + { + "epoch": 1.41, + "learning_rate": 2.942178869432366e-05, + "loss": 0.7761, + "step": 17790 + }, + { + "epoch": 1.41, + "learning_rate": 2.9407098366435543e-05, + "loss": 0.7872, + "step": 17800 + }, + { + "epoch": 1.41, + "learning_rate": 2.939240803854742e-05, + "loss": 0.7198, + "step": 17810 + }, + { + "epoch": 1.41, + "learning_rate": 2.9377717710659303e-05, + "loss": 0.7827, + "step": 17820 + }, + { + "epoch": 1.41, + "learning_rate": 2.9363027382771184e-05, + "loss": 0.8286, + "step": 17830 + }, + { + "epoch": 1.42, + "learning_rate": 2.934833705488307e-05, + "loss": 0.6937, + "step": 17840 + }, + { + "epoch": 1.42, + "learning_rate": 2.9333646726994947e-05, + "loss": 0.8048, + "step": 17850 + }, + { + "epoch": 1.42, + "learning_rate": 2.931895639910683e-05, + "loss": 0.7357, + "step": 17860 + }, + { + "epoch": 1.42, + "learning_rate": 2.930426607121871e-05, + "loss": 0.8074, + "step": 17870 + }, + { + "epoch": 1.42, + "learning_rate": 2.9289575743330595e-05, + "loss": 0.7959, + "step": 17880 + }, + { + "epoch": 1.42, + "learning_rate": 2.9274885415442476e-05, + "loss": 0.764, + "step": 17890 + }, + { + "epoch": 1.42, + "learning_rate": 2.9260195087554355e-05, + "loss": 0.7764, + "step": 17900 + }, + { + "epoch": 1.42, + "learning_rate": 2.9245504759666236e-05, + "loss": 0.7749, + "step": 17910 + }, + { + "epoch": 1.42, + "learning_rate": 2.923081443177812e-05, + "loss": 0.7657, + "step": 17920 + }, + { + "epoch": 1.42, + "learning_rate": 2.9216124103890002e-05, + "loss": 0.7492, + "step": 17930 + }, + { + "epoch": 1.42, + "learning_rate": 2.920143377600188e-05, + "loss": 0.7597, + "step": 17940 + }, + { + "epoch": 1.42, + "learning_rate": 2.9186743448113762e-05, + "loss": 0.7866, + "step": 17950 + }, + { + "epoch": 1.42, + "learning_rate": 2.9172053120225644e-05, + "loss": 0.7872, + "step": 17960 + }, + { + "epoch": 1.43, + "learning_rate": 2.915736279233753e-05, + "loss": 0.729, + "step": 17970 + }, + { + "epoch": 1.43, + "learning_rate": 2.9142672464449407e-05, + "loss": 0.7709, + "step": 17980 + }, + { + "epoch": 1.43, + "learning_rate": 2.9127982136561288e-05, + "loss": 0.8134, + "step": 17990 + }, + { + "epoch": 1.43, + "learning_rate": 2.911329180867317e-05, + "loss": 0.7076, + "step": 18000 + }, + { + "epoch": 1.43, + "learning_rate": 2.9098601480785055e-05, + "loss": 0.7293, + "step": 18010 + }, + { + "epoch": 1.43, + "learning_rate": 2.9083911152896936e-05, + "loss": 0.7655, + "step": 18020 + }, + { + "epoch": 1.43, + "learning_rate": 2.9069220825008814e-05, + "loss": 0.795, + "step": 18030 + }, + { + "epoch": 1.43, + "learning_rate": 2.9054530497120696e-05, + "loss": 0.7135, + "step": 18040 + }, + { + "epoch": 1.43, + "learning_rate": 2.903984016923258e-05, + "loss": 0.7661, + "step": 18050 + }, + { + "epoch": 1.43, + "learning_rate": 2.9025149841344462e-05, + "loss": 0.8056, + "step": 18060 + }, + { + "epoch": 1.43, + "learning_rate": 2.901045951345634e-05, + "loss": 0.8362, + "step": 18070 + }, + { + "epoch": 1.43, + "learning_rate": 2.899576918556822e-05, + "loss": 0.7502, + "step": 18080 + }, + { + "epoch": 1.44, + "learning_rate": 2.8981078857680107e-05, + "loss": 0.7286, + "step": 18090 + }, + { + "epoch": 1.44, + "learning_rate": 2.8966388529791988e-05, + "loss": 0.7444, + "step": 18100 + }, + { + "epoch": 1.44, + "learning_rate": 2.8951698201903866e-05, + "loss": 0.7578, + "step": 18110 + }, + { + "epoch": 1.44, + "learning_rate": 2.8937007874015748e-05, + "loss": 0.7708, + "step": 18120 + }, + { + "epoch": 1.44, + "learning_rate": 2.892231754612763e-05, + "loss": 0.7476, + "step": 18130 + }, + { + "epoch": 1.44, + "learning_rate": 2.8907627218239514e-05, + "loss": 0.7752, + "step": 18140 + }, + { + "epoch": 1.44, + "learning_rate": 2.8892936890351396e-05, + "loss": 0.8123, + "step": 18150 + }, + { + "epoch": 1.44, + "learning_rate": 2.8878246562463274e-05, + "loss": 0.7413, + "step": 18160 + }, + { + "epoch": 1.44, + "learning_rate": 2.8863556234575155e-05, + "loss": 0.7609, + "step": 18170 + }, + { + "epoch": 1.44, + "learning_rate": 2.884886590668704e-05, + "loss": 0.7562, + "step": 18180 + }, + { + "epoch": 1.44, + "learning_rate": 2.883417557879892e-05, + "loss": 0.7895, + "step": 18190 + }, + { + "epoch": 1.44, + "learning_rate": 2.88194852509108e-05, + "loss": 0.8291, + "step": 18200 + }, + { + "epoch": 1.44, + "learning_rate": 2.880479492302268e-05, + "loss": 0.7626, + "step": 18210 + }, + { + "epoch": 1.45, + "learning_rate": 2.8790104595134566e-05, + "loss": 0.8026, + "step": 18220 + }, + { + "epoch": 1.45, + "learning_rate": 2.8775414267246448e-05, + "loss": 0.7011, + "step": 18230 + }, + { + "epoch": 1.45, + "learning_rate": 2.876072393935833e-05, + "loss": 0.7679, + "step": 18240 + }, + { + "epoch": 1.45, + "learning_rate": 2.8746033611470207e-05, + "loss": 0.8308, + "step": 18250 + }, + { + "epoch": 1.45, + "learning_rate": 2.8731343283582092e-05, + "loss": 0.7722, + "step": 18260 + }, + { + "epoch": 1.45, + "learning_rate": 2.8716652955693974e-05, + "loss": 0.7262, + "step": 18270 + }, + { + "epoch": 1.45, + "learning_rate": 2.8701962627805855e-05, + "loss": 0.7708, + "step": 18280 + }, + { + "epoch": 1.45, + "learning_rate": 2.8687272299917733e-05, + "loss": 0.737, + "step": 18290 + }, + { + "epoch": 1.45, + "learning_rate": 2.8672581972029615e-05, + "loss": 0.7857, + "step": 18300 + }, + { + "epoch": 1.45, + "learning_rate": 2.86578916441415e-05, + "loss": 0.7985, + "step": 18310 + }, + { + "epoch": 1.45, + "learning_rate": 2.864320131625338e-05, + "loss": 0.7109, + "step": 18320 + }, + { + "epoch": 1.45, + "learning_rate": 2.862851098836526e-05, + "loss": 0.7399, + "step": 18330 + }, + { + "epoch": 1.45, + "learning_rate": 2.861382066047714e-05, + "loss": 0.7626, + "step": 18340 + }, + { + "epoch": 1.46, + "learning_rate": 2.8599130332589026e-05, + "loss": 0.7891, + "step": 18350 + }, + { + "epoch": 1.46, + "learning_rate": 2.8584440004700907e-05, + "loss": 0.7767, + "step": 18360 + }, + { + "epoch": 1.46, + "learning_rate": 2.856974967681279e-05, + "loss": 0.731, + "step": 18370 + }, + { + "epoch": 1.46, + "learning_rate": 2.8555059348924667e-05, + "loss": 0.7879, + "step": 18380 + }, + { + "epoch": 1.46, + "learning_rate": 2.8540369021036552e-05, + "loss": 0.789, + "step": 18390 + }, + { + "epoch": 1.46, + "learning_rate": 2.8525678693148433e-05, + "loss": 0.7904, + "step": 18400 + }, + { + "epoch": 1.46, + "learning_rate": 2.8510988365260315e-05, + "loss": 0.7345, + "step": 18410 + }, + { + "epoch": 1.46, + "learning_rate": 2.8496298037372193e-05, + "loss": 0.775, + "step": 18420 + }, + { + "epoch": 1.46, + "learning_rate": 2.8481607709484078e-05, + "loss": 0.7591, + "step": 18430 + }, + { + "epoch": 1.46, + "learning_rate": 2.846691738159596e-05, + "loss": 0.7842, + "step": 18440 + }, + { + "epoch": 1.46, + "learning_rate": 2.845222705370784e-05, + "loss": 0.6846, + "step": 18450 + }, + { + "epoch": 1.46, + "learning_rate": 2.843753672581972e-05, + "loss": 0.7997, + "step": 18460 + }, + { + "epoch": 1.47, + "learning_rate": 2.84228463979316e-05, + "loss": 0.7549, + "step": 18470 + }, + { + "epoch": 1.47, + "learning_rate": 2.8408156070043485e-05, + "loss": 0.7724, + "step": 18480 + }, + { + "epoch": 1.47, + "learning_rate": 2.8393465742155367e-05, + "loss": 0.7542, + "step": 18490 + }, + { + "epoch": 1.47, + "learning_rate": 2.837877541426725e-05, + "loss": 0.7749, + "step": 18500 + }, + { + "epoch": 1.47, + "learning_rate": 2.8364085086379126e-05, + "loss": 0.6993, + "step": 18510 + }, + { + "epoch": 1.47, + "learning_rate": 2.834939475849101e-05, + "loss": 0.7434, + "step": 18520 + }, + { + "epoch": 1.47, + "learning_rate": 2.8334704430602893e-05, + "loss": 0.7908, + "step": 18530 + }, + { + "epoch": 1.47, + "learning_rate": 2.8320014102714774e-05, + "loss": 0.7554, + "step": 18540 + }, + { + "epoch": 1.47, + "learning_rate": 2.8305323774826652e-05, + "loss": 0.7506, + "step": 18550 + }, + { + "epoch": 1.47, + "learning_rate": 2.8290633446938537e-05, + "loss": 0.7941, + "step": 18560 + }, + { + "epoch": 1.47, + "learning_rate": 2.827594311905042e-05, + "loss": 0.7235, + "step": 18570 + }, + { + "epoch": 1.47, + "learning_rate": 2.82612527911623e-05, + "loss": 0.7477, + "step": 18580 + }, + { + "epoch": 1.47, + "learning_rate": 2.8246562463274185e-05, + "loss": 0.7898, + "step": 18590 + }, + { + "epoch": 1.48, + "learning_rate": 2.823187213538606e-05, + "loss": 0.7575, + "step": 18600 + }, + { + "epoch": 1.48, + "learning_rate": 2.8217181807497945e-05, + "loss": 0.7486, + "step": 18610 + }, + { + "epoch": 1.48, + "learning_rate": 2.8202491479609826e-05, + "loss": 0.829, + "step": 18620 + }, + { + "epoch": 1.48, + "learning_rate": 2.818780115172171e-05, + "loss": 0.7498, + "step": 18630 + }, + { + "epoch": 1.48, + "learning_rate": 2.8173110823833586e-05, + "loss": 0.7496, + "step": 18640 + }, + { + "epoch": 1.48, + "learning_rate": 2.815842049594547e-05, + "loss": 0.709, + "step": 18650 + }, + { + "epoch": 1.48, + "learning_rate": 2.8143730168057352e-05, + "loss": 0.7064, + "step": 18660 + }, + { + "epoch": 1.48, + "learning_rate": 2.8129039840169237e-05, + "loss": 0.7973, + "step": 18670 + }, + { + "epoch": 1.48, + "learning_rate": 2.8114349512281112e-05, + "loss": 0.734, + "step": 18680 + }, + { + "epoch": 1.48, + "learning_rate": 2.8099659184392997e-05, + "loss": 0.7901, + "step": 18690 + }, + { + "epoch": 1.48, + "learning_rate": 2.808496885650488e-05, + "loss": 0.7062, + "step": 18700 + }, + { + "epoch": 1.48, + "learning_rate": 2.807027852861676e-05, + "loss": 0.7285, + "step": 18710 + }, + { + "epoch": 1.48, + "learning_rate": 2.8055588200728645e-05, + "loss": 0.7864, + "step": 18720 + }, + { + "epoch": 1.49, + "learning_rate": 2.8040897872840523e-05, + "loss": 0.7928, + "step": 18730 + }, + { + "epoch": 1.49, + "learning_rate": 2.8026207544952404e-05, + "loss": 0.7933, + "step": 18740 + }, + { + "epoch": 1.49, + "learning_rate": 2.8011517217064286e-05, + "loss": 0.8055, + "step": 18750 + }, + { + "epoch": 1.49, + "learning_rate": 2.799682688917617e-05, + "loss": 0.7642, + "step": 18760 + }, + { + "epoch": 1.49, + "learning_rate": 2.7982136561288046e-05, + "loss": 0.7322, + "step": 18770 + }, + { + "epoch": 1.49, + "learning_rate": 2.796744623339993e-05, + "loss": 0.7325, + "step": 18780 + }, + { + "epoch": 1.49, + "learning_rate": 2.7952755905511812e-05, + "loss": 0.8099, + "step": 18790 + }, + { + "epoch": 1.49, + "learning_rate": 2.7938065577623697e-05, + "loss": 0.7439, + "step": 18800 + }, + { + "epoch": 1.49, + "learning_rate": 2.792337524973557e-05, + "loss": 0.7448, + "step": 18810 + }, + { + "epoch": 1.49, + "learning_rate": 2.7908684921847456e-05, + "loss": 0.7609, + "step": 18820 + }, + { + "epoch": 1.49, + "learning_rate": 2.7893994593959338e-05, + "loss": 0.7789, + "step": 18830 + }, + { + "epoch": 1.49, + "learning_rate": 2.7879304266071223e-05, + "loss": 0.7669, + "step": 18840 + }, + { + "epoch": 1.5, + "learning_rate": 2.7864613938183104e-05, + "loss": 0.7384, + "step": 18850 + }, + { + "epoch": 1.5, + "learning_rate": 2.7849923610294982e-05, + "loss": 0.7368, + "step": 18860 + }, + { + "epoch": 1.5, + "learning_rate": 2.7835233282406864e-05, + "loss": 0.7517, + "step": 18870 + }, + { + "epoch": 1.5, + "learning_rate": 2.7820542954518745e-05, + "loss": 0.699, + "step": 18880 + }, + { + "epoch": 1.5, + "learning_rate": 2.780585262663063e-05, + "loss": 0.8008, + "step": 18890 + }, + { + "epoch": 1.5, + "learning_rate": 2.779116229874251e-05, + "loss": 0.7713, + "step": 18900 + }, + { + "epoch": 1.5, + "learning_rate": 2.777647197085439e-05, + "loss": 0.7775, + "step": 18910 + }, + { + "epoch": 1.5, + "learning_rate": 2.776178164296627e-05, + "loss": 0.7295, + "step": 18920 + }, + { + "epoch": 1.5, + "learning_rate": 2.7747091315078156e-05, + "loss": 0.745, + "step": 18930 + }, + { + "epoch": 1.5, + "learning_rate": 2.7732400987190038e-05, + "loss": 0.7719, + "step": 18940 + }, + { + "epoch": 1.5, + "learning_rate": 2.7717710659301916e-05, + "loss": 0.8328, + "step": 18950 + }, + { + "epoch": 1.5, + "learning_rate": 2.7703020331413797e-05, + "loss": 0.7773, + "step": 18960 + }, + { + "epoch": 1.5, + "learning_rate": 2.7688330003525682e-05, + "loss": 0.7321, + "step": 18970 + }, + { + "epoch": 1.51, + "learning_rate": 2.7673639675637564e-05, + "loss": 0.7435, + "step": 18980 + }, + { + "epoch": 1.51, + "learning_rate": 2.7658949347749442e-05, + "loss": 0.8293, + "step": 18990 + }, + { + "epoch": 1.51, + "learning_rate": 2.7644259019861324e-05, + "loss": 0.7741, + "step": 19000 + }, + { + "epoch": 1.51, + "learning_rate": 2.7629568691973205e-05, + "loss": 0.7825, + "step": 19010 + }, + { + "epoch": 1.51, + "learning_rate": 2.761487836408509e-05, + "loss": 0.7925, + "step": 19020 + }, + { + "epoch": 1.51, + "learning_rate": 2.7600188036196968e-05, + "loss": 0.7334, + "step": 19030 + }, + { + "epoch": 1.51, + "learning_rate": 2.758549770830885e-05, + "loss": 0.7622, + "step": 19040 + }, + { + "epoch": 1.51, + "learning_rate": 2.757080738042073e-05, + "loss": 0.7564, + "step": 19050 + }, + { + "epoch": 1.51, + "learning_rate": 2.7556117052532616e-05, + "loss": 0.7827, + "step": 19060 + }, + { + "epoch": 1.51, + "learning_rate": 2.7541426724644497e-05, + "loss": 0.7625, + "step": 19070 + }, + { + "epoch": 1.51, + "learning_rate": 2.7526736396756376e-05, + "loss": 0.7667, + "step": 19080 + }, + { + "epoch": 1.51, + "learning_rate": 2.7512046068868257e-05, + "loss": 0.7737, + "step": 19090 + }, + { + "epoch": 1.52, + "learning_rate": 2.7497355740980142e-05, + "loss": 0.7493, + "step": 19100 + }, + { + "epoch": 1.52, + "learning_rate": 2.7482665413092023e-05, + "loss": 0.7274, + "step": 19110 + }, + { + "epoch": 1.52, + "learning_rate": 2.74679750852039e-05, + "loss": 0.8082, + "step": 19120 + }, + { + "epoch": 1.52, + "learning_rate": 2.7453284757315783e-05, + "loss": 0.7597, + "step": 19130 + }, + { + "epoch": 1.52, + "learning_rate": 2.7438594429427668e-05, + "loss": 0.7669, + "step": 19140 + }, + { + "epoch": 1.52, + "learning_rate": 2.742390410153955e-05, + "loss": 0.7258, + "step": 19150 + }, + { + "epoch": 1.52, + "learning_rate": 2.7409213773651428e-05, + "loss": 0.8001, + "step": 19160 + }, + { + "epoch": 1.52, + "learning_rate": 2.739452344576331e-05, + "loss": 0.7349, + "step": 19170 + }, + { + "epoch": 1.52, + "learning_rate": 2.737983311787519e-05, + "loss": 0.7561, + "step": 19180 + }, + { + "epoch": 1.52, + "learning_rate": 2.7365142789987075e-05, + "loss": 0.7596, + "step": 19190 + }, + { + "epoch": 1.52, + "learning_rate": 2.7350452462098957e-05, + "loss": 0.8053, + "step": 19200 + }, + { + "epoch": 1.52, + "learning_rate": 2.7335762134210835e-05, + "loss": 0.7497, + "step": 19210 + }, + { + "epoch": 1.52, + "learning_rate": 2.7321071806322717e-05, + "loss": 0.7399, + "step": 19220 + }, + { + "epoch": 1.53, + "learning_rate": 2.73063814784346e-05, + "loss": 0.7678, + "step": 19230 + }, + { + "epoch": 1.53, + "learning_rate": 2.7291691150546483e-05, + "loss": 0.7709, + "step": 19240 + }, + { + "epoch": 1.53, + "learning_rate": 2.727700082265836e-05, + "loss": 0.7951, + "step": 19250 + }, + { + "epoch": 1.53, + "learning_rate": 2.7262310494770243e-05, + "loss": 0.7366, + "step": 19260 + }, + { + "epoch": 1.53, + "learning_rate": 2.7247620166882128e-05, + "loss": 0.7363, + "step": 19270 + }, + { + "epoch": 1.53, + "learning_rate": 2.723292983899401e-05, + "loss": 0.7751, + "step": 19280 + }, + { + "epoch": 1.53, + "learning_rate": 2.721823951110589e-05, + "loss": 0.694, + "step": 19290 + }, + { + "epoch": 1.53, + "learning_rate": 2.720354918321777e-05, + "loss": 0.7943, + "step": 19300 + }, + { + "epoch": 1.53, + "learning_rate": 2.7188858855329654e-05, + "loss": 0.7311, + "step": 19310 + }, + { + "epoch": 1.53, + "learning_rate": 2.7174168527441535e-05, + "loss": 0.7951, + "step": 19320 + }, + { + "epoch": 1.53, + "learning_rate": 2.7159478199553417e-05, + "loss": 0.7337, + "step": 19330 + }, + { + "epoch": 1.53, + "learning_rate": 2.7144787871665295e-05, + "loss": 0.7096, + "step": 19340 + }, + { + "epoch": 1.53, + "learning_rate": 2.7130097543777176e-05, + "loss": 0.6996, + "step": 19350 + }, + { + "epoch": 1.54, + "learning_rate": 2.711540721588906e-05, + "loss": 0.7646, + "step": 19360 + }, + { + "epoch": 1.54, + "learning_rate": 2.7100716888000943e-05, + "loss": 0.7501, + "step": 19370 + }, + { + "epoch": 1.54, + "learning_rate": 2.708602656011282e-05, + "loss": 0.7585, + "step": 19380 + }, + { + "epoch": 1.54, + "learning_rate": 2.7071336232224702e-05, + "loss": 0.7552, + "step": 19390 + }, + { + "epoch": 1.54, + "learning_rate": 2.7056645904336587e-05, + "loss": 0.7929, + "step": 19400 + }, + { + "epoch": 1.54, + "learning_rate": 2.704195557644847e-05, + "loss": 0.7785, + "step": 19410 + }, + { + "epoch": 1.54, + "learning_rate": 2.702726524856035e-05, + "loss": 0.7557, + "step": 19420 + }, + { + "epoch": 1.54, + "learning_rate": 2.7012574920672228e-05, + "loss": 0.7808, + "step": 19430 + }, + { + "epoch": 1.54, + "learning_rate": 2.6997884592784113e-05, + "loss": 0.7905, + "step": 19440 + }, + { + "epoch": 1.54, + "learning_rate": 2.6983194264895995e-05, + "loss": 0.7859, + "step": 19450 + }, + { + "epoch": 1.54, + "learning_rate": 2.6968503937007876e-05, + "loss": 0.7324, + "step": 19460 + }, + { + "epoch": 1.54, + "learning_rate": 2.6953813609119754e-05, + "loss": 0.7925, + "step": 19470 + }, + { + "epoch": 1.55, + "learning_rate": 2.6939123281231636e-05, + "loss": 0.7102, + "step": 19480 + }, + { + "epoch": 1.55, + "learning_rate": 2.692443295334352e-05, + "loss": 0.7511, + "step": 19490 + }, + { + "epoch": 1.55, + "learning_rate": 2.6909742625455402e-05, + "loss": 0.7977, + "step": 19500 + }, + { + "epoch": 1.55, + "learning_rate": 2.689505229756728e-05, + "loss": 0.7988, + "step": 19510 + }, + { + "epoch": 1.55, + "learning_rate": 2.6880361969679162e-05, + "loss": 0.7423, + "step": 19520 + }, + { + "epoch": 1.55, + "learning_rate": 2.6865671641791047e-05, + "loss": 0.7891, + "step": 19530 + }, + { + "epoch": 1.55, + "learning_rate": 2.6850981313902928e-05, + "loss": 0.8041, + "step": 19540 + }, + { + "epoch": 1.55, + "learning_rate": 2.6836290986014813e-05, + "loss": 0.7648, + "step": 19550 + }, + { + "epoch": 1.55, + "learning_rate": 2.6821600658126688e-05, + "loss": 0.7879, + "step": 19560 + }, + { + "epoch": 1.55, + "learning_rate": 2.6806910330238573e-05, + "loss": 0.7817, + "step": 19570 + }, + { + "epoch": 1.55, + "learning_rate": 2.6792220002350454e-05, + "loss": 0.7726, + "step": 19580 + }, + { + "epoch": 1.55, + "learning_rate": 2.6777529674462336e-05, + "loss": 0.7431, + "step": 19590 + }, + { + "epoch": 1.55, + "learning_rate": 2.6762839346574214e-05, + "loss": 0.7806, + "step": 19600 + }, + { + "epoch": 1.56, + "learning_rate": 2.67481490186861e-05, + "loss": 0.7501, + "step": 19610 + }, + { + "epoch": 1.56, + "learning_rate": 2.673345869079798e-05, + "loss": 0.7577, + "step": 19620 + }, + { + "epoch": 1.56, + "learning_rate": 2.6718768362909862e-05, + "loss": 0.7902, + "step": 19630 + }, + { + "epoch": 1.56, + "learning_rate": 2.6704078035021747e-05, + "loss": 0.7499, + "step": 19640 + }, + { + "epoch": 1.56, + "learning_rate": 2.668938770713362e-05, + "loss": 0.7538, + "step": 19650 + }, + { + "epoch": 1.56, + "learning_rate": 2.6674697379245506e-05, + "loss": 0.7874, + "step": 19660 + }, + { + "epoch": 1.56, + "learning_rate": 2.6660007051357388e-05, + "loss": 0.7141, + "step": 19670 + }, + { + "epoch": 1.56, + "learning_rate": 2.6645316723469273e-05, + "loss": 0.7615, + "step": 19680 + }, + { + "epoch": 1.56, + "learning_rate": 2.6630626395581147e-05, + "loss": 0.7611, + "step": 19690 + }, + { + "epoch": 1.56, + "learning_rate": 2.6615936067693032e-05, + "loss": 0.7344, + "step": 19700 + }, + { + "epoch": 1.56, + "learning_rate": 2.6601245739804914e-05, + "loss": 0.7498, + "step": 19710 + }, + { + "epoch": 1.56, + "learning_rate": 2.65865554119168e-05, + "loss": 0.702, + "step": 19720 + }, + { + "epoch": 1.57, + "learning_rate": 2.6571865084028673e-05, + "loss": 0.7277, + "step": 19730 + }, + { + "epoch": 1.57, + "learning_rate": 2.6557174756140558e-05, + "loss": 0.777, + "step": 19740 + }, + { + "epoch": 1.57, + "learning_rate": 2.654248442825244e-05, + "loss": 0.7607, + "step": 19750 + }, + { + "epoch": 1.57, + "learning_rate": 2.652779410036432e-05, + "loss": 0.7541, + "step": 19760 + }, + { + "epoch": 1.57, + "learning_rate": 2.6513103772476206e-05, + "loss": 0.7859, + "step": 19770 + }, + { + "epoch": 1.57, + "learning_rate": 2.6498413444588084e-05, + "loss": 0.7603, + "step": 19780 + }, + { + "epoch": 1.57, + "learning_rate": 2.6483723116699966e-05, + "loss": 0.7785, + "step": 19790 + }, + { + "epoch": 1.57, + "learning_rate": 2.6469032788811847e-05, + "loss": 0.8143, + "step": 19800 + }, + { + "epoch": 1.57, + "learning_rate": 2.6454342460923732e-05, + "loss": 0.7542, + "step": 19810 + }, + { + "epoch": 1.57, + "learning_rate": 2.6439652133035607e-05, + "loss": 0.7674, + "step": 19820 + }, + { + "epoch": 1.57, + "learning_rate": 2.6424961805147492e-05, + "loss": 0.7427, + "step": 19830 + }, + { + "epoch": 1.57, + "learning_rate": 2.6410271477259373e-05, + "loss": 0.7391, + "step": 19840 + }, + { + "epoch": 1.57, + "learning_rate": 2.6395581149371258e-05, + "loss": 0.7522, + "step": 19850 + }, + { + "epoch": 1.58, + "learning_rate": 2.6380890821483133e-05, + "loss": 0.7884, + "step": 19860 + }, + { + "epoch": 1.58, + "learning_rate": 2.6366200493595018e-05, + "loss": 0.743, + "step": 19870 + }, + { + "epoch": 1.58, + "learning_rate": 2.63515101657069e-05, + "loss": 0.7769, + "step": 19880 + }, + { + "epoch": 1.58, + "learning_rate": 2.633681983781878e-05, + "loss": 0.764, + "step": 19890 + }, + { + "epoch": 1.58, + "learning_rate": 2.6322129509930666e-05, + "loss": 0.7853, + "step": 19900 + }, + { + "epoch": 1.58, + "learning_rate": 2.6307439182042544e-05, + "loss": 0.7442, + "step": 19910 + }, + { + "epoch": 1.58, + "learning_rate": 2.6292748854154425e-05, + "loss": 0.7389, + "step": 19920 + }, + { + "epoch": 1.58, + "learning_rate": 2.6278058526266307e-05, + "loss": 0.7431, + "step": 19930 + }, + { + "epoch": 1.58, + "learning_rate": 2.6263368198378192e-05, + "loss": 0.7494, + "step": 19940 + }, + { + "epoch": 1.58, + "learning_rate": 2.624867787049007e-05, + "loss": 0.7756, + "step": 19950 + }, + { + "epoch": 1.58, + "learning_rate": 2.623398754260195e-05, + "loss": 0.7971, + "step": 19960 + }, + { + "epoch": 1.58, + "learning_rate": 2.6219297214713833e-05, + "loss": 0.7963, + "step": 19970 + }, + { + "epoch": 1.58, + "learning_rate": 2.6204606886825718e-05, + "loss": 0.7874, + "step": 19980 + }, + { + "epoch": 1.59, + "learning_rate": 2.61899165589376e-05, + "loss": 0.7517, + "step": 19990 + }, + { + "epoch": 1.59, + "learning_rate": 2.6175226231049477e-05, + "loss": 0.7415, + "step": 20000 + }, + { + "epoch": 1.59, + "learning_rate": 2.616053590316136e-05, + "loss": 0.7447, + "step": 20010 + }, + { + "epoch": 1.59, + "learning_rate": 2.6145845575273244e-05, + "loss": 0.7411, + "step": 20020 + }, + { + "epoch": 1.59, + "learning_rate": 2.6131155247385125e-05, + "loss": 0.7268, + "step": 20030 + }, + { + "epoch": 1.59, + "learning_rate": 2.6116464919497003e-05, + "loss": 0.7728, + "step": 20040 + }, + { + "epoch": 1.59, + "learning_rate": 2.6101774591608885e-05, + "loss": 0.7276, + "step": 20050 + }, + { + "epoch": 1.59, + "learning_rate": 2.6087084263720766e-05, + "loss": 0.7312, + "step": 20060 + }, + { + "epoch": 1.59, + "learning_rate": 2.607239393583265e-05, + "loss": 0.7443, + "step": 20070 + }, + { + "epoch": 1.59, + "learning_rate": 2.605770360794453e-05, + "loss": 0.7867, + "step": 20080 + }, + { + "epoch": 1.59, + "learning_rate": 2.604301328005641e-05, + "loss": 0.7368, + "step": 20090 + }, + { + "epoch": 1.59, + "learning_rate": 2.6028322952168292e-05, + "loss": 0.7978, + "step": 20100 + }, + { + "epoch": 1.6, + "learning_rate": 2.6013632624280177e-05, + "loss": 0.8223, + "step": 20110 + }, + { + "epoch": 1.6, + "learning_rate": 2.599894229639206e-05, + "loss": 0.7241, + "step": 20120 + }, + { + "epoch": 1.6, + "learning_rate": 2.5984251968503937e-05, + "loss": 0.7338, + "step": 20130 + }, + { + "epoch": 1.6, + "learning_rate": 2.596956164061582e-05, + "loss": 0.75, + "step": 20140 + }, + { + "epoch": 1.6, + "learning_rate": 2.5954871312727703e-05, + "loss": 0.7243, + "step": 20150 + }, + { + "epoch": 1.6, + "learning_rate": 2.5940180984839585e-05, + "loss": 0.7761, + "step": 20160 + }, + { + "epoch": 1.6, + "learning_rate": 2.5925490656951463e-05, + "loss": 0.7553, + "step": 20170 + }, + { + "epoch": 1.6, + "learning_rate": 2.5910800329063344e-05, + "loss": 0.737, + "step": 20180 + }, + { + "epoch": 1.6, + "learning_rate": 2.589611000117523e-05, + "loss": 0.7723, + "step": 20190 + }, + { + "epoch": 1.6, + "learning_rate": 2.588141967328711e-05, + "loss": 0.7655, + "step": 20200 + }, + { + "epoch": 1.6, + "learning_rate": 2.586672934539899e-05, + "loss": 0.7601, + "step": 20210 + }, + { + "epoch": 1.6, + "learning_rate": 2.585203901751087e-05, + "loss": 0.7472, + "step": 20220 + }, + { + "epoch": 1.6, + "learning_rate": 2.5837348689622752e-05, + "loss": 0.7232, + "step": 20230 + }, + { + "epoch": 1.61, + "learning_rate": 2.5822658361734637e-05, + "loss": 0.7941, + "step": 20240 + }, + { + "epoch": 1.61, + "learning_rate": 2.580796803384652e-05, + "loss": 0.7655, + "step": 20250 + }, + { + "epoch": 1.61, + "learning_rate": 2.5793277705958397e-05, + "loss": 0.7502, + "step": 20260 + }, + { + "epoch": 1.61, + "learning_rate": 2.5778587378070278e-05, + "loss": 0.7322, + "step": 20270 + }, + { + "epoch": 1.61, + "learning_rate": 2.5763897050182163e-05, + "loss": 0.7366, + "step": 20280 + }, + { + "epoch": 1.61, + "learning_rate": 2.5749206722294044e-05, + "loss": 0.7535, + "step": 20290 + }, + { + "epoch": 1.61, + "learning_rate": 2.5734516394405923e-05, + "loss": 0.768, + "step": 20300 + }, + { + "epoch": 1.61, + "learning_rate": 2.5719826066517804e-05, + "loss": 0.7663, + "step": 20310 + }, + { + "epoch": 1.61, + "learning_rate": 2.570513573862969e-05, + "loss": 0.7251, + "step": 20320 + }, + { + "epoch": 1.61, + "learning_rate": 2.569044541074157e-05, + "loss": 0.7807, + "step": 20330 + }, + { + "epoch": 1.61, + "learning_rate": 2.5675755082853452e-05, + "loss": 0.7574, + "step": 20340 + }, + { + "epoch": 1.61, + "learning_rate": 2.566106475496533e-05, + "loss": 0.837, + "step": 20350 + }, + { + "epoch": 1.62, + "learning_rate": 2.564637442707721e-05, + "loss": 0.7398, + "step": 20360 + }, + { + "epoch": 1.62, + "learning_rate": 2.5631684099189096e-05, + "loss": 0.7878, + "step": 20370 + }, + { + "epoch": 1.62, + "learning_rate": 2.5616993771300978e-05, + "loss": 0.8063, + "step": 20380 + }, + { + "epoch": 1.62, + "learning_rate": 2.5602303443412856e-05, + "loss": 0.7396, + "step": 20390 + }, + { + "epoch": 1.62, + "learning_rate": 2.5587613115524738e-05, + "loss": 0.7864, + "step": 20400 + }, + { + "epoch": 1.62, + "learning_rate": 2.5572922787636623e-05, + "loss": 0.7561, + "step": 20410 + }, + { + "epoch": 1.62, + "learning_rate": 2.5558232459748504e-05, + "loss": 0.798, + "step": 20420 + }, + { + "epoch": 1.62, + "learning_rate": 2.5543542131860382e-05, + "loss": 0.7954, + "step": 20430 + }, + { + "epoch": 1.62, + "learning_rate": 2.5528851803972264e-05, + "loss": 0.7524, + "step": 20440 + }, + { + "epoch": 1.62, + "learning_rate": 2.551416147608415e-05, + "loss": 0.8193, + "step": 20450 + }, + { + "epoch": 1.62, + "learning_rate": 2.549947114819603e-05, + "loss": 0.7255, + "step": 20460 + }, + { + "epoch": 1.62, + "learning_rate": 2.548478082030791e-05, + "loss": 0.7976, + "step": 20470 + }, + { + "epoch": 1.62, + "learning_rate": 2.547009049241979e-05, + "loss": 0.832, + "step": 20480 + }, + { + "epoch": 1.63, + "learning_rate": 2.5455400164531675e-05, + "loss": 0.7466, + "step": 20490 + }, + { + "epoch": 1.63, + "learning_rate": 2.5440709836643556e-05, + "loss": 0.7049, + "step": 20500 + }, + { + "epoch": 1.63, + "learning_rate": 2.5426019508755438e-05, + "loss": 0.7194, + "step": 20510 + }, + { + "epoch": 1.63, + "learning_rate": 2.5411329180867316e-05, + "loss": 0.7478, + "step": 20520 + }, + { + "epoch": 1.63, + "learning_rate": 2.5396638852979197e-05, + "loss": 0.7275, + "step": 20530 + }, + { + "epoch": 1.63, + "learning_rate": 2.5381948525091082e-05, + "loss": 0.7629, + "step": 20540 + }, + { + "epoch": 1.63, + "learning_rate": 2.5367258197202964e-05, + "loss": 0.8226, + "step": 20550 + }, + { + "epoch": 1.63, + "learning_rate": 2.535256786931484e-05, + "loss": 0.7572, + "step": 20560 + }, + { + "epoch": 1.63, + "learning_rate": 2.5337877541426723e-05, + "loss": 0.7659, + "step": 20570 + }, + { + "epoch": 1.63, + "learning_rate": 2.5323187213538608e-05, + "loss": 0.7169, + "step": 20580 + }, + { + "epoch": 1.63, + "learning_rate": 2.530849688565049e-05, + "loss": 0.7577, + "step": 20590 + }, + { + "epoch": 1.63, + "learning_rate": 2.5293806557762374e-05, + "loss": 0.7345, + "step": 20600 + }, + { + "epoch": 1.63, + "learning_rate": 2.527911622987425e-05, + "loss": 0.7931, + "step": 20610 + }, + { + "epoch": 1.64, + "learning_rate": 2.5264425901986134e-05, + "loss": 0.7628, + "step": 20620 + }, + { + "epoch": 1.64, + "learning_rate": 2.5249735574098016e-05, + "loss": 0.7773, + "step": 20630 + }, + { + "epoch": 1.64, + "learning_rate": 2.5235045246209897e-05, + "loss": 0.7619, + "step": 20640 + }, + { + "epoch": 1.64, + "learning_rate": 2.5220354918321775e-05, + "loss": 0.7636, + "step": 20650 + }, + { + "epoch": 1.64, + "learning_rate": 2.520566459043366e-05, + "loss": 0.7871, + "step": 20660 + }, + { + "epoch": 1.64, + "learning_rate": 2.519097426254554e-05, + "loss": 0.7401, + "step": 20670 + }, + { + "epoch": 1.64, + "learning_rate": 2.5176283934657423e-05, + "loss": 0.7739, + "step": 20680 + }, + { + "epoch": 1.64, + "learning_rate": 2.5161593606769308e-05, + "loss": 0.7711, + "step": 20690 + }, + { + "epoch": 1.64, + "learning_rate": 2.5146903278881183e-05, + "loss": 0.759, + "step": 20700 + }, + { + "epoch": 1.64, + "learning_rate": 2.5132212950993068e-05, + "loss": 0.7703, + "step": 20710 + }, + { + "epoch": 1.64, + "learning_rate": 2.511752262310495e-05, + "loss": 0.7283, + "step": 20720 + }, + { + "epoch": 1.64, + "learning_rate": 2.5102832295216834e-05, + "loss": 0.7485, + "step": 20730 + }, + { + "epoch": 1.65, + "learning_rate": 2.508814196732871e-05, + "loss": 0.7941, + "step": 20740 + }, + { + "epoch": 1.65, + "learning_rate": 2.5073451639440594e-05, + "loss": 0.7243, + "step": 20750 + }, + { + "epoch": 1.65, + "learning_rate": 2.5058761311552475e-05, + "loss": 0.7351, + "step": 20760 + }, + { + "epoch": 1.65, + "learning_rate": 2.5044070983664357e-05, + "loss": 0.7846, + "step": 20770 + }, + { + "epoch": 1.65, + "learning_rate": 2.5029380655776235e-05, + "loss": 0.6978, + "step": 20780 + }, + { + "epoch": 1.65, + "learning_rate": 2.501469032788812e-05, + "loss": 0.7749, + "step": 20790 + }, + { + "epoch": 1.65, + "learning_rate": 2.5e-05, + "loss": 0.7521, + "step": 20800 + }, + { + "epoch": 1.65, + "learning_rate": 2.4985309672111883e-05, + "loss": 0.7552, + "step": 20810 + }, + { + "epoch": 1.65, + "learning_rate": 2.4970619344223764e-05, + "loss": 0.7378, + "step": 20820 + }, + { + "epoch": 1.65, + "learning_rate": 2.4955929016335646e-05, + "loss": 0.7957, + "step": 20830 + }, + { + "epoch": 1.65, + "learning_rate": 2.4941238688447527e-05, + "loss": 0.7934, + "step": 20840 + }, + { + "epoch": 1.65, + "learning_rate": 2.492654836055941e-05, + "loss": 0.7451, + "step": 20850 + }, + { + "epoch": 1.65, + "learning_rate": 2.491185803267129e-05, + "loss": 0.7281, + "step": 20860 + }, + { + "epoch": 1.66, + "learning_rate": 2.4897167704783172e-05, + "loss": 0.7438, + "step": 20870 + }, + { + "epoch": 1.66, + "learning_rate": 2.4882477376895053e-05, + "loss": 0.717, + "step": 20880 + }, + { + "epoch": 1.66, + "learning_rate": 2.4867787049006935e-05, + "loss": 0.7535, + "step": 20890 + }, + { + "epoch": 1.66, + "learning_rate": 2.4853096721118816e-05, + "loss": 0.7045, + "step": 20900 + }, + { + "epoch": 1.66, + "learning_rate": 2.4838406393230698e-05, + "loss": 0.7643, + "step": 20910 + }, + { + "epoch": 1.66, + "learning_rate": 2.4823716065342583e-05, + "loss": 0.7302, + "step": 20920 + }, + { + "epoch": 1.66, + "learning_rate": 2.480902573745446e-05, + "loss": 0.792, + "step": 20930 + }, + { + "epoch": 1.66, + "learning_rate": 2.4794335409566342e-05, + "loss": 0.7822, + "step": 20940 + }, + { + "epoch": 1.66, + "learning_rate": 2.4779645081678224e-05, + "loss": 0.7566, + "step": 20950 + }, + { + "epoch": 1.66, + "learning_rate": 2.4764954753790105e-05, + "loss": 0.7825, + "step": 20960 + }, + { + "epoch": 1.66, + "learning_rate": 2.4750264425901987e-05, + "loss": 0.7717, + "step": 20970 + }, + { + "epoch": 1.66, + "learning_rate": 2.4735574098013868e-05, + "loss": 0.7161, + "step": 20980 + }, + { + "epoch": 1.67, + "learning_rate": 2.472088377012575e-05, + "loss": 0.7719, + "step": 20990 + }, + { + "epoch": 1.67, + "learning_rate": 2.470619344223763e-05, + "loss": 0.8023, + "step": 21000 + }, + { + "epoch": 1.67, + "learning_rate": 2.4691503114349513e-05, + "loss": 0.7677, + "step": 21010 + }, + { + "epoch": 1.67, + "learning_rate": 2.4676812786461394e-05, + "loss": 0.755, + "step": 21020 + }, + { + "epoch": 1.67, + "learning_rate": 2.4662122458573276e-05, + "loss": 0.7084, + "step": 21030 + }, + { + "epoch": 1.67, + "learning_rate": 2.4647432130685157e-05, + "loss": 0.7903, + "step": 21040 + }, + { + "epoch": 1.67, + "learning_rate": 2.4632741802797042e-05, + "loss": 0.7331, + "step": 21050 + }, + { + "epoch": 1.67, + "learning_rate": 2.461805147490892e-05, + "loss": 0.7902, + "step": 21060 + }, + { + "epoch": 1.67, + "learning_rate": 2.4603361147020805e-05, + "loss": 0.7752, + "step": 21070 + }, + { + "epoch": 1.67, + "learning_rate": 2.4588670819132683e-05, + "loss": 0.7717, + "step": 21080 + }, + { + "epoch": 1.67, + "learning_rate": 2.4573980491244565e-05, + "loss": 0.7967, + "step": 21090 + }, + { + "epoch": 1.67, + "learning_rate": 2.4559290163356446e-05, + "loss": 0.7435, + "step": 21100 + }, + { + "epoch": 1.67, + "learning_rate": 2.4544599835468328e-05, + "loss": 0.7967, + "step": 21110 + }, + { + "epoch": 1.68, + "learning_rate": 2.452990950758021e-05, + "loss": 0.7653, + "step": 21120 + }, + { + "epoch": 1.68, + "learning_rate": 2.451521917969209e-05, + "loss": 0.7723, + "step": 21130 + }, + { + "epoch": 1.68, + "learning_rate": 2.4500528851803972e-05, + "loss": 0.7502, + "step": 21140 + }, + { + "epoch": 1.68, + "learning_rate": 2.4485838523915854e-05, + "loss": 0.791, + "step": 21150 + }, + { + "epoch": 1.68, + "learning_rate": 2.447114819602774e-05, + "loss": 0.7339, + "step": 21160 + }, + { + "epoch": 1.68, + "learning_rate": 2.4456457868139617e-05, + "loss": 0.7428, + "step": 21170 + }, + { + "epoch": 1.68, + "learning_rate": 2.4441767540251502e-05, + "loss": 0.7268, + "step": 21180 + }, + { + "epoch": 1.68, + "learning_rate": 2.442707721236338e-05, + "loss": 0.7372, + "step": 21190 + }, + { + "epoch": 1.68, + "learning_rate": 2.4412386884475265e-05, + "loss": 0.7543, + "step": 21200 + }, + { + "epoch": 1.68, + "learning_rate": 2.4397696556587143e-05, + "loss": 0.7305, + "step": 21210 + }, + { + "epoch": 1.68, + "learning_rate": 2.4383006228699028e-05, + "loss": 0.7233, + "step": 21220 + }, + { + "epoch": 1.68, + "learning_rate": 2.4368315900810906e-05, + "loss": 0.7654, + "step": 21230 + }, + { + "epoch": 1.68, + "learning_rate": 2.435362557292279e-05, + "loss": 0.7509, + "step": 21240 + }, + { + "epoch": 1.69, + "learning_rate": 2.433893524503467e-05, + "loss": 0.6923, + "step": 21250 + }, + { + "epoch": 1.69, + "learning_rate": 2.432424491714655e-05, + "loss": 0.7136, + "step": 21260 + }, + { + "epoch": 1.69, + "learning_rate": 2.4309554589258435e-05, + "loss": 0.7432, + "step": 21270 + }, + { + "epoch": 1.69, + "learning_rate": 2.4294864261370313e-05, + "loss": 0.7059, + "step": 21280 + }, + { + "epoch": 1.69, + "learning_rate": 2.42801739334822e-05, + "loss": 0.745, + "step": 21290 + }, + { + "epoch": 1.69, + "learning_rate": 2.4265483605594076e-05, + "loss": 0.7444, + "step": 21300 + }, + { + "epoch": 1.69, + "learning_rate": 2.425079327770596e-05, + "loss": 0.6992, + "step": 21310 + }, + { + "epoch": 1.69, + "learning_rate": 2.423610294981784e-05, + "loss": 0.7564, + "step": 21320 + }, + { + "epoch": 1.69, + "learning_rate": 2.4221412621929724e-05, + "loss": 0.7685, + "step": 21330 + }, + { + "epoch": 1.69, + "learning_rate": 2.4206722294041602e-05, + "loss": 0.7601, + "step": 21340 + }, + { + "epoch": 1.69, + "learning_rate": 2.4192031966153487e-05, + "loss": 0.8118, + "step": 21350 + }, + { + "epoch": 1.69, + "learning_rate": 2.4177341638265365e-05, + "loss": 0.7625, + "step": 21360 + }, + { + "epoch": 1.7, + "learning_rate": 2.416265131037725e-05, + "loss": 0.7753, + "step": 21370 + }, + { + "epoch": 1.7, + "learning_rate": 2.414796098248913e-05, + "loss": 0.777, + "step": 21380 + }, + { + "epoch": 1.7, + "learning_rate": 2.4133270654601013e-05, + "loss": 0.7357, + "step": 21390 + }, + { + "epoch": 1.7, + "learning_rate": 2.4118580326712895e-05, + "loss": 0.7545, + "step": 21400 + }, + { + "epoch": 1.7, + "learning_rate": 2.4103889998824773e-05, + "loss": 0.817, + "step": 21410 + }, + { + "epoch": 1.7, + "learning_rate": 2.4089199670936658e-05, + "loss": 0.7843, + "step": 21420 + }, + { + "epoch": 1.7, + "learning_rate": 2.4074509343048536e-05, + "loss": 0.7765, + "step": 21430 + }, + { + "epoch": 1.7, + "learning_rate": 2.405981901516042e-05, + "loss": 0.745, + "step": 21440 + }, + { + "epoch": 1.7, + "learning_rate": 2.40451286872723e-05, + "loss": 0.78, + "step": 21450 + }, + { + "epoch": 1.7, + "learning_rate": 2.4030438359384184e-05, + "loss": 0.7487, + "step": 21460 + }, + { + "epoch": 1.7, + "learning_rate": 2.4015748031496062e-05, + "loss": 0.7386, + "step": 21470 + }, + { + "epoch": 1.7, + "learning_rate": 2.4001057703607947e-05, + "loss": 0.7609, + "step": 21480 + }, + { + "epoch": 1.7, + "learning_rate": 2.3986367375719825e-05, + "loss": 0.7655, + "step": 21490 + }, + { + "epoch": 1.71, + "learning_rate": 2.397167704783171e-05, + "loss": 0.7871, + "step": 21500 + }, + { + "epoch": 1.71, + "learning_rate": 2.395698671994359e-05, + "loss": 0.7278, + "step": 21510 + }, + { + "epoch": 1.71, + "learning_rate": 2.3942296392055473e-05, + "loss": 0.7575, + "step": 21520 + }, + { + "epoch": 1.71, + "learning_rate": 2.3927606064167354e-05, + "loss": 0.7761, + "step": 21530 + }, + { + "epoch": 1.71, + "learning_rate": 2.3912915736279236e-05, + "loss": 0.7547, + "step": 21540 + }, + { + "epoch": 1.71, + "learning_rate": 2.3898225408391117e-05, + "loss": 0.7736, + "step": 21550 + }, + { + "epoch": 1.71, + "learning_rate": 2.3883535080502996e-05, + "loss": 0.7484, + "step": 21560 + }, + { + "epoch": 1.71, + "learning_rate": 2.386884475261488e-05, + "loss": 0.7583, + "step": 21570 + }, + { + "epoch": 1.71, + "learning_rate": 2.385415442472676e-05, + "loss": 0.7136, + "step": 21580 + }, + { + "epoch": 1.71, + "learning_rate": 2.3839464096838643e-05, + "loss": 0.7599, + "step": 21590 + }, + { + "epoch": 1.71, + "learning_rate": 2.382477376895052e-05, + "loss": 0.7777, + "step": 21600 + }, + { + "epoch": 1.71, + "learning_rate": 2.3810083441062406e-05, + "loss": 0.7051, + "step": 21610 + }, + { + "epoch": 1.72, + "learning_rate": 2.3795393113174288e-05, + "loss": 0.701, + "step": 21620 + }, + { + "epoch": 1.72, + "learning_rate": 2.378070278528617e-05, + "loss": 0.7327, + "step": 21630 + }, + { + "epoch": 1.72, + "learning_rate": 2.376601245739805e-05, + "loss": 0.7947, + "step": 21640 + }, + { + "epoch": 1.72, + "learning_rate": 2.3751322129509933e-05, + "loss": 0.7019, + "step": 21650 + }, + { + "epoch": 1.72, + "learning_rate": 2.3736631801621814e-05, + "loss": 0.7618, + "step": 21660 + }, + { + "epoch": 1.72, + "learning_rate": 2.3721941473733696e-05, + "loss": 0.7998, + "step": 21670 + }, + { + "epoch": 1.72, + "learning_rate": 2.3707251145845577e-05, + "loss": 0.7234, + "step": 21680 + }, + { + "epoch": 1.72, + "learning_rate": 2.369256081795746e-05, + "loss": 0.7796, + "step": 21690 + }, + { + "epoch": 1.72, + "learning_rate": 2.367787049006934e-05, + "loss": 0.7569, + "step": 21700 + }, + { + "epoch": 1.72, + "learning_rate": 2.366318016218122e-05, + "loss": 0.7318, + "step": 21710 + }, + { + "epoch": 1.72, + "learning_rate": 2.3648489834293103e-05, + "loss": 0.7786, + "step": 21720 + }, + { + "epoch": 1.72, + "learning_rate": 2.363379950640498e-05, + "loss": 0.7494, + "step": 21730 + }, + { + "epoch": 1.72, + "learning_rate": 2.3619109178516866e-05, + "loss": 0.7786, + "step": 21740 + }, + { + "epoch": 1.73, + "learning_rate": 2.3604418850628748e-05, + "loss": 0.803, + "step": 21750 + }, + { + "epoch": 1.73, + "learning_rate": 2.358972852274063e-05, + "loss": 0.7237, + "step": 21760 + }, + { + "epoch": 1.73, + "learning_rate": 2.357503819485251e-05, + "loss": 0.6989, + "step": 21770 + }, + { + "epoch": 1.73, + "learning_rate": 2.3560347866964392e-05, + "loss": 0.7763, + "step": 21780 + }, + { + "epoch": 1.73, + "learning_rate": 2.3545657539076274e-05, + "loss": 0.7218, + "step": 21790 + }, + { + "epoch": 1.73, + "learning_rate": 2.3530967211188155e-05, + "loss": 0.7693, + "step": 21800 + }, + { + "epoch": 1.73, + "learning_rate": 2.3516276883300037e-05, + "loss": 0.7117, + "step": 21810 + }, + { + "epoch": 1.73, + "learning_rate": 2.3501586555411918e-05, + "loss": 0.7138, + "step": 21820 + }, + { + "epoch": 1.73, + "learning_rate": 2.34868962275238e-05, + "loss": 0.7924, + "step": 21830 + }, + { + "epoch": 1.73, + "learning_rate": 2.347220589963568e-05, + "loss": 0.8146, + "step": 21840 + }, + { + "epoch": 1.73, + "learning_rate": 2.3457515571747563e-05, + "loss": 0.7534, + "step": 21850 + }, + { + "epoch": 1.73, + "learning_rate": 2.3442825243859444e-05, + "loss": 0.7547, + "step": 21860 + }, + { + "epoch": 1.73, + "learning_rate": 2.3428134915971326e-05, + "loss": 0.669, + "step": 21870 + }, + { + "epoch": 1.74, + "learning_rate": 2.3413444588083207e-05, + "loss": 0.7528, + "step": 21880 + }, + { + "epoch": 1.74, + "learning_rate": 2.339875426019509e-05, + "loss": 0.747, + "step": 21890 + }, + { + "epoch": 1.74, + "learning_rate": 2.338406393230697e-05, + "loss": 0.781, + "step": 21900 + }, + { + "epoch": 1.74, + "learning_rate": 2.336937360441885e-05, + "loss": 0.774, + "step": 21910 + }, + { + "epoch": 1.74, + "learning_rate": 2.3354683276530733e-05, + "loss": 0.709, + "step": 21920 + }, + { + "epoch": 1.74, + "learning_rate": 2.3339992948642615e-05, + "loss": 0.7768, + "step": 21930 + }, + { + "epoch": 1.74, + "learning_rate": 2.3325302620754496e-05, + "loss": 0.7167, + "step": 21940 + }, + { + "epoch": 1.74, + "learning_rate": 2.3310612292866378e-05, + "loss": 0.726, + "step": 21950 + }, + { + "epoch": 1.74, + "learning_rate": 2.329592196497826e-05, + "loss": 0.7912, + "step": 21960 + }, + { + "epoch": 1.74, + "learning_rate": 2.328123163709014e-05, + "loss": 0.7495, + "step": 21970 + }, + { + "epoch": 1.74, + "learning_rate": 2.3266541309202022e-05, + "loss": 0.7236, + "step": 21980 + }, + { + "epoch": 1.74, + "learning_rate": 2.3251850981313904e-05, + "loss": 0.7508, + "step": 21990 + }, + { + "epoch": 1.75, + "learning_rate": 2.3237160653425785e-05, + "loss": 0.7474, + "step": 22000 + }, + { + "epoch": 1.75, + "learning_rate": 2.3222470325537667e-05, + "loss": 0.7764, + "step": 22010 + }, + { + "epoch": 1.75, + "learning_rate": 2.3207779997649548e-05, + "loss": 0.7712, + "step": 22020 + }, + { + "epoch": 1.75, + "learning_rate": 2.319308966976143e-05, + "loss": 0.7096, + "step": 22030 + }, + { + "epoch": 1.75, + "learning_rate": 2.317839934187331e-05, + "loss": 0.7428, + "step": 22040 + }, + { + "epoch": 1.75, + "learning_rate": 2.3163709013985193e-05, + "loss": 0.7168, + "step": 22050 + }, + { + "epoch": 1.75, + "learning_rate": 2.3149018686097074e-05, + "loss": 0.764, + "step": 22060 + }, + { + "epoch": 1.75, + "learning_rate": 2.3134328358208956e-05, + "loss": 0.7789, + "step": 22070 + }, + { + "epoch": 1.75, + "learning_rate": 2.3119638030320837e-05, + "loss": 0.7127, + "step": 22080 + }, + { + "epoch": 1.75, + "learning_rate": 2.310494770243272e-05, + "loss": 0.7171, + "step": 22090 + }, + { + "epoch": 1.75, + "learning_rate": 2.3090257374544604e-05, + "loss": 0.7676, + "step": 22100 + }, + { + "epoch": 1.75, + "learning_rate": 2.3075567046656482e-05, + "loss": 0.8151, + "step": 22110 + }, + { + "epoch": 1.75, + "learning_rate": 2.3060876718768367e-05, + "loss": 0.7795, + "step": 22120 + }, + { + "epoch": 1.76, + "learning_rate": 2.3046186390880245e-05, + "loss": 0.8254, + "step": 22130 + }, + { + "epoch": 1.76, + "learning_rate": 2.3031496062992126e-05, + "loss": 0.7501, + "step": 22140 + }, + { + "epoch": 1.76, + "learning_rate": 2.3016805735104008e-05, + "loss": 0.7965, + "step": 22150 + }, + { + "epoch": 1.76, + "learning_rate": 2.300211540721589e-05, + "loss": 0.7934, + "step": 22160 + }, + { + "epoch": 1.76, + "learning_rate": 2.298742507932777e-05, + "loss": 0.695, + "step": 22170 + }, + { + "epoch": 1.76, + "learning_rate": 2.2972734751439652e-05, + "loss": 0.7375, + "step": 22180 + }, + { + "epoch": 1.76, + "learning_rate": 2.2958044423551534e-05, + "loss": 0.7201, + "step": 22190 + }, + { + "epoch": 1.76, + "learning_rate": 2.2943354095663415e-05, + "loss": 0.7905, + "step": 22200 + }, + { + "epoch": 1.76, + "learning_rate": 2.29286637677753e-05, + "loss": 0.7746, + "step": 22210 + }, + { + "epoch": 1.76, + "learning_rate": 2.2913973439887178e-05, + "loss": 0.7793, + "step": 22220 + }, + { + "epoch": 1.76, + "learning_rate": 2.2899283111999063e-05, + "loss": 0.791, + "step": 22230 + }, + { + "epoch": 1.76, + "learning_rate": 2.288459278411094e-05, + "loss": 0.7018, + "step": 22240 + }, + { + "epoch": 1.76, + "learning_rate": 2.2869902456222826e-05, + "loss": 0.7488, + "step": 22250 + }, + { + "epoch": 1.77, + "learning_rate": 2.2855212128334704e-05, + "loss": 0.8065, + "step": 22260 + }, + { + "epoch": 1.77, + "learning_rate": 2.284052180044659e-05, + "loss": 0.7764, + "step": 22270 + }, + { + "epoch": 1.77, + "learning_rate": 2.2825831472558467e-05, + "loss": 0.7566, + "step": 22280 + }, + { + "epoch": 1.77, + "learning_rate": 2.281114114467035e-05, + "loss": 0.7466, + "step": 22290 + }, + { + "epoch": 1.77, + "learning_rate": 2.279645081678223e-05, + "loss": 0.7766, + "step": 22300 + }, + { + "epoch": 1.77, + "learning_rate": 2.2781760488894112e-05, + "loss": 0.7367, + "step": 22310 + }, + { + "epoch": 1.77, + "learning_rate": 2.2767070161005997e-05, + "loss": 0.7302, + "step": 22320 + }, + { + "epoch": 1.77, + "learning_rate": 2.2752379833117875e-05, + "loss": 0.7306, + "step": 22330 + }, + { + "epoch": 1.77, + "learning_rate": 2.273768950522976e-05, + "loss": 0.7258, + "step": 22340 + }, + { + "epoch": 1.77, + "learning_rate": 2.2722999177341638e-05, + "loss": 0.7593, + "step": 22350 + }, + { + "epoch": 1.77, + "learning_rate": 2.2708308849453523e-05, + "loss": 0.7034, + "step": 22360 + }, + { + "epoch": 1.77, + "learning_rate": 2.26936185215654e-05, + "loss": 0.7799, + "step": 22370 + }, + { + "epoch": 1.78, + "learning_rate": 2.2678928193677286e-05, + "loss": 0.7556, + "step": 22380 + }, + { + "epoch": 1.78, + "learning_rate": 2.2664237865789164e-05, + "loss": 0.7305, + "step": 22390 + }, + { + "epoch": 1.78, + "learning_rate": 2.264954753790105e-05, + "loss": 0.7621, + "step": 22400 + }, + { + "epoch": 1.78, + "learning_rate": 2.2634857210012927e-05, + "loss": 0.7069, + "step": 22410 + }, + { + "epoch": 1.78, + "learning_rate": 2.2620166882124812e-05, + "loss": 0.7472, + "step": 22420 + }, + { + "epoch": 1.78, + "learning_rate": 2.260547655423669e-05, + "loss": 0.7963, + "step": 22430 + }, + { + "epoch": 1.78, + "learning_rate": 2.2590786226348575e-05, + "loss": 0.7483, + "step": 22440 + }, + { + "epoch": 1.78, + "learning_rate": 2.2576095898460456e-05, + "loss": 0.7288, + "step": 22450 + }, + { + "epoch": 1.78, + "learning_rate": 2.2561405570572334e-05, + "loss": 0.7732, + "step": 22460 + }, + { + "epoch": 1.78, + "learning_rate": 2.254671524268422e-05, + "loss": 0.7369, + "step": 22470 + }, + { + "epoch": 1.78, + "learning_rate": 2.2532024914796097e-05, + "loss": 0.7411, + "step": 22480 + }, + { + "epoch": 1.78, + "learning_rate": 2.2517334586907982e-05, + "loss": 0.7241, + "step": 22490 + }, + { + "epoch": 1.78, + "learning_rate": 2.250264425901986e-05, + "loss": 0.7702, + "step": 22500 + }, + { + "epoch": 1.79, + "learning_rate": 2.2487953931131745e-05, + "loss": 0.761, + "step": 22510 + }, + { + "epoch": 1.79, + "learning_rate": 2.2473263603243623e-05, + "loss": 0.7797, + "step": 22520 + }, + { + "epoch": 1.79, + "learning_rate": 2.245857327535551e-05, + "loss": 0.7344, + "step": 22530 + }, + { + "epoch": 1.79, + "learning_rate": 2.2443882947467386e-05, + "loss": 0.7423, + "step": 22540 + }, + { + "epoch": 1.79, + "learning_rate": 2.242919261957927e-05, + "loss": 0.7547, + "step": 22550 + }, + { + "epoch": 1.79, + "learning_rate": 2.2414502291691153e-05, + "loss": 0.6623, + "step": 22560 + }, + { + "epoch": 1.79, + "learning_rate": 2.2399811963803034e-05, + "loss": 0.6756, + "step": 22570 + }, + { + "epoch": 1.79, + "learning_rate": 2.2385121635914916e-05, + "loss": 0.7307, + "step": 22580 + }, + { + "epoch": 1.79, + "learning_rate": 2.2370431308026797e-05, + "loss": 0.734, + "step": 22590 + }, + { + "epoch": 1.79, + "learning_rate": 2.235574098013868e-05, + "loss": 0.7696, + "step": 22600 + }, + { + "epoch": 1.79, + "learning_rate": 2.2341050652250557e-05, + "loss": 0.7712, + "step": 22610 + }, + { + "epoch": 1.79, + "learning_rate": 2.2326360324362442e-05, + "loss": 0.6981, + "step": 22620 + }, + { + "epoch": 1.8, + "learning_rate": 2.231166999647432e-05, + "loss": 0.7212, + "step": 22630 + }, + { + "epoch": 1.8, + "learning_rate": 2.2296979668586205e-05, + "loss": 0.7154, + "step": 22640 + }, + { + "epoch": 1.8, + "learning_rate": 2.2282289340698083e-05, + "loss": 0.736, + "step": 22650 + }, + { + "epoch": 1.8, + "learning_rate": 2.2267599012809968e-05, + "loss": 0.7812, + "step": 22660 + }, + { + "epoch": 1.8, + "learning_rate": 2.225290868492185e-05, + "loss": 0.7539, + "step": 22670 + }, + { + "epoch": 1.8, + "learning_rate": 2.223821835703373e-05, + "loss": 0.7378, + "step": 22680 + }, + { + "epoch": 1.8, + "learning_rate": 2.2223528029145612e-05, + "loss": 0.7328, + "step": 22690 + }, + { + "epoch": 1.8, + "learning_rate": 2.2208837701257494e-05, + "loss": 0.7561, + "step": 22700 + }, + { + "epoch": 1.8, + "learning_rate": 2.2194147373369375e-05, + "loss": 0.8516, + "step": 22710 + }, + { + "epoch": 1.8, + "learning_rate": 2.2179457045481257e-05, + "loss": 0.781, + "step": 22720 + }, + { + "epoch": 1.8, + "learning_rate": 2.216476671759314e-05, + "loss": 0.742, + "step": 22730 + }, + { + "epoch": 1.8, + "learning_rate": 2.215007638970502e-05, + "loss": 0.7365, + "step": 22740 + }, + { + "epoch": 1.8, + "learning_rate": 2.21353860618169e-05, + "loss": 0.7708, + "step": 22750 + }, + { + "epoch": 1.81, + "learning_rate": 2.212069573392878e-05, + "loss": 0.8052, + "step": 22760 + }, + { + "epoch": 1.81, + "learning_rate": 2.2106005406040664e-05, + "loss": 0.738, + "step": 22770 + }, + { + "epoch": 1.81, + "learning_rate": 2.2091315078152543e-05, + "loss": 0.7689, + "step": 22780 + }, + { + "epoch": 1.81, + "learning_rate": 2.2076624750264427e-05, + "loss": 0.7878, + "step": 22790 + }, + { + "epoch": 1.81, + "learning_rate": 2.206193442237631e-05, + "loss": 0.7762, + "step": 22800 + }, + { + "epoch": 1.81, + "learning_rate": 2.204724409448819e-05, + "loss": 0.7701, + "step": 22810 + }, + { + "epoch": 1.81, + "learning_rate": 2.2032553766600072e-05, + "loss": 0.725, + "step": 22820 + }, + { + "epoch": 1.81, + "learning_rate": 2.2017863438711953e-05, + "loss": 0.7369, + "step": 22830 + }, + { + "epoch": 1.81, + "learning_rate": 2.2003173110823835e-05, + "loss": 0.7514, + "step": 22840 + }, + { + "epoch": 1.81, + "learning_rate": 2.1988482782935717e-05, + "loss": 0.7482, + "step": 22850 + }, + { + "epoch": 1.81, + "learning_rate": 2.1973792455047598e-05, + "loss": 0.7404, + "step": 22860 + }, + { + "epoch": 1.81, + "learning_rate": 2.195910212715948e-05, + "loss": 0.781, + "step": 22870 + }, + { + "epoch": 1.81, + "learning_rate": 2.194441179927136e-05, + "loss": 0.7844, + "step": 22880 + }, + { + "epoch": 1.82, + "learning_rate": 2.1929721471383243e-05, + "loss": 0.7613, + "step": 22890 + }, + { + "epoch": 1.82, + "learning_rate": 2.1915031143495124e-05, + "loss": 0.716, + "step": 22900 + }, + { + "epoch": 1.82, + "learning_rate": 2.1900340815607006e-05, + "loss": 0.7478, + "step": 22910 + }, + { + "epoch": 1.82, + "learning_rate": 2.1885650487718887e-05, + "loss": 0.7587, + "step": 22920 + }, + { + "epoch": 1.82, + "learning_rate": 2.187096015983077e-05, + "loss": 0.7206, + "step": 22930 + }, + { + "epoch": 1.82, + "learning_rate": 2.185626983194265e-05, + "loss": 0.7219, + "step": 22940 + }, + { + "epoch": 1.82, + "learning_rate": 2.184157950405453e-05, + "loss": 0.7818, + "step": 22950 + }, + { + "epoch": 1.82, + "learning_rate": 2.1826889176166413e-05, + "loss": 0.7159, + "step": 22960 + }, + { + "epoch": 1.82, + "learning_rate": 2.1812198848278295e-05, + "loss": 0.642, + "step": 22970 + }, + { + "epoch": 1.82, + "learning_rate": 2.1797508520390176e-05, + "loss": 0.7979, + "step": 22980 + }, + { + "epoch": 1.82, + "learning_rate": 2.1782818192502058e-05, + "loss": 0.7587, + "step": 22990 + }, + { + "epoch": 1.82, + "learning_rate": 2.176812786461394e-05, + "loss": 0.7284, + "step": 23000 + }, + { + "epoch": 1.83, + "learning_rate": 2.175343753672582e-05, + "loss": 0.7886, + "step": 23010 + }, + { + "epoch": 1.83, + "learning_rate": 2.1738747208837702e-05, + "loss": 0.7265, + "step": 23020 + }, + { + "epoch": 1.83, + "learning_rate": 2.1724056880949584e-05, + "loss": 0.7995, + "step": 23030 + }, + { + "epoch": 1.83, + "learning_rate": 2.1709366553061465e-05, + "loss": 0.8178, + "step": 23040 + }, + { + "epoch": 1.83, + "learning_rate": 2.1694676225173347e-05, + "loss": 0.7415, + "step": 23050 + }, + { + "epoch": 1.83, + "learning_rate": 2.1679985897285228e-05, + "loss": 0.7467, + "step": 23060 + }, + { + "epoch": 1.83, + "learning_rate": 2.166529556939711e-05, + "loss": 0.734, + "step": 23070 + }, + { + "epoch": 1.83, + "learning_rate": 2.165060524150899e-05, + "loss": 0.7585, + "step": 23080 + }, + { + "epoch": 1.83, + "learning_rate": 2.1635914913620873e-05, + "loss": 0.741, + "step": 23090 + }, + { + "epoch": 1.83, + "learning_rate": 2.1621224585732754e-05, + "loss": 0.694, + "step": 23100 + }, + { + "epoch": 1.83, + "learning_rate": 2.1606534257844636e-05, + "loss": 0.717, + "step": 23110 + }, + { + "epoch": 1.83, + "learning_rate": 2.1591843929956517e-05, + "loss": 0.7422, + "step": 23120 + }, + { + "epoch": 1.83, + "learning_rate": 2.15771536020684e-05, + "loss": 0.7404, + "step": 23130 + }, + { + "epoch": 1.84, + "learning_rate": 2.156246327418028e-05, + "loss": 0.7338, + "step": 23140 + }, + { + "epoch": 1.84, + "learning_rate": 2.1547772946292165e-05, + "loss": 0.7783, + "step": 23150 + }, + { + "epoch": 1.84, + "learning_rate": 2.1533082618404043e-05, + "loss": 0.7808, + "step": 23160 + }, + { + "epoch": 1.84, + "learning_rate": 2.1518392290515925e-05, + "loss": 0.7718, + "step": 23170 + }, + { + "epoch": 1.84, + "learning_rate": 2.1503701962627806e-05, + "loss": 0.7592, + "step": 23180 + }, + { + "epoch": 1.84, + "learning_rate": 2.1489011634739688e-05, + "loss": 0.7402, + "step": 23190 + }, + { + "epoch": 1.84, + "learning_rate": 2.147432130685157e-05, + "loss": 0.7244, + "step": 23200 + }, + { + "epoch": 1.84, + "learning_rate": 2.145963097896345e-05, + "loss": 0.7353, + "step": 23210 + }, + { + "epoch": 1.84, + "learning_rate": 2.1444940651075332e-05, + "loss": 0.7237, + "step": 23220 + }, + { + "epoch": 1.84, + "learning_rate": 2.1430250323187214e-05, + "loss": 0.751, + "step": 23230 + }, + { + "epoch": 1.84, + "learning_rate": 2.1415559995299095e-05, + "loss": 0.714, + "step": 23240 + }, + { + "epoch": 1.84, + "learning_rate": 2.1400869667410977e-05, + "loss": 0.775, + "step": 23250 + }, + { + "epoch": 1.85, + "learning_rate": 2.138617933952286e-05, + "loss": 0.7381, + "step": 23260 + }, + { + "epoch": 1.85, + "learning_rate": 2.137148901163474e-05, + "loss": 0.7317, + "step": 23270 + }, + { + "epoch": 1.85, + "learning_rate": 2.1356798683746625e-05, + "loss": 0.7253, + "step": 23280 + }, + { + "epoch": 1.85, + "learning_rate": 2.1342108355858503e-05, + "loss": 0.754, + "step": 23290 + }, + { + "epoch": 1.85, + "learning_rate": 2.1327418027970388e-05, + "loss": 0.7491, + "step": 23300 + }, + { + "epoch": 1.85, + "learning_rate": 2.1312727700082266e-05, + "loss": 0.7975, + "step": 23310 + }, + { + "epoch": 1.85, + "learning_rate": 2.129803737219415e-05, + "loss": 0.7298, + "step": 23320 + }, + { + "epoch": 1.85, + "learning_rate": 2.128334704430603e-05, + "loss": 0.7368, + "step": 23330 + }, + { + "epoch": 1.85, + "learning_rate": 2.126865671641791e-05, + "loss": 0.7765, + "step": 23340 + }, + { + "epoch": 1.85, + "learning_rate": 2.1253966388529792e-05, + "loss": 0.7702, + "step": 23350 + }, + { + "epoch": 1.85, + "learning_rate": 2.1239276060641673e-05, + "loss": 0.6927, + "step": 23360 + }, + { + "epoch": 1.85, + "learning_rate": 2.1224585732753558e-05, + "loss": 0.7587, + "step": 23370 + }, + { + "epoch": 1.85, + "learning_rate": 2.1209895404865436e-05, + "loss": 0.7954, + "step": 23380 + }, + { + "epoch": 1.86, + "learning_rate": 2.119520507697732e-05, + "loss": 0.7976, + "step": 23390 + }, + { + "epoch": 1.86, + "learning_rate": 2.11805147490892e-05, + "loss": 0.8043, + "step": 23400 + }, + { + "epoch": 1.86, + "learning_rate": 2.1165824421201084e-05, + "loss": 0.7391, + "step": 23410 + }, + { + "epoch": 1.86, + "learning_rate": 2.1151134093312962e-05, + "loss": 0.7123, + "step": 23420 + }, + { + "epoch": 1.86, + "learning_rate": 2.1136443765424847e-05, + "loss": 0.7247, + "step": 23430 + }, + { + "epoch": 1.86, + "learning_rate": 2.1121753437536725e-05, + "loss": 0.7241, + "step": 23440 + }, + { + "epoch": 1.86, + "learning_rate": 2.110706310964861e-05, + "loss": 0.7536, + "step": 23450 + }, + { + "epoch": 1.86, + "learning_rate": 2.109237278176049e-05, + "loss": 0.7464, + "step": 23460 + }, + { + "epoch": 1.86, + "learning_rate": 2.1077682453872373e-05, + "loss": 0.8023, + "step": 23470 + }, + { + "epoch": 1.86, + "learning_rate": 2.106299212598425e-05, + "loss": 0.7241, + "step": 23480 + }, + { + "epoch": 1.86, + "learning_rate": 2.1048301798096133e-05, + "loss": 0.7239, + "step": 23490 + }, + { + "epoch": 1.86, + "learning_rate": 2.1033611470208018e-05, + "loss": 0.7555, + "step": 23500 + }, + { + "epoch": 1.86, + "learning_rate": 2.1018921142319896e-05, + "loss": 0.7315, + "step": 23510 + }, + { + "epoch": 1.87, + "learning_rate": 2.100423081443178e-05, + "loss": 0.7728, + "step": 23520 + }, + { + "epoch": 1.87, + "learning_rate": 2.098954048654366e-05, + "loss": 0.6956, + "step": 23530 + }, + { + "epoch": 1.87, + "learning_rate": 2.0974850158655544e-05, + "loss": 0.7548, + "step": 23540 + }, + { + "epoch": 1.87, + "learning_rate": 2.0960159830767422e-05, + "loss": 0.7445, + "step": 23550 + }, + { + "epoch": 1.87, + "learning_rate": 2.0945469502879307e-05, + "loss": 0.7388, + "step": 23560 + }, + { + "epoch": 1.87, + "learning_rate": 2.0930779174991185e-05, + "loss": 0.7378, + "step": 23570 + }, + { + "epoch": 1.87, + "learning_rate": 2.091608884710307e-05, + "loss": 0.7234, + "step": 23580 + }, + { + "epoch": 1.87, + "learning_rate": 2.0901398519214948e-05, + "loss": 0.755, + "step": 23590 + }, + { + "epoch": 1.87, + "learning_rate": 2.0886708191326833e-05, + "loss": 0.7901, + "step": 23600 + }, + { + "epoch": 1.87, + "learning_rate": 2.0872017863438714e-05, + "loss": 0.7384, + "step": 23610 + }, + { + "epoch": 1.87, + "learning_rate": 2.0857327535550596e-05, + "loss": 0.7426, + "step": 23620 + }, + { + "epoch": 1.87, + "learning_rate": 2.0842637207662477e-05, + "loss": 0.7622, + "step": 23630 + }, + { + "epoch": 1.88, + "learning_rate": 2.082794687977436e-05, + "loss": 0.7197, + "step": 23640 + }, + { + "epoch": 1.88, + "learning_rate": 2.081325655188624e-05, + "loss": 0.7517, + "step": 23650 + }, + { + "epoch": 1.88, + "learning_rate": 2.079856622399812e-05, + "loss": 0.6972, + "step": 23660 + }, + { + "epoch": 1.88, + "learning_rate": 2.0783875896110003e-05, + "loss": 0.7724, + "step": 23670 + }, + { + "epoch": 1.88, + "learning_rate": 2.076918556822188e-05, + "loss": 0.6833, + "step": 23680 + }, + { + "epoch": 1.88, + "learning_rate": 2.0754495240333766e-05, + "loss": 0.761, + "step": 23690 + }, + { + "epoch": 1.88, + "learning_rate": 2.0739804912445644e-05, + "loss": 0.7525, + "step": 23700 + }, + { + "epoch": 1.88, + "learning_rate": 2.072511458455753e-05, + "loss": 0.7531, + "step": 23710 + }, + { + "epoch": 1.88, + "learning_rate": 2.071042425666941e-05, + "loss": 0.756, + "step": 23720 + }, + { + "epoch": 1.88, + "learning_rate": 2.0695733928781292e-05, + "loss": 0.7619, + "step": 23730 + }, + { + "epoch": 1.88, + "learning_rate": 2.0681043600893174e-05, + "loss": 0.7509, + "step": 23740 + }, + { + "epoch": 1.88, + "learning_rate": 2.0666353273005055e-05, + "loss": 0.7011, + "step": 23750 + }, + { + "epoch": 1.88, + "learning_rate": 2.0651662945116937e-05, + "loss": 0.7592, + "step": 23760 + }, + { + "epoch": 1.89, + "learning_rate": 2.063697261722882e-05, + "loss": 0.7454, + "step": 23770 + }, + { + "epoch": 1.89, + "learning_rate": 2.06222822893407e-05, + "loss": 0.7716, + "step": 23780 + }, + { + "epoch": 1.89, + "learning_rate": 2.060759196145258e-05, + "loss": 0.7074, + "step": 23790 + }, + { + "epoch": 1.89, + "learning_rate": 2.0592901633564463e-05, + "loss": 0.7232, + "step": 23800 + }, + { + "epoch": 1.89, + "learning_rate": 2.057821130567634e-05, + "loss": 0.7793, + "step": 23810 + }, + { + "epoch": 1.89, + "learning_rate": 2.0563520977788226e-05, + "loss": 0.7668, + "step": 23820 + }, + { + "epoch": 1.89, + "learning_rate": 2.0548830649900104e-05, + "loss": 0.7506, + "step": 23830 + }, + { + "epoch": 1.89, + "learning_rate": 2.053414032201199e-05, + "loss": 0.7564, + "step": 23840 + }, + { + "epoch": 1.89, + "learning_rate": 2.051944999412387e-05, + "loss": 0.7538, + "step": 23850 + }, + { + "epoch": 1.89, + "learning_rate": 2.0504759666235752e-05, + "loss": 0.6667, + "step": 23860 + }, + { + "epoch": 1.89, + "learning_rate": 2.0490069338347633e-05, + "loss": 0.7474, + "step": 23870 + }, + { + "epoch": 1.89, + "learning_rate": 2.0475379010459515e-05, + "loss": 0.837, + "step": 23880 + }, + { + "epoch": 1.9, + "learning_rate": 2.0460688682571396e-05, + "loss": 0.7505, + "step": 23890 + }, + { + "epoch": 1.9, + "learning_rate": 2.0445998354683278e-05, + "loss": 0.7782, + "step": 23900 + }, + { + "epoch": 1.9, + "learning_rate": 2.043130802679516e-05, + "loss": 0.7627, + "step": 23910 + }, + { + "epoch": 1.9, + "learning_rate": 2.041661769890704e-05, + "loss": 0.808, + "step": 23920 + }, + { + "epoch": 1.9, + "learning_rate": 2.0401927371018922e-05, + "loss": 0.7724, + "step": 23930 + }, + { + "epoch": 1.9, + "learning_rate": 2.0387237043130804e-05, + "loss": 0.7256, + "step": 23940 + }, + { + "epoch": 1.9, + "learning_rate": 2.0372546715242685e-05, + "loss": 0.7131, + "step": 23950 + }, + { + "epoch": 1.9, + "learning_rate": 2.0357856387354567e-05, + "loss": 0.761, + "step": 23960 + }, + { + "epoch": 1.9, + "learning_rate": 2.034316605946645e-05, + "loss": 0.7492, + "step": 23970 + }, + { + "epoch": 1.9, + "learning_rate": 2.032847573157833e-05, + "loss": 0.7954, + "step": 23980 + }, + { + "epoch": 1.9, + "learning_rate": 2.031378540369021e-05, + "loss": 0.7113, + "step": 23990 + }, + { + "epoch": 1.9, + "learning_rate": 2.0299095075802093e-05, + "loss": 0.7715, + "step": 24000 + }, + { + "epoch": 1.9, + "learning_rate": 2.0284404747913974e-05, + "loss": 0.7499, + "step": 24010 + }, + { + "epoch": 1.91, + "learning_rate": 2.0269714420025856e-05, + "loss": 0.7356, + "step": 24020 + }, + { + "epoch": 1.91, + "learning_rate": 2.0255024092137737e-05, + "loss": 0.6597, + "step": 24030 + }, + { + "epoch": 1.91, + "learning_rate": 2.024033376424962e-05, + "loss": 0.6806, + "step": 24040 + }, + { + "epoch": 1.91, + "learning_rate": 2.02256434363615e-05, + "loss": 0.7257, + "step": 24050 + }, + { + "epoch": 1.91, + "learning_rate": 2.0210953108473382e-05, + "loss": 0.7742, + "step": 24060 + }, + { + "epoch": 1.91, + "learning_rate": 2.0196262780585264e-05, + "loss": 0.7631, + "step": 24070 + }, + { + "epoch": 1.91, + "learning_rate": 2.0181572452697145e-05, + "loss": 0.7722, + "step": 24080 + }, + { + "epoch": 1.91, + "learning_rate": 2.0166882124809027e-05, + "loss": 0.7297, + "step": 24090 + }, + { + "epoch": 1.91, + "learning_rate": 2.0152191796920908e-05, + "loss": 0.7432, + "step": 24100 + }, + { + "epoch": 1.91, + "learning_rate": 2.013750146903279e-05, + "loss": 0.7492, + "step": 24110 + }, + { + "epoch": 1.91, + "learning_rate": 2.012281114114467e-05, + "loss": 0.7254, + "step": 24120 + }, + { + "epoch": 1.91, + "learning_rate": 2.0108120813256553e-05, + "loss": 0.7922, + "step": 24130 + }, + { + "epoch": 1.91, + "learning_rate": 2.0093430485368434e-05, + "loss": 0.7433, + "step": 24140 + }, + { + "epoch": 1.92, + "learning_rate": 2.0078740157480316e-05, + "loss": 0.7108, + "step": 24150 + }, + { + "epoch": 1.92, + "learning_rate": 2.0064049829592197e-05, + "loss": 0.7192, + "step": 24160 + }, + { + "epoch": 1.92, + "learning_rate": 2.004935950170408e-05, + "loss": 0.7975, + "step": 24170 + }, + { + "epoch": 1.92, + "learning_rate": 2.003466917381596e-05, + "loss": 0.7285, + "step": 24180 + }, + { + "epoch": 1.92, + "learning_rate": 2.001997884592784e-05, + "loss": 0.7278, + "step": 24190 + }, + { + "epoch": 1.92, + "learning_rate": 2.0005288518039726e-05, + "loss": 0.7113, + "step": 24200 + }, + { + "epoch": 1.92, + "learning_rate": 1.9990598190151605e-05, + "loss": 0.6924, + "step": 24210 + }, + { + "epoch": 1.92, + "learning_rate": 1.9975907862263486e-05, + "loss": 0.7477, + "step": 24220 + }, + { + "epoch": 1.92, + "learning_rate": 1.9961217534375368e-05, + "loss": 0.6984, + "step": 24230 + }, + { + "epoch": 1.92, + "learning_rate": 1.994652720648725e-05, + "loss": 0.7312, + "step": 24240 + }, + { + "epoch": 1.92, + "learning_rate": 1.993183687859913e-05, + "loss": 0.7211, + "step": 24250 + }, + { + "epoch": 1.92, + "learning_rate": 1.9917146550711012e-05, + "loss": 0.749, + "step": 24260 + }, + { + "epoch": 1.93, + "learning_rate": 1.9902456222822894e-05, + "loss": 0.7339, + "step": 24270 + }, + { + "epoch": 1.93, + "learning_rate": 1.9887765894934775e-05, + "loss": 0.7177, + "step": 24280 + }, + { + "epoch": 1.93, + "learning_rate": 1.9873075567046657e-05, + "loss": 0.7569, + "step": 24290 + }, + { + "epoch": 1.93, + "learning_rate": 1.9858385239158538e-05, + "loss": 0.7442, + "step": 24300 + }, + { + "epoch": 1.93, + "learning_rate": 1.9843694911270423e-05, + "loss": 0.7189, + "step": 24310 + }, + { + "epoch": 1.93, + "learning_rate": 1.98290045833823e-05, + "loss": 0.7984, + "step": 24320 + }, + { + "epoch": 1.93, + "learning_rate": 1.9814314255494186e-05, + "loss": 0.7517, + "step": 24330 + }, + { + "epoch": 1.93, + "learning_rate": 1.9799623927606064e-05, + "loss": 0.7581, + "step": 24340 + }, + { + "epoch": 1.93, + "learning_rate": 1.978493359971795e-05, + "loss": 0.7527, + "step": 24350 + }, + { + "epoch": 1.93, + "learning_rate": 1.9770243271829827e-05, + "loss": 0.795, + "step": 24360 + }, + { + "epoch": 1.93, + "learning_rate": 1.975555294394171e-05, + "loss": 0.6981, + "step": 24370 + }, + { + "epoch": 1.93, + "learning_rate": 1.974086261605359e-05, + "loss": 0.7304, + "step": 24380 + }, + { + "epoch": 1.93, + "learning_rate": 1.972617228816547e-05, + "loss": 0.7429, + "step": 24390 + }, + { + "epoch": 1.94, + "learning_rate": 1.9711481960277353e-05, + "loss": 0.7742, + "step": 24400 + }, + { + "epoch": 1.94, + "learning_rate": 1.9696791632389235e-05, + "loss": 0.7648, + "step": 24410 + }, + { + "epoch": 1.94, + "learning_rate": 1.968210130450112e-05, + "loss": 0.7597, + "step": 24420 + }, + { + "epoch": 1.94, + "learning_rate": 1.9667410976612998e-05, + "loss": 0.7414, + "step": 24430 + }, + { + "epoch": 1.94, + "learning_rate": 1.9652720648724883e-05, + "loss": 0.7717, + "step": 24440 + }, + { + "epoch": 1.94, + "learning_rate": 1.963803032083676e-05, + "loss": 0.736, + "step": 24450 + }, + { + "epoch": 1.94, + "learning_rate": 1.9623339992948646e-05, + "loss": 0.7485, + "step": 24460 + }, + { + "epoch": 1.94, + "learning_rate": 1.9608649665060524e-05, + "loss": 0.7086, + "step": 24470 + }, + { + "epoch": 1.94, + "learning_rate": 1.959395933717241e-05, + "loss": 0.7554, + "step": 24480 + }, + { + "epoch": 1.94, + "learning_rate": 1.9579269009284287e-05, + "loss": 0.7985, + "step": 24490 + }, + { + "epoch": 1.94, + "learning_rate": 1.956457868139617e-05, + "loss": 0.7521, + "step": 24500 + }, + { + "epoch": 1.94, + "learning_rate": 1.954988835350805e-05, + "loss": 0.7326, + "step": 24510 + }, + { + "epoch": 1.95, + "learning_rate": 1.9535198025619935e-05, + "loss": 0.7698, + "step": 24520 + }, + { + "epoch": 1.95, + "learning_rate": 1.9520507697731813e-05, + "loss": 0.7959, + "step": 24530 + }, + { + "epoch": 1.95, + "learning_rate": 1.9505817369843694e-05, + "loss": 0.6924, + "step": 24540 + }, + { + "epoch": 1.95, + "learning_rate": 1.949112704195558e-05, + "loss": 0.7068, + "step": 24550 + }, + { + "epoch": 1.95, + "learning_rate": 1.9476436714067457e-05, + "loss": 0.7808, + "step": 24560 + }, + { + "epoch": 1.95, + "learning_rate": 1.9461746386179342e-05, + "loss": 0.722, + "step": 24570 + }, + { + "epoch": 1.95, + "learning_rate": 1.944705605829122e-05, + "loss": 0.7731, + "step": 24580 + }, + { + "epoch": 1.95, + "learning_rate": 1.9432365730403105e-05, + "loss": 0.7289, + "step": 24590 + }, + { + "epoch": 1.95, + "learning_rate": 1.9417675402514983e-05, + "loss": 0.6736, + "step": 24600 + }, + { + "epoch": 1.95, + "learning_rate": 1.9402985074626868e-05, + "loss": 0.7395, + "step": 24610 + }, + { + "epoch": 1.95, + "learning_rate": 1.9388294746738746e-05, + "loss": 0.7461, + "step": 24620 + }, + { + "epoch": 1.95, + "learning_rate": 1.937360441885063e-05, + "loss": 0.702, + "step": 24630 + }, + { + "epoch": 1.95, + "learning_rate": 1.935891409096251e-05, + "loss": 0.7538, + "step": 24640 + }, + { + "epoch": 1.96, + "learning_rate": 1.9344223763074394e-05, + "loss": 0.7514, + "step": 24650 + }, + { + "epoch": 1.96, + "learning_rate": 1.9329533435186276e-05, + "loss": 0.7606, + "step": 24660 + }, + { + "epoch": 1.96, + "learning_rate": 1.9314843107298157e-05, + "loss": 0.7736, + "step": 24670 + }, + { + "epoch": 1.96, + "learning_rate": 1.930015277941004e-05, + "loss": 0.7628, + "step": 24680 + }, + { + "epoch": 1.96, + "learning_rate": 1.9285462451521917e-05, + "loss": 0.7286, + "step": 24690 + }, + { + "epoch": 1.96, + "learning_rate": 1.9270772123633802e-05, + "loss": 0.7117, + "step": 24700 + }, + { + "epoch": 1.96, + "learning_rate": 1.925608179574568e-05, + "loss": 0.7567, + "step": 24710 + }, + { + "epoch": 1.96, + "learning_rate": 1.9241391467857565e-05, + "loss": 0.7558, + "step": 24720 + }, + { + "epoch": 1.96, + "learning_rate": 1.9226701139969443e-05, + "loss": 0.7552, + "step": 24730 + }, + { + "epoch": 1.96, + "learning_rate": 1.9212010812081328e-05, + "loss": 0.8204, + "step": 24740 + }, + { + "epoch": 1.96, + "learning_rate": 1.9197320484193206e-05, + "loss": 0.7388, + "step": 24750 + }, + { + "epoch": 1.96, + "learning_rate": 1.918263015630509e-05, + "loss": 0.7339, + "step": 24760 + }, + { + "epoch": 1.96, + "learning_rate": 1.9167939828416972e-05, + "loss": 0.7448, + "step": 24770 + }, + { + "epoch": 1.97, + "learning_rate": 1.9153249500528854e-05, + "loss": 0.7077, + "step": 24780 + }, + { + "epoch": 1.97, + "learning_rate": 1.9138559172640735e-05, + "loss": 0.7525, + "step": 24790 + }, + { + "epoch": 1.97, + "learning_rate": 1.9123868844752617e-05, + "loss": 0.7457, + "step": 24800 + }, + { + "epoch": 1.97, + "learning_rate": 1.9109178516864498e-05, + "loss": 0.7877, + "step": 24810 + }, + { + "epoch": 1.97, + "learning_rate": 1.909448818897638e-05, + "loss": 0.7263, + "step": 24820 + }, + { + "epoch": 1.97, + "learning_rate": 1.907979786108826e-05, + "loss": 0.772, + "step": 24830 + }, + { + "epoch": 1.97, + "learning_rate": 1.9065107533200143e-05, + "loss": 0.7468, + "step": 24840 + }, + { + "epoch": 1.97, + "learning_rate": 1.9050417205312024e-05, + "loss": 0.7771, + "step": 24850 + }, + { + "epoch": 1.97, + "learning_rate": 1.9035726877423902e-05, + "loss": 0.7711, + "step": 24860 + }, + { + "epoch": 1.97, + "learning_rate": 1.9021036549535787e-05, + "loss": 0.692, + "step": 24870 + }, + { + "epoch": 1.97, + "learning_rate": 1.9006346221647665e-05, + "loss": 0.7428, + "step": 24880 + }, + { + "epoch": 1.97, + "learning_rate": 1.899165589375955e-05, + "loss": 0.7184, + "step": 24890 + }, + { + "epoch": 1.98, + "learning_rate": 1.8976965565871432e-05, + "loss": 0.6927, + "step": 24900 + }, + { + "epoch": 1.98, + "learning_rate": 1.8962275237983313e-05, + "loss": 0.7689, + "step": 24910 + }, + { + "epoch": 1.98, + "learning_rate": 1.8947584910095195e-05, + "loss": 0.6945, + "step": 24920 + }, + { + "epoch": 1.98, + "learning_rate": 1.8932894582207076e-05, + "loss": 0.7541, + "step": 24930 + }, + { + "epoch": 1.98, + "learning_rate": 1.8918204254318958e-05, + "loss": 0.768, + "step": 24940 + }, + { + "epoch": 1.98, + "learning_rate": 1.890351392643084e-05, + "loss": 0.7086, + "step": 24950 + }, + { + "epoch": 1.98, + "learning_rate": 1.888882359854272e-05, + "loss": 0.736, + "step": 24960 + }, + { + "epoch": 1.98, + "learning_rate": 1.8874133270654602e-05, + "loss": 0.7154, + "step": 24970 + }, + { + "epoch": 1.98, + "learning_rate": 1.8859442942766484e-05, + "loss": 0.7834, + "step": 24980 + }, + { + "epoch": 1.98, + "learning_rate": 1.8844752614878365e-05, + "loss": 0.742, + "step": 24990 + }, + { + "epoch": 1.98, + "learning_rate": 1.8830062286990247e-05, + "loss": 0.7802, + "step": 25000 + }, + { + "epoch": 1.98, + "learning_rate": 1.881537195910213e-05, + "loss": 0.8041, + "step": 25010 + }, + { + "epoch": 1.98, + "learning_rate": 1.880068163121401e-05, + "loss": 0.7574, + "step": 25020 + }, + { + "epoch": 1.99, + "learning_rate": 1.878599130332589e-05, + "loss": 0.7585, + "step": 25030 + }, + { + "epoch": 1.99, + "learning_rate": 1.8771300975437773e-05, + "loss": 0.7909, + "step": 25040 + }, + { + "epoch": 1.99, + "learning_rate": 1.8756610647549654e-05, + "loss": 0.7227, + "step": 25050 + }, + { + "epoch": 1.99, + "learning_rate": 1.8741920319661536e-05, + "loss": 0.7632, + "step": 25060 + }, + { + "epoch": 1.99, + "learning_rate": 1.8727229991773417e-05, + "loss": 0.7909, + "step": 25070 + }, + { + "epoch": 1.99, + "learning_rate": 1.87125396638853e-05, + "loss": 0.7645, + "step": 25080 + }, + { + "epoch": 1.99, + "learning_rate": 1.869784933599718e-05, + "loss": 0.7515, + "step": 25090 + }, + { + "epoch": 1.99, + "learning_rate": 1.8683159008109062e-05, + "loss": 0.6884, + "step": 25100 + }, + { + "epoch": 1.99, + "learning_rate": 1.8668468680220943e-05, + "loss": 0.7236, + "step": 25110 + }, + { + "epoch": 1.99, + "learning_rate": 1.8653778352332825e-05, + "loss": 0.7562, + "step": 25120 + }, + { + "epoch": 1.99, + "learning_rate": 1.8639088024444706e-05, + "loss": 0.7531, + "step": 25130 + }, + { + "epoch": 1.99, + "learning_rate": 1.8624397696556588e-05, + "loss": 0.7865, + "step": 25140 + }, + { + "epoch": 2.0, + "learning_rate": 1.860970736866847e-05, + "loss": 0.7078, + "step": 25150 + }, + { + "epoch": 2.0, + "learning_rate": 1.859501704078035e-05, + "loss": 0.7941, + "step": 25160 + }, + { + "epoch": 2.0, + "learning_rate": 1.8580326712892232e-05, + "loss": 0.7385, + "step": 25170 + }, + { + "epoch": 2.0, + "learning_rate": 1.8565636385004114e-05, + "loss": 0.7125, + "step": 25180 + }, + { + "epoch": 2.0, + "learning_rate": 1.8550946057115995e-05, + "loss": 0.7301, + "step": 25190 + }, + { + "epoch": 2.0, + "learning_rate": 1.8536255729227877e-05, + "loss": 0.7622, + "step": 25200 + }, + { + "epoch": 2.0, + "learning_rate": 1.852156540133976e-05, + "loss": 0.7312, + "step": 25210 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.8027232806285409, + "eval_loss": 0.7587032318115234, + "eval_runtime": 2003.038, + "eval_samples_per_second": 402.799, + "eval_steps_per_second": 6.294, + "step": 25212 + }, + { + "epoch": 2.0, + "learning_rate": 1.850687507345164e-05, + "loss": 0.7423, + "step": 25220 + }, + { + "epoch": 2.0, + "learning_rate": 1.849218474556352e-05, + "loss": 0.6582, + "step": 25230 + }, + { + "epoch": 2.0, + "learning_rate": 1.8477494417675403e-05, + "loss": 0.6851, + "step": 25240 + }, + { + "epoch": 2.0, + "learning_rate": 1.8462804089787284e-05, + "loss": 0.6685, + "step": 25250 + }, + { + "epoch": 2.0, + "learning_rate": 1.8448113761899166e-05, + "loss": 0.6851, + "step": 25260 + }, + { + "epoch": 2.0, + "learning_rate": 1.8433423434011048e-05, + "loss": 0.6544, + "step": 25270 + }, + { + "epoch": 2.01, + "learning_rate": 1.841873310612293e-05, + "loss": 0.6725, + "step": 25280 + }, + { + "epoch": 2.01, + "learning_rate": 1.840404277823481e-05, + "loss": 0.6471, + "step": 25290 + }, + { + "epoch": 2.01, + "learning_rate": 1.8389352450346692e-05, + "loss": 0.6442, + "step": 25300 + }, + { + "epoch": 2.01, + "learning_rate": 1.8374662122458574e-05, + "loss": 0.6527, + "step": 25310 + }, + { + "epoch": 2.01, + "learning_rate": 1.8359971794570455e-05, + "loss": 0.7022, + "step": 25320 + }, + { + "epoch": 2.01, + "learning_rate": 1.8345281466682337e-05, + "loss": 0.6761, + "step": 25330 + }, + { + "epoch": 2.01, + "learning_rate": 1.8330591138794218e-05, + "loss": 0.708, + "step": 25340 + }, + { + "epoch": 2.01, + "learning_rate": 1.83159008109061e-05, + "loss": 0.6753, + "step": 25350 + }, + { + "epoch": 2.01, + "learning_rate": 1.8301210483017984e-05, + "loss": 0.6397, + "step": 25360 + }, + { + "epoch": 2.01, + "learning_rate": 1.8286520155129863e-05, + "loss": 0.6234, + "step": 25370 + }, + { + "epoch": 2.01, + "learning_rate": 1.8271829827241747e-05, + "loss": 0.7162, + "step": 25380 + }, + { + "epoch": 2.01, + "learning_rate": 1.8257139499353626e-05, + "loss": 0.6155, + "step": 25390 + }, + { + "epoch": 2.01, + "learning_rate": 1.824244917146551e-05, + "loss": 0.6602, + "step": 25400 + }, + { + "epoch": 2.02, + "learning_rate": 1.822775884357739e-05, + "loss": 0.6559, + "step": 25410 + }, + { + "epoch": 2.02, + "learning_rate": 1.821306851568927e-05, + "loss": 0.6651, + "step": 25420 + }, + { + "epoch": 2.02, + "learning_rate": 1.819837818780115e-05, + "loss": 0.6255, + "step": 25430 + }, + { + "epoch": 2.02, + "learning_rate": 1.8183687859913033e-05, + "loss": 0.6328, + "step": 25440 + }, + { + "epoch": 2.02, + "learning_rate": 1.8168997532024915e-05, + "loss": 0.6655, + "step": 25450 + }, + { + "epoch": 2.02, + "learning_rate": 1.8154307204136796e-05, + "loss": 0.6264, + "step": 25460 + }, + { + "epoch": 2.02, + "learning_rate": 1.813961687624868e-05, + "loss": 0.66, + "step": 25470 + }, + { + "epoch": 2.02, + "learning_rate": 1.812492654836056e-05, + "loss": 0.6738, + "step": 25480 + }, + { + "epoch": 2.02, + "learning_rate": 1.8110236220472444e-05, + "loss": 0.6672, + "step": 25490 + }, + { + "epoch": 2.02, + "learning_rate": 1.8095545892584322e-05, + "loss": 0.6506, + "step": 25500 + }, + { + "epoch": 2.02, + "learning_rate": 1.8080855564696207e-05, + "loss": 0.6093, + "step": 25510 + }, + { + "epoch": 2.02, + "learning_rate": 1.8066165236808085e-05, + "loss": 0.7344, + "step": 25520 + }, + { + "epoch": 2.03, + "learning_rate": 1.805147490891997e-05, + "loss": 0.6605, + "step": 25530 + }, + { + "epoch": 2.03, + "learning_rate": 1.8036784581031848e-05, + "loss": 0.668, + "step": 25540 + }, + { + "epoch": 2.03, + "learning_rate": 1.8022094253143733e-05, + "loss": 0.685, + "step": 25550 + }, + { + "epoch": 2.03, + "learning_rate": 1.800740392525561e-05, + "loss": 0.6414, + "step": 25560 + }, + { + "epoch": 2.03, + "learning_rate": 1.7992713597367493e-05, + "loss": 0.6526, + "step": 25570 + }, + { + "epoch": 2.03, + "learning_rate": 1.7978023269479374e-05, + "loss": 0.6356, + "step": 25580 + }, + { + "epoch": 2.03, + "learning_rate": 1.7963332941591256e-05, + "loss": 0.7199, + "step": 25590 + }, + { + "epoch": 2.03, + "learning_rate": 1.794864261370314e-05, + "loss": 0.6835, + "step": 25600 + }, + { + "epoch": 2.03, + "learning_rate": 1.793395228581502e-05, + "loss": 0.6391, + "step": 25610 + }, + { + "epoch": 2.03, + "learning_rate": 1.7919261957926904e-05, + "loss": 0.6395, + "step": 25620 + }, + { + "epoch": 2.03, + "learning_rate": 1.790457163003878e-05, + "loss": 0.6952, + "step": 25630 + }, + { + "epoch": 2.03, + "learning_rate": 1.7889881302150667e-05, + "loss": 0.6792, + "step": 25640 + }, + { + "epoch": 2.03, + "learning_rate": 1.7875190974262545e-05, + "loss": 0.6602, + "step": 25650 + }, + { + "epoch": 2.04, + "learning_rate": 1.786050064637443e-05, + "loss": 0.6952, + "step": 25660 + }, + { + "epoch": 2.04, + "learning_rate": 1.7845810318486308e-05, + "loss": 0.6722, + "step": 25670 + }, + { + "epoch": 2.04, + "learning_rate": 1.7831119990598193e-05, + "loss": 0.614, + "step": 25680 + }, + { + "epoch": 2.04, + "learning_rate": 1.781642966271007e-05, + "loss": 0.6653, + "step": 25690 + }, + { + "epoch": 2.04, + "learning_rate": 1.7801739334821956e-05, + "loss": 0.6824, + "step": 25700 + }, + { + "epoch": 2.04, + "learning_rate": 1.7787049006933837e-05, + "loss": 0.6867, + "step": 25710 + }, + { + "epoch": 2.04, + "learning_rate": 1.777235867904572e-05, + "loss": 0.6584, + "step": 25720 + }, + { + "epoch": 2.04, + "learning_rate": 1.77576683511576e-05, + "loss": 0.6633, + "step": 25730 + }, + { + "epoch": 2.04, + "learning_rate": 1.7742978023269478e-05, + "loss": 0.6876, + "step": 25740 + }, + { + "epoch": 2.04, + "learning_rate": 1.7728287695381363e-05, + "loss": 0.6274, + "step": 25750 + }, + { + "epoch": 2.04, + "learning_rate": 1.771359736749324e-05, + "loss": 0.6488, + "step": 25760 + }, + { + "epoch": 2.04, + "learning_rate": 1.7698907039605126e-05, + "loss": 0.6465, + "step": 25770 + }, + { + "epoch": 2.05, + "learning_rate": 1.7684216711717004e-05, + "loss": 0.608, + "step": 25780 + }, + { + "epoch": 2.05, + "learning_rate": 1.766952638382889e-05, + "loss": 0.6468, + "step": 25790 + }, + { + "epoch": 2.05, + "learning_rate": 1.7654836055940767e-05, + "loss": 0.6986, + "step": 25800 + }, + { + "epoch": 2.05, + "learning_rate": 1.7640145728052652e-05, + "loss": 0.718, + "step": 25810 + }, + { + "epoch": 2.05, + "learning_rate": 1.7625455400164534e-05, + "loss": 0.6791, + "step": 25820 + }, + { + "epoch": 2.05, + "learning_rate": 1.7610765072276415e-05, + "loss": 0.687, + "step": 25830 + }, + { + "epoch": 2.05, + "learning_rate": 1.7596074744388297e-05, + "loss": 0.6707, + "step": 25840 + }, + { + "epoch": 2.05, + "learning_rate": 1.7581384416500178e-05, + "loss": 0.6696, + "step": 25850 + }, + { + "epoch": 2.05, + "learning_rate": 1.756669408861206e-05, + "loss": 0.6318, + "step": 25860 + }, + { + "epoch": 2.05, + "learning_rate": 1.755200376072394e-05, + "loss": 0.677, + "step": 25870 + }, + { + "epoch": 2.05, + "learning_rate": 1.7537313432835823e-05, + "loss": 0.6457, + "step": 25880 + }, + { + "epoch": 2.05, + "learning_rate": 1.75226231049477e-05, + "loss": 0.6057, + "step": 25890 + }, + { + "epoch": 2.05, + "learning_rate": 1.7507932777059586e-05, + "loss": 0.6446, + "step": 25900 + }, + { + "epoch": 2.06, + "learning_rate": 1.7493242449171464e-05, + "loss": 0.694, + "step": 25910 + }, + { + "epoch": 2.06, + "learning_rate": 1.747855212128335e-05, + "loss": 0.6619, + "step": 25920 + }, + { + "epoch": 2.06, + "learning_rate": 1.7463861793395227e-05, + "loss": 0.7286, + "step": 25930 + }, + { + "epoch": 2.06, + "learning_rate": 1.7449171465507112e-05, + "loss": 0.6581, + "step": 25940 + }, + { + "epoch": 2.06, + "learning_rate": 1.7434481137618993e-05, + "loss": 0.6883, + "step": 25950 + }, + { + "epoch": 2.06, + "learning_rate": 1.7419790809730875e-05, + "loss": 0.7099, + "step": 25960 + }, + { + "epoch": 2.06, + "learning_rate": 1.7405100481842756e-05, + "loss": 0.6769, + "step": 25970 + }, + { + "epoch": 2.06, + "learning_rate": 1.7390410153954638e-05, + "loss": 0.6297, + "step": 25980 + }, + { + "epoch": 2.06, + "learning_rate": 1.737571982606652e-05, + "loss": 0.6473, + "step": 25990 + }, + { + "epoch": 2.06, + "learning_rate": 1.73610294981784e-05, + "loss": 0.6294, + "step": 26000 + }, + { + "epoch": 2.06, + "learning_rate": 1.7346339170290282e-05, + "loss": 0.6792, + "step": 26010 + }, + { + "epoch": 2.06, + "learning_rate": 1.7331648842402164e-05, + "loss": 0.6338, + "step": 26020 + }, + { + "epoch": 2.06, + "learning_rate": 1.7316958514514045e-05, + "loss": 0.6748, + "step": 26030 + }, + { + "epoch": 2.07, + "learning_rate": 1.7302268186625923e-05, + "loss": 0.6837, + "step": 26040 + }, + { + "epoch": 2.07, + "learning_rate": 1.7287577858737808e-05, + "loss": 0.6479, + "step": 26050 + }, + { + "epoch": 2.07, + "learning_rate": 1.727288753084969e-05, + "loss": 0.6943, + "step": 26060 + }, + { + "epoch": 2.07, + "learning_rate": 1.725819720296157e-05, + "loss": 0.6463, + "step": 26070 + }, + { + "epoch": 2.07, + "learning_rate": 1.7243506875073453e-05, + "loss": 0.704, + "step": 26080 + }, + { + "epoch": 2.07, + "learning_rate": 1.7228816547185334e-05, + "loss": 0.6564, + "step": 26090 + }, + { + "epoch": 2.07, + "learning_rate": 1.7214126219297216e-05, + "loss": 0.6603, + "step": 26100 + }, + { + "epoch": 2.07, + "learning_rate": 1.7199435891409097e-05, + "loss": 0.6174, + "step": 26110 + }, + { + "epoch": 2.07, + "learning_rate": 1.718474556352098e-05, + "loss": 0.7269, + "step": 26120 + }, + { + "epoch": 2.07, + "learning_rate": 1.717005523563286e-05, + "loss": 0.6505, + "step": 26130 + }, + { + "epoch": 2.07, + "learning_rate": 1.7155364907744742e-05, + "loss": 0.6807, + "step": 26140 + }, + { + "epoch": 2.07, + "learning_rate": 1.7140674579856623e-05, + "loss": 0.6543, + "step": 26150 + }, + { + "epoch": 2.08, + "learning_rate": 1.7125984251968505e-05, + "loss": 0.6774, + "step": 26160 + }, + { + "epoch": 2.08, + "learning_rate": 1.7111293924080386e-05, + "loss": 0.6533, + "step": 26170 + }, + { + "epoch": 2.08, + "learning_rate": 1.7096603596192268e-05, + "loss": 0.6936, + "step": 26180 + }, + { + "epoch": 2.08, + "learning_rate": 1.708191326830415e-05, + "loss": 0.6574, + "step": 26190 + }, + { + "epoch": 2.08, + "learning_rate": 1.706722294041603e-05, + "loss": 0.6052, + "step": 26200 + }, + { + "epoch": 2.08, + "learning_rate": 1.7052532612527912e-05, + "loss": 0.7222, + "step": 26210 + }, + { + "epoch": 2.08, + "learning_rate": 1.7037842284639794e-05, + "loss": 0.6158, + "step": 26220 + }, + { + "epoch": 2.08, + "learning_rate": 1.7023151956751675e-05, + "loss": 0.6654, + "step": 26230 + }, + { + "epoch": 2.08, + "learning_rate": 1.7008461628863557e-05, + "loss": 0.6047, + "step": 26240 + }, + { + "epoch": 2.08, + "learning_rate": 1.699377130097544e-05, + "loss": 0.665, + "step": 26250 + }, + { + "epoch": 2.08, + "learning_rate": 1.697908097308732e-05, + "loss": 0.6478, + "step": 26260 + }, + { + "epoch": 2.08, + "learning_rate": 1.69643906451992e-05, + "loss": 0.6811, + "step": 26270 + }, + { + "epoch": 2.08, + "learning_rate": 1.6949700317311083e-05, + "loss": 0.6586, + "step": 26280 + }, + { + "epoch": 2.09, + "learning_rate": 1.6935009989422964e-05, + "loss": 0.6852, + "step": 26290 + }, + { + "epoch": 2.09, + "learning_rate": 1.6920319661534846e-05, + "loss": 0.7225, + "step": 26300 + }, + { + "epoch": 2.09, + "learning_rate": 1.6905629333646727e-05, + "loss": 0.6681, + "step": 26310 + }, + { + "epoch": 2.09, + "learning_rate": 1.689093900575861e-05, + "loss": 0.6568, + "step": 26320 + }, + { + "epoch": 2.09, + "learning_rate": 1.687624867787049e-05, + "loss": 0.6801, + "step": 26330 + }, + { + "epoch": 2.09, + "learning_rate": 1.6861558349982372e-05, + "loss": 0.6328, + "step": 26340 + }, + { + "epoch": 2.09, + "learning_rate": 1.6846868022094253e-05, + "loss": 0.6246, + "step": 26350 + }, + { + "epoch": 2.09, + "learning_rate": 1.6832177694206135e-05, + "loss": 0.6319, + "step": 26360 + }, + { + "epoch": 2.09, + "learning_rate": 1.6817487366318016e-05, + "loss": 0.6434, + "step": 26370 + }, + { + "epoch": 2.09, + "learning_rate": 1.6802797038429898e-05, + "loss": 0.6729, + "step": 26380 + }, + { + "epoch": 2.09, + "learning_rate": 1.678810671054178e-05, + "loss": 0.6728, + "step": 26390 + }, + { + "epoch": 2.09, + "learning_rate": 1.677341638265366e-05, + "loss": 0.6364, + "step": 26400 + }, + { + "epoch": 2.1, + "learning_rate": 1.6758726054765546e-05, + "loss": 0.6378, + "step": 26410 + }, + { + "epoch": 2.1, + "learning_rate": 1.6744035726877424e-05, + "loss": 0.6289, + "step": 26420 + }, + { + "epoch": 2.1, + "learning_rate": 1.672934539898931e-05, + "loss": 0.654, + "step": 26430 + }, + { + "epoch": 2.1, + "learning_rate": 1.6714655071101187e-05, + "loss": 0.6176, + "step": 26440 + }, + { + "epoch": 2.1, + "learning_rate": 1.669996474321307e-05, + "loss": 0.6688, + "step": 26450 + }, + { + "epoch": 2.1, + "learning_rate": 1.668527441532495e-05, + "loss": 0.7008, + "step": 26460 + }, + { + "epoch": 2.1, + "learning_rate": 1.667058408743683e-05, + "loss": 0.6483, + "step": 26470 + }, + { + "epoch": 2.1, + "learning_rate": 1.6655893759548713e-05, + "loss": 0.6786, + "step": 26480 + }, + { + "epoch": 2.1, + "learning_rate": 1.6641203431660595e-05, + "loss": 0.7234, + "step": 26490 + }, + { + "epoch": 2.1, + "learning_rate": 1.6626513103772476e-05, + "loss": 0.6537, + "step": 26500 + }, + { + "epoch": 2.1, + "learning_rate": 1.6611822775884358e-05, + "loss": 0.6545, + "step": 26510 + }, + { + "epoch": 2.1, + "learning_rate": 1.6597132447996242e-05, + "loss": 0.6753, + "step": 26520 + }, + { + "epoch": 2.1, + "learning_rate": 1.658244212010812e-05, + "loss": 0.6893, + "step": 26530 + }, + { + "epoch": 2.11, + "learning_rate": 1.6567751792220005e-05, + "loss": 0.695, + "step": 26540 + }, + { + "epoch": 2.11, + "learning_rate": 1.6553061464331884e-05, + "loss": 0.6706, + "step": 26550 + }, + { + "epoch": 2.11, + "learning_rate": 1.653837113644377e-05, + "loss": 0.6983, + "step": 26560 + }, + { + "epoch": 2.11, + "learning_rate": 1.6523680808555647e-05, + "loss": 0.6031, + "step": 26570 + }, + { + "epoch": 2.11, + "learning_rate": 1.650899048066753e-05, + "loss": 0.6736, + "step": 26580 + }, + { + "epoch": 2.11, + "learning_rate": 1.649430015277941e-05, + "loss": 0.6815, + "step": 26590 + }, + { + "epoch": 2.11, + "learning_rate": 1.6479609824891294e-05, + "loss": 0.6559, + "step": 26600 + }, + { + "epoch": 2.11, + "learning_rate": 1.6464919497003173e-05, + "loss": 0.7229, + "step": 26610 + }, + { + "epoch": 2.11, + "learning_rate": 1.6450229169115054e-05, + "loss": 0.6846, + "step": 26620 + }, + { + "epoch": 2.11, + "learning_rate": 1.6435538841226936e-05, + "loss": 0.6587, + "step": 26630 + }, + { + "epoch": 2.11, + "learning_rate": 1.6420848513338817e-05, + "loss": 0.6684, + "step": 26640 + }, + { + "epoch": 2.11, + "learning_rate": 1.6406158185450702e-05, + "loss": 0.6783, + "step": 26650 + }, + { + "epoch": 2.11, + "learning_rate": 1.639146785756258e-05, + "loss": 0.646, + "step": 26660 + }, + { + "epoch": 2.12, + "learning_rate": 1.6376777529674465e-05, + "loss": 0.6384, + "step": 26670 + }, + { + "epoch": 2.12, + "learning_rate": 1.6362087201786343e-05, + "loss": 0.6565, + "step": 26680 + }, + { + "epoch": 2.12, + "learning_rate": 1.6347396873898228e-05, + "loss": 0.646, + "step": 26690 + }, + { + "epoch": 2.12, + "learning_rate": 1.6332706546010106e-05, + "loss": 0.6593, + "step": 26700 + }, + { + "epoch": 2.12, + "learning_rate": 1.631801621812199e-05, + "loss": 0.6578, + "step": 26710 + }, + { + "epoch": 2.12, + "learning_rate": 1.630332589023387e-05, + "loss": 0.6321, + "step": 26720 + }, + { + "epoch": 2.12, + "learning_rate": 1.6288635562345754e-05, + "loss": 0.6506, + "step": 26730 + }, + { + "epoch": 2.12, + "learning_rate": 1.6273945234457632e-05, + "loss": 0.6628, + "step": 26740 + }, + { + "epoch": 2.12, + "learning_rate": 1.6259254906569517e-05, + "loss": 0.6515, + "step": 26750 + }, + { + "epoch": 2.12, + "learning_rate": 1.62445645786814e-05, + "loss": 0.6081, + "step": 26760 + }, + { + "epoch": 2.12, + "learning_rate": 1.6229874250793277e-05, + "loss": 0.6762, + "step": 26770 + }, + { + "epoch": 2.12, + "learning_rate": 1.621518392290516e-05, + "loss": 0.7064, + "step": 26780 + }, + { + "epoch": 2.13, + "learning_rate": 1.620049359501704e-05, + "loss": 0.6375, + "step": 26790 + }, + { + "epoch": 2.13, + "learning_rate": 1.6185803267128925e-05, + "loss": 0.6338, + "step": 26800 + }, + { + "epoch": 2.13, + "learning_rate": 1.6171112939240803e-05, + "loss": 0.6385, + "step": 26810 + }, + { + "epoch": 2.13, + "learning_rate": 1.6156422611352688e-05, + "loss": 0.6648, + "step": 26820 + }, + { + "epoch": 2.13, + "learning_rate": 1.6141732283464566e-05, + "loss": 0.6331, + "step": 26830 + }, + { + "epoch": 2.13, + "learning_rate": 1.612704195557645e-05, + "loss": 0.6712, + "step": 26840 + }, + { + "epoch": 2.13, + "learning_rate": 1.611235162768833e-05, + "loss": 0.6267, + "step": 26850 + }, + { + "epoch": 2.13, + "learning_rate": 1.6097661299800214e-05, + "loss": 0.6605, + "step": 26860 + }, + { + "epoch": 2.13, + "learning_rate": 1.6082970971912095e-05, + "loss": 0.684, + "step": 26870 + }, + { + "epoch": 2.13, + "learning_rate": 1.6068280644023977e-05, + "loss": 0.6607, + "step": 26880 + }, + { + "epoch": 2.13, + "learning_rate": 1.6053590316135858e-05, + "loss": 0.6775, + "step": 26890 + }, + { + "epoch": 2.13, + "learning_rate": 1.603889998824774e-05, + "loss": 0.6303, + "step": 26900 + }, + { + "epoch": 2.13, + "learning_rate": 1.602420966035962e-05, + "loss": 0.6895, + "step": 26910 + }, + { + "epoch": 2.14, + "learning_rate": 1.6009519332471503e-05, + "loss": 0.6539, + "step": 26920 + }, + { + "epoch": 2.14, + "learning_rate": 1.5994829004583384e-05, + "loss": 0.6482, + "step": 26930 + }, + { + "epoch": 2.14, + "learning_rate": 1.5980138676695262e-05, + "loss": 0.6433, + "step": 26940 + }, + { + "epoch": 2.14, + "learning_rate": 1.5965448348807147e-05, + "loss": 0.6057, + "step": 26950 + }, + { + "epoch": 2.14, + "learning_rate": 1.5950758020919025e-05, + "loss": 0.6243, + "step": 26960 + }, + { + "epoch": 2.14, + "learning_rate": 1.593606769303091e-05, + "loss": 0.6668, + "step": 26970 + }, + { + "epoch": 2.14, + "learning_rate": 1.5921377365142788e-05, + "loss": 0.6863, + "step": 26980 + }, + { + "epoch": 2.14, + "learning_rate": 1.5906687037254673e-05, + "loss": 0.6584, + "step": 26990 + }, + { + "epoch": 2.14, + "learning_rate": 1.5891996709366555e-05, + "loss": 0.7188, + "step": 27000 + }, + { + "epoch": 2.14, + "learning_rate": 1.5877306381478436e-05, + "loss": 0.6761, + "step": 27010 + }, + { + "epoch": 2.14, + "learning_rate": 1.5862616053590318e-05, + "loss": 0.685, + "step": 27020 + }, + { + "epoch": 2.14, + "learning_rate": 1.58479257257022e-05, + "loss": 0.6768, + "step": 27030 + }, + { + "epoch": 2.15, + "learning_rate": 1.583323539781408e-05, + "loss": 0.703, + "step": 27040 + }, + { + "epoch": 2.15, + "learning_rate": 1.5818545069925962e-05, + "loss": 0.728, + "step": 27050 + }, + { + "epoch": 2.15, + "learning_rate": 1.5803854742037844e-05, + "loss": 0.6748, + "step": 27060 + }, + { + "epoch": 2.15, + "learning_rate": 1.5789164414149725e-05, + "loss": 0.6247, + "step": 27070 + }, + { + "epoch": 2.15, + "learning_rate": 1.5774474086261607e-05, + "loss": 0.6449, + "step": 27080 + }, + { + "epoch": 2.15, + "learning_rate": 1.5759783758373485e-05, + "loss": 0.6497, + "step": 27090 + }, + { + "epoch": 2.15, + "learning_rate": 1.574509343048537e-05, + "loss": 0.6809, + "step": 27100 + }, + { + "epoch": 2.15, + "learning_rate": 1.573040310259725e-05, + "loss": 0.609, + "step": 27110 + }, + { + "epoch": 2.15, + "learning_rate": 1.5715712774709133e-05, + "loss": 0.6471, + "step": 27120 + }, + { + "epoch": 2.15, + "learning_rate": 1.5701022446821014e-05, + "loss": 0.6276, + "step": 27130 + }, + { + "epoch": 2.15, + "learning_rate": 1.5686332118932896e-05, + "loss": 0.6678, + "step": 27140 + }, + { + "epoch": 2.15, + "learning_rate": 1.5671641791044777e-05, + "loss": 0.6434, + "step": 27150 + }, + { + "epoch": 2.15, + "learning_rate": 1.565695146315666e-05, + "loss": 0.6006, + "step": 27160 + }, + { + "epoch": 2.16, + "learning_rate": 1.564226113526854e-05, + "loss": 0.6347, + "step": 27170 + }, + { + "epoch": 2.16, + "learning_rate": 1.5627570807380422e-05, + "loss": 0.7059, + "step": 27180 + }, + { + "epoch": 2.16, + "learning_rate": 1.5612880479492303e-05, + "loss": 0.735, + "step": 27190 + }, + { + "epoch": 2.16, + "learning_rate": 1.5598190151604185e-05, + "loss": 0.6631, + "step": 27200 + }, + { + "epoch": 2.16, + "learning_rate": 1.5583499823716066e-05, + "loss": 0.6457, + "step": 27210 + }, + { + "epoch": 2.16, + "learning_rate": 1.5568809495827948e-05, + "loss": 0.6558, + "step": 27220 + }, + { + "epoch": 2.16, + "learning_rate": 1.555411916793983e-05, + "loss": 0.6924, + "step": 27230 + }, + { + "epoch": 2.16, + "learning_rate": 1.553942884005171e-05, + "loss": 0.6828, + "step": 27240 + }, + { + "epoch": 2.16, + "learning_rate": 1.5524738512163592e-05, + "loss": 0.6473, + "step": 27250 + }, + { + "epoch": 2.16, + "learning_rate": 1.5510048184275474e-05, + "loss": 0.6351, + "step": 27260 + }, + { + "epoch": 2.16, + "learning_rate": 1.5495357856387355e-05, + "loss": 0.6713, + "step": 27270 + }, + { + "epoch": 2.16, + "learning_rate": 1.5480667528499237e-05, + "loss": 0.7327, + "step": 27280 + }, + { + "epoch": 2.16, + "learning_rate": 1.5465977200611118e-05, + "loss": 0.745, + "step": 27290 + }, + { + "epoch": 2.17, + "learning_rate": 1.5451286872723e-05, + "loss": 0.6712, + "step": 27300 + }, + { + "epoch": 2.17, + "learning_rate": 1.543659654483488e-05, + "loss": 0.6925, + "step": 27310 + }, + { + "epoch": 2.17, + "learning_rate": 1.5421906216946763e-05, + "loss": 0.6846, + "step": 27320 + }, + { + "epoch": 2.17, + "learning_rate": 1.5407215889058644e-05, + "loss": 0.6426, + "step": 27330 + }, + { + "epoch": 2.17, + "learning_rate": 1.5392525561170526e-05, + "loss": 0.6718, + "step": 27340 + }, + { + "epoch": 2.17, + "learning_rate": 1.5377835233282407e-05, + "loss": 0.7128, + "step": 27350 + }, + { + "epoch": 2.17, + "learning_rate": 1.536314490539429e-05, + "loss": 0.6751, + "step": 27360 + }, + { + "epoch": 2.17, + "learning_rate": 1.534845457750617e-05, + "loss": 0.6214, + "step": 27370 + }, + { + "epoch": 2.17, + "learning_rate": 1.5333764249618052e-05, + "loss": 0.6754, + "step": 27380 + }, + { + "epoch": 2.17, + "learning_rate": 1.5319073921729933e-05, + "loss": 0.6446, + "step": 27390 + }, + { + "epoch": 2.17, + "learning_rate": 1.5304383593841815e-05, + "loss": 0.6276, + "step": 27400 + }, + { + "epoch": 2.17, + "learning_rate": 1.5289693265953696e-05, + "loss": 0.6621, + "step": 27410 + }, + { + "epoch": 2.18, + "learning_rate": 1.5275002938065578e-05, + "loss": 0.6167, + "step": 27420 + }, + { + "epoch": 2.18, + "learning_rate": 1.526031261017746e-05, + "loss": 0.6714, + "step": 27430 + }, + { + "epoch": 2.18, + "learning_rate": 1.5245622282289341e-05, + "loss": 0.7169, + "step": 27440 + }, + { + "epoch": 2.18, + "learning_rate": 1.5230931954401222e-05, + "loss": 0.656, + "step": 27450 + }, + { + "epoch": 2.18, + "learning_rate": 1.5216241626513106e-05, + "loss": 0.6949, + "step": 27460 + }, + { + "epoch": 2.18, + "learning_rate": 1.5201551298624985e-05, + "loss": 0.7136, + "step": 27470 + }, + { + "epoch": 2.18, + "learning_rate": 1.5186860970736869e-05, + "loss": 0.6506, + "step": 27480 + }, + { + "epoch": 2.18, + "learning_rate": 1.5172170642848748e-05, + "loss": 0.6522, + "step": 27490 + }, + { + "epoch": 2.18, + "learning_rate": 1.5157480314960632e-05, + "loss": 0.6566, + "step": 27500 + }, + { + "epoch": 2.18, + "learning_rate": 1.5142789987072511e-05, + "loss": 0.68, + "step": 27510 + }, + { + "epoch": 2.18, + "learning_rate": 1.5128099659184395e-05, + "loss": 0.642, + "step": 27520 + }, + { + "epoch": 2.18, + "learning_rate": 1.5113409331296274e-05, + "loss": 0.6977, + "step": 27530 + }, + { + "epoch": 2.18, + "learning_rate": 1.5098719003408158e-05, + "loss": 0.6076, + "step": 27540 + }, + { + "epoch": 2.19, + "learning_rate": 1.5084028675520037e-05, + "loss": 0.68, + "step": 27550 + }, + { + "epoch": 2.19, + "learning_rate": 1.506933834763192e-05, + "loss": 0.6558, + "step": 27560 + }, + { + "epoch": 2.19, + "learning_rate": 1.5054648019743802e-05, + "loss": 0.6724, + "step": 27570 + }, + { + "epoch": 2.19, + "learning_rate": 1.5039957691855684e-05, + "loss": 0.7124, + "step": 27580 + }, + { + "epoch": 2.19, + "learning_rate": 1.5025267363967565e-05, + "loss": 0.6696, + "step": 27590 + }, + { + "epoch": 2.19, + "learning_rate": 1.5010577036079445e-05, + "loss": 0.6667, + "step": 27600 + }, + { + "epoch": 2.19, + "learning_rate": 1.4995886708191328e-05, + "loss": 0.6193, + "step": 27610 + }, + { + "epoch": 2.19, + "learning_rate": 1.4981196380303208e-05, + "loss": 0.6492, + "step": 27620 + }, + { + "epoch": 2.19, + "learning_rate": 1.4966506052415091e-05, + "loss": 0.6932, + "step": 27630 + }, + { + "epoch": 2.19, + "learning_rate": 1.4951815724526971e-05, + "loss": 0.664, + "step": 27640 + }, + { + "epoch": 2.19, + "learning_rate": 1.4937125396638854e-05, + "loss": 0.7153, + "step": 27650 + }, + { + "epoch": 2.19, + "learning_rate": 1.4922435068750734e-05, + "loss": 0.6961, + "step": 27660 + }, + { + "epoch": 2.19, + "learning_rate": 1.4907744740862617e-05, + "loss": 0.6198, + "step": 27670 + }, + { + "epoch": 2.2, + "learning_rate": 1.4893054412974497e-05, + "loss": 0.6267, + "step": 27680 + }, + { + "epoch": 2.2, + "learning_rate": 1.487836408508638e-05, + "loss": 0.6625, + "step": 27690 + }, + { + "epoch": 2.2, + "learning_rate": 1.4863673757198263e-05, + "loss": 0.6515, + "step": 27700 + }, + { + "epoch": 2.2, + "learning_rate": 1.4848983429310143e-05, + "loss": 0.6974, + "step": 27710 + }, + { + "epoch": 2.2, + "learning_rate": 1.4834293101422025e-05, + "loss": 0.6384, + "step": 27720 + }, + { + "epoch": 2.2, + "learning_rate": 1.4819602773533906e-05, + "loss": 0.6393, + "step": 27730 + }, + { + "epoch": 2.2, + "learning_rate": 1.4804912445645788e-05, + "loss": 0.6462, + "step": 27740 + }, + { + "epoch": 2.2, + "learning_rate": 1.4790222117757668e-05, + "loss": 0.6743, + "step": 27750 + }, + { + "epoch": 2.2, + "learning_rate": 1.477553178986955e-05, + "loss": 0.6229, + "step": 27760 + }, + { + "epoch": 2.2, + "learning_rate": 1.476084146198143e-05, + "loss": 0.5978, + "step": 27770 + }, + { + "epoch": 2.2, + "learning_rate": 1.4746151134093314e-05, + "loss": 0.6609, + "step": 27780 + }, + { + "epoch": 2.2, + "learning_rate": 1.4731460806205194e-05, + "loss": 0.605, + "step": 27790 + }, + { + "epoch": 2.21, + "learning_rate": 1.4716770478317077e-05, + "loss": 0.6702, + "step": 27800 + }, + { + "epoch": 2.21, + "learning_rate": 1.470208015042896e-05, + "loss": 0.7103, + "step": 27810 + }, + { + "epoch": 2.21, + "learning_rate": 1.468738982254084e-05, + "loss": 0.6681, + "step": 27820 + }, + { + "epoch": 2.21, + "learning_rate": 1.4672699494652723e-05, + "loss": 0.6461, + "step": 27830 + }, + { + "epoch": 2.21, + "learning_rate": 1.4658009166764603e-05, + "loss": 0.6516, + "step": 27840 + }, + { + "epoch": 2.21, + "learning_rate": 1.4643318838876486e-05, + "loss": 0.6393, + "step": 27850 + }, + { + "epoch": 2.21, + "learning_rate": 1.4628628510988366e-05, + "loss": 0.6495, + "step": 27860 + }, + { + "epoch": 2.21, + "learning_rate": 1.4613938183100247e-05, + "loss": 0.7269, + "step": 27870 + }, + { + "epoch": 2.21, + "learning_rate": 1.4599247855212129e-05, + "loss": 0.6738, + "step": 27880 + }, + { + "epoch": 2.21, + "learning_rate": 1.458455752732401e-05, + "loss": 0.6129, + "step": 27890 + }, + { + "epoch": 2.21, + "learning_rate": 1.4569867199435892e-05, + "loss": 0.6889, + "step": 27900 + }, + { + "epoch": 2.21, + "learning_rate": 1.4555176871547773e-05, + "loss": 0.6696, + "step": 27910 + }, + { + "epoch": 2.21, + "learning_rate": 1.4540486543659653e-05, + "loss": 0.6512, + "step": 27920 + }, + { + "epoch": 2.22, + "learning_rate": 1.4525796215771536e-05, + "loss": 0.6505, + "step": 27930 + }, + { + "epoch": 2.22, + "learning_rate": 1.451110588788342e-05, + "loss": 0.6414, + "step": 27940 + }, + { + "epoch": 2.22, + "learning_rate": 1.44964155599953e-05, + "loss": 0.6526, + "step": 27950 + }, + { + "epoch": 2.22, + "learning_rate": 1.4481725232107183e-05, + "loss": 0.6472, + "step": 27960 + }, + { + "epoch": 2.22, + "learning_rate": 1.4467034904219062e-05, + "loss": 0.693, + "step": 27970 + }, + { + "epoch": 2.22, + "learning_rate": 1.4452344576330946e-05, + "loss": 0.6644, + "step": 27980 + }, + { + "epoch": 2.22, + "learning_rate": 1.4437654248442825e-05, + "loss": 0.682, + "step": 27990 + }, + { + "epoch": 2.22, + "learning_rate": 1.4422963920554709e-05, + "loss": 0.6452, + "step": 28000 + }, + { + "epoch": 2.22, + "learning_rate": 1.4408273592666588e-05, + "loss": 0.6493, + "step": 28010 + }, + { + "epoch": 2.22, + "learning_rate": 1.4393583264778472e-05, + "loss": 0.656, + "step": 28020 + }, + { + "epoch": 2.22, + "learning_rate": 1.4378892936890351e-05, + "loss": 0.6498, + "step": 28030 + }, + { + "epoch": 2.22, + "learning_rate": 1.4364202609002233e-05, + "loss": 0.6366, + "step": 28040 + }, + { + "epoch": 2.23, + "learning_rate": 1.4349512281114116e-05, + "loss": 0.6769, + "step": 28050 + }, + { + "epoch": 2.23, + "learning_rate": 1.4334821953225996e-05, + "loss": 0.6504, + "step": 28060 + }, + { + "epoch": 2.23, + "learning_rate": 1.4320131625337879e-05, + "loss": 0.6939, + "step": 28070 + }, + { + "epoch": 2.23, + "learning_rate": 1.4305441297449759e-05, + "loss": 0.6226, + "step": 28080 + }, + { + "epoch": 2.23, + "learning_rate": 1.4290750969561642e-05, + "loss": 0.6322, + "step": 28090 + }, + { + "epoch": 2.23, + "learning_rate": 1.4276060641673522e-05, + "loss": 0.6573, + "step": 28100 + }, + { + "epoch": 2.23, + "learning_rate": 1.4261370313785405e-05, + "loss": 0.6792, + "step": 28110 + }, + { + "epoch": 2.23, + "learning_rate": 1.4246679985897285e-05, + "loss": 0.6528, + "step": 28120 + }, + { + "epoch": 2.23, + "learning_rate": 1.4231989658009168e-05, + "loss": 0.6852, + "step": 28130 + }, + { + "epoch": 2.23, + "learning_rate": 1.4217299330121048e-05, + "loss": 0.6342, + "step": 28140 + }, + { + "epoch": 2.23, + "learning_rate": 1.4202609002232931e-05, + "loss": 0.6342, + "step": 28150 + }, + { + "epoch": 2.23, + "learning_rate": 1.4187918674344813e-05, + "loss": 0.6816, + "step": 28160 + }, + { + "epoch": 2.23, + "learning_rate": 1.4173228346456694e-05, + "loss": 0.6299, + "step": 28170 + }, + { + "epoch": 2.24, + "learning_rate": 1.4158538018568576e-05, + "loss": 0.6203, + "step": 28180 + }, + { + "epoch": 2.24, + "learning_rate": 1.4143847690680455e-05, + "loss": 0.666, + "step": 28190 + }, + { + "epoch": 2.24, + "learning_rate": 1.4129157362792339e-05, + "loss": 0.6934, + "step": 28200 + }, + { + "epoch": 2.24, + "learning_rate": 1.4114467034904218e-05, + "loss": 0.6592, + "step": 28210 + }, + { + "epoch": 2.24, + "learning_rate": 1.4099776707016102e-05, + "loss": 0.6541, + "step": 28220 + }, + { + "epoch": 2.24, + "learning_rate": 1.4085086379127981e-05, + "loss": 0.6699, + "step": 28230 + }, + { + "epoch": 2.24, + "learning_rate": 1.4070396051239865e-05, + "loss": 0.669, + "step": 28240 + }, + { + "epoch": 2.24, + "learning_rate": 1.4055705723351744e-05, + "loss": 0.6945, + "step": 28250 + }, + { + "epoch": 2.24, + "learning_rate": 1.4041015395463628e-05, + "loss": 0.6352, + "step": 28260 + }, + { + "epoch": 2.24, + "learning_rate": 1.4026325067575507e-05, + "loss": 0.6508, + "step": 28270 + }, + { + "epoch": 2.24, + "learning_rate": 1.401163473968739e-05, + "loss": 0.6823, + "step": 28280 + }, + { + "epoch": 2.24, + "learning_rate": 1.3996944411799274e-05, + "loss": 0.6199, + "step": 28290 + }, + { + "epoch": 2.24, + "learning_rate": 1.3982254083911154e-05, + "loss": 0.5945, + "step": 28300 + }, + { + "epoch": 2.25, + "learning_rate": 1.3967563756023035e-05, + "loss": 0.6531, + "step": 28310 + }, + { + "epoch": 2.25, + "learning_rate": 1.3952873428134917e-05, + "loss": 0.6366, + "step": 28320 + }, + { + "epoch": 2.25, + "learning_rate": 1.3938183100246798e-05, + "loss": 0.6737, + "step": 28330 + }, + { + "epoch": 2.25, + "learning_rate": 1.392349277235868e-05, + "loss": 0.7108, + "step": 28340 + }, + { + "epoch": 2.25, + "learning_rate": 1.3908802444470561e-05, + "loss": 0.6456, + "step": 28350 + }, + { + "epoch": 2.25, + "learning_rate": 1.3894112116582441e-05, + "loss": 0.638, + "step": 28360 + }, + { + "epoch": 2.25, + "learning_rate": 1.3879421788694324e-05, + "loss": 0.6233, + "step": 28370 + }, + { + "epoch": 2.25, + "learning_rate": 1.3864731460806204e-05, + "loss": 0.7249, + "step": 28380 + }, + { + "epoch": 2.25, + "learning_rate": 1.3850041132918087e-05, + "loss": 0.7226, + "step": 28390 + }, + { + "epoch": 2.25, + "learning_rate": 1.383535080502997e-05, + "loss": 0.6815, + "step": 28400 + }, + { + "epoch": 2.25, + "learning_rate": 1.382066047714185e-05, + "loss": 0.6308, + "step": 28410 + }, + { + "epoch": 2.25, + "learning_rate": 1.3805970149253733e-05, + "loss": 0.6955, + "step": 28420 + }, + { + "epoch": 2.26, + "learning_rate": 1.3791279821365613e-05, + "loss": 0.6822, + "step": 28430 + }, + { + "epoch": 2.26, + "learning_rate": 1.3776589493477496e-05, + "loss": 0.64, + "step": 28440 + }, + { + "epoch": 2.26, + "learning_rate": 1.3761899165589376e-05, + "loss": 0.6801, + "step": 28450 + }, + { + "epoch": 2.26, + "learning_rate": 1.374720883770126e-05, + "loss": 0.6936, + "step": 28460 + }, + { + "epoch": 2.26, + "learning_rate": 1.373251850981314e-05, + "loss": 0.6752, + "step": 28470 + }, + { + "epoch": 2.26, + "learning_rate": 1.371782818192502e-05, + "loss": 0.674, + "step": 28480 + }, + { + "epoch": 2.26, + "learning_rate": 1.3703137854036902e-05, + "loss": 0.6349, + "step": 28490 + }, + { + "epoch": 2.26, + "learning_rate": 1.3688447526148784e-05, + "loss": 0.6346, + "step": 28500 + }, + { + "epoch": 2.26, + "learning_rate": 1.3673757198260667e-05, + "loss": 0.6589, + "step": 28510 + }, + { + "epoch": 2.26, + "learning_rate": 1.3659066870372547e-05, + "loss": 0.664, + "step": 28520 + }, + { + "epoch": 2.26, + "learning_rate": 1.364437654248443e-05, + "loss": 0.6241, + "step": 28530 + }, + { + "epoch": 2.26, + "learning_rate": 1.362968621459631e-05, + "loss": 0.6342, + "step": 28540 + }, + { + "epoch": 2.26, + "learning_rate": 1.3614995886708193e-05, + "loss": 0.6282, + "step": 28550 + }, + { + "epoch": 2.27, + "learning_rate": 1.3600305558820073e-05, + "loss": 0.6251, + "step": 28560 + }, + { + "epoch": 2.27, + "learning_rate": 1.3585615230931956e-05, + "loss": 0.6143, + "step": 28570 + }, + { + "epoch": 2.27, + "learning_rate": 1.3570924903043836e-05, + "loss": 0.6443, + "step": 28580 + }, + { + "epoch": 2.27, + "learning_rate": 1.3556234575155719e-05, + "loss": 0.6858, + "step": 28590 + }, + { + "epoch": 2.27, + "learning_rate": 1.3541544247267599e-05, + "loss": 0.6945, + "step": 28600 + }, + { + "epoch": 2.27, + "learning_rate": 1.3526853919379482e-05, + "loss": 0.6641, + "step": 28610 + }, + { + "epoch": 2.27, + "learning_rate": 1.3512163591491362e-05, + "loss": 0.6481, + "step": 28620 + }, + { + "epoch": 2.27, + "learning_rate": 1.3497473263603243e-05, + "loss": 0.6184, + "step": 28630 + }, + { + "epoch": 2.27, + "learning_rate": 1.3482782935715127e-05, + "loss": 0.7019, + "step": 28640 + }, + { + "epoch": 2.27, + "learning_rate": 1.3468092607827006e-05, + "loss": 0.6936, + "step": 28650 + }, + { + "epoch": 2.27, + "learning_rate": 1.345340227993889e-05, + "loss": 0.6413, + "step": 28660 + }, + { + "epoch": 2.27, + "learning_rate": 1.343871195205077e-05, + "loss": 0.6684, + "step": 28670 + }, + { + "epoch": 2.28, + "learning_rate": 1.3424021624162653e-05, + "loss": 0.6662, + "step": 28680 + }, + { + "epoch": 2.28, + "learning_rate": 1.3409331296274532e-05, + "loss": 0.6945, + "step": 28690 + }, + { + "epoch": 2.28, + "learning_rate": 1.3394640968386416e-05, + "loss": 0.6559, + "step": 28700 + }, + { + "epoch": 2.28, + "learning_rate": 1.3379950640498295e-05, + "loss": 0.6802, + "step": 28710 + }, + { + "epoch": 2.28, + "learning_rate": 1.3365260312610179e-05, + "loss": 0.6736, + "step": 28720 + }, + { + "epoch": 2.28, + "learning_rate": 1.3350569984722058e-05, + "loss": 0.6636, + "step": 28730 + }, + { + "epoch": 2.28, + "learning_rate": 1.3335879656833942e-05, + "loss": 0.691, + "step": 28740 + }, + { + "epoch": 2.28, + "learning_rate": 1.3321189328945823e-05, + "loss": 0.6559, + "step": 28750 + }, + { + "epoch": 2.28, + "learning_rate": 1.3306499001057705e-05, + "loss": 0.6169, + "step": 28760 + }, + { + "epoch": 2.28, + "learning_rate": 1.3291808673169586e-05, + "loss": 0.7204, + "step": 28770 + }, + { + "epoch": 2.28, + "learning_rate": 1.3277118345281468e-05, + "loss": 0.6821, + "step": 28780 + }, + { + "epoch": 2.28, + "learning_rate": 1.3262428017393349e-05, + "loss": 0.6551, + "step": 28790 + }, + { + "epoch": 2.28, + "learning_rate": 1.3247737689505229e-05, + "loss": 0.6559, + "step": 28800 + }, + { + "epoch": 2.29, + "learning_rate": 1.3233047361617112e-05, + "loss": 0.6881, + "step": 28810 + }, + { + "epoch": 2.29, + "learning_rate": 1.3218357033728992e-05, + "loss": 0.6381, + "step": 28820 + }, + { + "epoch": 2.29, + "learning_rate": 1.3203666705840875e-05, + "loss": 0.6786, + "step": 28830 + }, + { + "epoch": 2.29, + "learning_rate": 1.3188976377952755e-05, + "loss": 0.7047, + "step": 28840 + }, + { + "epoch": 2.29, + "learning_rate": 1.3174286050064638e-05, + "loss": 0.6732, + "step": 28850 + }, + { + "epoch": 2.29, + "learning_rate": 1.3159595722176521e-05, + "loss": 0.6597, + "step": 28860 + }, + { + "epoch": 2.29, + "learning_rate": 1.3144905394288401e-05, + "loss": 0.6075, + "step": 28870 + }, + { + "epoch": 2.29, + "learning_rate": 1.3130215066400284e-05, + "loss": 0.6802, + "step": 28880 + }, + { + "epoch": 2.29, + "learning_rate": 1.3115524738512164e-05, + "loss": 0.7286, + "step": 28890 + }, + { + "epoch": 2.29, + "learning_rate": 1.3100834410624047e-05, + "loss": 0.6503, + "step": 28900 + }, + { + "epoch": 2.29, + "learning_rate": 1.3086144082735927e-05, + "loss": 0.6519, + "step": 28910 + }, + { + "epoch": 2.29, + "learning_rate": 1.3071453754847809e-05, + "loss": 0.6415, + "step": 28920 + }, + { + "epoch": 2.29, + "learning_rate": 1.305676342695969e-05, + "loss": 0.7125, + "step": 28930 + }, + { + "epoch": 2.3, + "learning_rate": 1.3042073099071572e-05, + "loss": 0.6355, + "step": 28940 + }, + { + "epoch": 2.3, + "learning_rate": 1.3027382771183452e-05, + "loss": 0.578, + "step": 28950 + }, + { + "epoch": 2.3, + "learning_rate": 1.3012692443295335e-05, + "loss": 0.6594, + "step": 28960 + }, + { + "epoch": 2.3, + "learning_rate": 1.2998002115407215e-05, + "loss": 0.6992, + "step": 28970 + }, + { + "epoch": 2.3, + "learning_rate": 1.2983311787519098e-05, + "loss": 0.6425, + "step": 28980 + }, + { + "epoch": 2.3, + "learning_rate": 1.2968621459630981e-05, + "loss": 0.6611, + "step": 28990 + }, + { + "epoch": 2.3, + "learning_rate": 1.295393113174286e-05, + "loss": 0.6147, + "step": 29000 + }, + { + "epoch": 2.3, + "learning_rate": 1.2939240803854744e-05, + "loss": 0.6679, + "step": 29010 + }, + { + "epoch": 2.3, + "learning_rate": 1.2924550475966624e-05, + "loss": 0.6438, + "step": 29020 + }, + { + "epoch": 2.3, + "learning_rate": 1.2909860148078507e-05, + "loss": 0.6587, + "step": 29030 + }, + { + "epoch": 2.3, + "learning_rate": 1.2895169820190387e-05, + "loss": 0.6442, + "step": 29040 + }, + { + "epoch": 2.3, + "learning_rate": 1.288047949230227e-05, + "loss": 0.6097, + "step": 29050 + }, + { + "epoch": 2.31, + "learning_rate": 1.286578916441415e-05, + "loss": 0.6801, + "step": 29060 + }, + { + "epoch": 2.31, + "learning_rate": 1.2851098836526031e-05, + "loss": 0.6534, + "step": 29070 + }, + { + "epoch": 2.31, + "learning_rate": 1.2836408508637913e-05, + "loss": 0.6618, + "step": 29080 + }, + { + "epoch": 2.31, + "learning_rate": 1.2821718180749794e-05, + "loss": 0.6163, + "step": 29090 + }, + { + "epoch": 2.31, + "learning_rate": 1.2807027852861677e-05, + "loss": 0.6453, + "step": 29100 + }, + { + "epoch": 2.31, + "learning_rate": 1.2792337524973557e-05, + "loss": 0.683, + "step": 29110 + }, + { + "epoch": 2.31, + "learning_rate": 1.277764719708544e-05, + "loss": 0.6032, + "step": 29120 + }, + { + "epoch": 2.31, + "learning_rate": 1.276295686919732e-05, + "loss": 0.6659, + "step": 29130 + }, + { + "epoch": 2.31, + "learning_rate": 1.2748266541309204e-05, + "loss": 0.5959, + "step": 29140 + }, + { + "epoch": 2.31, + "learning_rate": 1.2733576213421083e-05, + "loss": 0.667, + "step": 29150 + }, + { + "epoch": 2.31, + "learning_rate": 1.2718885885532967e-05, + "loss": 0.6153, + "step": 29160 + }, + { + "epoch": 2.31, + "learning_rate": 1.2704195557644846e-05, + "loss": 0.6296, + "step": 29170 + }, + { + "epoch": 2.31, + "learning_rate": 1.268950522975673e-05, + "loss": 0.6169, + "step": 29180 + }, + { + "epoch": 2.32, + "learning_rate": 1.267481490186861e-05, + "loss": 0.6608, + "step": 29190 + }, + { + "epoch": 2.32, + "learning_rate": 1.2660124573980493e-05, + "loss": 0.6282, + "step": 29200 + }, + { + "epoch": 2.32, + "learning_rate": 1.2645434246092374e-05, + "loss": 0.662, + "step": 29210 + }, + { + "epoch": 2.32, + "learning_rate": 1.2630743918204256e-05, + "loss": 0.6708, + "step": 29220 + }, + { + "epoch": 2.32, + "learning_rate": 1.2616053590316137e-05, + "loss": 0.6582, + "step": 29230 + }, + { + "epoch": 2.32, + "learning_rate": 1.2601363262428017e-05, + "loss": 0.6406, + "step": 29240 + }, + { + "epoch": 2.32, + "learning_rate": 1.25866729345399e-05, + "loss": 0.6802, + "step": 29250 + }, + { + "epoch": 2.32, + "learning_rate": 1.257198260665178e-05, + "loss": 0.6329, + "step": 29260 + }, + { + "epoch": 2.32, + "learning_rate": 1.2557292278763663e-05, + "loss": 0.7033, + "step": 29270 + }, + { + "epoch": 2.32, + "learning_rate": 1.2542601950875543e-05, + "loss": 0.6823, + "step": 29280 + }, + { + "epoch": 2.32, + "learning_rate": 1.2527911622987426e-05, + "loss": 0.6656, + "step": 29290 + }, + { + "epoch": 2.32, + "learning_rate": 1.2513221295099306e-05, + "loss": 0.6632, + "step": 29300 + }, + { + "epoch": 2.33, + "learning_rate": 1.2498530967211189e-05, + "loss": 0.6532, + "step": 29310 + }, + { + "epoch": 2.33, + "learning_rate": 1.248384063932307e-05, + "loss": 0.6588, + "step": 29320 + }, + { + "epoch": 2.33, + "learning_rate": 1.2469150311434952e-05, + "loss": 0.5994, + "step": 29330 + }, + { + "epoch": 2.33, + "learning_rate": 1.2454459983546834e-05, + "loss": 0.657, + "step": 29340 + }, + { + "epoch": 2.33, + "learning_rate": 1.2439769655658715e-05, + "loss": 0.6523, + "step": 29350 + }, + { + "epoch": 2.33, + "learning_rate": 1.2425079327770597e-05, + "loss": 0.6657, + "step": 29360 + }, + { + "epoch": 2.33, + "learning_rate": 1.2410388999882478e-05, + "loss": 0.6939, + "step": 29370 + }, + { + "epoch": 2.33, + "learning_rate": 1.239569867199436e-05, + "loss": 0.6881, + "step": 29380 + }, + { + "epoch": 2.33, + "learning_rate": 1.2381008344106241e-05, + "loss": 0.5984, + "step": 29390 + }, + { + "epoch": 2.33, + "learning_rate": 1.2366318016218123e-05, + "loss": 0.657, + "step": 29400 + }, + { + "epoch": 2.33, + "learning_rate": 1.2351627688330004e-05, + "loss": 0.7093, + "step": 29410 + }, + { + "epoch": 2.33, + "learning_rate": 1.2336937360441886e-05, + "loss": 0.6474, + "step": 29420 + }, + { + "epoch": 2.33, + "learning_rate": 1.2322247032553767e-05, + "loss": 0.6518, + "step": 29430 + }, + { + "epoch": 2.34, + "learning_rate": 1.2307556704665649e-05, + "loss": 0.6693, + "step": 29440 + }, + { + "epoch": 2.34, + "learning_rate": 1.229286637677753e-05, + "loss": 0.6398, + "step": 29450 + }, + { + "epoch": 2.34, + "learning_rate": 1.2278176048889412e-05, + "loss": 0.6197, + "step": 29460 + }, + { + "epoch": 2.34, + "learning_rate": 1.2263485721001293e-05, + "loss": 0.6709, + "step": 29470 + }, + { + "epoch": 2.34, + "learning_rate": 1.2248795393113175e-05, + "loss": 0.691, + "step": 29480 + }, + { + "epoch": 2.34, + "learning_rate": 1.2234105065225056e-05, + "loss": 0.6536, + "step": 29490 + }, + { + "epoch": 2.34, + "learning_rate": 1.221941473733694e-05, + "loss": 0.6021, + "step": 29500 + }, + { + "epoch": 2.34, + "learning_rate": 1.220472440944882e-05, + "loss": 0.6492, + "step": 29510 + }, + { + "epoch": 2.34, + "learning_rate": 1.21900340815607e-05, + "loss": 0.6962, + "step": 29520 + }, + { + "epoch": 2.34, + "learning_rate": 1.2175343753672582e-05, + "loss": 0.6676, + "step": 29530 + }, + { + "epoch": 2.34, + "learning_rate": 1.2160653425784464e-05, + "loss": 0.6105, + "step": 29540 + }, + { + "epoch": 2.34, + "learning_rate": 1.2145963097896345e-05, + "loss": 0.6454, + "step": 29550 + }, + { + "epoch": 2.34, + "learning_rate": 1.2131272770008227e-05, + "loss": 0.6693, + "step": 29560 + }, + { + "epoch": 2.35, + "learning_rate": 1.2116582442120108e-05, + "loss": 0.633, + "step": 29570 + }, + { + "epoch": 2.35, + "learning_rate": 1.210189211423199e-05, + "loss": 0.6581, + "step": 29580 + }, + { + "epoch": 2.35, + "learning_rate": 1.2087201786343871e-05, + "loss": 0.6716, + "step": 29590 + }, + { + "epoch": 2.35, + "learning_rate": 1.2072511458455753e-05, + "loss": 0.5959, + "step": 29600 + }, + { + "epoch": 2.35, + "learning_rate": 1.2057821130567634e-05, + "loss": 0.6714, + "step": 29610 + }, + { + "epoch": 2.35, + "learning_rate": 1.2043130802679517e-05, + "loss": 0.6402, + "step": 29620 + }, + { + "epoch": 2.35, + "learning_rate": 1.2028440474791399e-05, + "loss": 0.6777, + "step": 29630 + }, + { + "epoch": 2.35, + "learning_rate": 1.201375014690328e-05, + "loss": 0.6814, + "step": 29640 + }, + { + "epoch": 2.35, + "learning_rate": 1.1999059819015162e-05, + "loss": 0.6544, + "step": 29650 + }, + { + "epoch": 2.35, + "learning_rate": 1.1984369491127043e-05, + "loss": 0.6789, + "step": 29660 + }, + { + "epoch": 2.35, + "learning_rate": 1.1969679163238923e-05, + "loss": 0.6815, + "step": 29670 + }, + { + "epoch": 2.35, + "learning_rate": 1.1954988835350805e-05, + "loss": 0.6724, + "step": 29680 + }, + { + "epoch": 2.36, + "learning_rate": 1.1940298507462686e-05, + "loss": 0.683, + "step": 29690 + }, + { + "epoch": 2.36, + "learning_rate": 1.1925608179574568e-05, + "loss": 0.6694, + "step": 29700 + }, + { + "epoch": 2.36, + "learning_rate": 1.191091785168645e-05, + "loss": 0.6731, + "step": 29710 + }, + { + "epoch": 2.36, + "learning_rate": 1.189622752379833e-05, + "loss": 0.6876, + "step": 29720 + }, + { + "epoch": 2.36, + "learning_rate": 1.1881537195910214e-05, + "loss": 0.629, + "step": 29730 + }, + { + "epoch": 2.36, + "learning_rate": 1.1866846868022095e-05, + "loss": 0.6492, + "step": 29740 + }, + { + "epoch": 2.36, + "learning_rate": 1.1852156540133977e-05, + "loss": 0.6929, + "step": 29750 + }, + { + "epoch": 2.36, + "learning_rate": 1.1837466212245859e-05, + "loss": 0.6129, + "step": 29760 + }, + { + "epoch": 2.36, + "learning_rate": 1.182277588435774e-05, + "loss": 0.6236, + "step": 29770 + }, + { + "epoch": 2.36, + "learning_rate": 1.1808085556469622e-05, + "loss": 0.6923, + "step": 29780 + }, + { + "epoch": 2.36, + "learning_rate": 1.1793395228581503e-05, + "loss": 0.6796, + "step": 29790 + }, + { + "epoch": 2.36, + "learning_rate": 1.1778704900693385e-05, + "loss": 0.6141, + "step": 29800 + }, + { + "epoch": 2.36, + "learning_rate": 1.1764014572805266e-05, + "loss": 0.6605, + "step": 29810 + }, + { + "epoch": 2.37, + "learning_rate": 1.1749324244917148e-05, + "loss": 0.6265, + "step": 29820 + }, + { + "epoch": 2.37, + "learning_rate": 1.1734633917029027e-05, + "loss": 0.6509, + "step": 29830 + }, + { + "epoch": 2.37, + "learning_rate": 1.1719943589140909e-05, + "loss": 0.6429, + "step": 29840 + }, + { + "epoch": 2.37, + "learning_rate": 1.1705253261252792e-05, + "loss": 0.6752, + "step": 29850 + }, + { + "epoch": 2.37, + "learning_rate": 1.1690562933364674e-05, + "loss": 0.6438, + "step": 29860 + }, + { + "epoch": 2.37, + "learning_rate": 1.1675872605476555e-05, + "loss": 0.6189, + "step": 29870 + }, + { + "epoch": 2.37, + "learning_rate": 1.1661182277588437e-05, + "loss": 0.5944, + "step": 29880 + }, + { + "epoch": 2.37, + "learning_rate": 1.1646491949700318e-05, + "loss": 0.7132, + "step": 29890 + }, + { + "epoch": 2.37, + "learning_rate": 1.16318016218122e-05, + "loss": 0.6461, + "step": 29900 + }, + { + "epoch": 2.37, + "learning_rate": 1.1617111293924081e-05, + "loss": 0.6713, + "step": 29910 + }, + { + "epoch": 2.37, + "learning_rate": 1.1602420966035963e-05, + "loss": 0.6595, + "step": 29920 + }, + { + "epoch": 2.37, + "learning_rate": 1.1587730638147844e-05, + "loss": 0.6494, + "step": 29930 + }, + { + "epoch": 2.38, + "learning_rate": 1.1573040310259726e-05, + "loss": 0.6624, + "step": 29940 + }, + { + "epoch": 2.38, + "learning_rate": 1.1558349982371607e-05, + "loss": 0.66, + "step": 29950 + }, + { + "epoch": 2.38, + "learning_rate": 1.1543659654483489e-05, + "loss": 0.6735, + "step": 29960 + }, + { + "epoch": 2.38, + "learning_rate": 1.152896932659537e-05, + "loss": 0.6041, + "step": 29970 + }, + { + "epoch": 2.38, + "learning_rate": 1.1514278998707252e-05, + "loss": 0.6832, + "step": 29980 + }, + { + "epoch": 2.38, + "learning_rate": 1.1499588670819133e-05, + "loss": 0.642, + "step": 29990 + }, + { + "epoch": 2.38, + "learning_rate": 1.1484898342931015e-05, + "loss": 0.647, + "step": 30000 + }, + { + "epoch": 2.38, + "learning_rate": 1.1470208015042896e-05, + "loss": 0.6049, + "step": 30010 + }, + { + "epoch": 2.38, + "learning_rate": 1.1455517687154778e-05, + "loss": 0.7538, + "step": 30020 + }, + { + "epoch": 2.38, + "learning_rate": 1.1440827359266659e-05, + "loss": 0.6492, + "step": 30030 + }, + { + "epoch": 2.38, + "learning_rate": 1.142613703137854e-05, + "loss": 0.685, + "step": 30040 + }, + { + "epoch": 2.38, + "learning_rate": 1.1411446703490422e-05, + "loss": 0.6739, + "step": 30050 + }, + { + "epoch": 2.38, + "learning_rate": 1.1396756375602304e-05, + "loss": 0.6465, + "step": 30060 + }, + { + "epoch": 2.39, + "learning_rate": 1.1382066047714185e-05, + "loss": 0.7189, + "step": 30070 + }, + { + "epoch": 2.39, + "learning_rate": 1.1367375719826068e-05, + "loss": 0.664, + "step": 30080 + }, + { + "epoch": 2.39, + "learning_rate": 1.135268539193795e-05, + "loss": 0.705, + "step": 30090 + }, + { + "epoch": 2.39, + "learning_rate": 1.1337995064049831e-05, + "loss": 0.6825, + "step": 30100 + }, + { + "epoch": 2.39, + "learning_rate": 1.1323304736161711e-05, + "loss": 0.6475, + "step": 30110 + }, + { + "epoch": 2.39, + "learning_rate": 1.1308614408273593e-05, + "loss": 0.6499, + "step": 30120 + }, + { + "epoch": 2.39, + "learning_rate": 1.1293924080385474e-05, + "loss": 0.6285, + "step": 30130 + }, + { + "epoch": 2.39, + "learning_rate": 1.1279233752497356e-05, + "loss": 0.6744, + "step": 30140 + }, + { + "epoch": 2.39, + "learning_rate": 1.1264543424609237e-05, + "loss": 0.6673, + "step": 30150 + }, + { + "epoch": 2.39, + "learning_rate": 1.1249853096721119e-05, + "loss": 0.6419, + "step": 30160 + }, + { + "epoch": 2.39, + "learning_rate": 1.1235162768833e-05, + "loss": 0.6669, + "step": 30170 + }, + { + "epoch": 2.39, + "learning_rate": 1.1220472440944882e-05, + "loss": 0.7251, + "step": 30180 + }, + { + "epoch": 2.39, + "learning_rate": 1.1205782113056763e-05, + "loss": 0.6644, + "step": 30190 + }, + { + "epoch": 2.4, + "learning_rate": 1.1191091785168646e-05, + "loss": 0.6596, + "step": 30200 + }, + { + "epoch": 2.4, + "learning_rate": 1.1176401457280528e-05, + "loss": 0.6352, + "step": 30210 + }, + { + "epoch": 2.4, + "learning_rate": 1.116171112939241e-05, + "loss": 0.6423, + "step": 30220 + }, + { + "epoch": 2.4, + "learning_rate": 1.1147020801504291e-05, + "loss": 0.6094, + "step": 30230 + }, + { + "epoch": 2.4, + "learning_rate": 1.1132330473616172e-05, + "loss": 0.6733, + "step": 30240 + }, + { + "epoch": 2.4, + "learning_rate": 1.1117640145728054e-05, + "loss": 0.7133, + "step": 30250 + }, + { + "epoch": 2.4, + "learning_rate": 1.1102949817839935e-05, + "loss": 0.6639, + "step": 30260 + }, + { + "epoch": 2.4, + "learning_rate": 1.1088259489951815e-05, + "loss": 0.5985, + "step": 30270 + }, + { + "epoch": 2.4, + "learning_rate": 1.1073569162063697e-05, + "loss": 0.685, + "step": 30280 + }, + { + "epoch": 2.4, + "learning_rate": 1.1058878834175578e-05, + "loss": 0.6713, + "step": 30290 + }, + { + "epoch": 2.4, + "learning_rate": 1.104418850628746e-05, + "loss": 0.6535, + "step": 30300 + }, + { + "epoch": 2.4, + "learning_rate": 1.1029498178399341e-05, + "loss": 0.6743, + "step": 30310 + }, + { + "epoch": 2.41, + "learning_rate": 1.1014807850511224e-05, + "loss": 0.6879, + "step": 30320 + }, + { + "epoch": 2.41, + "learning_rate": 1.1000117522623106e-05, + "loss": 0.7006, + "step": 30330 + }, + { + "epoch": 2.41, + "learning_rate": 1.0985427194734987e-05, + "loss": 0.6685, + "step": 30340 + }, + { + "epoch": 2.41, + "learning_rate": 1.0970736866846869e-05, + "loss": 0.6823, + "step": 30350 + }, + { + "epoch": 2.41, + "learning_rate": 1.095604653895875e-05, + "loss": 0.6702, + "step": 30360 + }, + { + "epoch": 2.41, + "learning_rate": 1.0941356211070632e-05, + "loss": 0.6457, + "step": 30370 + }, + { + "epoch": 2.41, + "learning_rate": 1.0926665883182514e-05, + "loss": 0.6904, + "step": 30380 + }, + { + "epoch": 2.41, + "learning_rate": 1.0911975555294395e-05, + "loss": 0.6842, + "step": 30390 + }, + { + "epoch": 2.41, + "learning_rate": 1.0897285227406277e-05, + "loss": 0.7015, + "step": 30400 + }, + { + "epoch": 2.41, + "learning_rate": 1.0882594899518158e-05, + "loss": 0.7024, + "step": 30410 + }, + { + "epoch": 2.41, + "learning_rate": 1.086790457163004e-05, + "loss": 0.6616, + "step": 30420 + }, + { + "epoch": 2.41, + "learning_rate": 1.0853214243741921e-05, + "loss": 0.6841, + "step": 30430 + }, + { + "epoch": 2.41, + "learning_rate": 1.0838523915853803e-05, + "loss": 0.6679, + "step": 30440 + }, + { + "epoch": 2.42, + "learning_rate": 1.0823833587965684e-05, + "loss": 0.6891, + "step": 30450 + }, + { + "epoch": 2.42, + "learning_rate": 1.0809143260077566e-05, + "loss": 0.6796, + "step": 30460 + }, + { + "epoch": 2.42, + "learning_rate": 1.0794452932189447e-05, + "loss": 0.6475, + "step": 30470 + }, + { + "epoch": 2.42, + "learning_rate": 1.0779762604301329e-05, + "loss": 0.6524, + "step": 30480 + }, + { + "epoch": 2.42, + "learning_rate": 1.076507227641321e-05, + "loss": 0.6607, + "step": 30490 + }, + { + "epoch": 2.42, + "learning_rate": 1.0750381948525092e-05, + "loss": 0.631, + "step": 30500 + }, + { + "epoch": 2.42, + "learning_rate": 1.0735691620636973e-05, + "loss": 0.6549, + "step": 30510 + }, + { + "epoch": 2.42, + "learning_rate": 1.0721001292748855e-05, + "loss": 0.5863, + "step": 30520 + }, + { + "epoch": 2.42, + "learning_rate": 1.0706310964860736e-05, + "loss": 0.7171, + "step": 30530 + }, + { + "epoch": 2.42, + "learning_rate": 1.0691620636972618e-05, + "loss": 0.6045, + "step": 30540 + }, + { + "epoch": 2.42, + "learning_rate": 1.0676930309084499e-05, + "loss": 0.6721, + "step": 30550 + }, + { + "epoch": 2.42, + "learning_rate": 1.066223998119638e-05, + "loss": 0.6533, + "step": 30560 + }, + { + "epoch": 2.43, + "learning_rate": 1.0647549653308262e-05, + "loss": 0.6521, + "step": 30570 + }, + { + "epoch": 2.43, + "learning_rate": 1.0632859325420144e-05, + "loss": 0.6503, + "step": 30580 + }, + { + "epoch": 2.43, + "learning_rate": 1.0618168997532025e-05, + "loss": 0.6657, + "step": 30590 + }, + { + "epoch": 2.43, + "learning_rate": 1.0603478669643907e-05, + "loss": 0.6871, + "step": 30600 + }, + { + "epoch": 2.43, + "learning_rate": 1.0588788341755788e-05, + "loss": 0.7025, + "step": 30610 + }, + { + "epoch": 2.43, + "learning_rate": 1.057409801386767e-05, + "loss": 0.6749, + "step": 30620 + }, + { + "epoch": 2.43, + "learning_rate": 1.0559407685979551e-05, + "loss": 0.6243, + "step": 30630 + }, + { + "epoch": 2.43, + "learning_rate": 1.0544717358091433e-05, + "loss": 0.6773, + "step": 30640 + }, + { + "epoch": 2.43, + "learning_rate": 1.0530027030203314e-05, + "loss": 0.6438, + "step": 30650 + }, + { + "epoch": 2.43, + "learning_rate": 1.0515336702315196e-05, + "loss": 0.6428, + "step": 30660 + }, + { + "epoch": 2.43, + "learning_rate": 1.0500646374427079e-05, + "loss": 0.6648, + "step": 30670 + }, + { + "epoch": 2.43, + "learning_rate": 1.048595604653896e-05, + "loss": 0.6636, + "step": 30680 + }, + { + "epoch": 2.43, + "learning_rate": 1.0471265718650842e-05, + "loss": 0.662, + "step": 30690 + }, + { + "epoch": 2.44, + "learning_rate": 1.0456575390762723e-05, + "loss": 0.6112, + "step": 30700 + }, + { + "epoch": 2.44, + "learning_rate": 1.0441885062874603e-05, + "loss": 0.6179, + "step": 30710 + }, + { + "epoch": 2.44, + "learning_rate": 1.0427194734986485e-05, + "loss": 0.7023, + "step": 30720 + }, + { + "epoch": 2.44, + "learning_rate": 1.0412504407098366e-05, + "loss": 0.632, + "step": 30730 + }, + { + "epoch": 2.44, + "learning_rate": 1.0397814079210248e-05, + "loss": 0.626, + "step": 30740 + }, + { + "epoch": 2.44, + "learning_rate": 1.038312375132213e-05, + "loss": 0.7254, + "step": 30750 + }, + { + "epoch": 2.44, + "learning_rate": 1.036843342343401e-05, + "loss": 0.6596, + "step": 30760 + }, + { + "epoch": 2.44, + "learning_rate": 1.0353743095545892e-05, + "loss": 0.6119, + "step": 30770 + }, + { + "epoch": 2.44, + "learning_rate": 1.0339052767657775e-05, + "loss": 0.6714, + "step": 30780 + }, + { + "epoch": 2.44, + "learning_rate": 1.0324362439769657e-05, + "loss": 0.6428, + "step": 30790 + }, + { + "epoch": 2.44, + "learning_rate": 1.0309672111881538e-05, + "loss": 0.6609, + "step": 30800 + }, + { + "epoch": 2.44, + "learning_rate": 1.029498178399342e-05, + "loss": 0.6574, + "step": 30810 + }, + { + "epoch": 2.44, + "learning_rate": 1.0280291456105301e-05, + "loss": 0.6984, + "step": 30820 + }, + { + "epoch": 2.45, + "learning_rate": 1.0265601128217183e-05, + "loss": 0.6726, + "step": 30830 + }, + { + "epoch": 2.45, + "learning_rate": 1.0250910800329064e-05, + "loss": 0.6579, + "step": 30840 + }, + { + "epoch": 2.45, + "learning_rate": 1.0236220472440946e-05, + "loss": 0.6518, + "step": 30850 + }, + { + "epoch": 2.45, + "learning_rate": 1.0221530144552827e-05, + "loss": 0.6791, + "step": 30860 + }, + { + "epoch": 2.45, + "learning_rate": 1.0206839816664707e-05, + "loss": 0.6667, + "step": 30870 + }, + { + "epoch": 2.45, + "learning_rate": 1.0192149488776589e-05, + "loss": 0.6838, + "step": 30880 + }, + { + "epoch": 2.45, + "learning_rate": 1.017745916088847e-05, + "loss": 0.6175, + "step": 30890 + }, + { + "epoch": 2.45, + "learning_rate": 1.0162768833000353e-05, + "loss": 0.7053, + "step": 30900 + }, + { + "epoch": 2.45, + "learning_rate": 1.0148078505112235e-05, + "loss": 0.6573, + "step": 30910 + }, + { + "epoch": 2.45, + "learning_rate": 1.0133388177224116e-05, + "loss": 0.6179, + "step": 30920 + }, + { + "epoch": 2.45, + "learning_rate": 1.0118697849335998e-05, + "loss": 0.674, + "step": 30930 + }, + { + "epoch": 2.45, + "learning_rate": 1.010400752144788e-05, + "loss": 0.5972, + "step": 30940 + }, + { + "epoch": 2.46, + "learning_rate": 1.0089317193559761e-05, + "loss": 0.651, + "step": 30950 + }, + { + "epoch": 2.46, + "learning_rate": 1.0074626865671643e-05, + "loss": 0.6713, + "step": 30960 + }, + { + "epoch": 2.46, + "learning_rate": 1.0059936537783524e-05, + "loss": 0.6727, + "step": 30970 + }, + { + "epoch": 2.46, + "learning_rate": 1.0045246209895406e-05, + "loss": 0.6686, + "step": 30980 + }, + { + "epoch": 2.46, + "learning_rate": 1.0030555882007287e-05, + "loss": 0.6396, + "step": 30990 + }, + { + "epoch": 2.46, + "learning_rate": 1.0015865554119169e-05, + "loss": 0.5668, + "step": 31000 + }, + { + "epoch": 2.46, + "learning_rate": 1.000117522623105e-05, + "loss": 0.6901, + "step": 31010 + }, + { + "epoch": 2.46, + "learning_rate": 9.986484898342932e-06, + "loss": 0.6807, + "step": 31020 + }, + { + "epoch": 2.46, + "learning_rate": 9.971794570454813e-06, + "loss": 0.6439, + "step": 31030 + }, + { + "epoch": 2.46, + "learning_rate": 9.957104242566695e-06, + "loss": 0.6652, + "step": 31040 + }, + { + "epoch": 2.46, + "learning_rate": 9.942413914678576e-06, + "loss": 0.6987, + "step": 31050 + }, + { + "epoch": 2.46, + "learning_rate": 9.927723586790458e-06, + "loss": 0.659, + "step": 31060 + }, + { + "epoch": 2.46, + "learning_rate": 9.913033258902339e-06, + "loss": 0.6139, + "step": 31070 + }, + { + "epoch": 2.47, + "learning_rate": 9.89834293101422e-06, + "loss": 0.6613, + "step": 31080 + }, + { + "epoch": 2.47, + "learning_rate": 9.883652603126102e-06, + "loss": 0.6447, + "step": 31090 + }, + { + "epoch": 2.47, + "learning_rate": 9.868962275237984e-06, + "loss": 0.6867, + "step": 31100 + }, + { + "epoch": 2.47, + "learning_rate": 9.854271947349865e-06, + "loss": 0.6136, + "step": 31110 + }, + { + "epoch": 2.47, + "learning_rate": 9.839581619461747e-06, + "loss": 0.648, + "step": 31120 + }, + { + "epoch": 2.47, + "learning_rate": 9.82489129157363e-06, + "loss": 0.66, + "step": 31130 + }, + { + "epoch": 2.47, + "learning_rate": 9.810200963685511e-06, + "loss": 0.6669, + "step": 31140 + }, + { + "epoch": 2.47, + "learning_rate": 9.795510635797391e-06, + "loss": 0.6402, + "step": 31150 + }, + { + "epoch": 2.47, + "learning_rate": 9.780820307909273e-06, + "loss": 0.6205, + "step": 31160 + }, + { + "epoch": 2.47, + "learning_rate": 9.766129980021154e-06, + "loss": 0.6355, + "step": 31170 + }, + { + "epoch": 2.47, + "learning_rate": 9.751439652133036e-06, + "loss": 0.691, + "step": 31180 + }, + { + "epoch": 2.47, + "learning_rate": 9.736749324244917e-06, + "loss": 0.6513, + "step": 31190 + }, + { + "epoch": 2.47, + "learning_rate": 9.722058996356799e-06, + "loss": 0.5862, + "step": 31200 + }, + { + "epoch": 2.48, + "learning_rate": 9.70736866846868e-06, + "loss": 0.6447, + "step": 31210 + }, + { + "epoch": 2.48, + "learning_rate": 9.692678340580562e-06, + "loss": 0.6616, + "step": 31220 + }, + { + "epoch": 2.48, + "learning_rate": 9.677988012692443e-06, + "loss": 0.6577, + "step": 31230 + }, + { + "epoch": 2.48, + "learning_rate": 9.663297684804325e-06, + "loss": 0.6365, + "step": 31240 + }, + { + "epoch": 2.48, + "learning_rate": 9.648607356916208e-06, + "loss": 0.6696, + "step": 31250 + }, + { + "epoch": 2.48, + "learning_rate": 9.63391702902809e-06, + "loss": 0.6354, + "step": 31260 + }, + { + "epoch": 2.48, + "learning_rate": 9.619226701139971e-06, + "loss": 0.6559, + "step": 31270 + }, + { + "epoch": 2.48, + "learning_rate": 9.604536373251852e-06, + "loss": 0.6366, + "step": 31280 + }, + { + "epoch": 2.48, + "learning_rate": 9.589846045363734e-06, + "loss": 0.6393, + "step": 31290 + }, + { + "epoch": 2.48, + "learning_rate": 9.575155717475615e-06, + "loss": 0.6426, + "step": 31300 + }, + { + "epoch": 2.48, + "learning_rate": 9.560465389587495e-06, + "loss": 0.6443, + "step": 31310 + }, + { + "epoch": 2.48, + "learning_rate": 9.545775061699377e-06, + "loss": 0.6816, + "step": 31320 + }, + { + "epoch": 2.49, + "learning_rate": 9.531084733811258e-06, + "loss": 0.664, + "step": 31330 + }, + { + "epoch": 2.49, + "learning_rate": 9.51639440592314e-06, + "loss": 0.6354, + "step": 31340 + }, + { + "epoch": 2.49, + "learning_rate": 9.501704078035021e-06, + "loss": 0.66, + "step": 31350 + }, + { + "epoch": 2.49, + "learning_rate": 9.487013750146903e-06, + "loss": 0.6827, + "step": 31360 + }, + { + "epoch": 2.49, + "learning_rate": 9.472323422258786e-06, + "loss": 0.6101, + "step": 31370 + }, + { + "epoch": 2.49, + "learning_rate": 9.457633094370667e-06, + "loss": 0.6911, + "step": 31380 + }, + { + "epoch": 2.49, + "learning_rate": 9.442942766482549e-06, + "loss": 0.6055, + "step": 31390 + }, + { + "epoch": 2.49, + "learning_rate": 9.42825243859443e-06, + "loss": 0.6607, + "step": 31400 + }, + { + "epoch": 2.49, + "learning_rate": 9.413562110706312e-06, + "loss": 0.6878, + "step": 31410 + }, + { + "epoch": 2.49, + "learning_rate": 9.398871782818193e-06, + "loss": 0.6589, + "step": 31420 + }, + { + "epoch": 2.49, + "learning_rate": 9.384181454930075e-06, + "loss": 0.6714, + "step": 31430 + }, + { + "epoch": 2.49, + "learning_rate": 9.369491127041956e-06, + "loss": 0.6091, + "step": 31440 + }, + { + "epoch": 2.49, + "learning_rate": 9.354800799153838e-06, + "loss": 0.6799, + "step": 31450 + }, + { + "epoch": 2.5, + "learning_rate": 9.34011047126572e-06, + "loss": 0.6397, + "step": 31460 + }, + { + "epoch": 2.5, + "learning_rate": 9.3254201433776e-06, + "loss": 0.6601, + "step": 31470 + }, + { + "epoch": 2.5, + "learning_rate": 9.31072981548948e-06, + "loss": 0.6404, + "step": 31480 + }, + { + "epoch": 2.5, + "learning_rate": 9.296039487601364e-06, + "loss": 0.615, + "step": 31490 + }, + { + "epoch": 2.5, + "learning_rate": 9.281349159713245e-06, + "loss": 0.627, + "step": 31500 + }, + { + "epoch": 2.5, + "learning_rate": 9.266658831825127e-06, + "loss": 0.6456, + "step": 31510 + }, + { + "epoch": 2.5, + "learning_rate": 9.251968503937008e-06, + "loss": 0.6677, + "step": 31520 + }, + { + "epoch": 2.5, + "learning_rate": 9.23727817604889e-06, + "loss": 0.6627, + "step": 31530 + }, + { + "epoch": 2.5, + "learning_rate": 9.222587848160771e-06, + "loss": 0.6301, + "step": 31540 + }, + { + "epoch": 2.5, + "learning_rate": 9.207897520272653e-06, + "loss": 0.6129, + "step": 31550 + }, + { + "epoch": 2.5, + "learning_rate": 9.193207192384534e-06, + "loss": 0.6806, + "step": 31560 + }, + { + "epoch": 2.5, + "learning_rate": 9.178516864496416e-06, + "loss": 0.6197, + "step": 31570 + }, + { + "epoch": 2.51, + "learning_rate": 9.163826536608298e-06, + "loss": 0.6905, + "step": 31580 + }, + { + "epoch": 2.51, + "learning_rate": 9.149136208720179e-06, + "loss": 0.6136, + "step": 31590 + }, + { + "epoch": 2.51, + "learning_rate": 9.13444588083206e-06, + "loss": 0.6575, + "step": 31600 + }, + { + "epoch": 2.51, + "learning_rate": 9.119755552943942e-06, + "loss": 0.6477, + "step": 31610 + }, + { + "epoch": 2.51, + "learning_rate": 9.105065225055824e-06, + "loss": 0.6577, + "step": 31620 + }, + { + "epoch": 2.51, + "learning_rate": 9.090374897167705e-06, + "loss": 0.6787, + "step": 31630 + }, + { + "epoch": 2.51, + "learning_rate": 9.075684569279587e-06, + "loss": 0.6358, + "step": 31640 + }, + { + "epoch": 2.51, + "learning_rate": 9.060994241391468e-06, + "loss": 0.655, + "step": 31650 + }, + { + "epoch": 2.51, + "learning_rate": 9.04630391350335e-06, + "loss": 0.6198, + "step": 31660 + }, + { + "epoch": 2.51, + "learning_rate": 9.031613585615231e-06, + "loss": 0.6218, + "step": 31670 + }, + { + "epoch": 2.51, + "learning_rate": 9.016923257727113e-06, + "loss": 0.6207, + "step": 31680 + }, + { + "epoch": 2.51, + "learning_rate": 9.002232929838994e-06, + "loss": 0.6097, + "step": 31690 + }, + { + "epoch": 2.51, + "learning_rate": 8.987542601950876e-06, + "loss": 0.6928, + "step": 31700 + }, + { + "epoch": 2.52, + "learning_rate": 8.972852274062757e-06, + "loss": 0.6271, + "step": 31710 + }, + { + "epoch": 2.52, + "learning_rate": 8.95816194617464e-06, + "loss": 0.6969, + "step": 31720 + }, + { + "epoch": 2.52, + "learning_rate": 8.943471618286522e-06, + "loss": 0.6407, + "step": 31730 + }, + { + "epoch": 2.52, + "learning_rate": 8.928781290398403e-06, + "loss": 0.5821, + "step": 31740 + }, + { + "epoch": 2.52, + "learning_rate": 8.914090962510283e-06, + "loss": 0.6975, + "step": 31750 + }, + { + "epoch": 2.52, + "learning_rate": 8.899400634622165e-06, + "loss": 0.674, + "step": 31760 + }, + { + "epoch": 2.52, + "learning_rate": 8.884710306734046e-06, + "loss": 0.6358, + "step": 31770 + }, + { + "epoch": 2.52, + "learning_rate": 8.870019978845928e-06, + "loss": 0.6318, + "step": 31780 + }, + { + "epoch": 2.52, + "learning_rate": 8.855329650957809e-06, + "loss": 0.6757, + "step": 31790 + }, + { + "epoch": 2.52, + "learning_rate": 8.84063932306969e-06, + "loss": 0.6397, + "step": 31800 + }, + { + "epoch": 2.52, + "learning_rate": 8.825948995181572e-06, + "loss": 0.6266, + "step": 31810 + }, + { + "epoch": 2.52, + "learning_rate": 8.811258667293454e-06, + "loss": 0.6255, + "step": 31820 + }, + { + "epoch": 2.52, + "learning_rate": 8.796568339405335e-06, + "loss": 0.6691, + "step": 31830 + }, + { + "epoch": 2.53, + "learning_rate": 8.781878011517218e-06, + "loss": 0.6608, + "step": 31840 + }, + { + "epoch": 2.53, + "learning_rate": 8.7671876836291e-06, + "loss": 0.6849, + "step": 31850 + }, + { + "epoch": 2.53, + "learning_rate": 8.752497355740981e-06, + "loss": 0.5634, + "step": 31860 + }, + { + "epoch": 2.53, + "learning_rate": 8.737807027852863e-06, + "loss": 0.6347, + "step": 31870 + }, + { + "epoch": 2.53, + "learning_rate": 8.723116699964744e-06, + "loss": 0.6003, + "step": 31880 + }, + { + "epoch": 2.53, + "learning_rate": 8.708426372076626e-06, + "loss": 0.6265, + "step": 31890 + }, + { + "epoch": 2.53, + "learning_rate": 8.693736044188507e-06, + "loss": 0.6333, + "step": 31900 + }, + { + "epoch": 2.53, + "learning_rate": 8.679045716300387e-06, + "loss": 0.6226, + "step": 31910 + }, + { + "epoch": 2.53, + "learning_rate": 8.664355388412269e-06, + "loss": 0.6888, + "step": 31920 + }, + { + "epoch": 2.53, + "learning_rate": 8.64966506052415e-06, + "loss": 0.6613, + "step": 31930 + }, + { + "epoch": 2.53, + "learning_rate": 8.634974732636032e-06, + "loss": 0.6327, + "step": 31940 + }, + { + "epoch": 2.53, + "learning_rate": 8.620284404747915e-06, + "loss": 0.6228, + "step": 31950 + }, + { + "epoch": 2.54, + "learning_rate": 8.605594076859796e-06, + "loss": 0.6549, + "step": 31960 + }, + { + "epoch": 2.54, + "learning_rate": 8.590903748971678e-06, + "loss": 0.6702, + "step": 31970 + }, + { + "epoch": 2.54, + "learning_rate": 8.57621342108356e-06, + "loss": 0.6302, + "step": 31980 + }, + { + "epoch": 2.54, + "learning_rate": 8.561523093195441e-06, + "loss": 0.5505, + "step": 31990 + }, + { + "epoch": 2.54, + "learning_rate": 8.546832765307322e-06, + "loss": 0.6177, + "step": 32000 + }, + { + "epoch": 2.54, + "learning_rate": 8.532142437419204e-06, + "loss": 0.6789, + "step": 32010 + }, + { + "epoch": 2.54, + "learning_rate": 8.517452109531085e-06, + "loss": 0.6502, + "step": 32020 + }, + { + "epoch": 2.54, + "learning_rate": 8.502761781642967e-06, + "loss": 0.6215, + "step": 32030 + }, + { + "epoch": 2.54, + "learning_rate": 8.488071453754848e-06, + "loss": 0.6479, + "step": 32040 + }, + { + "epoch": 2.54, + "learning_rate": 8.47338112586673e-06, + "loss": 0.6293, + "step": 32050 + }, + { + "epoch": 2.54, + "learning_rate": 8.458690797978611e-06, + "loss": 0.6115, + "step": 32060 + }, + { + "epoch": 2.54, + "learning_rate": 8.444000470090493e-06, + "loss": 0.6054, + "step": 32070 + }, + { + "epoch": 2.54, + "learning_rate": 8.429310142202374e-06, + "loss": 0.663, + "step": 32080 + }, + { + "epoch": 2.55, + "learning_rate": 8.414619814314256e-06, + "loss": 0.6378, + "step": 32090 + }, + { + "epoch": 2.55, + "learning_rate": 8.399929486426137e-06, + "loss": 0.6294, + "step": 32100 + }, + { + "epoch": 2.55, + "learning_rate": 8.385239158538019e-06, + "loss": 0.6398, + "step": 32110 + }, + { + "epoch": 2.55, + "learning_rate": 8.3705488306499e-06, + "loss": 0.6289, + "step": 32120 + }, + { + "epoch": 2.55, + "learning_rate": 8.355858502761782e-06, + "loss": 0.6342, + "step": 32130 + }, + { + "epoch": 2.55, + "learning_rate": 8.341168174873663e-06, + "loss": 0.6266, + "step": 32140 + }, + { + "epoch": 2.55, + "learning_rate": 8.326477846985545e-06, + "loss": 0.6094, + "step": 32150 + }, + { + "epoch": 2.55, + "learning_rate": 8.311787519097426e-06, + "loss": 0.657, + "step": 32160 + }, + { + "epoch": 2.55, + "learning_rate": 8.297097191209308e-06, + "loss": 0.6813, + "step": 32170 + }, + { + "epoch": 2.55, + "learning_rate": 8.28240686332119e-06, + "loss": 0.6658, + "step": 32180 + }, + { + "epoch": 2.55, + "learning_rate": 8.267716535433071e-06, + "loss": 0.6601, + "step": 32190 + }, + { + "epoch": 2.55, + "learning_rate": 8.253026207544953e-06, + "loss": 0.6557, + "step": 32200 + }, + { + "epoch": 2.56, + "learning_rate": 8.238335879656834e-06, + "loss": 0.6525, + "step": 32210 + }, + { + "epoch": 2.56, + "learning_rate": 8.223645551768716e-06, + "loss": 0.681, + "step": 32220 + }, + { + "epoch": 2.56, + "learning_rate": 8.208955223880597e-06, + "loss": 0.63, + "step": 32230 + }, + { + "epoch": 2.56, + "learning_rate": 8.194264895992479e-06, + "loss": 0.6473, + "step": 32240 + }, + { + "epoch": 2.56, + "learning_rate": 8.17957456810436e-06, + "loss": 0.628, + "step": 32250 + }, + { + "epoch": 2.56, + "learning_rate": 8.164884240216242e-06, + "loss": 0.6194, + "step": 32260 + }, + { + "epoch": 2.56, + "learning_rate": 8.150193912328123e-06, + "loss": 0.6393, + "step": 32270 + }, + { + "epoch": 2.56, + "learning_rate": 8.135503584440005e-06, + "loss": 0.6494, + "step": 32280 + }, + { + "epoch": 2.56, + "learning_rate": 8.120813256551886e-06, + "loss": 0.6192, + "step": 32290 + }, + { + "epoch": 2.56, + "learning_rate": 8.10612292866377e-06, + "loss": 0.6404, + "step": 32300 + }, + { + "epoch": 2.56, + "learning_rate": 8.09143260077565e-06, + "loss": 0.6137, + "step": 32310 + }, + { + "epoch": 2.56, + "learning_rate": 8.076742272887532e-06, + "loss": 0.6403, + "step": 32320 + }, + { + "epoch": 2.56, + "learning_rate": 8.062051944999414e-06, + "loss": 0.5781, + "step": 32330 + }, + { + "epoch": 2.57, + "learning_rate": 8.047361617111295e-06, + "loss": 0.6513, + "step": 32340 + }, + { + "epoch": 2.57, + "learning_rate": 8.032671289223175e-06, + "loss": 0.6984, + "step": 32350 + }, + { + "epoch": 2.57, + "learning_rate": 8.017980961335057e-06, + "loss": 0.6276, + "step": 32360 + }, + { + "epoch": 2.57, + "learning_rate": 8.003290633446938e-06, + "loss": 0.6373, + "step": 32370 + }, + { + "epoch": 2.57, + "learning_rate": 7.98860030555882e-06, + "loss": 0.6498, + "step": 32380 + }, + { + "epoch": 2.57, + "learning_rate": 7.973909977670701e-06, + "loss": 0.6654, + "step": 32390 + }, + { + "epoch": 2.57, + "learning_rate": 7.959219649782583e-06, + "loss": 0.6759, + "step": 32400 + }, + { + "epoch": 2.57, + "learning_rate": 7.944529321894464e-06, + "loss": 0.612, + "step": 32410 + }, + { + "epoch": 2.57, + "learning_rate": 7.929838994006347e-06, + "loss": 0.6448, + "step": 32420 + }, + { + "epoch": 2.57, + "learning_rate": 7.915148666118229e-06, + "loss": 0.6608, + "step": 32430 + }, + { + "epoch": 2.57, + "learning_rate": 7.90045833823011e-06, + "loss": 0.6459, + "step": 32440 + }, + { + "epoch": 2.57, + "learning_rate": 7.885768010341992e-06, + "loss": 0.6734, + "step": 32450 + }, + { + "epoch": 2.57, + "learning_rate": 7.871077682453873e-06, + "loss": 0.6405, + "step": 32460 + }, + { + "epoch": 2.58, + "learning_rate": 7.856387354565755e-06, + "loss": 0.6332, + "step": 32470 + }, + { + "epoch": 2.58, + "learning_rate": 7.841697026677636e-06, + "loss": 0.6368, + "step": 32480 + }, + { + "epoch": 2.58, + "learning_rate": 7.827006698789518e-06, + "loss": 0.6857, + "step": 32490 + }, + { + "epoch": 2.58, + "learning_rate": 7.8123163709014e-06, + "loss": 0.6723, + "step": 32500 + }, + { + "epoch": 2.58, + "learning_rate": 7.79762604301328e-06, + "loss": 0.701, + "step": 32510 + }, + { + "epoch": 2.58, + "learning_rate": 7.78293571512516e-06, + "loss": 0.6663, + "step": 32520 + }, + { + "epoch": 2.58, + "learning_rate": 7.768245387237042e-06, + "loss": 0.6519, + "step": 32530 + }, + { + "epoch": 2.58, + "learning_rate": 7.753555059348925e-06, + "loss": 0.6774, + "step": 32540 + }, + { + "epoch": 2.58, + "learning_rate": 7.738864731460807e-06, + "loss": 0.6497, + "step": 32550 + }, + { + "epoch": 2.58, + "learning_rate": 7.724174403572688e-06, + "loss": 0.6883, + "step": 32560 + }, + { + "epoch": 2.58, + "learning_rate": 7.70948407568457e-06, + "loss": 0.6348, + "step": 32570 + }, + { + "epoch": 2.58, + "learning_rate": 7.694793747796451e-06, + "loss": 0.6601, + "step": 32580 + }, + { + "epoch": 2.59, + "learning_rate": 7.680103419908333e-06, + "loss": 0.6652, + "step": 32590 + }, + { + "epoch": 2.59, + "learning_rate": 7.665413092020214e-06, + "loss": 0.6192, + "step": 32600 + }, + { + "epoch": 2.59, + "learning_rate": 7.650722764132096e-06, + "loss": 0.6522, + "step": 32610 + }, + { + "epoch": 2.59, + "learning_rate": 7.636032436243977e-06, + "loss": 0.5849, + "step": 32620 + }, + { + "epoch": 2.59, + "learning_rate": 7.621342108355858e-06, + "loss": 0.62, + "step": 32630 + }, + { + "epoch": 2.59, + "learning_rate": 7.60665178046774e-06, + "loss": 0.6422, + "step": 32640 + }, + { + "epoch": 2.59, + "learning_rate": 7.591961452579623e-06, + "loss": 0.6296, + "step": 32650 + }, + { + "epoch": 2.59, + "learning_rate": 7.577271124691504e-06, + "loss": 0.683, + "step": 32660 + }, + { + "epoch": 2.59, + "learning_rate": 7.562580796803386e-06, + "loss": 0.6515, + "step": 32670 + }, + { + "epoch": 2.59, + "learning_rate": 7.5478904689152664e-06, + "loss": 0.6324, + "step": 32680 + }, + { + "epoch": 2.59, + "learning_rate": 7.533200141027148e-06, + "loss": 0.6835, + "step": 32690 + }, + { + "epoch": 2.59, + "learning_rate": 7.5185098131390295e-06, + "loss": 0.6466, + "step": 32700 + }, + { + "epoch": 2.59, + "learning_rate": 7.503819485250911e-06, + "loss": 0.6211, + "step": 32710 + }, + { + "epoch": 2.6, + "learning_rate": 7.4891291573627925e-06, + "loss": 0.6261, + "step": 32720 + }, + { + "epoch": 2.6, + "learning_rate": 7.474438829474674e-06, + "loss": 0.6308, + "step": 32730 + }, + { + "epoch": 2.6, + "learning_rate": 7.4597485015865555e-06, + "loss": 0.5964, + "step": 32740 + }, + { + "epoch": 2.6, + "learning_rate": 7.445058173698437e-06, + "loss": 0.6421, + "step": 32750 + }, + { + "epoch": 2.6, + "learning_rate": 7.4303678458103185e-06, + "loss": 0.6053, + "step": 32760 + }, + { + "epoch": 2.6, + "learning_rate": 7.415677517922201e-06, + "loss": 0.6717, + "step": 32770 + }, + { + "epoch": 2.6, + "learning_rate": 7.400987190034082e-06, + "loss": 0.6042, + "step": 32780 + }, + { + "epoch": 2.6, + "learning_rate": 7.386296862145964e-06, + "loss": 0.6661, + "step": 32790 + }, + { + "epoch": 2.6, + "learning_rate": 7.371606534257845e-06, + "loss": 0.6532, + "step": 32800 + }, + { + "epoch": 2.6, + "learning_rate": 7.356916206369727e-06, + "loss": 0.6788, + "step": 32810 + }, + { + "epoch": 2.6, + "learning_rate": 7.342225878481608e-06, + "loss": 0.6429, + "step": 32820 + }, + { + "epoch": 2.6, + "learning_rate": 7.32753555059349e-06, + "loss": 0.6813, + "step": 32830 + }, + { + "epoch": 2.61, + "learning_rate": 7.3128452227053705e-06, + "loss": 0.6367, + "step": 32840 + }, + { + "epoch": 2.61, + "learning_rate": 7.298154894817252e-06, + "loss": 0.6054, + "step": 32850 + }, + { + "epoch": 2.61, + "learning_rate": 7.2834645669291335e-06, + "loss": 0.6685, + "step": 32860 + }, + { + "epoch": 2.61, + "learning_rate": 7.268774239041015e-06, + "loss": 0.6514, + "step": 32870 + }, + { + "epoch": 2.61, + "learning_rate": 7.2540839111528966e-06, + "loss": 0.6285, + "step": 32880 + }, + { + "epoch": 2.61, + "learning_rate": 7.23939358326478e-06, + "loss": 0.6642, + "step": 32890 + }, + { + "epoch": 2.61, + "learning_rate": 7.22470325537666e-06, + "loss": 0.6474, + "step": 32900 + }, + { + "epoch": 2.61, + "learning_rate": 7.210012927488542e-06, + "loss": 0.6694, + "step": 32910 + }, + { + "epoch": 2.61, + "learning_rate": 7.195322599600423e-06, + "loss": 0.6487, + "step": 32920 + }, + { + "epoch": 2.61, + "learning_rate": 7.180632271712305e-06, + "loss": 0.627, + "step": 32930 + }, + { + "epoch": 2.61, + "learning_rate": 7.1659419438241864e-06, + "loss": 0.6357, + "step": 32940 + }, + { + "epoch": 2.61, + "learning_rate": 7.151251615936068e-06, + "loss": 0.6254, + "step": 32950 + }, + { + "epoch": 2.61, + "learning_rate": 7.1365612880479494e-06, + "loss": 0.5891, + "step": 32960 + }, + { + "epoch": 2.62, + "learning_rate": 7.121870960159831e-06, + "loss": 0.579, + "step": 32970 + }, + { + "epoch": 2.62, + "learning_rate": 7.1071806322717124e-06, + "loss": 0.6525, + "step": 32980 + }, + { + "epoch": 2.62, + "learning_rate": 7.092490304383594e-06, + "loss": 0.6505, + "step": 32990 + }, + { + "epoch": 2.62, + "learning_rate": 7.077799976495476e-06, + "loss": 0.6544, + "step": 33000 + }, + { + "epoch": 2.62, + "learning_rate": 7.063109648607358e-06, + "loss": 0.6661, + "step": 33010 + }, + { + "epoch": 2.62, + "learning_rate": 7.048419320719239e-06, + "loss": 0.6401, + "step": 33020 + }, + { + "epoch": 2.62, + "learning_rate": 7.033728992831121e-06, + "loss": 0.6923, + "step": 33030 + }, + { + "epoch": 2.62, + "learning_rate": 7.019038664943002e-06, + "loss": 0.6406, + "step": 33040 + }, + { + "epoch": 2.62, + "learning_rate": 7.004348337054884e-06, + "loss": 0.6287, + "step": 33050 + }, + { + "epoch": 2.62, + "learning_rate": 6.9896580091667645e-06, + "loss": 0.6588, + "step": 33060 + }, + { + "epoch": 2.62, + "learning_rate": 6.974967681278646e-06, + "loss": 0.6256, + "step": 33070 + }, + { + "epoch": 2.62, + "learning_rate": 6.9602773533905275e-06, + "loss": 0.5949, + "step": 33080 + }, + { + "epoch": 2.62, + "learning_rate": 6.945587025502409e-06, + "loss": 0.6203, + "step": 33090 + }, + { + "epoch": 2.63, + "learning_rate": 6.9308966976142905e-06, + "loss": 0.6554, + "step": 33100 + }, + { + "epoch": 2.63, + "learning_rate": 6.916206369726172e-06, + "loss": 0.6018, + "step": 33110 + }, + { + "epoch": 2.63, + "learning_rate": 6.901516041838054e-06, + "loss": 0.6755, + "step": 33120 + }, + { + "epoch": 2.63, + "learning_rate": 6.886825713949936e-06, + "loss": 0.6352, + "step": 33130 + }, + { + "epoch": 2.63, + "learning_rate": 6.872135386061817e-06, + "loss": 0.621, + "step": 33140 + }, + { + "epoch": 2.63, + "learning_rate": 6.857445058173699e-06, + "loss": 0.6517, + "step": 33150 + }, + { + "epoch": 2.63, + "learning_rate": 6.84275473028558e-06, + "loss": 0.6224, + "step": 33160 + }, + { + "epoch": 2.63, + "learning_rate": 6.828064402397462e-06, + "loss": 0.6688, + "step": 33170 + }, + { + "epoch": 2.63, + "learning_rate": 6.813374074509343e-06, + "loss": 0.6357, + "step": 33180 + }, + { + "epoch": 2.63, + "learning_rate": 6.798683746621225e-06, + "loss": 0.683, + "step": 33190 + }, + { + "epoch": 2.63, + "learning_rate": 6.783993418733106e-06, + "loss": 0.6513, + "step": 33200 + }, + { + "epoch": 2.63, + "learning_rate": 6.769303090844988e-06, + "loss": 0.6641, + "step": 33210 + }, + { + "epoch": 2.64, + "learning_rate": 6.7546127629568686e-06, + "loss": 0.6113, + "step": 33220 + }, + { + "epoch": 2.64, + "learning_rate": 6.73992243506875e-06, + "loss": 0.6306, + "step": 33230 + }, + { + "epoch": 2.64, + "learning_rate": 6.725232107180633e-06, + "loss": 0.6644, + "step": 33240 + }, + { + "epoch": 2.64, + "learning_rate": 6.710541779292515e-06, + "loss": 0.6792, + "step": 33250 + }, + { + "epoch": 2.64, + "learning_rate": 6.695851451404396e-06, + "loss": 0.6538, + "step": 33260 + }, + { + "epoch": 2.64, + "learning_rate": 6.681161123516278e-06, + "loss": 0.6761, + "step": 33270 + }, + { + "epoch": 2.64, + "learning_rate": 6.6664707956281584e-06, + "loss": 0.6531, + "step": 33280 + }, + { + "epoch": 2.64, + "learning_rate": 6.65178046774004e-06, + "loss": 0.6175, + "step": 33290 + }, + { + "epoch": 2.64, + "learning_rate": 6.6370901398519215e-06, + "loss": 0.6708, + "step": 33300 + }, + { + "epoch": 2.64, + "learning_rate": 6.622399811963803e-06, + "loss": 0.6247, + "step": 33310 + }, + { + "epoch": 2.64, + "learning_rate": 6.6077094840756845e-06, + "loss": 0.6432, + "step": 33320 + }, + { + "epoch": 2.64, + "learning_rate": 6.593019156187566e-06, + "loss": 0.6495, + "step": 33330 + }, + { + "epoch": 2.64, + "learning_rate": 6.5783288282994475e-06, + "loss": 0.6116, + "step": 33340 + }, + { + "epoch": 2.65, + "learning_rate": 6.56363850041133e-06, + "loss": 0.6699, + "step": 33350 + }, + { + "epoch": 2.65, + "learning_rate": 6.548948172523211e-06, + "loss": 0.6855, + "step": 33360 + }, + { + "epoch": 2.65, + "learning_rate": 6.534257844635093e-06, + "loss": 0.6272, + "step": 33370 + }, + { + "epoch": 2.65, + "learning_rate": 6.519567516746974e-06, + "loss": 0.6722, + "step": 33380 + }, + { + "epoch": 2.65, + "learning_rate": 6.504877188858856e-06, + "loss": 0.6183, + "step": 33390 + }, + { + "epoch": 2.65, + "learning_rate": 6.490186860970737e-06, + "loss": 0.613, + "step": 33400 + }, + { + "epoch": 2.65, + "learning_rate": 6.475496533082619e-06, + "loss": 0.6374, + "step": 33410 + }, + { + "epoch": 2.65, + "learning_rate": 6.4608062051945e-06, + "loss": 0.6395, + "step": 33420 + }, + { + "epoch": 2.65, + "learning_rate": 6.446115877306382e-06, + "loss": 0.6751, + "step": 33430 + }, + { + "epoch": 2.65, + "learning_rate": 6.4314255494182625e-06, + "loss": 0.6862, + "step": 33440 + }, + { + "epoch": 2.65, + "learning_rate": 6.416735221530144e-06, + "loss": 0.6488, + "step": 33450 + }, + { + "epoch": 2.65, + "learning_rate": 6.4020448936420255e-06, + "loss": 0.5763, + "step": 33460 + }, + { + "epoch": 2.66, + "learning_rate": 6.387354565753909e-06, + "loss": 0.6784, + "step": 33470 + }, + { + "epoch": 2.66, + "learning_rate": 6.37266423786579e-06, + "loss": 0.6572, + "step": 33480 + }, + { + "epoch": 2.66, + "learning_rate": 6.357973909977672e-06, + "loss": 0.7097, + "step": 33490 + }, + { + "epoch": 2.66, + "learning_rate": 6.343283582089552e-06, + "loss": 0.6716, + "step": 33500 + }, + { + "epoch": 2.66, + "learning_rate": 6.328593254201434e-06, + "loss": 0.6038, + "step": 33510 + }, + { + "epoch": 2.66, + "learning_rate": 6.313902926313315e-06, + "loss": 0.6563, + "step": 33520 + }, + { + "epoch": 2.66, + "learning_rate": 6.299212598425197e-06, + "loss": 0.6809, + "step": 33530 + }, + { + "epoch": 2.66, + "learning_rate": 6.2845222705370784e-06, + "loss": 0.6436, + "step": 33540 + }, + { + "epoch": 2.66, + "learning_rate": 6.26983194264896e-06, + "loss": 0.6456, + "step": 33550 + }, + { + "epoch": 2.66, + "learning_rate": 6.2551416147608414e-06, + "loss": 0.6371, + "step": 33560 + }, + { + "epoch": 2.66, + "learning_rate": 6.240451286872724e-06, + "loss": 0.6183, + "step": 33570 + }, + { + "epoch": 2.66, + "learning_rate": 6.2257609589846044e-06, + "loss": 0.632, + "step": 33580 + }, + { + "epoch": 2.66, + "learning_rate": 6.211070631096486e-06, + "loss": 0.603, + "step": 33590 + }, + { + "epoch": 2.67, + "learning_rate": 6.1963803032083675e-06, + "loss": 0.6362, + "step": 33600 + }, + { + "epoch": 2.67, + "learning_rate": 6.181689975320249e-06, + "loss": 0.641, + "step": 33610 + }, + { + "epoch": 2.67, + "learning_rate": 6.166999647432131e-06, + "loss": 0.7042, + "step": 33620 + }, + { + "epoch": 2.67, + "learning_rate": 6.152309319544013e-06, + "loss": 0.6166, + "step": 33630 + }, + { + "epoch": 2.67, + "learning_rate": 6.137618991655894e-06, + "loss": 0.6507, + "step": 33640 + }, + { + "epoch": 2.67, + "learning_rate": 6.122928663767776e-06, + "loss": 0.6712, + "step": 33650 + }, + { + "epoch": 2.67, + "learning_rate": 6.1082383358796565e-06, + "loss": 0.6839, + "step": 33660 + }, + { + "epoch": 2.67, + "learning_rate": 6.093548007991539e-06, + "loss": 0.6208, + "step": 33670 + }, + { + "epoch": 2.67, + "learning_rate": 6.07885768010342e-06, + "loss": 0.6154, + "step": 33680 + }, + { + "epoch": 2.67, + "learning_rate": 6.064167352215302e-06, + "loss": 0.6534, + "step": 33690 + }, + { + "epoch": 2.67, + "learning_rate": 6.049477024327183e-06, + "loss": 0.628, + "step": 33700 + }, + { + "epoch": 2.67, + "learning_rate": 6.034786696439065e-06, + "loss": 0.6157, + "step": 33710 + }, + { + "epoch": 2.67, + "learning_rate": 6.020096368550946e-06, + "loss": 0.6378, + "step": 33720 + }, + { + "epoch": 2.68, + "learning_rate": 6.005406040662828e-06, + "loss": 0.6138, + "step": 33730 + }, + { + "epoch": 2.68, + "learning_rate": 5.990715712774709e-06, + "loss": 0.6098, + "step": 33740 + }, + { + "epoch": 2.68, + "learning_rate": 5.976025384886591e-06, + "loss": 0.6728, + "step": 33750 + }, + { + "epoch": 2.68, + "learning_rate": 5.961335056998472e-06, + "loss": 0.6337, + "step": 33760 + }, + { + "epoch": 2.68, + "learning_rate": 5.946644729110354e-06, + "loss": 0.6499, + "step": 33770 + }, + { + "epoch": 2.68, + "learning_rate": 5.931954401222235e-06, + "loss": 0.614, + "step": 33780 + }, + { + "epoch": 2.68, + "learning_rate": 5.917264073334118e-06, + "loss": 0.5943, + "step": 33790 + }, + { + "epoch": 2.68, + "learning_rate": 5.902573745445998e-06, + "loss": 0.6328, + "step": 33800 + }, + { + "epoch": 2.68, + "learning_rate": 5.88788341755788e-06, + "loss": 0.6209, + "step": 33810 + }, + { + "epoch": 2.68, + "learning_rate": 5.873193089669761e-06, + "loss": 0.62, + "step": 33820 + }, + { + "epoch": 2.68, + "learning_rate": 5.858502761781643e-06, + "loss": 0.6482, + "step": 33830 + }, + { + "epoch": 2.68, + "learning_rate": 5.843812433893524e-06, + "loss": 0.6724, + "step": 33840 + }, + { + "epoch": 2.69, + "learning_rate": 5.829122106005407e-06, + "loss": 0.653, + "step": 33850 + }, + { + "epoch": 2.69, + "learning_rate": 5.814431778117288e-06, + "loss": 0.6598, + "step": 33860 + }, + { + "epoch": 2.69, + "learning_rate": 5.79974145022917e-06, + "loss": 0.643, + "step": 33870 + }, + { + "epoch": 2.69, + "learning_rate": 5.7850511223410504e-06, + "loss": 0.6568, + "step": 33880 + }, + { + "epoch": 2.69, + "learning_rate": 5.770360794452932e-06, + "loss": 0.6433, + "step": 33890 + }, + { + "epoch": 2.69, + "learning_rate": 5.7556704665648135e-06, + "loss": 0.6404, + "step": 33900 + }, + { + "epoch": 2.69, + "learning_rate": 5.740980138676696e-06, + "loss": 0.6288, + "step": 33910 + }, + { + "epoch": 2.69, + "learning_rate": 5.726289810788577e-06, + "loss": 0.6496, + "step": 33920 + }, + { + "epoch": 2.69, + "learning_rate": 5.711599482900459e-06, + "loss": 0.6142, + "step": 33930 + }, + { + "epoch": 2.69, + "learning_rate": 5.69690915501234e-06, + "loss": 0.6866, + "step": 33940 + }, + { + "epoch": 2.69, + "learning_rate": 5.682218827124222e-06, + "loss": 0.6472, + "step": 33950 + }, + { + "epoch": 2.69, + "learning_rate": 5.6675284992361025e-06, + "loss": 0.6233, + "step": 33960 + }, + { + "epoch": 2.69, + "learning_rate": 5.652838171347985e-06, + "loss": 0.6808, + "step": 33970 + }, + { + "epoch": 2.7, + "learning_rate": 5.638147843459866e-06, + "loss": 0.6711, + "step": 33980 + }, + { + "epoch": 2.7, + "learning_rate": 5.623457515571748e-06, + "loss": 0.6351, + "step": 33990 + }, + { + "epoch": 2.7, + "learning_rate": 5.608767187683629e-06, + "loss": 0.6587, + "step": 34000 + }, + { + "epoch": 2.7, + "learning_rate": 5.594076859795511e-06, + "loss": 0.6717, + "step": 34010 + }, + { + "epoch": 2.7, + "learning_rate": 5.579386531907392e-06, + "loss": 0.6258, + "step": 34020 + }, + { + "epoch": 2.7, + "learning_rate": 5.564696204019274e-06, + "loss": 0.6367, + "step": 34030 + }, + { + "epoch": 2.7, + "learning_rate": 5.550005876131155e-06, + "loss": 0.5942, + "step": 34040 + }, + { + "epoch": 2.7, + "learning_rate": 5.535315548243037e-06, + "loss": 0.5863, + "step": 34050 + }, + { + "epoch": 2.7, + "learning_rate": 5.520625220354918e-06, + "loss": 0.6668, + "step": 34060 + }, + { + "epoch": 2.7, + "learning_rate": 5.5059348924668e-06, + "loss": 0.6876, + "step": 34070 + }, + { + "epoch": 2.7, + "learning_rate": 5.491244564578682e-06, + "loss": 0.5955, + "step": 34080 + }, + { + "epoch": 2.7, + "learning_rate": 5.476554236690564e-06, + "loss": 0.6641, + "step": 34090 + }, + { + "epoch": 2.71, + "learning_rate": 5.461863908802444e-06, + "loss": 0.6275, + "step": 34100 + }, + { + "epoch": 2.71, + "learning_rate": 5.447173580914326e-06, + "loss": 0.6625, + "step": 34110 + }, + { + "epoch": 2.71, + "learning_rate": 5.432483253026207e-06, + "loss": 0.638, + "step": 34120 + }, + { + "epoch": 2.71, + "learning_rate": 5.417792925138089e-06, + "loss": 0.6584, + "step": 34130 + }, + { + "epoch": 2.71, + "learning_rate": 5.403102597249971e-06, + "loss": 0.6152, + "step": 34140 + }, + { + "epoch": 2.71, + "learning_rate": 5.388412269361853e-06, + "loss": 0.6469, + "step": 34150 + }, + { + "epoch": 2.71, + "learning_rate": 5.373721941473734e-06, + "loss": 0.6624, + "step": 34160 + }, + { + "epoch": 2.71, + "learning_rate": 5.359031613585616e-06, + "loss": 0.6716, + "step": 34170 + }, + { + "epoch": 2.71, + "learning_rate": 5.3443412856974964e-06, + "loss": 0.6613, + "step": 34180 + }, + { + "epoch": 2.71, + "learning_rate": 5.329650957809378e-06, + "loss": 0.6516, + "step": 34190 + }, + { + "epoch": 2.71, + "learning_rate": 5.31496062992126e-06, + "loss": 0.6597, + "step": 34200 + }, + { + "epoch": 2.71, + "learning_rate": 5.300270302033142e-06, + "loss": 0.6466, + "step": 34210 + }, + { + "epoch": 2.71, + "learning_rate": 5.285579974145023e-06, + "loss": 0.6522, + "step": 34220 + }, + { + "epoch": 2.72, + "learning_rate": 5.270889646256905e-06, + "loss": 0.6188, + "step": 34230 + }, + { + "epoch": 2.72, + "learning_rate": 5.256199318368786e-06, + "loss": 0.6877, + "step": 34240 + }, + { + "epoch": 2.72, + "learning_rate": 5.241508990480668e-06, + "loss": 0.691, + "step": 34250 + }, + { + "epoch": 2.72, + "learning_rate": 5.226818662592549e-06, + "loss": 0.6273, + "step": 34260 + }, + { + "epoch": 2.72, + "learning_rate": 5.212128334704431e-06, + "loss": 0.6048, + "step": 34270 + }, + { + "epoch": 2.72, + "learning_rate": 5.197438006816312e-06, + "loss": 0.6174, + "step": 34280 + }, + { + "epoch": 2.72, + "learning_rate": 5.182747678928194e-06, + "loss": 0.6198, + "step": 34290 + }, + { + "epoch": 2.72, + "learning_rate": 5.168057351040075e-06, + "loss": 0.6524, + "step": 34300 + }, + { + "epoch": 2.72, + "learning_rate": 5.153367023151957e-06, + "loss": 0.6345, + "step": 34310 + }, + { + "epoch": 2.72, + "learning_rate": 5.138676695263838e-06, + "loss": 0.6783, + "step": 34320 + }, + { + "epoch": 2.72, + "learning_rate": 5.12398636737572e-06, + "loss": 0.6472, + "step": 34330 + }, + { + "epoch": 2.72, + "learning_rate": 5.109296039487601e-06, + "loss": 0.6641, + "step": 34340 + }, + { + "epoch": 2.72, + "learning_rate": 5.094605711599483e-06, + "loss": 0.6123, + "step": 34350 + }, + { + "epoch": 2.73, + "learning_rate": 5.079915383711364e-06, + "loss": 0.6515, + "step": 34360 + }, + { + "epoch": 2.73, + "learning_rate": 5.065225055823247e-06, + "loss": 0.6831, + "step": 34370 + }, + { + "epoch": 2.73, + "learning_rate": 5.050534727935128e-06, + "loss": 0.6484, + "step": 34380 + }, + { + "epoch": 2.73, + "learning_rate": 5.03584440004701e-06, + "loss": 0.6401, + "step": 34390 + }, + { + "epoch": 2.73, + "learning_rate": 5.02115407215889e-06, + "loss": 0.6351, + "step": 34400 + }, + { + "epoch": 2.73, + "learning_rate": 5.006463744270772e-06, + "loss": 0.6077, + "step": 34410 + }, + { + "epoch": 2.73, + "learning_rate": 4.991773416382653e-06, + "loss": 0.6492, + "step": 34420 + }, + { + "epoch": 2.73, + "learning_rate": 4.977083088494536e-06, + "loss": 0.6717, + "step": 34430 + }, + { + "epoch": 2.73, + "learning_rate": 4.962392760606417e-06, + "loss": 0.6537, + "step": 34440 + }, + { + "epoch": 2.73, + "learning_rate": 4.947702432718299e-06, + "loss": 0.6733, + "step": 34450 + }, + { + "epoch": 2.73, + "learning_rate": 4.93301210483018e-06, + "loss": 0.6133, + "step": 34460 + }, + { + "epoch": 2.73, + "learning_rate": 4.918321776942062e-06, + "loss": 0.688, + "step": 34470 + }, + { + "epoch": 2.74, + "learning_rate": 4.9036314490539424e-06, + "loss": 0.6123, + "step": 34480 + }, + { + "epoch": 2.74, + "learning_rate": 4.888941121165825e-06, + "loss": 0.6349, + "step": 34490 + }, + { + "epoch": 2.74, + "learning_rate": 4.874250793277706e-06, + "loss": 0.635, + "step": 34500 + }, + { + "epoch": 2.74, + "learning_rate": 4.859560465389588e-06, + "loss": 0.675, + "step": 34510 + }, + { + "epoch": 2.74, + "learning_rate": 4.844870137501469e-06, + "loss": 0.6254, + "step": 34520 + }, + { + "epoch": 2.74, + "learning_rate": 4.830179809613351e-06, + "loss": 0.6477, + "step": 34530 + }, + { + "epoch": 2.74, + "learning_rate": 4.815489481725232e-06, + "loss": 0.6538, + "step": 34540 + }, + { + "epoch": 2.74, + "learning_rate": 4.800799153837114e-06, + "loss": 0.6533, + "step": 34550 + }, + { + "epoch": 2.74, + "learning_rate": 4.786108825948995e-06, + "loss": 0.6886, + "step": 34560 + }, + { + "epoch": 2.74, + "learning_rate": 4.771418498060877e-06, + "loss": 0.6431, + "step": 34570 + }, + { + "epoch": 2.74, + "learning_rate": 4.756728170172758e-06, + "loss": 0.6429, + "step": 34580 + }, + { + "epoch": 2.74, + "learning_rate": 4.74203784228464e-06, + "loss": 0.6752, + "step": 34590 + }, + { + "epoch": 2.74, + "learning_rate": 4.727347514396521e-06, + "loss": 0.6421, + "step": 34600 + }, + { + "epoch": 2.75, + "learning_rate": 4.712657186508404e-06, + "loss": 0.6562, + "step": 34610 + }, + { + "epoch": 2.75, + "learning_rate": 4.697966858620284e-06, + "loss": 0.6439, + "step": 34620 + }, + { + "epoch": 2.75, + "learning_rate": 4.683276530732166e-06, + "loss": 0.6369, + "step": 34630 + }, + { + "epoch": 2.75, + "learning_rate": 4.668586202844047e-06, + "loss": 0.6614, + "step": 34640 + }, + { + "epoch": 2.75, + "learning_rate": 4.653895874955929e-06, + "loss": 0.679, + "step": 34650 + }, + { + "epoch": 2.75, + "learning_rate": 4.63920554706781e-06, + "loss": 0.6437, + "step": 34660 + }, + { + "epoch": 2.75, + "learning_rate": 4.624515219179693e-06, + "loss": 0.6033, + "step": 34670 + }, + { + "epoch": 2.75, + "learning_rate": 4.609824891291574e-06, + "loss": 0.591, + "step": 34680 + }, + { + "epoch": 2.75, + "learning_rate": 4.595134563403456e-06, + "loss": 0.6358, + "step": 34690 + }, + { + "epoch": 2.75, + "learning_rate": 4.580444235515336e-06, + "loss": 0.5958, + "step": 34700 + }, + { + "epoch": 2.75, + "learning_rate": 4.565753907627218e-06, + "loss": 0.6211, + "step": 34710 + }, + { + "epoch": 2.75, + "learning_rate": 4.5510635797391e-06, + "loss": 0.6733, + "step": 34720 + }, + { + "epoch": 2.75, + "learning_rate": 4.536373251850982e-06, + "loss": 0.6417, + "step": 34730 + }, + { + "epoch": 2.76, + "learning_rate": 4.521682923962863e-06, + "loss": 0.6295, + "step": 34740 + }, + { + "epoch": 2.76, + "learning_rate": 4.506992596074745e-06, + "loss": 0.6377, + "step": 34750 + }, + { + "epoch": 2.76, + "learning_rate": 4.492302268186626e-06, + "loss": 0.6146, + "step": 34760 + }, + { + "epoch": 2.76, + "learning_rate": 4.477611940298508e-06, + "loss": 0.647, + "step": 34770 + }, + { + "epoch": 2.76, + "learning_rate": 4.462921612410389e-06, + "loss": 0.6545, + "step": 34780 + }, + { + "epoch": 2.76, + "learning_rate": 4.448231284522271e-06, + "loss": 0.6617, + "step": 34790 + }, + { + "epoch": 2.76, + "learning_rate": 4.433540956634152e-06, + "loss": 0.642, + "step": 34800 + }, + { + "epoch": 2.76, + "learning_rate": 4.418850628746034e-06, + "loss": 0.6553, + "step": 34810 + }, + { + "epoch": 2.76, + "learning_rate": 4.404160300857915e-06, + "loss": 0.682, + "step": 34820 + }, + { + "epoch": 2.76, + "learning_rate": 4.389469972969797e-06, + "loss": 0.6523, + "step": 34830 + }, + { + "epoch": 2.76, + "learning_rate": 4.374779645081678e-06, + "loss": 0.6327, + "step": 34840 + }, + { + "epoch": 2.76, + "learning_rate": 4.36008931719356e-06, + "loss": 0.6834, + "step": 34850 + }, + { + "epoch": 2.77, + "learning_rate": 4.345398989305441e-06, + "loss": 0.6328, + "step": 34860 + }, + { + "epoch": 2.77, + "learning_rate": 4.330708661417323e-06, + "loss": 0.6373, + "step": 34870 + }, + { + "epoch": 2.77, + "learning_rate": 4.316018333529204e-06, + "loss": 0.6773, + "step": 34880 + }, + { + "epoch": 2.77, + "learning_rate": 4.301328005641086e-06, + "loss": 0.6397, + "step": 34890 + }, + { + "epoch": 2.77, + "learning_rate": 4.286637677752968e-06, + "loss": 0.6309, + "step": 34900 + }, + { + "epoch": 2.77, + "learning_rate": 4.27194734986485e-06, + "loss": 0.6705, + "step": 34910 + }, + { + "epoch": 2.77, + "learning_rate": 4.25725702197673e-06, + "loss": 0.6318, + "step": 34920 + }, + { + "epoch": 2.77, + "learning_rate": 4.242566694088612e-06, + "loss": 0.6234, + "step": 34930 + }, + { + "epoch": 2.77, + "learning_rate": 4.227876366200493e-06, + "loss": 0.6724, + "step": 34940 + }, + { + "epoch": 2.77, + "learning_rate": 4.213186038312375e-06, + "loss": 0.7067, + "step": 34950 + }, + { + "epoch": 2.77, + "learning_rate": 4.198495710424257e-06, + "loss": 0.6482, + "step": 34960 + }, + { + "epoch": 2.77, + "learning_rate": 4.183805382536139e-06, + "loss": 0.6464, + "step": 34970 + }, + { + "epoch": 2.77, + "learning_rate": 4.16911505464802e-06, + "loss": 0.6158, + "step": 34980 + }, + { + "epoch": 2.78, + "learning_rate": 4.154424726759902e-06, + "loss": 0.6447, + "step": 34990 + }, + { + "epoch": 2.78, + "learning_rate": 4.139734398871782e-06, + "loss": 0.6608, + "step": 35000 + }, + { + "epoch": 2.78, + "learning_rate": 4.125044070983664e-06, + "loss": 0.623, + "step": 35010 + }, + { + "epoch": 2.78, + "learning_rate": 4.110353743095546e-06, + "loss": 0.6629, + "step": 35020 + }, + { + "epoch": 2.78, + "learning_rate": 4.095663415207428e-06, + "loss": 0.6245, + "step": 35030 + }, + { + "epoch": 2.78, + "learning_rate": 4.080973087319309e-06, + "loss": 0.6402, + "step": 35040 + }, + { + "epoch": 2.78, + "learning_rate": 4.066282759431191e-06, + "loss": 0.6438, + "step": 35050 + }, + { + "epoch": 2.78, + "learning_rate": 4.051592431543072e-06, + "loss": 0.6822, + "step": 35060 + }, + { + "epoch": 2.78, + "learning_rate": 4.036902103654954e-06, + "loss": 0.6068, + "step": 35070 + }, + { + "epoch": 2.78, + "learning_rate": 4.022211775766835e-06, + "loss": 0.6089, + "step": 35080 + }, + { + "epoch": 2.78, + "learning_rate": 4.007521447878717e-06, + "loss": 0.63, + "step": 35090 + }, + { + "epoch": 2.78, + "learning_rate": 3.992831119990598e-06, + "loss": 0.6715, + "step": 35100 + }, + { + "epoch": 2.79, + "learning_rate": 3.97814079210248e-06, + "loss": 0.6241, + "step": 35110 + }, + { + "epoch": 2.79, + "learning_rate": 3.963450464214361e-06, + "loss": 0.6245, + "step": 35120 + }, + { + "epoch": 2.79, + "learning_rate": 3.948760136326244e-06, + "loss": 0.6552, + "step": 35130 + }, + { + "epoch": 2.79, + "learning_rate": 3.934069808438124e-06, + "loss": 0.6641, + "step": 35140 + }, + { + "epoch": 2.79, + "learning_rate": 3.919379480550006e-06, + "loss": 0.6741, + "step": 35150 + }, + { + "epoch": 2.79, + "learning_rate": 3.904689152661887e-06, + "loss": 0.6266, + "step": 35160 + }, + { + "epoch": 2.79, + "learning_rate": 3.889998824773769e-06, + "loss": 0.626, + "step": 35170 + }, + { + "epoch": 2.79, + "learning_rate": 3.87530849688565e-06, + "loss": 0.6638, + "step": 35180 + }, + { + "epoch": 2.79, + "learning_rate": 3.860618168997533e-06, + "loss": 0.6722, + "step": 35190 + }, + { + "epoch": 2.79, + "learning_rate": 3.845927841109414e-06, + "loss": 0.662, + "step": 35200 + }, + { + "epoch": 2.79, + "learning_rate": 3.831237513221296e-06, + "loss": 0.6674, + "step": 35210 + }, + { + "epoch": 2.79, + "learning_rate": 3.816547185333176e-06, + "loss": 0.6556, + "step": 35220 + }, + { + "epoch": 2.79, + "learning_rate": 3.8018568574450583e-06, + "loss": 0.6132, + "step": 35230 + }, + { + "epoch": 2.8, + "learning_rate": 3.7871665295569398e-06, + "loss": 0.6628, + "step": 35240 + }, + { + "epoch": 2.8, + "learning_rate": 3.7724762016688217e-06, + "loss": 0.6281, + "step": 35250 + }, + { + "epoch": 2.8, + "learning_rate": 3.7577858737807032e-06, + "loss": 0.689, + "step": 35260 + }, + { + "epoch": 2.8, + "learning_rate": 3.7430955458925847e-06, + "loss": 0.6326, + "step": 35270 + }, + { + "epoch": 2.8, + "learning_rate": 3.728405218004466e-06, + "loss": 0.6588, + "step": 35280 + }, + { + "epoch": 2.8, + "learning_rate": 3.7137148901163473e-06, + "loss": 0.6664, + "step": 35290 + }, + { + "epoch": 2.8, + "learning_rate": 3.699024562228229e-06, + "loss": 0.6098, + "step": 35300 + }, + { + "epoch": 2.8, + "learning_rate": 3.6843342343401107e-06, + "loss": 0.6194, + "step": 35310 + }, + { + "epoch": 2.8, + "learning_rate": 3.6696439064519922e-06, + "loss": 0.6569, + "step": 35320 + }, + { + "epoch": 2.8, + "learning_rate": 3.6549535785638738e-06, + "loss": 0.6424, + "step": 35330 + }, + { + "epoch": 2.8, + "learning_rate": 3.6402632506757553e-06, + "loss": 0.5929, + "step": 35340 + }, + { + "epoch": 2.8, + "learning_rate": 3.6255729227876368e-06, + "loss": 0.6747, + "step": 35350 + }, + { + "epoch": 2.8, + "learning_rate": 3.610882594899518e-06, + "loss": 0.6549, + "step": 35360 + }, + { + "epoch": 2.81, + "learning_rate": 3.5961922670114e-06, + "loss": 0.6486, + "step": 35370 + }, + { + "epoch": 2.81, + "learning_rate": 3.5815019391232817e-06, + "loss": 0.6409, + "step": 35380 + }, + { + "epoch": 2.81, + "learning_rate": 3.5668116112351628e-06, + "loss": 0.6057, + "step": 35390 + }, + { + "epoch": 2.81, + "learning_rate": 3.5521212833470443e-06, + "loss": 0.5649, + "step": 35400 + }, + { + "epoch": 2.81, + "learning_rate": 3.537430955458926e-06, + "loss": 0.6743, + "step": 35410 + }, + { + "epoch": 2.81, + "learning_rate": 3.5227406275708077e-06, + "loss": 0.6188, + "step": 35420 + }, + { + "epoch": 2.81, + "learning_rate": 3.5080502996826892e-06, + "loss": 0.6369, + "step": 35430 + }, + { + "epoch": 2.81, + "learning_rate": 3.4933599717945707e-06, + "loss": 0.6582, + "step": 35440 + }, + { + "epoch": 2.81, + "learning_rate": 3.4786696439064522e-06, + "loss": 0.5874, + "step": 35450 + }, + { + "epoch": 2.81, + "learning_rate": 3.4639793160183337e-06, + "loss": 0.6978, + "step": 35460 + }, + { + "epoch": 2.81, + "learning_rate": 3.449288988130215e-06, + "loss": 0.64, + "step": 35470 + }, + { + "epoch": 2.81, + "learning_rate": 3.434598660242097e-06, + "loss": 0.6687, + "step": 35480 + }, + { + "epoch": 2.82, + "learning_rate": 3.4199083323539787e-06, + "loss": 0.6156, + "step": 35490 + }, + { + "epoch": 2.82, + "learning_rate": 3.4052180044658598e-06, + "loss": 0.668, + "step": 35500 + }, + { + "epoch": 2.82, + "learning_rate": 3.3905276765777413e-06, + "loss": 0.6322, + "step": 35510 + }, + { + "epoch": 2.82, + "learning_rate": 3.3758373486896228e-06, + "loss": 0.6544, + "step": 35520 + }, + { + "epoch": 2.82, + "learning_rate": 3.3611470208015043e-06, + "loss": 0.6537, + "step": 35530 + }, + { + "epoch": 2.82, + "learning_rate": 3.346456692913386e-06, + "loss": 0.6418, + "step": 35540 + }, + { + "epoch": 2.82, + "learning_rate": 3.3317663650252677e-06, + "loss": 0.6286, + "step": 35550 + }, + { + "epoch": 2.82, + "learning_rate": 3.3170760371371492e-06, + "loss": 0.6902, + "step": 35560 + }, + { + "epoch": 2.82, + "learning_rate": 3.3023857092490307e-06, + "loss": 0.6274, + "step": 35570 + }, + { + "epoch": 2.82, + "learning_rate": 3.287695381360912e-06, + "loss": 0.6194, + "step": 35580 + }, + { + "epoch": 2.82, + "learning_rate": 3.2730050534727933e-06, + "loss": 0.6289, + "step": 35590 + }, + { + "epoch": 2.82, + "learning_rate": 3.2583147255846757e-06, + "loss": 0.632, + "step": 35600 + }, + { + "epoch": 2.82, + "learning_rate": 3.2436243976965567e-06, + "loss": 0.6616, + "step": 35610 + }, + { + "epoch": 2.83, + "learning_rate": 3.2289340698084382e-06, + "loss": 0.6317, + "step": 35620 + }, + { + "epoch": 2.83, + "learning_rate": 3.2142437419203198e-06, + "loss": 0.6534, + "step": 35630 + }, + { + "epoch": 2.83, + "learning_rate": 3.1995534140322013e-06, + "loss": 0.6746, + "step": 35640 + }, + { + "epoch": 2.83, + "learning_rate": 3.1848630861440828e-06, + "loss": 0.5763, + "step": 35650 + }, + { + "epoch": 2.83, + "learning_rate": 3.1701727582559647e-06, + "loss": 0.6306, + "step": 35660 + }, + { + "epoch": 2.83, + "learning_rate": 3.155482430367846e-06, + "loss": 0.6433, + "step": 35670 + }, + { + "epoch": 2.83, + "learning_rate": 3.1407921024797277e-06, + "loss": 0.6521, + "step": 35680 + }, + { + "epoch": 2.83, + "learning_rate": 3.1261017745916088e-06, + "loss": 0.5778, + "step": 35690 + }, + { + "epoch": 2.83, + "learning_rate": 3.1114114467034907e-06, + "loss": 0.6644, + "step": 35700 + }, + { + "epoch": 2.83, + "learning_rate": 3.0967211188153722e-06, + "loss": 0.6322, + "step": 35710 + }, + { + "epoch": 2.83, + "learning_rate": 3.0820307909272537e-06, + "loss": 0.6784, + "step": 35720 + }, + { + "epoch": 2.83, + "learning_rate": 3.0673404630391352e-06, + "loss": 0.5989, + "step": 35730 + }, + { + "epoch": 2.84, + "learning_rate": 3.0526501351510167e-06, + "loss": 0.6556, + "step": 35740 + }, + { + "epoch": 2.84, + "learning_rate": 3.0379598072628982e-06, + "loss": 0.653, + "step": 35750 + }, + { + "epoch": 2.84, + "learning_rate": 3.0232694793747797e-06, + "loss": 0.6589, + "step": 35760 + }, + { + "epoch": 2.84, + "learning_rate": 3.0085791514866612e-06, + "loss": 0.625, + "step": 35770 + }, + { + "epoch": 2.84, + "learning_rate": 2.9938888235985428e-06, + "loss": 0.5994, + "step": 35780 + }, + { + "epoch": 2.84, + "learning_rate": 2.9791984957104247e-06, + "loss": 0.6294, + "step": 35790 + }, + { + "epoch": 2.84, + "learning_rate": 2.9645081678223058e-06, + "loss": 0.6076, + "step": 35800 + }, + { + "epoch": 2.84, + "learning_rate": 2.9498178399341873e-06, + "loss": 0.6497, + "step": 35810 + }, + { + "epoch": 2.84, + "learning_rate": 2.935127512046069e-06, + "loss": 0.6397, + "step": 35820 + }, + { + "epoch": 2.84, + "learning_rate": 2.9204371841579507e-06, + "loss": 0.6549, + "step": 35830 + }, + { + "epoch": 2.84, + "learning_rate": 2.9057468562698318e-06, + "loss": 0.6228, + "step": 35840 + }, + { + "epoch": 2.84, + "learning_rate": 2.8910565283817137e-06, + "loss": 0.6329, + "step": 35850 + }, + { + "epoch": 2.84, + "learning_rate": 2.8763662004935952e-06, + "loss": 0.6337, + "step": 35860 + }, + { + "epoch": 2.85, + "learning_rate": 2.8616758726054767e-06, + "loss": 0.6505, + "step": 35870 + }, + { + "epoch": 2.85, + "learning_rate": 2.8469855447173582e-06, + "loss": 0.6496, + "step": 35880 + }, + { + "epoch": 2.85, + "learning_rate": 2.8322952168292397e-06, + "loss": 0.6378, + "step": 35890 + }, + { + "epoch": 2.85, + "learning_rate": 2.8176048889411212e-06, + "loss": 0.7137, + "step": 35900 + }, + { + "epoch": 2.85, + "learning_rate": 2.8029145610530027e-06, + "loss": 0.6609, + "step": 35910 + }, + { + "epoch": 2.85, + "learning_rate": 2.7882242331648842e-06, + "loss": 0.647, + "step": 35920 + }, + { + "epoch": 2.85, + "learning_rate": 2.7735339052767658e-06, + "loss": 0.676, + "step": 35930 + }, + { + "epoch": 2.85, + "learning_rate": 2.7588435773886477e-06, + "loss": 0.6353, + "step": 35940 + }, + { + "epoch": 2.85, + "learning_rate": 2.7441532495005288e-06, + "loss": 0.6195, + "step": 35950 + }, + { + "epoch": 2.85, + "learning_rate": 2.7294629216124107e-06, + "loss": 0.632, + "step": 35960 + }, + { + "epoch": 2.85, + "learning_rate": 2.714772593724292e-06, + "loss": 0.6287, + "step": 35970 + }, + { + "epoch": 2.85, + "learning_rate": 2.7000822658361737e-06, + "loss": 0.6762, + "step": 35980 + }, + { + "epoch": 2.85, + "learning_rate": 2.685391937948055e-06, + "loss": 0.6911, + "step": 35990 + }, + { + "epoch": 2.86, + "learning_rate": 2.6707016100599367e-06, + "loss": 0.624, + "step": 36000 + }, + { + "epoch": 2.86, + "learning_rate": 2.6560112821718182e-06, + "loss": 0.65, + "step": 36010 + }, + { + "epoch": 2.86, + "learning_rate": 2.6413209542836997e-06, + "loss": 0.6169, + "step": 36020 + }, + { + "epoch": 2.86, + "learning_rate": 2.6266306263955812e-06, + "loss": 0.656, + "step": 36030 + }, + { + "epoch": 2.86, + "learning_rate": 2.6119402985074627e-06, + "loss": 0.6295, + "step": 36040 + }, + { + "epoch": 2.86, + "learning_rate": 2.5972499706193447e-06, + "loss": 0.6621, + "step": 36050 + }, + { + "epoch": 2.86, + "learning_rate": 2.5825596427312257e-06, + "loss": 0.617, + "step": 36060 + }, + { + "epoch": 2.86, + "learning_rate": 2.5678693148431072e-06, + "loss": 0.698, + "step": 36070 + }, + { + "epoch": 2.86, + "learning_rate": 2.553178986954989e-06, + "loss": 0.6489, + "step": 36080 + }, + { + "epoch": 2.86, + "learning_rate": 2.5384886590668707e-06, + "loss": 0.6289, + "step": 36090 + }, + { + "epoch": 2.86, + "learning_rate": 2.5237983311787518e-06, + "loss": 0.6672, + "step": 36100 + }, + { + "epoch": 2.86, + "learning_rate": 2.5091080032906337e-06, + "loss": 0.5994, + "step": 36110 + }, + { + "epoch": 2.87, + "learning_rate": 2.494417675402515e-06, + "loss": 0.6722, + "step": 36120 + }, + { + "epoch": 2.87, + "learning_rate": 2.4797273475143967e-06, + "loss": 0.6685, + "step": 36130 + }, + { + "epoch": 2.87, + "learning_rate": 2.465037019626278e-06, + "loss": 0.6753, + "step": 36140 + }, + { + "epoch": 2.87, + "learning_rate": 2.4503466917381597e-06, + "loss": 0.666, + "step": 36150 + }, + { + "epoch": 2.87, + "learning_rate": 2.4356563638500412e-06, + "loss": 0.6345, + "step": 36160 + }, + { + "epoch": 2.87, + "learning_rate": 2.4209660359619227e-06, + "loss": 0.6519, + "step": 36170 + }, + { + "epoch": 2.87, + "learning_rate": 2.4062757080738042e-06, + "loss": 0.6676, + "step": 36180 + }, + { + "epoch": 2.87, + "learning_rate": 2.3915853801856857e-06, + "loss": 0.6388, + "step": 36190 + }, + { + "epoch": 2.87, + "learning_rate": 2.3768950522975677e-06, + "loss": 0.5982, + "step": 36200 + }, + { + "epoch": 2.87, + "learning_rate": 2.3622047244094487e-06, + "loss": 0.6267, + "step": 36210 + }, + { + "epoch": 2.87, + "learning_rate": 2.3475143965213302e-06, + "loss": 0.695, + "step": 36220 + }, + { + "epoch": 2.87, + "learning_rate": 2.332824068633212e-06, + "loss": 0.6378, + "step": 36230 + }, + { + "epoch": 2.87, + "learning_rate": 2.3181337407450937e-06, + "loss": 0.5946, + "step": 36240 + }, + { + "epoch": 2.88, + "learning_rate": 2.3034434128569748e-06, + "loss": 0.6207, + "step": 36250 + }, + { + "epoch": 2.88, + "learning_rate": 2.2887530849688567e-06, + "loss": 0.6639, + "step": 36260 + }, + { + "epoch": 2.88, + "learning_rate": 2.274062757080738e-06, + "loss": 0.6364, + "step": 36270 + }, + { + "epoch": 2.88, + "learning_rate": 2.2593724291926197e-06, + "loss": 0.6527, + "step": 36280 + }, + { + "epoch": 2.88, + "learning_rate": 2.244682101304501e-06, + "loss": 0.6137, + "step": 36290 + }, + { + "epoch": 2.88, + "learning_rate": 2.2299917734163827e-06, + "loss": 0.7045, + "step": 36300 + }, + { + "epoch": 2.88, + "learning_rate": 2.2153014455282646e-06, + "loss": 0.6114, + "step": 36310 + }, + { + "epoch": 2.88, + "learning_rate": 2.2006111176401457e-06, + "loss": 0.6264, + "step": 36320 + }, + { + "epoch": 2.88, + "learning_rate": 2.1859207897520272e-06, + "loss": 0.6379, + "step": 36330 + }, + { + "epoch": 2.88, + "learning_rate": 2.171230461863909e-06, + "loss": 0.6203, + "step": 36340 + }, + { + "epoch": 2.88, + "learning_rate": 2.1565401339757907e-06, + "loss": 0.6345, + "step": 36350 + }, + { + "epoch": 2.88, + "learning_rate": 2.1418498060876717e-06, + "loss": 0.6106, + "step": 36360 + }, + { + "epoch": 2.89, + "learning_rate": 2.1271594781995537e-06, + "loss": 0.6274, + "step": 36370 + }, + { + "epoch": 2.89, + "learning_rate": 2.112469150311435e-06, + "loss": 0.6737, + "step": 36380 + }, + { + "epoch": 2.89, + "learning_rate": 2.0977788224233167e-06, + "loss": 0.6663, + "step": 36390 + }, + { + "epoch": 2.89, + "learning_rate": 2.083088494535198e-06, + "loss": 0.6485, + "step": 36400 + }, + { + "epoch": 2.89, + "learning_rate": 2.0683981666470797e-06, + "loss": 0.5949, + "step": 36410 + }, + { + "epoch": 2.89, + "learning_rate": 2.053707838758961e-06, + "loss": 0.6312, + "step": 36420 + }, + { + "epoch": 2.89, + "learning_rate": 2.0390175108708427e-06, + "loss": 0.6427, + "step": 36430 + }, + { + "epoch": 2.89, + "learning_rate": 2.024327182982724e-06, + "loss": 0.594, + "step": 36440 + }, + { + "epoch": 2.89, + "learning_rate": 2.0096368550946057e-06, + "loss": 0.6333, + "step": 36450 + }, + { + "epoch": 2.89, + "learning_rate": 1.9949465272064876e-06, + "loss": 0.6306, + "step": 36460 + }, + { + "epoch": 2.89, + "learning_rate": 1.9802561993183687e-06, + "loss": 0.6671, + "step": 36470 + }, + { + "epoch": 2.89, + "learning_rate": 1.9655658714302502e-06, + "loss": 0.6135, + "step": 36480 + }, + { + "epoch": 2.89, + "learning_rate": 1.950875543542132e-06, + "loss": 0.632, + "step": 36490 + }, + { + "epoch": 2.9, + "learning_rate": 1.9361852156540137e-06, + "loss": 0.6223, + "step": 36500 + }, + { + "epoch": 2.9, + "learning_rate": 1.9214948877658947e-06, + "loss": 0.6343, + "step": 36510 + }, + { + "epoch": 2.9, + "learning_rate": 1.9068045598777767e-06, + "loss": 0.7089, + "step": 36520 + }, + { + "epoch": 2.9, + "learning_rate": 1.8921142319896582e-06, + "loss": 0.6505, + "step": 36530 + }, + { + "epoch": 2.9, + "learning_rate": 1.8774239041015395e-06, + "loss": 0.6863, + "step": 36540 + }, + { + "epoch": 2.9, + "learning_rate": 1.8627335762134212e-06, + "loss": 0.6331, + "step": 36550 + }, + { + "epoch": 2.9, + "learning_rate": 1.8480432483253027e-06, + "loss": 0.6516, + "step": 36560 + }, + { + "epoch": 2.9, + "learning_rate": 1.8333529204371842e-06, + "loss": 0.6377, + "step": 36570 + }, + { + "epoch": 2.9, + "learning_rate": 1.818662592549066e-06, + "loss": 0.6182, + "step": 36580 + }, + { + "epoch": 2.9, + "learning_rate": 1.8039722646609472e-06, + "loss": 0.648, + "step": 36590 + }, + { + "epoch": 2.9, + "learning_rate": 1.7892819367728287e-06, + "loss": 0.5884, + "step": 36600 + }, + { + "epoch": 2.9, + "learning_rate": 1.7745916088847104e-06, + "loss": 0.6054, + "step": 36610 + }, + { + "epoch": 2.9, + "learning_rate": 1.759901280996592e-06, + "loss": 0.7095, + "step": 36620 + }, + { + "epoch": 2.91, + "learning_rate": 1.7452109531084732e-06, + "loss": 0.6666, + "step": 36630 + }, + { + "epoch": 2.91, + "learning_rate": 1.7305206252203551e-06, + "loss": 0.6171, + "step": 36640 + }, + { + "epoch": 2.91, + "learning_rate": 1.7158302973322364e-06, + "loss": 0.6662, + "step": 36650 + }, + { + "epoch": 2.91, + "learning_rate": 1.7011399694441182e-06, + "loss": 0.6646, + "step": 36660 + }, + { + "epoch": 2.91, + "learning_rate": 1.6864496415559997e-06, + "loss": 0.6447, + "step": 36670 + }, + { + "epoch": 2.91, + "learning_rate": 1.6717593136678812e-06, + "loss": 0.6541, + "step": 36680 + }, + { + "epoch": 2.91, + "learning_rate": 1.6570689857797629e-06, + "loss": 0.6096, + "step": 36690 + }, + { + "epoch": 2.91, + "learning_rate": 1.6423786578916442e-06, + "loss": 0.6875, + "step": 36700 + }, + { + "epoch": 2.91, + "learning_rate": 1.6276883300035257e-06, + "loss": 0.6588, + "step": 36710 + }, + { + "epoch": 2.91, + "learning_rate": 1.6129980021154074e-06, + "loss": 0.6692, + "step": 36720 + }, + { + "epoch": 2.91, + "learning_rate": 1.598307674227289e-06, + "loss": 0.6738, + "step": 36730 + }, + { + "epoch": 2.91, + "learning_rate": 1.5836173463391702e-06, + "loss": 0.6533, + "step": 36740 + }, + { + "epoch": 2.92, + "learning_rate": 1.5689270184510521e-06, + "loss": 0.6265, + "step": 36750 + }, + { + "epoch": 2.92, + "learning_rate": 1.5542366905629334e-06, + "loss": 0.6731, + "step": 36760 + }, + { + "epoch": 2.92, + "learning_rate": 1.5395463626748151e-06, + "loss": 0.6181, + "step": 36770 + }, + { + "epoch": 2.92, + "learning_rate": 1.5248560347866964e-06, + "loss": 0.6302, + "step": 36780 + }, + { + "epoch": 2.92, + "learning_rate": 1.5101657068985781e-06, + "loss": 0.638, + "step": 36790 + }, + { + "epoch": 2.92, + "learning_rate": 1.4954753790104597e-06, + "loss": 0.622, + "step": 36800 + }, + { + "epoch": 2.92, + "learning_rate": 1.4807850511223412e-06, + "loss": 0.6894, + "step": 36810 + }, + { + "epoch": 2.92, + "learning_rate": 1.4660947232342227e-06, + "loss": 0.6106, + "step": 36820 + }, + { + "epoch": 2.92, + "learning_rate": 1.4514043953461042e-06, + "loss": 0.6447, + "step": 36830 + }, + { + "epoch": 2.92, + "learning_rate": 1.4367140674579857e-06, + "loss": 0.5941, + "step": 36840 + }, + { + "epoch": 2.92, + "learning_rate": 1.4220237395698672e-06, + "loss": 0.6446, + "step": 36850 + }, + { + "epoch": 2.92, + "learning_rate": 1.407333411681749e-06, + "loss": 0.6791, + "step": 36860 + }, + { + "epoch": 2.92, + "learning_rate": 1.3926430837936302e-06, + "loss": 0.6278, + "step": 36870 + }, + { + "epoch": 2.93, + "learning_rate": 1.377952755905512e-06, + "loss": 0.6626, + "step": 36880 + }, + { + "epoch": 2.93, + "learning_rate": 1.3632624280173934e-06, + "loss": 0.6599, + "step": 36890 + }, + { + "epoch": 2.93, + "learning_rate": 1.348572100129275e-06, + "loss": 0.6196, + "step": 36900 + }, + { + "epoch": 2.93, + "learning_rate": 1.3338817722411564e-06, + "loss": 0.5903, + "step": 36910 + }, + { + "epoch": 2.93, + "learning_rate": 1.3191914443530381e-06, + "loss": 0.7073, + "step": 36920 + }, + { + "epoch": 2.93, + "learning_rate": 1.3045011164649196e-06, + "loss": 0.6723, + "step": 36930 + }, + { + "epoch": 2.93, + "learning_rate": 1.2898107885768011e-06, + "loss": 0.6363, + "step": 36940 + }, + { + "epoch": 2.93, + "learning_rate": 1.2751204606886827e-06, + "loss": 0.6356, + "step": 36950 + }, + { + "epoch": 2.93, + "learning_rate": 1.2604301328005642e-06, + "loss": 0.621, + "step": 36960 + }, + { + "epoch": 2.93, + "learning_rate": 1.2457398049124457e-06, + "loss": 0.6361, + "step": 36970 + }, + { + "epoch": 2.93, + "learning_rate": 1.2310494770243272e-06, + "loss": 0.6162, + "step": 36980 + }, + { + "epoch": 2.93, + "learning_rate": 1.2163591491362089e-06, + "loss": 0.6613, + "step": 36990 + }, + { + "epoch": 2.94, + "learning_rate": 1.2016688212480902e-06, + "loss": 0.5994, + "step": 37000 + }, + { + "epoch": 2.94, + "learning_rate": 1.186978493359972e-06, + "loss": 0.5589, + "step": 37010 + }, + { + "epoch": 2.94, + "learning_rate": 1.1722881654718534e-06, + "loss": 0.6388, + "step": 37020 + }, + { + "epoch": 2.94, + "learning_rate": 1.157597837583735e-06, + "loss": 0.6607, + "step": 37030 + }, + { + "epoch": 2.94, + "learning_rate": 1.1429075096956164e-06, + "loss": 0.5519, + "step": 37040 + }, + { + "epoch": 2.94, + "learning_rate": 1.1282171818074981e-06, + "loss": 0.6297, + "step": 37050 + }, + { + "epoch": 2.94, + "learning_rate": 1.1135268539193794e-06, + "loss": 0.6206, + "step": 37060 + }, + { + "epoch": 2.94, + "learning_rate": 1.0988365260312611e-06, + "loss": 0.6372, + "step": 37070 + }, + { + "epoch": 2.94, + "learning_rate": 1.0841461981431426e-06, + "loss": 0.5882, + "step": 37080 + }, + { + "epoch": 2.94, + "learning_rate": 1.0694558702550241e-06, + "loss": 0.7245, + "step": 37090 + }, + { + "epoch": 2.94, + "learning_rate": 1.0547655423669057e-06, + "loss": 0.6804, + "step": 37100 + }, + { + "epoch": 2.94, + "learning_rate": 1.0400752144787872e-06, + "loss": 0.6254, + "step": 37110 + }, + { + "epoch": 2.94, + "learning_rate": 1.0253848865906689e-06, + "loss": 0.6484, + "step": 37120 + }, + { + "epoch": 2.95, + "learning_rate": 1.0106945587025502e-06, + "loss": 0.6792, + "step": 37130 + }, + { + "epoch": 2.95, + "learning_rate": 9.960042308144319e-07, + "loss": 0.5987, + "step": 37140 + }, + { + "epoch": 2.95, + "learning_rate": 9.813139029263134e-07, + "loss": 0.607, + "step": 37150 + }, + { + "epoch": 2.95, + "learning_rate": 9.666235750381949e-07, + "loss": 0.6681, + "step": 37160 + }, + { + "epoch": 2.95, + "learning_rate": 9.519332471500764e-07, + "loss": 0.5945, + "step": 37170 + }, + { + "epoch": 2.95, + "learning_rate": 9.37242919261958e-07, + "loss": 0.6401, + "step": 37180 + }, + { + "epoch": 2.95, + "learning_rate": 9.225525913738394e-07, + "loss": 0.6585, + "step": 37190 + }, + { + "epoch": 2.95, + "learning_rate": 9.07862263485721e-07, + "loss": 0.6845, + "step": 37200 + }, + { + "epoch": 2.95, + "learning_rate": 8.931719355976026e-07, + "loss": 0.6181, + "step": 37210 + }, + { + "epoch": 2.95, + "learning_rate": 8.78481607709484e-07, + "loss": 0.6262, + "step": 37220 + }, + { + "epoch": 2.95, + "learning_rate": 8.637912798213656e-07, + "loss": 0.6708, + "step": 37230 + }, + { + "epoch": 2.95, + "learning_rate": 8.491009519332473e-07, + "loss": 0.6327, + "step": 37240 + }, + { + "epoch": 2.95, + "learning_rate": 8.344106240451287e-07, + "loss": 0.6463, + "step": 37250 + }, + { + "epoch": 2.96, + "learning_rate": 8.197202961570103e-07, + "loss": 0.6703, + "step": 37260 + }, + { + "epoch": 2.96, + "learning_rate": 8.050299682688919e-07, + "loss": 0.6312, + "step": 37270 + }, + { + "epoch": 2.96, + "learning_rate": 7.903396403807734e-07, + "loss": 0.617, + "step": 37280 + }, + { + "epoch": 2.96, + "learning_rate": 7.756493124926549e-07, + "loss": 0.6226, + "step": 37290 + }, + { + "epoch": 2.96, + "learning_rate": 7.609589846045364e-07, + "loss": 0.6339, + "step": 37300 + }, + { + "epoch": 2.96, + "learning_rate": 7.462686567164179e-07, + "loss": 0.606, + "step": 37310 + }, + { + "epoch": 2.96, + "learning_rate": 7.315783288282995e-07, + "loss": 0.6789, + "step": 37320 + }, + { + "epoch": 2.96, + "learning_rate": 7.16888000940181e-07, + "loss": 0.6131, + "step": 37330 + }, + { + "epoch": 2.96, + "learning_rate": 7.021976730520625e-07, + "loss": 0.6702, + "step": 37340 + }, + { + "epoch": 2.96, + "learning_rate": 6.875073451639441e-07, + "loss": 0.5906, + "step": 37350 + }, + { + "epoch": 2.96, + "learning_rate": 6.728170172758256e-07, + "loss": 0.6364, + "step": 37360 + }, + { + "epoch": 2.96, + "learning_rate": 6.581266893877071e-07, + "loss": 0.6156, + "step": 37370 + }, + { + "epoch": 2.97, + "learning_rate": 6.434363614995887e-07, + "loss": 0.586, + "step": 37380 + }, + { + "epoch": 2.97, + "learning_rate": 6.287460336114703e-07, + "loss": 0.6294, + "step": 37390 + }, + { + "epoch": 2.97, + "learning_rate": 6.140557057233519e-07, + "loss": 0.6601, + "step": 37400 + }, + { + "epoch": 2.97, + "learning_rate": 5.993653778352334e-07, + "loss": 0.6303, + "step": 37410 + }, + { + "epoch": 2.97, + "learning_rate": 5.846750499471149e-07, + "loss": 0.6055, + "step": 37420 + }, + { + "epoch": 2.97, + "learning_rate": 5.699847220589964e-07, + "loss": 0.6239, + "step": 37430 + }, + { + "epoch": 2.97, + "learning_rate": 5.552943941708779e-07, + "loss": 0.6571, + "step": 37440 + }, + { + "epoch": 2.97, + "learning_rate": 5.406040662827594e-07, + "loss": 0.6228, + "step": 37450 + }, + { + "epoch": 2.97, + "learning_rate": 5.25913738394641e-07, + "loss": 0.6136, + "step": 37460 + }, + { + "epoch": 2.97, + "learning_rate": 5.112234105065225e-07, + "loss": 0.6361, + "step": 37470 + }, + { + "epoch": 2.97, + "learning_rate": 4.96533082618404e-07, + "loss": 0.6663, + "step": 37480 + }, + { + "epoch": 2.97, + "learning_rate": 4.818427547302856e-07, + "loss": 0.6748, + "step": 37490 + }, + { + "epoch": 2.97, + "learning_rate": 4.671524268421671e-07, + "loss": 0.5639, + "step": 37500 + }, + { + "epoch": 2.98, + "learning_rate": 4.5246209895404873e-07, + "loss": 0.623, + "step": 37510 + }, + { + "epoch": 2.98, + "learning_rate": 4.3777177106593024e-07, + "loss": 0.6324, + "step": 37520 + }, + { + "epoch": 2.98, + "learning_rate": 4.2308144317781174e-07, + "loss": 0.6734, + "step": 37530 + }, + { + "epoch": 2.98, + "learning_rate": 4.083911152896933e-07, + "loss": 0.6736, + "step": 37540 + }, + { + "epoch": 2.98, + "learning_rate": 3.937007874015748e-07, + "loss": 0.6828, + "step": 37550 + }, + { + "epoch": 2.98, + "learning_rate": 3.7901045951345637e-07, + "loss": 0.5967, + "step": 37560 + }, + { + "epoch": 2.98, + "learning_rate": 3.643201316253379e-07, + "loss": 0.6455, + "step": 37570 + }, + { + "epoch": 2.98, + "learning_rate": 3.4962980373721943e-07, + "loss": 0.6171, + "step": 37580 + }, + { + "epoch": 2.98, + "learning_rate": 3.34939475849101e-07, + "loss": 0.6688, + "step": 37590 + }, + { + "epoch": 2.98, + "learning_rate": 3.202491479609825e-07, + "loss": 0.591, + "step": 37600 + }, + { + "epoch": 2.98, + "learning_rate": 3.0555882007286405e-07, + "loss": 0.6656, + "step": 37610 + }, + { + "epoch": 2.98, + "learning_rate": 2.9086849218474555e-07, + "loss": 0.6576, + "step": 37620 + }, + { + "epoch": 2.99, + "learning_rate": 2.761781642966271e-07, + "loss": 0.6347, + "step": 37630 + }, + { + "epoch": 2.99, + "learning_rate": 2.6148783640850867e-07, + "loss": 0.6317, + "step": 37640 + }, + { + "epoch": 2.99, + "learning_rate": 2.4679750852039023e-07, + "loss": 0.5829, + "step": 37650 + }, + { + "epoch": 2.99, + "learning_rate": 2.321071806322717e-07, + "loss": 0.6135, + "step": 37660 + }, + { + "epoch": 2.99, + "learning_rate": 2.1741685274415326e-07, + "loss": 0.7097, + "step": 37670 + }, + { + "epoch": 2.99, + "learning_rate": 2.027265248560348e-07, + "loss": 0.6206, + "step": 37680 + }, + { + "epoch": 2.99, + "learning_rate": 1.8803619696791633e-07, + "loss": 0.6686, + "step": 37690 + }, + { + "epoch": 2.99, + "learning_rate": 1.7334586907979786e-07, + "loss": 0.624, + "step": 37700 + }, + { + "epoch": 2.99, + "learning_rate": 1.5865554119167942e-07, + "loss": 0.6411, + "step": 37710 + }, + { + "epoch": 2.99, + "learning_rate": 1.4396521330356092e-07, + "loss": 0.6251, + "step": 37720 + }, + { + "epoch": 2.99, + "learning_rate": 1.2927488541544248e-07, + "loss": 0.6162, + "step": 37730 + }, + { + "epoch": 2.99, + "learning_rate": 1.1458455752732401e-07, + "loss": 0.648, + "step": 37740 + }, + { + "epoch": 2.99, + "learning_rate": 9.989422963920556e-08, + "loss": 0.6385, + "step": 37750 + }, + { + "epoch": 3.0, + "learning_rate": 8.520390175108709e-08, + "loss": 0.6032, + "step": 37760 + }, + { + "epoch": 3.0, + "learning_rate": 7.051357386296863e-08, + "loss": 0.6015, + "step": 37770 + }, + { + "epoch": 3.0, + "learning_rate": 5.5823245974850164e-08, + "loss": 0.6486, + "step": 37780 + }, + { + "epoch": 3.0, + "learning_rate": 4.1132918086731696e-08, + "loss": 0.6525, + "step": 37790 + }, + { + "epoch": 3.0, + "learning_rate": 2.6442590198613234e-08, + "loss": 0.6148, + "step": 37800 + }, + { + "epoch": 3.0, + "learning_rate": 1.175226231049477e-08, + "loss": 0.6174, + "step": 37810 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.8097558194444616, + "eval_loss": 0.7372148036956787, + "eval_runtime": 1971.7641, + "eval_samples_per_second": 409.187, + "eval_steps_per_second": 6.394, + "step": 37818 + }, + { + "epoch": 3.0, + "step": 37818, + "total_flos": 7.523739101107678e+20, + "train_loss": 0.47222403545925346, + "train_runtime": 46332.5983, + "train_samples_per_second": 208.964, + "train_steps_per_second": 0.816 + } + ], + "max_steps": 37818, + "num_train_epochs": 3, + "total_flos": 7.523739101107678e+20, + "trial_name": null, + "trial_params": null +}