| Epoch... (1/1 | Step: 10 | Loss: 3.152461051940918 | Learning Rate: 2.988296364492271e-05 | Time per step: 15.587736415863038) | |
| Epoch... (1/1 | Step: 20 | Loss: 2.984159469604492 | Learning Rate: 2.9752924092463218e-05 | Time per step: 7.810857331752777) | |
| Epoch... (1/1 | Step: 30 | Loss: 2.966938018798828 | Learning Rate: 2.9622886358993128e-05 | Time per step: 5.218205340703329) | |
| Epoch... (1/1 | Step: 40 | Loss: 2.7915446758270264 | Learning Rate: 2.9492846806533635e-05 | Time per step: 3.923228472471237) | |
| Epoch... (1/1 | Step: 50 | Loss: 2.8086533546447754 | Learning Rate: 2.9362809073063545e-05 | Time per step: 3.1455979251861574) | |
| Epoch... (1/1 | Step: 60 | Loss: 2.7164440155029297 | Learning Rate: 2.923276952060405e-05 | Time per step: 2.6309441407521565) | |
| Epoch... (1/1 | Step: 70 | Loss: 2.620852470397949 | Learning Rate: 2.910272996814456e-05 | Time per step: 2.2604179041726247) | |
| Epoch... (1/1 | Step: 80 | Loss: 2.6376171112060547 | Learning Rate: 2.897269223467447e-05 | Time per step: 1.9821367621421815) | |
| Epoch... (1/1 | Step: 90 | Loss: 2.5884041786193848 | Learning Rate: 2.8842652682214975e-05 | Time per step: 1.7655608786476984) | |
| Epoch... (1/1 | Step: 100 | Loss: 2.605238914489746 | Learning Rate: 2.8712613129755482e-05 | Time per step: 1.592444236278534) | |
| Epoch... (1/1 | Step: 110 | Loss: 2.5857369899749756 | Learning Rate: 2.858257357729599e-05 | Time per step: 1.4507770885120739) | |
| Epoch... (1/1 | Step: 120 | Loss: 2.462893009185791 | Learning Rate: 2.8452534024836496e-05 | Time per step: 1.3327178955078125) | |
| Epoch... (1/1 | Step: 130 | Loss: 2.5480122566223145 | Learning Rate: 2.8322496291366406e-05 | Time per step: 1.2347213745117187) | |
| Epoch... (1/1 | Step: 140 | Loss: 2.5385568141937256 | Learning Rate: 2.8192456738906913e-05 | Time per step: 1.1489436558314732) | |
| Epoch... (1/1 | Step: 150 | Loss: 2.5392045974731445 | Learning Rate: 2.806241718644742e-05 | Time per step: 1.0746502176920574) | |
| Epoch... (1/1 | Step: 160 | Loss: 2.5710103511810303 | Learning Rate: 2.793237945297733e-05 | Time per step: 1.0096801206469537) | |
| Epoch... (1/1 | Step: 170 | Loss: 2.4399685859680176 | Learning Rate: 2.7802339900517836e-05 | Time per step: 0.9523633339825799) | |
| Epoch... (1/1 | Step: 180 | Loss: 2.457218885421753 | Learning Rate: 2.7672302167047746e-05 | Time per step: 0.9013986693488227) | |
| Epoch... (1/1 | Step: 190 | Loss: 2.5539286136627197 | Learning Rate: 2.7542262614588253e-05 | Time per step: 0.8558672904968262) | |
| Epoch... (1/1 | Step: 200 | Loss: 2.4565377235412598 | Learning Rate: 2.741222306212876e-05 | Time per step: 0.8160686993598938) | |
| Epoch... (1/1 | Step: 210 | Loss: 2.4070143699645996 | Learning Rate: 2.728218532865867e-05 | Time per step: 0.7789805684770856) | |
| Epoch... (1/1 | Step: 220 | Loss: 2.3925132751464844 | Learning Rate: 2.7152143957209773e-05 | Time per step: 0.7452002211050553) | |
| Epoch... (1/1 | Step: 230 | Loss: 2.375119209289551 | Learning Rate: 2.7022106223739684e-05 | Time per step: 0.714317157994146) | |
| Epoch... (1/1 | Step: 240 | Loss: 2.4307475090026855 | Learning Rate: 2.689206667128019e-05 | Time per step: 0.6860215455293656) | |
| Epoch... (1/1 | Step: 250 | Loss: 2.3495891094207764 | Learning Rate: 2.6762027118820697e-05 | Time per step: 0.6600858697891235) | |
| Epoch... (1/1 | Step: 260 | Loss: 2.323152780532837 | Learning Rate: 2.6631989385350607e-05 | Time per step: 0.6362197930996235) | |
| Epoch... (1/1 | Step: 270 | Loss: 2.3550381660461426 | Learning Rate: 2.6501949832891114e-05 | Time per step: 0.6149519796724673) | |
| Epoch... (1/1 | Step: 280 | Loss: 2.418388843536377 | Learning Rate: 2.637191028043162e-05 | Time per step: 0.5942821894373213) | |
| Epoch... (1/1 | Step: 290 | Loss: 2.304417133331299 | Learning Rate: 2.624187254696153e-05 | Time per step: 0.5750318412123056) | |
| Epoch... (1/1 | Step: 300 | Loss: 2.292708396911621 | Learning Rate: 2.6111832994502038e-05 | Time per step: 0.5570862245559692) | |
| Epoch... (1/1 | Step: 310 | Loss: 2.2911200523376465 | Learning Rate: 2.5981795261031948e-05 | Time per step: 0.5402729565097439) | |
| Epoch... (1/1 | Step: 320 | Loss: 2.3142271041870117 | Learning Rate: 2.5851755708572455e-05 | Time per step: 0.5245530068874359) | |
| Epoch... (1/1 | Step: 330 | Loss: 2.2752268314361572 | Learning Rate: 2.5721714337123558e-05 | Time per step: 0.5098378614945845) | |
| Epoch... (1/1 | Step: 340 | Loss: 2.3485875129699707 | Learning Rate: 2.5591678422642872e-05 | Time per step: 0.4959293926463408) | |
| Epoch... (1/1 | Step: 350 | Loss: 2.2506933212280273 | Learning Rate: 2.5461637051193975e-05 | Time per step: 0.4828984478541783) | |
| Epoch... (1/1 | Step: 360 | Loss: 2.309922695159912 | Learning Rate: 2.5331599317723885e-05 | Time per step: 0.4705710119671292) | |
| Epoch... (1/1 | Step: 370 | Loss: 2.345146656036377 | Learning Rate: 2.5201559765264392e-05 | Time per step: 0.45886457804087044) | |
| Epoch... (1/1 | Step: 380 | Loss: 2.2607898712158203 | Learning Rate: 2.50715202128049e-05 | Time per step: 0.4477769217993084) | |
| Epoch... (1/1 | Step: 390 | Loss: 2.2573559284210205 | Learning Rate: 2.494148247933481e-05 | Time per step: 0.437354511481065) | |
| Epoch... (1/1 | Step: 400 | Loss: 2.306978464126587 | Learning Rate: 2.4811442926875316e-05 | Time per step: 0.42739131927490237) | |
| Epoch... (1/1 | Step: 410 | Loss: 2.194396495819092 | Learning Rate: 2.4681403374415822e-05 | Time per step: 0.41849243408296166) | |
| Epoch... (1/1 | Step: 420 | Loss: 2.246137857437134 | Learning Rate: 2.4551365640945733e-05 | Time per step: 0.40944125141416277) | |
| Epoch... (1/1 | Step: 430 | Loss: 2.2333340644836426 | Learning Rate: 2.442132608848624e-05 | Time per step: 0.400786896639092) | |
| Epoch... (1/1 | Step: 440 | Loss: 2.240902900695801 | Learning Rate: 2.4291286536026746e-05 | Time per step: 0.39255606640468943) | |
| Epoch... (1/1 | Step: 450 | Loss: 2.208949565887451 | Learning Rate: 2.4161248802556656e-05 | Time per step: 0.3847881078720093) | |
| Epoch... (1/1 | Step: 460 | Loss: 2.1334152221679688 | Learning Rate: 2.403120743110776e-05 | Time per step: 0.37723992026370506) | |
| Epoch... (1/1 | Step: 470 | Loss: 2.126279354095459 | Learning Rate: 2.390116969763767e-05 | Time per step: 0.3700234945784224) | |
| Epoch... (1/1 | Step: 480 | Loss: 2.2395260334014893 | Learning Rate: 2.3771130145178176e-05 | Time per step: 0.3634992683927218) | |
| Epoch... (1/1 | Step: 490 | Loss: 2.204587936401367 | Learning Rate: 2.3641092411708087e-05 | Time per step: 0.3568650634921327) | |
| Epoch... (1/1 | Step: 500 | Loss: 2.204573154449463 | Learning Rate: 2.3511052859248593e-05 | Time per step: 0.35050120973587034) | |
| Epoch... (1/1 | Step: 500 | Eval Loss: 2.153402805328369 | Eval rouge1: 38.644711 | Eval rouge2: 13.35726 | Eval rougeL: 34.996203 | Eval rougeLsum: 35.002078 | Eval gen_len: 12.159915 |) | |