{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.0, "eval_steps": 100, "global_step": 1250, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.016, "grad_norm": 6.320438861846924, "learning_rate": 2.99952628392495e-06, "loss": 1.3054, "step": 10 }, { "epoch": 0.032, "grad_norm": 5.475564956665039, "learning_rate": 2.9981054349090266e-06, "loss": 0.6821, "step": 20 }, { "epoch": 0.048, "grad_norm": 5.251683235168457, "learning_rate": 2.995738350390921e-06, "loss": 0.6935, "step": 30 }, { "epoch": 0.064, "grad_norm": 5.057413578033447, "learning_rate": 2.9924265254719506e-06, "loss": 0.6776, "step": 40 }, { "epoch": 0.08, "grad_norm": 4.680449962615967, "learning_rate": 2.988172051971717e-06, "loss": 0.6582, "step": 50 }, { "epoch": 0.096, "grad_norm": 5.521228313446045, "learning_rate": 2.982977617106871e-06, "loss": 0.6972, "step": 60 }, { "epoch": 0.112, "grad_norm": 4.839247226715088, "learning_rate": 2.9768465017938084e-06, "loss": 0.6749, "step": 70 }, { "epoch": 0.128, "grad_norm": 5.12637996673584, "learning_rate": 2.9697825785763704e-06, "loss": 0.6863, "step": 80 }, { "epoch": 0.144, "grad_norm": 4.7851152420043945, "learning_rate": 2.961790309179866e-06, "loss": 0.6785, "step": 90 }, { "epoch": 0.16, "grad_norm": 4.761219501495361, "learning_rate": 2.9528747416929465e-06, "loss": 0.6727, "step": 100 }, { "epoch": 0.16, "eval_loss": 0.6868906021118164, "eval_runtime": 8.6852, "eval_samples_per_second": 230.276, "eval_steps_per_second": 14.392, "step": 100 }, { "epoch": 0.176, "grad_norm": 4.815207004547119, "learning_rate": 2.943041507379129e-06, "loss": 0.6787, "step": 110 }, { "epoch": 0.192, "grad_norm": 4.663937568664551, "learning_rate": 2.9322968171199645e-06, "loss": 0.6772, "step": 120 }, { "epoch": 0.208, "grad_norm": 5.208789348602295, "learning_rate": 2.9206474574921165e-06, "loss": 0.656, "step": 130 }, { "epoch": 0.224, "grad_norm": 4.607890605926514, "learning_rate": 2.9081007864808113e-06, "loss": 0.6792, "step": 140 }, { "epoch": 0.24, "grad_norm": 5.205310821533203, "learning_rate": 2.894664728832377e-06, "loss": 0.6989, "step": 150 }, { "epoch": 0.256, "grad_norm": 4.700341701507568, "learning_rate": 2.8803477710488056e-06, "loss": 0.6673, "step": 160 }, { "epoch": 0.272, "grad_norm": 4.271303653717041, "learning_rate": 2.8651589560274937e-06, "loss": 0.6743, "step": 170 }, { "epoch": 0.288, "grad_norm": 4.5935468673706055, "learning_rate": 2.8491078773495566e-06, "loss": 0.6634, "step": 180 }, { "epoch": 0.304, "grad_norm": 4.505198955535889, "learning_rate": 2.832204673220317e-06, "loss": 0.6487, "step": 190 }, { "epoch": 0.32, "grad_norm": 4.946630477905273, "learning_rate": 2.814460020065795e-06, "loss": 0.6056, "step": 200 }, { "epoch": 0.32, "eval_loss": 0.6831114292144775, "eval_runtime": 9.3989, "eval_samples_per_second": 212.791, "eval_steps_per_second": 13.299, "step": 200 }, { "epoch": 0.336, "grad_norm": 4.913090229034424, "learning_rate": 2.795885125789253e-06, "loss": 0.652, "step": 210 }, { "epoch": 0.352, "grad_norm": 4.906637191772461, "learning_rate": 2.776491722692038e-06, "loss": 0.6599, "step": 220 }, { "epoch": 0.368, "grad_norm": 4.214770317077637, "learning_rate": 2.756292060063213e-06, "loss": 0.6539, "step": 230 }, { "epoch": 0.384, "grad_norm": 4.808592796325684, "learning_rate": 2.735298896442641e-06, "loss": 0.6666, "step": 240 }, { "epoch": 0.4, "grad_norm": 4.6029839515686035, "learning_rate": 2.713525491562421e-06, "loss": 0.6924, "step": 250 }, { "epoch": 0.416, "grad_norm": 4.828456878662109, "learning_rate": 2.690985597971753e-06, "loss": 0.6937, "step": 260 }, { "epoch": 0.432, "grad_norm": 4.152997970581055, "learning_rate": 2.6676934523505355e-06, "loss": 0.6664, "step": 270 }, { "epoch": 0.448, "grad_norm": 4.614770412445068, "learning_rate": 2.643663766517172e-06, "loss": 0.6722, "step": 280 }, { "epoch": 0.464, "grad_norm": 4.493509292602539, "learning_rate": 2.6189117181362736e-06, "loss": 0.6689, "step": 290 }, { "epoch": 0.48, "grad_norm": 4.5999274253845215, "learning_rate": 2.5934529411321173e-06, "loss": 0.7033, "step": 300 }, { "epoch": 0.48, "eval_loss": 0.6796725988388062, "eval_runtime": 9.6974, "eval_samples_per_second": 206.241, "eval_steps_per_second": 12.89, "step": 300 }, { "epoch": 0.496, "grad_norm": 4.2827935218811035, "learning_rate": 2.5673035158139285e-06, "loss": 0.6596, "step": 310 }, { "epoch": 0.512, "grad_norm": 4.7542805671691895, "learning_rate": 2.5404799587192076e-06, "loss": 0.6549, "step": 320 }, { "epoch": 0.528, "grad_norm": 4.7150492668151855, "learning_rate": 2.5129992121815365e-06, "loss": 0.6757, "step": 330 }, { "epoch": 0.544, "grad_norm": 4.777836322784424, "learning_rate": 2.484878633629435e-06, "loss": 0.6806, "step": 340 }, { "epoch": 0.56, "grad_norm": 4.323108196258545, "learning_rate": 2.456135984623035e-06, "loss": 0.6629, "step": 350 }, { "epoch": 0.576, "grad_norm": 4.968432426452637, "learning_rate": 2.4267894196355018e-06, "loss": 0.6858, "step": 360 }, { "epoch": 0.592, "grad_norm": 4.666640758514404, "learning_rate": 2.3968574745862785e-06, "loss": 0.665, "step": 370 }, { "epoch": 0.608, "grad_norm": 4.655545234680176, "learning_rate": 2.3663590551334015e-06, "loss": 0.6661, "step": 380 }, { "epoch": 0.624, "grad_norm": 4.554004669189453, "learning_rate": 2.3353134247322823e-06, "loss": 0.6559, "step": 390 }, { "epoch": 0.64, "grad_norm": 4.362437725067139, "learning_rate": 2.303740192468495e-06, "loss": 0.6786, "step": 400 }, { "epoch": 0.64, "eval_loss": 0.6770616173744202, "eval_runtime": 7.3123, "eval_samples_per_second": 273.512, "eval_steps_per_second": 17.095, "step": 400 }, { "epoch": 0.656, "grad_norm": 4.237730503082275, "learning_rate": 2.2716593006722595e-06, "loss": 0.6456, "step": 410 }, { "epoch": 0.672, "grad_norm": 4.062387943267822, "learning_rate": 2.2390910123224374e-06, "loss": 0.6767, "step": 420 }, { "epoch": 0.688, "grad_norm": 4.175485134124756, "learning_rate": 2.2060558982479992e-06, "loss": 0.6389, "step": 430 }, { "epoch": 0.704, "grad_norm": 4.427236080169678, "learning_rate": 2.1725748241350487e-06, "loss": 0.6403, "step": 440 }, { "epoch": 0.72, "grad_norm": 4.3691511154174805, "learning_rate": 2.138668937347609e-06, "loss": 0.6559, "step": 450 }, { "epoch": 0.736, "grad_norm": 4.3593430519104, "learning_rate": 2.1043596535704943e-06, "loss": 0.6787, "step": 460 }, { "epoch": 0.752, "grad_norm": 4.350930213928223, "learning_rate": 2.069668643282702e-06, "loss": 0.6975, "step": 470 }, { "epoch": 0.768, "grad_norm": 4.215636730194092, "learning_rate": 2.034617818069876e-06, "loss": 0.684, "step": 480 }, { "epoch": 0.784, "grad_norm": 3.999462127685547, "learning_rate": 1.99922931678448e-06, "loss": 0.6607, "step": 490 }, { "epoch": 0.8, "grad_norm": 4.186202526092529, "learning_rate": 1.963525491562421e-06, "loss": 0.6476, "step": 500 }, { "epoch": 0.8, "eval_loss": 0.6736403107643127, "eval_runtime": 7.3017, "eval_samples_per_second": 273.908, "eval_steps_per_second": 17.119, "step": 500 }, { "epoch": 0.816, "grad_norm": 4.060866355895996, "learning_rate": 1.927528893704964e-06, "loss": 0.6591, "step": 510 }, { "epoch": 0.832, "grad_norm": 4.125776767730713, "learning_rate": 1.8912622594348455e-06, "loss": 0.6922, "step": 520 }, { "epoch": 0.848, "grad_norm": 3.8623437881469727, "learning_rate": 1.8547484955355872e-06, "loss": 0.6513, "step": 530 }, { "epoch": 0.864, "grad_norm": 4.550040245056152, "learning_rate": 1.8180106648830824e-06, "loss": 0.663, "step": 540 }, { "epoch": 0.88, "grad_norm": 4.267393589019775, "learning_rate": 1.7810719718785873e-06, "loss": 0.6685, "step": 550 }, { "epoch": 0.896, "grad_norm": 4.428436756134033, "learning_rate": 1.7439557477923257e-06, "loss": 0.7051, "step": 560 }, { "epoch": 0.912, "grad_norm": 4.695955276489258, "learning_rate": 1.706685436026957e-06, "loss": 0.6251, "step": 570 }, { "epoch": 0.928, "grad_norm": 4.578221797943115, "learning_rate": 1.6692845773102223e-06, "loss": 0.6569, "step": 580 }, { "epoch": 0.944, "grad_norm": 4.15753173828125, "learning_rate": 1.6317767948261151e-06, "loss": 0.6451, "step": 590 }, { "epoch": 0.96, "grad_norm": 3.946852922439575, "learning_rate": 1.5941857792939703e-06, "loss": 0.6562, "step": 600 }, { "epoch": 0.96, "eval_loss": 0.6707749962806702, "eval_runtime": 7.4417, "eval_samples_per_second": 268.756, "eval_steps_per_second": 16.797, "step": 600 }, { "epoch": 0.976, "grad_norm": 4.214157581329346, "learning_rate": 1.556535274004902e-06, "loss": 0.6556, "step": 610 }, { "epoch": 0.992, "grad_norm": 4.3779616355896, "learning_rate": 1.518849059825029e-06, "loss": 0.6764, "step": 620 }, { "epoch": 1.008, "grad_norm": 3.7831478118896484, "learning_rate": 1.481150940174971e-06, "loss": 0.5361, "step": 630 }, { "epoch": 1.024, "grad_norm": 4.746358394622803, "learning_rate": 1.4434647259950982e-06, "loss": 0.4773, "step": 640 }, { "epoch": 1.04, "grad_norm": 4.30097770690918, "learning_rate": 1.40581422070603e-06, "loss": 0.4829, "step": 650 }, { "epoch": 1.056, "grad_norm": 4.781858444213867, "learning_rate": 1.3682232051738854e-06, "loss": 0.4635, "step": 660 }, { "epoch": 1.072, "grad_norm": 4.712700366973877, "learning_rate": 1.3307154226897775e-06, "loss": 0.4775, "step": 670 }, { "epoch": 1.088, "grad_norm": 4.640942573547363, "learning_rate": 1.293314563973043e-06, "loss": 0.4421, "step": 680 }, { "epoch": 1.104, "grad_norm": 5.104272365570068, "learning_rate": 1.2560442522076746e-06, "loss": 0.446, "step": 690 }, { "epoch": 1.12, "grad_norm": 5.069291591644287, "learning_rate": 1.2189280281214128e-06, "loss": 0.461, "step": 700 }, { "epoch": 1.12, "eval_loss": 0.7041329145431519, "eval_runtime": 7.9231, "eval_samples_per_second": 252.428, "eval_steps_per_second": 15.777, "step": 700 }, { "epoch": 1.1360000000000001, "grad_norm": 5.07060432434082, "learning_rate": 1.1819893351169183e-06, "loss": 0.4614, "step": 710 }, { "epoch": 1.152, "grad_norm": 6.156511306762695, "learning_rate": 1.1452515044644133e-06, "loss": 0.4785, "step": 720 }, { "epoch": 1.168, "grad_norm": 5.145558834075928, "learning_rate": 1.108737740565155e-06, "loss": 0.4463, "step": 730 }, { "epoch": 1.184, "grad_norm": 4.276706218719482, "learning_rate": 1.0724711062950359e-06, "loss": 0.4595, "step": 740 }, { "epoch": 1.2, "grad_norm": 5.321038722991943, "learning_rate": 1.036474508437579e-06, "loss": 0.4687, "step": 750 }, { "epoch": 1.216, "grad_norm": 4.610326766967773, "learning_rate": 1.0007706832155202e-06, "loss": 0.4293, "step": 760 }, { "epoch": 1.232, "grad_norm": 5.0618462562561035, "learning_rate": 9.65382181930124e-07, "loss": 0.4636, "step": 770 }, { "epoch": 1.248, "grad_norm": 4.6133036613464355, "learning_rate": 9.303313567172986e-07, "loss": 0.4578, "step": 780 }, { "epoch": 1.264, "grad_norm": 4.833690166473389, "learning_rate": 8.956403464295061e-07, "loss": 0.4511, "step": 790 }, { "epoch": 1.28, "grad_norm": 4.997283935546875, "learning_rate": 8.613310626523911e-07, "loss": 0.4578, "step": 800 }, { "epoch": 1.28, "eval_loss": 0.7093445062637329, "eval_runtime": 9.5227, "eval_samples_per_second": 210.025, "eval_steps_per_second": 13.127, "step": 800 }, { "epoch": 1.296, "grad_norm": 5.087992191314697, "learning_rate": 8.274251758649519e-07, "loss": 0.4858, "step": 810 }, { "epoch": 1.312, "grad_norm": 5.305168628692627, "learning_rate": 7.939441017520012e-07, "loss": 0.4756, "step": 820 }, { "epoch": 1.328, "grad_norm": 4.691494464874268, "learning_rate": 7.609089876775628e-07, "loss": 0.4593, "step": 830 }, { "epoch": 1.3439999999999999, "grad_norm": 6.369288921356201, "learning_rate": 7.283406993277403e-07, "loss": 0.4461, "step": 840 }, { "epoch": 1.3599999999999999, "grad_norm": 4.588751792907715, "learning_rate": 6.962598075315047e-07, "loss": 0.4569, "step": 850 }, { "epoch": 1.376, "grad_norm": 4.815459728240967, "learning_rate": 6.646865752677186e-07, "loss": 0.4209, "step": 860 }, { "epoch": 1.392, "grad_norm": 4.491628170013428, "learning_rate": 6.336409448665989e-07, "loss": 0.4768, "step": 870 }, { "epoch": 1.408, "grad_norm": 5.085056304931641, "learning_rate": 6.031425254137223e-07, "loss": 0.4539, "step": 880 }, { "epoch": 1.424, "grad_norm": 4.508426189422607, "learning_rate": 5.732105803644987e-07, "loss": 0.4588, "step": 890 }, { "epoch": 1.44, "grad_norm": 4.900942325592041, "learning_rate": 5.438640153769653e-07, "loss": 0.4817, "step": 900 }, { "epoch": 1.44, "eval_loss": 0.7055138945579529, "eval_runtime": 9.5816, "eval_samples_per_second": 208.733, "eval_steps_per_second": 13.046, "step": 900 }, { "epoch": 1.456, "grad_norm": 5.169991970062256, "learning_rate": 5.151213663705655e-07, "loss": 0.4608, "step": 910 }, { "epoch": 1.472, "grad_norm": 5.345458030700684, "learning_rate": 4.870007878184633e-07, "loss": 0.4687, "step": 920 }, { "epoch": 1.488, "grad_norm": 5.129513263702393, "learning_rate": 4.5952004128079276e-07, "loss": 0.4677, "step": 930 }, { "epoch": 1.504, "grad_norm": 4.392848491668701, "learning_rate": 4.3269648418607197e-07, "loss": 0.4612, "step": 940 }, { "epoch": 1.52, "grad_norm": 4.760442733764648, "learning_rate": 4.06547058867883e-07, "loss": 0.4864, "step": 950 }, { "epoch": 1.536, "grad_norm": 5.239096164703369, "learning_rate": 3.8108828186372685e-07, "loss": 0.4576, "step": 960 }, { "epoch": 1.552, "grad_norm": 4.897254467010498, "learning_rate": 3.56336233482828e-07, "loss": 0.4518, "step": 970 }, { "epoch": 1.568, "grad_norm": 5.0241804122924805, "learning_rate": 3.32306547649465e-07, "loss": 0.454, "step": 980 }, { "epoch": 1.584, "grad_norm": 5.055388450622559, "learning_rate": 3.0901440202824693e-07, "loss": 0.4808, "step": 990 }, { "epoch": 1.6, "grad_norm": 4.961503982543945, "learning_rate": 2.86474508437579e-07, "loss": 0.4324, "step": 1000 }, { "epoch": 1.6, "eval_loss": 0.7080456614494324, "eval_runtime": 7.9696, "eval_samples_per_second": 250.955, "eval_steps_per_second": 15.685, "step": 1000 }, { "epoch": 1.616, "grad_norm": 4.625386714935303, "learning_rate": 2.647011035573588e-07, "loss": 0.4707, "step": 1010 }, { "epoch": 1.6320000000000001, "grad_norm": 5.237055778503418, "learning_rate": 2.437079399367875e-07, "loss": 0.4575, "step": 1020 }, { "epoch": 1.6480000000000001, "grad_norm": 5.412177562713623, "learning_rate": 2.235082773079624e-07, "loss": 0.4786, "step": 1030 }, { "epoch": 1.6640000000000001, "grad_norm": 5.122972011566162, "learning_rate": 2.0411487421074708e-07, "loss": 0.4961, "step": 1040 }, { "epoch": 1.6800000000000002, "grad_norm": 4.920769214630127, "learning_rate": 1.8553997993420495e-07, "loss": 0.4494, "step": 1050 }, { "epoch": 1.696, "grad_norm": 4.990310192108154, "learning_rate": 1.6779532677968329e-07, "loss": 0.4713, "step": 1060 }, { "epoch": 1.712, "grad_norm": 4.39508581161499, "learning_rate": 1.508921226504434e-07, "loss": 0.4633, "step": 1070 }, { "epoch": 1.728, "grad_norm": 5.249621391296387, "learning_rate": 1.348410439725065e-07, "loss": 0.4764, "step": 1080 }, { "epoch": 1.744, "grad_norm": 5.508373260498047, "learning_rate": 1.1965222895119444e-07, "loss": 0.4793, "step": 1090 }, { "epoch": 1.76, "grad_norm": 5.088216781616211, "learning_rate": 1.0533527116762298e-07, "loss": 0.4693, "step": 1100 }, { "epoch": 1.76, "eval_loss": 0.7081010937690735, "eval_runtime": 7.6853, "eval_samples_per_second": 260.237, "eval_steps_per_second": 16.265, "step": 1100 }, { "epoch": 1.776, "grad_norm": 5.710309028625488, "learning_rate": 9.18992135191889e-08, "loss": 0.4405, "step": 1110 }, { "epoch": 1.792, "grad_norm": 4.6689982414245605, "learning_rate": 7.935254250788366e-08, "loss": 0.4484, "step": 1120 }, { "epoch": 1.808, "grad_norm": 4.682315349578857, "learning_rate": 6.770318288003558e-08, "loss": 0.4458, "step": 1130 }, { "epoch": 1.8239999999999998, "grad_norm": 5.43618106842041, "learning_rate": 5.6958492620871105e-08, "loss": 0.4914, "step": 1140 }, { "epoch": 1.8399999999999999, "grad_norm": 4.98464822769165, "learning_rate": 4.712525830705339e-08, "loss": 0.4567, "step": 1150 }, { "epoch": 1.8559999999999999, "grad_norm": 4.657787799835205, "learning_rate": 3.820969082013415e-08, "loss": 0.452, "step": 1160 }, { "epoch": 1.8719999999999999, "grad_norm": 4.8955559730529785, "learning_rate": 3.021742142362971e-08, "loss": 0.463, "step": 1170 }, { "epoch": 1.888, "grad_norm": 5.363377094268799, "learning_rate": 2.3153498206192002e-08, "loss": 0.4489, "step": 1180 }, { "epoch": 1.904, "grad_norm": 4.830941677093506, "learning_rate": 1.7022382893129074e-08, "loss": 0.4594, "step": 1190 }, { "epoch": 1.92, "grad_norm": 5.2024827003479, "learning_rate": 1.1827948028283353e-08, "loss": 0.4475, "step": 1200 }, { "epoch": 1.92, "eval_loss": 0.707037091255188, "eval_runtime": 7.654, "eval_samples_per_second": 261.3, "eval_steps_per_second": 16.331, "step": 1200 }, { "epoch": 1.936, "grad_norm": 4.656322956085205, "learning_rate": 7.57347452804974e-09, "loss": 0.4583, "step": 1210 }, { "epoch": 1.952, "grad_norm": 5.396835803985596, "learning_rate": 4.261649609079099e-09, "loss": 0.4136, "step": 1220 }, { "epoch": 1.968, "grad_norm": 4.812420845031738, "learning_rate": 1.8945650909737986e-09, "loss": 0.4706, "step": 1230 }, { "epoch": 1.984, "grad_norm": 4.871044635772705, "learning_rate": 4.737160750500902e-10, "loss": 0.4637, "step": 1240 }, { "epoch": 2.0, "grad_norm": 4.772403240203857, "learning_rate": 0.0, "loss": 0.4707, "step": 1250 }, { "epoch": 2.0, "step": 1250, "total_flos": 4.566411071245517e+16, "train_loss": 0.5696872653961181, "train_runtime": 1519.873, "train_samples_per_second": 13.159, "train_steps_per_second": 0.822 } ], "logging_steps": 10, "max_steps": 1250, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 4.566411071245517e+16, "train_batch_size": 2, "trial_name": null, "trial_params": null }