| { | |
| "best_metric": 0.9884455399784317, | |
| "best_model_checkpoint": "swin-large-patch4-window7-224-in22k-finetuned-lora-medmnistv2/checkpoint-4324", | |
| "epoch": 9.990749306197966, | |
| "eval_steps": 500, | |
| "global_step": 5400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 2.677260637283325, | |
| "learning_rate": 0.004990740740740741, | |
| "loss": 1.6626, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 2.661841630935669, | |
| "learning_rate": 0.004981481481481482, | |
| "loss": 1.0711, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 1.4014948606491089, | |
| "learning_rate": 0.0049722222222222225, | |
| "loss": 0.9878, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 1.5774717330932617, | |
| "learning_rate": 0.004962962962962963, | |
| "loss": 0.832, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 1.944169521331787, | |
| "learning_rate": 0.004953703703703703, | |
| "loss": 0.8072, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 0.9590211510658264, | |
| "learning_rate": 0.004944444444444445, | |
| "loss": 0.7049, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 1.8535215854644775, | |
| "learning_rate": 0.004935185185185186, | |
| "loss": 0.6882, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 2.145578145980835, | |
| "learning_rate": 0.004925925925925926, | |
| "loss": 0.8774, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.580334186553955, | |
| "learning_rate": 0.004916666666666666, | |
| "loss": 0.7384, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 1.8743101358413696, | |
| "learning_rate": 0.004907407407407408, | |
| "loss": 0.7732, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 1.0922596454620361, | |
| "learning_rate": 0.004898148148148148, | |
| "loss": 0.8463, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 1.5585048198699951, | |
| "learning_rate": 0.004888888888888889, | |
| "loss": 0.8079, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 1.7118746042251587, | |
| "learning_rate": 0.00487962962962963, | |
| "loss": 0.7567, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 1.6968052387237549, | |
| "learning_rate": 0.00487037037037037, | |
| "loss": 0.7144, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 1.3183552026748657, | |
| "learning_rate": 0.004861111111111111, | |
| "loss": 0.7303, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 1.2560759782791138, | |
| "learning_rate": 0.004851851851851852, | |
| "loss": 0.7694, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 1.185666561126709, | |
| "learning_rate": 0.004842592592592593, | |
| "loss": 0.6305, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 1.3163808584213257, | |
| "learning_rate": 0.004833333333333334, | |
| "loss": 0.6565, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 1.3728744983673096, | |
| "learning_rate": 0.004824074074074074, | |
| "loss": 0.663, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 1.2197016477584839, | |
| "learning_rate": 0.004814814814814814, | |
| "loss": 0.7628, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 2.1777913570404053, | |
| "learning_rate": 0.004805555555555556, | |
| "loss": 0.5866, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 2.0859122276306152, | |
| "learning_rate": 0.004796296296296297, | |
| "loss": 0.6867, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 1.4262019395828247, | |
| "learning_rate": 0.004787962962962963, | |
| "loss": 0.6883, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 1.2657884359359741, | |
| "learning_rate": 0.004778703703703704, | |
| "loss": 0.651, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.6731324195861816, | |
| "learning_rate": 0.004769444444444444, | |
| "loss": 0.6012, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 1.3679182529449463, | |
| "learning_rate": 0.004760185185185185, | |
| "loss": 0.6211, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 1.6990712881088257, | |
| "learning_rate": 0.004750925925925926, | |
| "loss": 0.6239, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 2.043832302093506, | |
| "learning_rate": 0.004741666666666667, | |
| "loss": 0.7126, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 1.4476696252822876, | |
| "learning_rate": 0.004732407407407407, | |
| "loss": 0.6775, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 1.9128739833831787, | |
| "learning_rate": 0.004723148148148148, | |
| "loss": 0.6141, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 1.5211902856826782, | |
| "learning_rate": 0.004713888888888889, | |
| "loss": 0.6442, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 3.0712132453918457, | |
| "learning_rate": 0.00470462962962963, | |
| "loss": 0.663, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 1.7837520837783813, | |
| "learning_rate": 0.004695370370370371, | |
| "loss": 0.674, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 5.605283260345459, | |
| "learning_rate": 0.004686111111111111, | |
| "loss": 0.593, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 2.6977906227111816, | |
| "learning_rate": 0.004676851851851852, | |
| "loss": 0.6011, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 1.653228998184204, | |
| "learning_rate": 0.004667592592592593, | |
| "loss": 0.615, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 1.4604382514953613, | |
| "learning_rate": 0.004658333333333333, | |
| "loss": 0.6079, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 1.8553276062011719, | |
| "learning_rate": 0.004649074074074074, | |
| "loss": 0.6564, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 2.2343759536743164, | |
| "learning_rate": 0.004639814814814815, | |
| "loss": 0.6295, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 1.534677505493164, | |
| "learning_rate": 0.004630555555555555, | |
| "loss": 0.6339, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 2.4698429107666016, | |
| "learning_rate": 0.004621296296296296, | |
| "loss": 0.7063, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 2.9529638290405273, | |
| "learning_rate": 0.004612037037037038, | |
| "loss": 0.6948, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 1.716919183731079, | |
| "learning_rate": 0.004603703703703704, | |
| "loss": 0.6224, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 2.205298662185669, | |
| "learning_rate": 0.004594444444444444, | |
| "loss": 0.6794, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 1.8521095514297485, | |
| "learning_rate": 0.004585185185185185, | |
| "loss": 0.6854, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 1.3433890342712402, | |
| "learning_rate": 0.004575925925925926, | |
| "loss": 0.6622, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 1.289505124092102, | |
| "learning_rate": 0.004566666666666667, | |
| "loss": 0.5805, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 2.4270637035369873, | |
| "learning_rate": 0.004557407407407408, | |
| "loss": 0.5984, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 2.5372653007507324, | |
| "learning_rate": 0.004548148148148148, | |
| "loss": 0.6616, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 2.072876453399658, | |
| "learning_rate": 0.004538888888888889, | |
| "loss": 0.7577, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 1.5720523595809937, | |
| "learning_rate": 0.00452962962962963, | |
| "loss": 0.5948, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 1.810542106628418, | |
| "learning_rate": 0.00452037037037037, | |
| "loss": 0.6173, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 2.1614763736724854, | |
| "learning_rate": 0.004511111111111112, | |
| "loss": 0.6523, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.757303237915039, | |
| "learning_rate": 0.004501851851851852, | |
| "loss": 0.6172, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9372977969496226, | |
| "eval_f1": 0.9422208225547629, | |
| "eval_loss": 0.191307932138443, | |
| "eval_precision": 0.9480855535269659, | |
| "eval_recall": 0.9426859850591417, | |
| "eval_runtime": 105.8196, | |
| "eval_samples_per_second": 61.34, | |
| "eval_steps_per_second": 3.837, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 1.6954269409179688, | |
| "learning_rate": 0.004492592592592592, | |
| "loss": 0.5184, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 2.1348953247070312, | |
| "learning_rate": 0.004483333333333333, | |
| "loss": 0.638, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 2.005446195602417, | |
| "learning_rate": 0.004474074074074074, | |
| "loss": 0.646, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 2.4814555644989014, | |
| "learning_rate": 0.004464814814814815, | |
| "loss": 0.6302, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 2.1637706756591797, | |
| "learning_rate": 0.0044555555555555555, | |
| "loss": 0.5987, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 1.1565651893615723, | |
| "learning_rate": 0.004446296296296296, | |
| "loss": 0.5838, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 1.41851007938385, | |
| "learning_rate": 0.004437037037037037, | |
| "loss": 0.6723, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 1.4741177558898926, | |
| "learning_rate": 0.004427777777777778, | |
| "loss": 0.6424, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 1.8886082172393799, | |
| "learning_rate": 0.004418518518518519, | |
| "loss": 0.5423, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 3.1668787002563477, | |
| "learning_rate": 0.0044092592592592595, | |
| "loss": 0.6426, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 2.8490853309631348, | |
| "learning_rate": 0.0044, | |
| "loss": 0.6451, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 1.922230839729309, | |
| "learning_rate": 0.004390740740740741, | |
| "loss": 0.646, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 1.6063907146453857, | |
| "learning_rate": 0.004381481481481482, | |
| "loss": 0.631, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 2.440619707107544, | |
| "learning_rate": 0.004372222222222223, | |
| "loss": 0.6694, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 2.543225049972534, | |
| "learning_rate": 0.0043629629629629635, | |
| "loss": 0.6064, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 2.2633233070373535, | |
| "learning_rate": 0.004353703703703703, | |
| "loss": 0.7172, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 2.6559178829193115, | |
| "learning_rate": 0.004344444444444445, | |
| "loss": 0.7276, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 2.212648391723633, | |
| "learning_rate": 0.004335185185185185, | |
| "loss": 0.6017, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 1.5736876726150513, | |
| "learning_rate": 0.004325925925925926, | |
| "loss": 0.6352, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 1.8303929567337036, | |
| "learning_rate": 0.004316666666666667, | |
| "loss": 0.5693, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 1.7651495933532715, | |
| "learning_rate": 0.004307407407407407, | |
| "loss": 0.5643, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 2.3067328929901123, | |
| "learning_rate": 0.004298148148148148, | |
| "loss": 0.6661, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 2.121184825897217, | |
| "learning_rate": 0.004288888888888889, | |
| "loss": 0.5675, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 1.3322380781173706, | |
| "learning_rate": 0.00427962962962963, | |
| "loss": 0.6631, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 1.6407716274261475, | |
| "learning_rate": 0.0042703703703703706, | |
| "loss": 0.6184, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 2.4977192878723145, | |
| "learning_rate": 0.004261111111111111, | |
| "loss": 0.5324, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 1.2957355976104736, | |
| "learning_rate": 0.004251851851851852, | |
| "loss": 0.6039, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 1.6499762535095215, | |
| "learning_rate": 0.004242592592592593, | |
| "loss": 0.6452, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 2.024014949798584, | |
| "learning_rate": 0.004233333333333334, | |
| "loss": 0.673, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 1.1818047761917114, | |
| "learning_rate": 0.004224074074074074, | |
| "loss": 0.6826, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 1.610490083694458, | |
| "learning_rate": 0.0042148148148148145, | |
| "loss": 0.6284, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 4.2171311378479, | |
| "learning_rate": 0.004205555555555556, | |
| "loss": 0.583, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 1.984252691268921, | |
| "learning_rate": 0.004196296296296296, | |
| "loss": 0.6036, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 1.9518765211105347, | |
| "learning_rate": 0.004187037037037037, | |
| "loss": 0.5909, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 2.7360193729400635, | |
| "learning_rate": 0.0041777777777777785, | |
| "loss": 0.6071, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 3.141552209854126, | |
| "learning_rate": 0.0041685185185185184, | |
| "loss": 0.5846, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 3.816471815109253, | |
| "learning_rate": 0.004159259259259259, | |
| "loss": 0.6058, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 1.957501769065857, | |
| "learning_rate": 0.00415, | |
| "loss": 0.6491, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 7.639843463897705, | |
| "learning_rate": 0.004140740740740741, | |
| "loss": 0.6144, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 2.967031955718994, | |
| "learning_rate": 0.004131481481481482, | |
| "loss": 0.7173, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 2.3182485103607178, | |
| "learning_rate": 0.004122222222222222, | |
| "loss": 0.6002, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 2.3655409812927246, | |
| "learning_rate": 0.004112962962962962, | |
| "loss": 0.5993, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 2.82918643951416, | |
| "learning_rate": 0.004103703703703704, | |
| "loss": 0.5827, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 3.4129443168640137, | |
| "learning_rate": 0.004094444444444445, | |
| "loss": 0.6606, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 2.3152365684509277, | |
| "learning_rate": 0.004085185185185185, | |
| "loss": 0.6762, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 1.8874484300613403, | |
| "learning_rate": 0.004075925925925926, | |
| "loss": 0.7619, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 1.565685510635376, | |
| "learning_rate": 0.004066666666666667, | |
| "loss": 0.7038, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 3.39355206489563, | |
| "learning_rate": 0.004057407407407407, | |
| "loss": 0.6543, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 1.670486330986023, | |
| "learning_rate": 0.004048148148148148, | |
| "loss": 0.7117, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 2.0435540676116943, | |
| "learning_rate": 0.004038888888888889, | |
| "loss": 0.7173, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 2.260481119155884, | |
| "learning_rate": 0.0040296296296296295, | |
| "loss": 0.6442, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 4.03023099899292, | |
| "learning_rate": 0.00402037037037037, | |
| "loss": 0.5518, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 2.807311773300171, | |
| "learning_rate": 0.004011111111111111, | |
| "loss": 0.5961, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 3.02470326423645, | |
| "learning_rate": 0.004001851851851852, | |
| "loss": 0.6346, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9759667231551379, | |
| "eval_f1": 0.9769796000181948, | |
| "eval_loss": 0.0756431594491005, | |
| "eval_precision": 0.9799222297554231, | |
| "eval_recall": 0.9751785999265923, | |
| "eval_runtime": 105.7688, | |
| "eval_samples_per_second": 61.37, | |
| "eval_steps_per_second": 3.839, | |
| "step": 1081 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 2.4306721687316895, | |
| "learning_rate": 0.003992592592592593, | |
| "loss": 0.5623, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "grad_norm": 3.5204544067382812, | |
| "learning_rate": 0.0039833333333333335, | |
| "loss": 0.6119, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 1.6892510652542114, | |
| "learning_rate": 0.003974074074074074, | |
| "loss": 0.6725, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 1.9901163578033447, | |
| "learning_rate": 0.003964814814814815, | |
| "loss": 0.6753, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 2.7705817222595215, | |
| "learning_rate": 0.003955555555555556, | |
| "loss": 0.6667, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "grad_norm": 2.376143217086792, | |
| "learning_rate": 0.003946296296296296, | |
| "loss": 0.6805, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 2.719224214553833, | |
| "learning_rate": 0.0039370370370370375, | |
| "loss": 0.66, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 2.0327024459838867, | |
| "learning_rate": 0.003927777777777778, | |
| "loss": 0.6336, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 1.984775424003601, | |
| "learning_rate": 0.003918518518518518, | |
| "loss": 0.5996, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "grad_norm": 2.203216075897217, | |
| "learning_rate": 0.003909259259259259, | |
| "loss": 0.6567, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 1.6019185781478882, | |
| "learning_rate": 0.0039000000000000003, | |
| "loss": 0.6497, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "grad_norm": 1.9226101636886597, | |
| "learning_rate": 0.0038907407407407406, | |
| "loss": 0.6658, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "grad_norm": 3.1916518211364746, | |
| "learning_rate": 0.0038814814814814814, | |
| "loss": 0.7171, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 1.9380624294281006, | |
| "learning_rate": 0.0038722222222222226, | |
| "loss": 0.7219, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 2.232342481613159, | |
| "learning_rate": 0.003862962962962963, | |
| "loss": 0.7147, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "grad_norm": 2.556619644165039, | |
| "learning_rate": 0.003853703703703704, | |
| "loss": 0.6061, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "grad_norm": 4.261257648468018, | |
| "learning_rate": 0.003844444444444444, | |
| "loss": 0.6232, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 5.815138339996338, | |
| "learning_rate": 0.0038351851851851854, | |
| "loss": 0.6059, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 2.543003797531128, | |
| "learning_rate": 0.003825925925925926, | |
| "loss": 0.7635, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 3.6232597827911377, | |
| "learning_rate": 0.0038166666666666666, | |
| "loss": 0.6533, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "grad_norm": 3.13364839553833, | |
| "learning_rate": 0.003807407407407408, | |
| "loss": 0.6824, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "grad_norm": 1.5059545040130615, | |
| "learning_rate": 0.003798148148148148, | |
| "loss": 0.6682, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 2.015592575073242, | |
| "learning_rate": 0.003788888888888889, | |
| "loss": 0.6536, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "grad_norm": 1.8305333852767944, | |
| "learning_rate": 0.0037796296296296297, | |
| "loss": 0.6503, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "grad_norm": 2.674013376235962, | |
| "learning_rate": 0.0037703703703703705, | |
| "loss": 0.6235, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "grad_norm": 4.233829021453857, | |
| "learning_rate": 0.0037611111111111113, | |
| "loss": 0.7144, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 2.49525785446167, | |
| "learning_rate": 0.0037518518518518517, | |
| "loss": 0.5574, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "grad_norm": 2.353803873062134, | |
| "learning_rate": 0.0037425925925925925, | |
| "loss": 0.687, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "grad_norm": 2.101120710372925, | |
| "learning_rate": 0.0037333333333333337, | |
| "loss": 0.5579, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "grad_norm": 1.9760828018188477, | |
| "learning_rate": 0.003724074074074074, | |
| "loss": 0.7199, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 3.785053014755249, | |
| "learning_rate": 0.003714814814814815, | |
| "loss": 0.6915, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "grad_norm": 3.4531219005584717, | |
| "learning_rate": 0.0037055555555555557, | |
| "loss": 0.6379, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "grad_norm": 2.45957088470459, | |
| "learning_rate": 0.0036962962962962965, | |
| "loss": 0.6632, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "grad_norm": 2.7392988204956055, | |
| "learning_rate": 0.0036870370370370373, | |
| "loss": 0.6151, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "grad_norm": 1.5700833797454834, | |
| "learning_rate": 0.0036777777777777776, | |
| "loss": 0.6362, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 2.2544972896575928, | |
| "learning_rate": 0.003668518518518519, | |
| "loss": 0.6567, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "grad_norm": 2.2333929538726807, | |
| "learning_rate": 0.0036592592592592592, | |
| "loss": 0.6005, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "grad_norm": 1.6665147542953491, | |
| "learning_rate": 0.00365, | |
| "loss": 0.5697, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "grad_norm": 2.4265899658203125, | |
| "learning_rate": 0.0036407407407407404, | |
| "loss": 0.5576, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 2.1805577278137207, | |
| "learning_rate": 0.0036314814814814816, | |
| "loss": 0.5729, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 1.8916809558868408, | |
| "learning_rate": 0.0036222222222222224, | |
| "loss": 0.6201, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "grad_norm": 1.9663447141647339, | |
| "learning_rate": 0.003612962962962963, | |
| "loss": 0.5541, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "grad_norm": 1.565356731414795, | |
| "learning_rate": 0.003603703703703704, | |
| "loss": 0.6453, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 1.5807263851165771, | |
| "learning_rate": 0.003594444444444445, | |
| "loss": 0.5988, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 2.013056993484497, | |
| "learning_rate": 0.003585185185185185, | |
| "loss": 0.5613, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "grad_norm": 2.1835033893585205, | |
| "learning_rate": 0.003575925925925926, | |
| "loss": 0.68, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "grad_norm": 3.3731331825256348, | |
| "learning_rate": 0.0035666666666666668, | |
| "loss": 0.6693, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "grad_norm": 2.4271302223205566, | |
| "learning_rate": 0.0035574074074074076, | |
| "loss": 0.5841, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 3.0260560512542725, | |
| "learning_rate": 0.003548148148148148, | |
| "loss": 0.5775, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "grad_norm": 2.215425968170166, | |
| "learning_rate": 0.0035388888888888887, | |
| "loss": 0.6203, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "grad_norm": 2.4513442516326904, | |
| "learning_rate": 0.00352962962962963, | |
| "loss": 0.6032, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "grad_norm": 3.0825629234313965, | |
| "learning_rate": 0.0035212962962962962, | |
| "loss": 0.5534, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "grad_norm": 3.933262825012207, | |
| "learning_rate": 0.003512037037037037, | |
| "loss": 0.5943, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 3.9379372596740723, | |
| "learning_rate": 0.0035027777777777783, | |
| "loss": 0.6405, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9553227545832691, | |
| "eval_f1": 0.9537075013208948, | |
| "eval_loss": 0.13096250593662262, | |
| "eval_precision": 0.959969032218872, | |
| "eval_recall": 0.9515227670577108, | |
| "eval_runtime": 105.8838, | |
| "eval_samples_per_second": 61.303, | |
| "eval_steps_per_second": 3.834, | |
| "step": 1621 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 4.636434078216553, | |
| "learning_rate": 0.0034935185185185186, | |
| "loss": 0.5521, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "grad_norm": 2.875552177429199, | |
| "learning_rate": 0.0034842592592592594, | |
| "loss": 0.584, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 2.166994333267212, | |
| "learning_rate": 0.003475, | |
| "loss": 0.6998, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "grad_norm": 2.1271350383758545, | |
| "learning_rate": 0.003465740740740741, | |
| "loss": 0.5648, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "grad_norm": 2.3423948287963867, | |
| "learning_rate": 0.0034564814814814814, | |
| "loss": 0.6761, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "grad_norm": 4.546567440032959, | |
| "learning_rate": 0.003447222222222222, | |
| "loss": 0.6555, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "grad_norm": 2.9972333908081055, | |
| "learning_rate": 0.0034379629629629634, | |
| "loss": 0.6147, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 1.9627290964126587, | |
| "learning_rate": 0.0034287037037037038, | |
| "loss": 0.6231, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "grad_norm": 3.252190589904785, | |
| "learning_rate": 0.0034194444444444446, | |
| "loss": 0.6926, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "grad_norm": 3.4038755893707275, | |
| "learning_rate": 0.003410185185185185, | |
| "loss": 0.6724, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 2.501878261566162, | |
| "learning_rate": 0.003400925925925926, | |
| "loss": 0.6141, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 2.0606675148010254, | |
| "learning_rate": 0.003391666666666667, | |
| "loss": 0.5758, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "grad_norm": 2.631194829940796, | |
| "learning_rate": 0.0033824074074074073, | |
| "loss": 0.6344, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "grad_norm": 2.717015027999878, | |
| "learning_rate": 0.003373148148148148, | |
| "loss": 0.6729, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 2.4547502994537354, | |
| "learning_rate": 0.003363888888888889, | |
| "loss": 0.6162, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "grad_norm": 4.384427070617676, | |
| "learning_rate": 0.0033546296296296297, | |
| "loss": 0.5629, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "grad_norm": 3.193366765975952, | |
| "learning_rate": 0.00334537037037037, | |
| "loss": 0.6054, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "grad_norm": 2.8141987323760986, | |
| "learning_rate": 0.0033361111111111113, | |
| "loss": 0.6117, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "grad_norm": 1.7347623109817505, | |
| "learning_rate": 0.003326851851851852, | |
| "loss": 0.6268, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "grad_norm": 5.643610000610352, | |
| "learning_rate": 0.0033175925925925925, | |
| "loss": 0.5513, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "grad_norm": 3.0566015243530273, | |
| "learning_rate": 0.0033083333333333333, | |
| "loss": 0.7019, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "grad_norm": 2.0485594272613525, | |
| "learning_rate": 0.0032990740740740745, | |
| "loss": 0.5568, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "grad_norm": 2.5610201358795166, | |
| "learning_rate": 0.003289814814814815, | |
| "loss": 0.5935, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 14.397619247436523, | |
| "learning_rate": 0.0032805555555555557, | |
| "loss": 0.5506, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "grad_norm": 2.7251882553100586, | |
| "learning_rate": 0.003271296296296296, | |
| "loss": 0.6064, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "grad_norm": 2.093822479248047, | |
| "learning_rate": 0.0032620370370370372, | |
| "loss": 0.7011, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 2.208249807357788, | |
| "learning_rate": 0.003252777777777778, | |
| "loss": 0.6524, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "grad_norm": 11.702254295349121, | |
| "learning_rate": 0.0032435185185185184, | |
| "loss": 0.6089, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "grad_norm": 3.271688938140869, | |
| "learning_rate": 0.0032342592592592596, | |
| "loss": 0.7139, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "grad_norm": 5.287911415100098, | |
| "learning_rate": 0.003225, | |
| "loss": 0.575, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "grad_norm": 3.2775847911834717, | |
| "learning_rate": 0.003215740740740741, | |
| "loss": 0.6546, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 2.3923332691192627, | |
| "learning_rate": 0.003206481481481481, | |
| "loss": 0.5964, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "grad_norm": 2.3694956302642822, | |
| "learning_rate": 0.0031972222222222224, | |
| "loss": 0.6172, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 3.5944793224334717, | |
| "learning_rate": 0.003187962962962963, | |
| "loss": 0.574, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "grad_norm": 1.8562227487564087, | |
| "learning_rate": 0.0031787037037037036, | |
| "loss": 0.6079, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 3.2188656330108643, | |
| "learning_rate": 0.0031694444444444443, | |
| "loss": 0.5484, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "grad_norm": 3.9696381092071533, | |
| "learning_rate": 0.0031601851851851856, | |
| "loss": 0.6438, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 1.935719609260559, | |
| "learning_rate": 0.003150925925925926, | |
| "loss": 0.6175, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "grad_norm": 2.686809778213501, | |
| "learning_rate": 0.0031416666666666667, | |
| "loss": 0.5267, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "grad_norm": 1.6655242443084717, | |
| "learning_rate": 0.0031324074074074075, | |
| "loss": 0.6053, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 2.1189332008361816, | |
| "learning_rate": 0.0031231481481481483, | |
| "loss": 0.5282, | |
| "step": 2030 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "grad_norm": 2.889960289001465, | |
| "learning_rate": 0.0031138888888888887, | |
| "loss": 0.61, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 3.7036290168762207, | |
| "learning_rate": 0.0031046296296296295, | |
| "loss": 0.6091, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "grad_norm": 4.608720302581787, | |
| "learning_rate": 0.0030953703703703707, | |
| "loss": 0.6725, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "grad_norm": 3.6915183067321777, | |
| "learning_rate": 0.003086111111111111, | |
| "loss": 0.6051, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "grad_norm": 5.5720133781433105, | |
| "learning_rate": 0.003076851851851852, | |
| "loss": 0.6552, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "grad_norm": 3.984224319458008, | |
| "learning_rate": 0.0030675925925925922, | |
| "loss": 0.6326, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 4.13102388381958, | |
| "learning_rate": 0.0030583333333333335, | |
| "loss": 0.6286, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "grad_norm": 5.23762845993042, | |
| "learning_rate": 0.0030490740740740743, | |
| "loss": 0.6575, | |
| "step": 2110 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "grad_norm": 3.083714008331299, | |
| "learning_rate": 0.0030398148148148146, | |
| "loss": 0.6214, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "grad_norm": 2.6413919925689697, | |
| "learning_rate": 0.003030555555555556, | |
| "loss": 0.6019, | |
| "step": 2130 | |
| }, | |
| { | |
| "epoch": 3.96, | |
| "grad_norm": 1.659439206123352, | |
| "learning_rate": 0.0030212962962962962, | |
| "loss": 0.6417, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 3.3802456855773926, | |
| "learning_rate": 0.003012037037037037, | |
| "loss": 0.5898, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 3.054283618927002, | |
| "learning_rate": 0.003002777777777778, | |
| "loss": 0.5005, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9662609767370205, | |
| "eval_f1": 0.972867802534218, | |
| "eval_loss": 0.1138468086719513, | |
| "eval_precision": 0.9756603079675337, | |
| "eval_recall": 0.971821943372282, | |
| "eval_runtime": 105.7692, | |
| "eval_samples_per_second": 61.369, | |
| "eval_steps_per_second": 3.839, | |
| "step": 2162 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "grad_norm": 3.2501673698425293, | |
| "learning_rate": 0.0029935185185185186, | |
| "loss": 0.6619, | |
| "step": 2170 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "grad_norm": 3.0431628227233887, | |
| "learning_rate": 0.0029842592592592594, | |
| "loss": 0.6635, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "grad_norm": 2.6278398036956787, | |
| "learning_rate": 0.0029749999999999998, | |
| "loss": 0.6468, | |
| "step": 2190 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "grad_norm": 1.7868436574935913, | |
| "learning_rate": 0.002965740740740741, | |
| "loss": 0.6325, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "grad_norm": 4.32276725769043, | |
| "learning_rate": 0.002956481481481482, | |
| "loss": 0.5745, | |
| "step": 2210 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "grad_norm": 1.9450454711914062, | |
| "learning_rate": 0.002947222222222222, | |
| "loss": 0.5264, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "grad_norm": 8.342818260192871, | |
| "learning_rate": 0.002937962962962963, | |
| "loss": 0.5547, | |
| "step": 2230 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "grad_norm": 4.070902347564697, | |
| "learning_rate": 0.002928703703703704, | |
| "loss": 0.5232, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "grad_norm": 2.327827215194702, | |
| "learning_rate": 0.0029194444444444446, | |
| "loss": 0.5651, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "grad_norm": 2.1814072132110596, | |
| "learning_rate": 0.0029101851851851854, | |
| "loss": 0.6027, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "grad_norm": 3.3634531497955322, | |
| "learning_rate": 0.0029009259259259257, | |
| "loss": 0.579, | |
| "step": 2270 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "grad_norm": 2.795017957687378, | |
| "learning_rate": 0.002891666666666667, | |
| "loss": 0.6487, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "grad_norm": 2.5090396404266357, | |
| "learning_rate": 0.0028824074074074073, | |
| "loss": 0.6351, | |
| "step": 2290 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "grad_norm": 4.025092601776123, | |
| "learning_rate": 0.002873148148148148, | |
| "loss": 0.6395, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "grad_norm": 2.139432668685913, | |
| "learning_rate": 0.0028638888888888893, | |
| "loss": 0.5465, | |
| "step": 2310 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "grad_norm": 2.7012085914611816, | |
| "learning_rate": 0.0028546296296296297, | |
| "loss": 0.5872, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "grad_norm": 3.428055763244629, | |
| "learning_rate": 0.0028453703703703705, | |
| "loss": 0.5588, | |
| "step": 2330 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 3.3620471954345703, | |
| "learning_rate": 0.002836111111111111, | |
| "loss": 0.5958, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "grad_norm": 1.7665202617645264, | |
| "learning_rate": 0.002826851851851852, | |
| "loss": 0.4828, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "grad_norm": 2.4530186653137207, | |
| "learning_rate": 0.002817592592592593, | |
| "loss": 0.6112, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "grad_norm": 1.5522198677062988, | |
| "learning_rate": 0.0028083333333333333, | |
| "loss": 0.6276, | |
| "step": 2370 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "grad_norm": 2.6151957511901855, | |
| "learning_rate": 0.002799074074074074, | |
| "loss": 0.5665, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 4.42, | |
| "grad_norm": 2.1417715549468994, | |
| "learning_rate": 0.002789814814814815, | |
| "loss": 0.5213, | |
| "step": 2390 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "grad_norm": 3.485398530960083, | |
| "learning_rate": 0.0027805555555555556, | |
| "loss": 0.6137, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "grad_norm": 7.003100395202637, | |
| "learning_rate": 0.002771296296296296, | |
| "loss": 0.5872, | |
| "step": 2410 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "grad_norm": 3.0954577922821045, | |
| "learning_rate": 0.0027620370370370372, | |
| "loss": 0.5891, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "grad_norm": 6.439086437225342, | |
| "learning_rate": 0.002752777777777778, | |
| "loss": 0.6085, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 4.51, | |
| "grad_norm": 3.5923094749450684, | |
| "learning_rate": 0.0027435185185185184, | |
| "loss": 0.6787, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "grad_norm": 2.043170690536499, | |
| "learning_rate": 0.002734259259259259, | |
| "loss": 0.5666, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "grad_norm": 2.8164470195770264, | |
| "learning_rate": 0.0027250000000000004, | |
| "loss": 0.6586, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "grad_norm": 2.2632648944854736, | |
| "learning_rate": 0.002715740740740741, | |
| "loss": 0.6106, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "grad_norm": 2.98234224319458, | |
| "learning_rate": 0.0027064814814814816, | |
| "loss": 0.5545, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "grad_norm": 2.2962846755981445, | |
| "learning_rate": 0.002697222222222222, | |
| "loss": 0.5755, | |
| "step": 2490 | |
| }, | |
| { | |
| "epoch": 4.63, | |
| "grad_norm": 4.67765474319458, | |
| "learning_rate": 0.002687962962962963, | |
| "loss": 0.4411, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "grad_norm": 3.6627418994903564, | |
| "learning_rate": 0.0026787037037037035, | |
| "loss": 0.63, | |
| "step": 2510 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "grad_norm": 3.7983245849609375, | |
| "learning_rate": 0.0026694444444444443, | |
| "loss": 0.5024, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "grad_norm": 2.797543525695801, | |
| "learning_rate": 0.0026601851851851856, | |
| "loss": 0.5812, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "grad_norm": 2.688131332397461, | |
| "learning_rate": 0.002650925925925926, | |
| "loss": 0.6246, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "grad_norm": 3.1840107440948486, | |
| "learning_rate": 0.0026416666666666667, | |
| "loss": 0.5858, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 4.74, | |
| "grad_norm": 1.386940598487854, | |
| "learning_rate": 0.002632407407407407, | |
| "loss": 0.5242, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 2.7501676082611084, | |
| "learning_rate": 0.0026231481481481483, | |
| "loss": 0.5272, | |
| "step": 2570 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "grad_norm": 2.656128406524658, | |
| "learning_rate": 0.002613888888888889, | |
| "loss": 0.5537, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "grad_norm": 3.3853468894958496, | |
| "learning_rate": 0.0026046296296296295, | |
| "loss": 0.6347, | |
| "step": 2590 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "grad_norm": 3.0706825256347656, | |
| "learning_rate": 0.0025953703703703703, | |
| "loss": 0.5902, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "grad_norm": 2.470815658569336, | |
| "learning_rate": 0.0025861111111111115, | |
| "loss": 0.5707, | |
| "step": 2610 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "grad_norm": 2.8364624977111816, | |
| "learning_rate": 0.002576851851851852, | |
| "loss": 0.6205, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 2.347895860671997, | |
| "learning_rate": 0.0025675925925925927, | |
| "loss": 0.6068, | |
| "step": 2630 | |
| }, | |
| { | |
| "epoch": 4.88, | |
| "grad_norm": 2.5347235202789307, | |
| "learning_rate": 0.0025583333333333335, | |
| "loss": 0.5555, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "grad_norm": 1.7792493104934692, | |
| "learning_rate": 0.0025490740740740743, | |
| "loss": 0.6124, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "grad_norm": 1.5881773233413696, | |
| "learning_rate": 0.0025398148148148146, | |
| "loss": 0.5311, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "grad_norm": 2.866182327270508, | |
| "learning_rate": 0.0025305555555555554, | |
| "loss": 0.5833, | |
| "step": 2670 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "grad_norm": 2.6761910915374756, | |
| "learning_rate": 0.0025212962962962967, | |
| "loss": 0.5367, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "grad_norm": 3.0073177814483643, | |
| "learning_rate": 0.002512037037037037, | |
| "loss": 0.5316, | |
| "step": 2690 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.769132375717163, | |
| "learning_rate": 0.002502777777777778, | |
| "loss": 0.5669, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9602526575258049, | |
| "eval_f1": 0.9665087531565827, | |
| "eval_loss": 0.11420344561338425, | |
| "eval_precision": 0.9704223501308576, | |
| "eval_recall": 0.9647162237423828, | |
| "eval_runtime": 105.6456, | |
| "eval_samples_per_second": 61.441, | |
| "eval_steps_per_second": 3.843, | |
| "step": 2702 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "grad_norm": 2.4607672691345215, | |
| "learning_rate": 0.0024935185185185186, | |
| "loss": 0.5564, | |
| "step": 2710 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "grad_norm": 1.7590909004211426, | |
| "learning_rate": 0.0024842592592592594, | |
| "loss": 0.5319, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 5.05, | |
| "grad_norm": 6.092741966247559, | |
| "learning_rate": 0.002475, | |
| "loss": 0.5901, | |
| "step": 2730 | |
| }, | |
| { | |
| "epoch": 5.07, | |
| "grad_norm": 2.170964479446411, | |
| "learning_rate": 0.002465740740740741, | |
| "loss": 0.5454, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 5.09, | |
| "grad_norm": 1.7933937311172485, | |
| "learning_rate": 0.0024564814814814814, | |
| "loss": 0.5448, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 5.11, | |
| "grad_norm": 1.6023855209350586, | |
| "learning_rate": 0.002447222222222222, | |
| "loss": 0.5337, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "grad_norm": 2.6876323223114014, | |
| "learning_rate": 0.002437962962962963, | |
| "loss": 0.621, | |
| "step": 2770 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "grad_norm": 3.007115125656128, | |
| "learning_rate": 0.0024287037037037038, | |
| "loss": 0.6147, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "grad_norm": 1.462850570678711, | |
| "learning_rate": 0.0024194444444444446, | |
| "loss": 0.5601, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "grad_norm": 2.3480947017669678, | |
| "learning_rate": 0.0024101851851851853, | |
| "loss": 0.5242, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.2, | |
| "grad_norm": 2.632812023162842, | |
| "learning_rate": 0.0024009259259259257, | |
| "loss": 0.5104, | |
| "step": 2810 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "grad_norm": 4.110454559326172, | |
| "learning_rate": 0.0023916666666666665, | |
| "loss": 0.5169, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 5.24, | |
| "grad_norm": 1.5732221603393555, | |
| "learning_rate": 0.0023824074074074077, | |
| "loss": 0.5126, | |
| "step": 2830 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "grad_norm": 2.7537384033203125, | |
| "learning_rate": 0.002373148148148148, | |
| "loss": 0.5494, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "grad_norm": 1.9949324131011963, | |
| "learning_rate": 0.002363888888888889, | |
| "loss": 0.6381, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "grad_norm": 2.0324654579162598, | |
| "learning_rate": 0.0023546296296296297, | |
| "loss": 0.5944, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "grad_norm": 2.691060781478882, | |
| "learning_rate": 0.0023453703703703705, | |
| "loss": 0.5745, | |
| "step": 2870 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "grad_norm": 3.5940804481506348, | |
| "learning_rate": 0.0023361111111111113, | |
| "loss": 0.5423, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 5.35, | |
| "grad_norm": 2.7014036178588867, | |
| "learning_rate": 0.002326851851851852, | |
| "loss": 0.5708, | |
| "step": 2890 | |
| }, | |
| { | |
| "epoch": 5.37, | |
| "grad_norm": 4.630244255065918, | |
| "learning_rate": 0.0023175925925925924, | |
| "loss": 0.5235, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "grad_norm": 4.1839752197265625, | |
| "learning_rate": 0.0023083333333333332, | |
| "loss": 0.5385, | |
| "step": 2910 | |
| }, | |
| { | |
| "epoch": 5.4, | |
| "grad_norm": 2.4296653270721436, | |
| "learning_rate": 0.002299074074074074, | |
| "loss": 0.4755, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "grad_norm": 3.140748977661133, | |
| "learning_rate": 0.002289814814814815, | |
| "loss": 0.5625, | |
| "step": 2930 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "grad_norm": 3.9935102462768555, | |
| "learning_rate": 0.0022805555555555556, | |
| "loss": 0.5864, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 5.46, | |
| "grad_norm": 3.6175553798675537, | |
| "learning_rate": 0.0022712962962962964, | |
| "loss": 0.4942, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 5.48, | |
| "grad_norm": 2.6416540145874023, | |
| "learning_rate": 0.0022620370370370372, | |
| "loss": 0.5522, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 5.49, | |
| "grad_norm": 2.512601137161255, | |
| "learning_rate": 0.0022527777777777776, | |
| "loss": 0.5134, | |
| "step": 2970 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "grad_norm": 2.6757636070251465, | |
| "learning_rate": 0.002243518518518519, | |
| "loss": 0.4753, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 5.53, | |
| "grad_norm": 5.020870208740234, | |
| "learning_rate": 0.002234259259259259, | |
| "loss": 0.5596, | |
| "step": 2990 | |
| }, | |
| { | |
| "epoch": 5.55, | |
| "grad_norm": 1.6189966201782227, | |
| "learning_rate": 0.002225, | |
| "loss": 0.4691, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "grad_norm": 1.8074935674667358, | |
| "learning_rate": 0.0022157407407407408, | |
| "loss": 0.5388, | |
| "step": 3010 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "grad_norm": 2.1580889225006104, | |
| "learning_rate": 0.0022064814814814816, | |
| "loss": 0.5539, | |
| "step": 3020 | |
| }, | |
| { | |
| "epoch": 5.61, | |
| "grad_norm": 3.8424339294433594, | |
| "learning_rate": 0.0021972222222222224, | |
| "loss": 0.5362, | |
| "step": 3030 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "grad_norm": 2.5609259605407715, | |
| "learning_rate": 0.002187962962962963, | |
| "loss": 0.4883, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "grad_norm": 3.077549934387207, | |
| "learning_rate": 0.002178703703703704, | |
| "loss": 0.5324, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "grad_norm": 3.0118846893310547, | |
| "learning_rate": 0.0021694444444444443, | |
| "loss": 0.483, | |
| "step": 3060 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "grad_norm": 2.3558125495910645, | |
| "learning_rate": 0.002160185185185185, | |
| "loss": 0.5453, | |
| "step": 3070 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "grad_norm": 3.1456894874572754, | |
| "learning_rate": 0.002150925925925926, | |
| "loss": 0.5333, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "grad_norm": 2.671800374984741, | |
| "learning_rate": 0.0021416666666666667, | |
| "loss": 0.5446, | |
| "step": 3090 | |
| }, | |
| { | |
| "epoch": 5.74, | |
| "grad_norm": 4.476646423339844, | |
| "learning_rate": 0.0021324074074074075, | |
| "loss": 0.5464, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "grad_norm": 2.332273483276367, | |
| "learning_rate": 0.0021231481481481483, | |
| "loss": 0.4712, | |
| "step": 3110 | |
| }, | |
| { | |
| "epoch": 5.77, | |
| "grad_norm": 2.072690725326538, | |
| "learning_rate": 0.0021138888888888887, | |
| "loss": 0.4919, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 5.79, | |
| "grad_norm": 2.1038475036621094, | |
| "learning_rate": 0.0021046296296296295, | |
| "loss": 0.4628, | |
| "step": 3130 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "grad_norm": 3.188100576400757, | |
| "learning_rate": 0.0020953703703703707, | |
| "loss": 0.5378, | |
| "step": 3140 | |
| }, | |
| { | |
| "epoch": 5.83, | |
| "grad_norm": 1.139237403869629, | |
| "learning_rate": 0.002086111111111111, | |
| "loss": 0.4754, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "grad_norm": 1.6128747463226318, | |
| "learning_rate": 0.002076851851851852, | |
| "loss": 0.4934, | |
| "step": 3160 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "grad_norm": 2.8483083248138428, | |
| "learning_rate": 0.0020675925925925927, | |
| "loss": 0.5424, | |
| "step": 3170 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "grad_norm": 2.0242919921875, | |
| "learning_rate": 0.0020583333333333335, | |
| "loss": 0.5385, | |
| "step": 3180 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "grad_norm": 2.0240182876586914, | |
| "learning_rate": 0.002049074074074074, | |
| "loss": 0.5485, | |
| "step": 3190 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "grad_norm": 4.104608535766602, | |
| "learning_rate": 0.002039814814814815, | |
| "loss": 0.5597, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "grad_norm": 2.405686616897583, | |
| "learning_rate": 0.0020305555555555554, | |
| "loss": 0.6002, | |
| "step": 3210 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "grad_norm": 2.7426254749298096, | |
| "learning_rate": 0.002021296296296296, | |
| "loss": 0.544, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "grad_norm": 2.5380473136901855, | |
| "learning_rate": 0.002012037037037037, | |
| "loss": 0.52, | |
| "step": 3230 | |
| }, | |
| { | |
| "epoch": 5.99, | |
| "grad_norm": 2.7862181663513184, | |
| "learning_rate": 0.002002777777777778, | |
| "loss": 0.5548, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9771991988907719, | |
| "eval_f1": 0.9795134539181521, | |
| "eval_loss": 0.056862443685531616, | |
| "eval_precision": 0.9812055832949096, | |
| "eval_recall": 0.9784771483290412, | |
| "eval_runtime": 105.3717, | |
| "eval_samples_per_second": 61.601, | |
| "eval_steps_per_second": 3.853, | |
| "step": 3243 | |
| }, | |
| { | |
| "epoch": 6.01, | |
| "grad_norm": 3.968397378921509, | |
| "learning_rate": 0.0019935185185185186, | |
| "loss": 0.5039, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "grad_norm": 1.8520976305007935, | |
| "learning_rate": 0.0019842592592592594, | |
| "loss": 0.498, | |
| "step": 3260 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "grad_norm": 2.38435959815979, | |
| "learning_rate": 0.001975, | |
| "loss": 0.4984, | |
| "step": 3270 | |
| }, | |
| { | |
| "epoch": 6.07, | |
| "grad_norm": 2.9417970180511475, | |
| "learning_rate": 0.0019657407407407406, | |
| "loss": 0.489, | |
| "step": 3280 | |
| }, | |
| { | |
| "epoch": 6.09, | |
| "grad_norm": 2.5652129650115967, | |
| "learning_rate": 0.001956481481481482, | |
| "loss": 0.5028, | |
| "step": 3290 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "grad_norm": 3.151473045349121, | |
| "learning_rate": 0.0019472222222222221, | |
| "loss": 0.4651, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "grad_norm": 2.743474006652832, | |
| "learning_rate": 0.001937962962962963, | |
| "loss": 0.4489, | |
| "step": 3310 | |
| }, | |
| { | |
| "epoch": 6.14, | |
| "grad_norm": 2.15732741355896, | |
| "learning_rate": 0.0019287037037037035, | |
| "loss": 0.4736, | |
| "step": 3320 | |
| }, | |
| { | |
| "epoch": 6.16, | |
| "grad_norm": 3.1959879398345947, | |
| "learning_rate": 0.0019194444444444445, | |
| "loss": 0.4998, | |
| "step": 3330 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "grad_norm": 3.215951919555664, | |
| "learning_rate": 0.0019101851851851853, | |
| "loss": 0.4991, | |
| "step": 3340 | |
| }, | |
| { | |
| "epoch": 6.2, | |
| "grad_norm": 2.889775276184082, | |
| "learning_rate": 0.001900925925925926, | |
| "loss": 0.4817, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "grad_norm": 3.2150237560272217, | |
| "learning_rate": 0.0018916666666666667, | |
| "loss": 0.5287, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "grad_norm": 1.6671727895736694, | |
| "learning_rate": 0.0018824074074074075, | |
| "loss": 0.4492, | |
| "step": 3370 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 2.812654733657837, | |
| "learning_rate": 0.0018731481481481483, | |
| "loss": 0.5098, | |
| "step": 3380 | |
| }, | |
| { | |
| "epoch": 6.27, | |
| "grad_norm": 2.0343258380889893, | |
| "learning_rate": 0.0018638888888888889, | |
| "loss": 0.4513, | |
| "step": 3390 | |
| }, | |
| { | |
| "epoch": 6.29, | |
| "grad_norm": 2.830615997314453, | |
| "learning_rate": 0.0018546296296296297, | |
| "loss": 0.4621, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "grad_norm": 1.4622855186462402, | |
| "learning_rate": 0.0018453703703703703, | |
| "loss": 0.4741, | |
| "step": 3410 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "grad_norm": 2.521087884902954, | |
| "learning_rate": 0.0018361111111111113, | |
| "loss": 0.4932, | |
| "step": 3420 | |
| }, | |
| { | |
| "epoch": 6.35, | |
| "grad_norm": 2.6355080604553223, | |
| "learning_rate": 0.0018268518518518519, | |
| "loss": 0.4676, | |
| "step": 3430 | |
| }, | |
| { | |
| "epoch": 6.36, | |
| "grad_norm": 6.4964189529418945, | |
| "learning_rate": 0.0018175925925925927, | |
| "loss": 0.4437, | |
| "step": 3440 | |
| }, | |
| { | |
| "epoch": 6.38, | |
| "grad_norm": 2.58648943901062, | |
| "learning_rate": 0.0018083333333333335, | |
| "loss": 0.4583, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 2.710174560546875, | |
| "learning_rate": 0.001799074074074074, | |
| "loss": 0.5327, | |
| "step": 3460 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "grad_norm": 4.029747486114502, | |
| "learning_rate": 0.001789814814814815, | |
| "loss": 0.5417, | |
| "step": 3470 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "grad_norm": 1.4080957174301147, | |
| "learning_rate": 0.0017805555555555556, | |
| "loss": 0.527, | |
| "step": 3480 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "grad_norm": 2.5939226150512695, | |
| "learning_rate": 0.0017712962962962964, | |
| "loss": 0.4533, | |
| "step": 3490 | |
| }, | |
| { | |
| "epoch": 6.48, | |
| "grad_norm": 1.7863126993179321, | |
| "learning_rate": 0.001762037037037037, | |
| "loss": 0.4796, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "grad_norm": 2.5097310543060303, | |
| "learning_rate": 0.0017527777777777778, | |
| "loss": 0.5026, | |
| "step": 3510 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "grad_norm": 3.5115163326263428, | |
| "learning_rate": 0.0017435185185185184, | |
| "loss": 0.5033, | |
| "step": 3520 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "grad_norm": 3.9437549114227295, | |
| "learning_rate": 0.0017342592592592594, | |
| "loss": 0.5327, | |
| "step": 3530 | |
| }, | |
| { | |
| "epoch": 6.55, | |
| "grad_norm": 2.61135196685791, | |
| "learning_rate": 0.001725, | |
| "loss": 0.4928, | |
| "step": 3540 | |
| }, | |
| { | |
| "epoch": 6.57, | |
| "grad_norm": 2.595803737640381, | |
| "learning_rate": 0.0017157407407407408, | |
| "loss": 0.4475, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "grad_norm": 2.401987075805664, | |
| "learning_rate": 0.0017064814814814816, | |
| "loss": 0.4093, | |
| "step": 3560 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "grad_norm": 2.670671224594116, | |
| "learning_rate": 0.0016972222222222221, | |
| "loss": 0.4736, | |
| "step": 3570 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "grad_norm": 2.6677041053771973, | |
| "learning_rate": 0.0016879629629629632, | |
| "loss": 0.3864, | |
| "step": 3580 | |
| }, | |
| { | |
| "epoch": 6.64, | |
| "grad_norm": 2.3009049892425537, | |
| "learning_rate": 0.0016787037037037037, | |
| "loss": 0.486, | |
| "step": 3590 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "grad_norm": 3.2118513584136963, | |
| "learning_rate": 0.0016694444444444445, | |
| "loss": 0.4634, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 6.68, | |
| "grad_norm": 2.185634136199951, | |
| "learning_rate": 0.0016601851851851851, | |
| "loss": 0.4865, | |
| "step": 3610 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "grad_norm": 4.046822547912598, | |
| "learning_rate": 0.001650925925925926, | |
| "loss": 0.4624, | |
| "step": 3620 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "grad_norm": 2.3376824855804443, | |
| "learning_rate": 0.0016416666666666665, | |
| "loss": 0.4652, | |
| "step": 3630 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "grad_norm": 3.318936347961426, | |
| "learning_rate": 0.0016324074074074075, | |
| "loss": 0.4595, | |
| "step": 3640 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "grad_norm": 2.0213863849639893, | |
| "learning_rate": 0.0016231481481481483, | |
| "loss": 0.4768, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 6.77, | |
| "grad_norm": 1.718332052230835, | |
| "learning_rate": 0.0016138888888888889, | |
| "loss": 0.5239, | |
| "step": 3660 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "grad_norm": 1.7439289093017578, | |
| "learning_rate": 0.0016046296296296297, | |
| "loss": 0.525, | |
| "step": 3670 | |
| }, | |
| { | |
| "epoch": 6.81, | |
| "grad_norm": 2.79032826423645, | |
| "learning_rate": 0.0015953703703703703, | |
| "loss": 0.4299, | |
| "step": 3680 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "grad_norm": 1.8835906982421875, | |
| "learning_rate": 0.0015861111111111113, | |
| "loss": 0.4833, | |
| "step": 3690 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "grad_norm": 2.179826021194458, | |
| "learning_rate": 0.0015768518518518519, | |
| "loss": 0.4499, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "grad_norm": 2.882157325744629, | |
| "learning_rate": 0.0015675925925925926, | |
| "loss": 0.4296, | |
| "step": 3710 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "grad_norm": 2.04009747505188, | |
| "learning_rate": 0.0015583333333333332, | |
| "loss": 0.4246, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "grad_norm": 1.883562684059143, | |
| "learning_rate": 0.0015490740740740742, | |
| "loss": 0.4877, | |
| "step": 3730 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "grad_norm": 2.195427179336548, | |
| "learning_rate": 0.0015398148148148148, | |
| "loss": 0.4985, | |
| "step": 3740 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "grad_norm": 1.643837332725525, | |
| "learning_rate": 0.0015305555555555556, | |
| "loss": 0.4668, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "grad_norm": 1.886772871017456, | |
| "learning_rate": 0.0015212962962962964, | |
| "loss": 0.4143, | |
| "step": 3760 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "grad_norm": 1.8772404193878174, | |
| "learning_rate": 0.001512037037037037, | |
| "loss": 0.4765, | |
| "step": 3770 | |
| }, | |
| { | |
| "epoch": 6.99, | |
| "grad_norm": 2.053422689437866, | |
| "learning_rate": 0.001502777777777778, | |
| "loss": 0.4298, | |
| "step": 3780 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9662609767370205, | |
| "eval_f1": 0.9735569034773577, | |
| "eval_loss": 0.09894031286239624, | |
| "eval_precision": 0.9770102531109687, | |
| "eval_recall": 0.9722826041431603, | |
| "eval_runtime": 105.603, | |
| "eval_samples_per_second": 61.466, | |
| "eval_steps_per_second": 3.845, | |
| "step": 3783 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "grad_norm": 2.0501725673675537, | |
| "learning_rate": 0.0014935185185185186, | |
| "loss": 0.4187, | |
| "step": 3790 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "grad_norm": 1.9505852460861206, | |
| "learning_rate": 0.0014842592592592594, | |
| "loss": 0.5045, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "grad_norm": 2.5469818115234375, | |
| "learning_rate": 0.001475, | |
| "loss": 0.4567, | |
| "step": 3810 | |
| }, | |
| { | |
| "epoch": 7.07, | |
| "grad_norm": 3.28265643119812, | |
| "learning_rate": 0.0014657407407407408, | |
| "loss": 0.4738, | |
| "step": 3820 | |
| }, | |
| { | |
| "epoch": 7.09, | |
| "grad_norm": 0.9891900420188904, | |
| "learning_rate": 0.0014564814814814813, | |
| "loss": 0.4332, | |
| "step": 3830 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "grad_norm": 2.7753162384033203, | |
| "learning_rate": 0.0014472222222222224, | |
| "loss": 0.4334, | |
| "step": 3840 | |
| }, | |
| { | |
| "epoch": 7.12, | |
| "grad_norm": 2.795895576477051, | |
| "learning_rate": 0.001437962962962963, | |
| "loss": 0.5147, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 7.14, | |
| "grad_norm": 1.353401780128479, | |
| "learning_rate": 0.0014287037037037037, | |
| "loss": 0.4358, | |
| "step": 3860 | |
| }, | |
| { | |
| "epoch": 7.16, | |
| "grad_norm": 2.1106724739074707, | |
| "learning_rate": 0.0014194444444444445, | |
| "loss": 0.3712, | |
| "step": 3870 | |
| }, | |
| { | |
| "epoch": 7.18, | |
| "grad_norm": 3.6988472938537598, | |
| "learning_rate": 0.0014101851851851851, | |
| "loss": 0.4664, | |
| "step": 3880 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "grad_norm": 2.6754424571990967, | |
| "learning_rate": 0.0014009259259259261, | |
| "loss": 0.4231, | |
| "step": 3890 | |
| }, | |
| { | |
| "epoch": 7.22, | |
| "grad_norm": 2.6841065883636475, | |
| "learning_rate": 0.0013916666666666667, | |
| "loss": 0.4378, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "grad_norm": 2.5743584632873535, | |
| "learning_rate": 0.0013824074074074075, | |
| "loss": 0.3719, | |
| "step": 3910 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "grad_norm": 1.586349606513977, | |
| "learning_rate": 0.001373148148148148, | |
| "loss": 0.3748, | |
| "step": 3920 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "grad_norm": 1.5181403160095215, | |
| "learning_rate": 0.0013638888888888889, | |
| "loss": 0.4544, | |
| "step": 3930 | |
| }, | |
| { | |
| "epoch": 7.29, | |
| "grad_norm": 1.539527416229248, | |
| "learning_rate": 0.0013546296296296295, | |
| "loss": 0.3758, | |
| "step": 3940 | |
| }, | |
| { | |
| "epoch": 7.31, | |
| "grad_norm": 1.6864418983459473, | |
| "learning_rate": 0.0013453703703703705, | |
| "loss": 0.3795, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 7.33, | |
| "grad_norm": 2.111827850341797, | |
| "learning_rate": 0.0013361111111111113, | |
| "loss": 0.4379, | |
| "step": 3960 | |
| }, | |
| { | |
| "epoch": 7.35, | |
| "grad_norm": 1.9402803182601929, | |
| "learning_rate": 0.0013268518518518518, | |
| "loss": 0.446, | |
| "step": 3970 | |
| }, | |
| { | |
| "epoch": 7.36, | |
| "grad_norm": 1.413064956665039, | |
| "learning_rate": 0.0013175925925925926, | |
| "loss": 0.509, | |
| "step": 3980 | |
| }, | |
| { | |
| "epoch": 7.38, | |
| "grad_norm": 1.7911455631256104, | |
| "learning_rate": 0.0013083333333333332, | |
| "loss": 0.4938, | |
| "step": 3990 | |
| }, | |
| { | |
| "epoch": 7.4, | |
| "grad_norm": 2.256588935852051, | |
| "learning_rate": 0.0012990740740740742, | |
| "loss": 0.4844, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.42, | |
| "grad_norm": 1.993911623954773, | |
| "learning_rate": 0.0012898148148148148, | |
| "loss": 0.419, | |
| "step": 4010 | |
| }, | |
| { | |
| "epoch": 7.44, | |
| "grad_norm": 1.3340710401535034, | |
| "learning_rate": 0.0012805555555555556, | |
| "loss": 0.4464, | |
| "step": 4020 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "grad_norm": 2.902743339538574, | |
| "learning_rate": 0.0012712962962962962, | |
| "loss": 0.4538, | |
| "step": 4030 | |
| }, | |
| { | |
| "epoch": 7.47, | |
| "grad_norm": 2.30949068069458, | |
| "learning_rate": 0.001262037037037037, | |
| "loss": 0.4209, | |
| "step": 4040 | |
| }, | |
| { | |
| "epoch": 7.49, | |
| "grad_norm": 2.7385501861572266, | |
| "learning_rate": 0.0012527777777777778, | |
| "loss": 0.3801, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "grad_norm": 1.1858464479446411, | |
| "learning_rate": 0.0012435185185185186, | |
| "loss": 0.3956, | |
| "step": 4060 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "grad_norm": 1.694409728050232, | |
| "learning_rate": 0.0012342592592592594, | |
| "loss": 0.3786, | |
| "step": 4070 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "grad_norm": 2.7329421043395996, | |
| "learning_rate": 0.001225, | |
| "loss": 0.4497, | |
| "step": 4080 | |
| }, | |
| { | |
| "epoch": 7.57, | |
| "grad_norm": 2.352189540863037, | |
| "learning_rate": 0.0012157407407407408, | |
| "loss": 0.3877, | |
| "step": 4090 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "grad_norm": 4.443812847137451, | |
| "learning_rate": 0.0012064814814814816, | |
| "loss": 0.367, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 7.6, | |
| "grad_norm": 2.3426809310913086, | |
| "learning_rate": 0.0011972222222222221, | |
| "loss": 0.4192, | |
| "step": 4110 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "grad_norm": 2.791630268096924, | |
| "learning_rate": 0.0011879629629629631, | |
| "loss": 0.407, | |
| "step": 4120 | |
| }, | |
| { | |
| "epoch": 7.64, | |
| "grad_norm": 2.74001145362854, | |
| "learning_rate": 0.0011787037037037037, | |
| "loss": 0.3679, | |
| "step": 4130 | |
| }, | |
| { | |
| "epoch": 7.66, | |
| "grad_norm": 3.0963590145111084, | |
| "learning_rate": 0.0011694444444444445, | |
| "loss": 0.3808, | |
| "step": 4140 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "grad_norm": 1.7934086322784424, | |
| "learning_rate": 0.0011601851851851853, | |
| "loss": 0.427, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 7.7, | |
| "grad_norm": 2.269930601119995, | |
| "learning_rate": 0.001150925925925926, | |
| "loss": 0.3847, | |
| "step": 4160 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "grad_norm": 1.5360560417175293, | |
| "learning_rate": 0.0011416666666666667, | |
| "loss": 0.4534, | |
| "step": 4170 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "grad_norm": 1.9300364255905151, | |
| "learning_rate": 0.0011324074074074075, | |
| "loss": 0.4014, | |
| "step": 4180 | |
| }, | |
| { | |
| "epoch": 7.75, | |
| "grad_norm": 1.613265037536621, | |
| "learning_rate": 0.001123148148148148, | |
| "loss": 0.4852, | |
| "step": 4190 | |
| }, | |
| { | |
| "epoch": 7.77, | |
| "grad_norm": 1.625320553779602, | |
| "learning_rate": 0.0011138888888888889, | |
| "loss": 0.4753, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "grad_norm": 2.176623821258545, | |
| "learning_rate": 0.0011046296296296297, | |
| "loss": 0.4611, | |
| "step": 4210 | |
| }, | |
| { | |
| "epoch": 7.81, | |
| "grad_norm": 2.2461256980895996, | |
| "learning_rate": 0.0010953703703703705, | |
| "loss": 0.4326, | |
| "step": 4220 | |
| }, | |
| { | |
| "epoch": 7.83, | |
| "grad_norm": 2.6430141925811768, | |
| "learning_rate": 0.0010861111111111113, | |
| "loss": 0.3267, | |
| "step": 4230 | |
| }, | |
| { | |
| "epoch": 7.84, | |
| "grad_norm": 2.5161099433898926, | |
| "learning_rate": 0.0010768518518518518, | |
| "loss": 0.4114, | |
| "step": 4240 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "grad_norm": 2.0569732189178467, | |
| "learning_rate": 0.0010675925925925926, | |
| "loss": 0.4323, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 7.88, | |
| "grad_norm": 1.884279489517212, | |
| "learning_rate": 0.0010583333333333334, | |
| "loss": 0.4652, | |
| "step": 4260 | |
| }, | |
| { | |
| "epoch": 7.9, | |
| "grad_norm": 1.4818202257156372, | |
| "learning_rate": 0.001049074074074074, | |
| "loss": 0.3994, | |
| "step": 4270 | |
| }, | |
| { | |
| "epoch": 7.92, | |
| "grad_norm": 2.8348388671875, | |
| "learning_rate": 0.0010398148148148148, | |
| "loss": 0.3829, | |
| "step": 4280 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "grad_norm": 1.3215655088424683, | |
| "learning_rate": 0.0010305555555555556, | |
| "loss": 0.4266, | |
| "step": 4290 | |
| }, | |
| { | |
| "epoch": 7.96, | |
| "grad_norm": 2.0123190879821777, | |
| "learning_rate": 0.0010212962962962962, | |
| "loss": 0.3671, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 7.97, | |
| "grad_norm": 2.014122486114502, | |
| "learning_rate": 0.001012037037037037, | |
| "loss": 0.4353, | |
| "step": 4310 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "grad_norm": 5.686545372009277, | |
| "learning_rate": 0.0010027777777777778, | |
| "loss": 0.3932, | |
| "step": 4320 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9884455399784317, | |
| "eval_f1": 0.989380892500223, | |
| "eval_loss": 0.03349991887807846, | |
| "eval_precision": 0.9903161849271732, | |
| "eval_recall": 0.9887487397554633, | |
| "eval_runtime": 105.0862, | |
| "eval_samples_per_second": 61.768, | |
| "eval_steps_per_second": 3.863, | |
| "step": 4324 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "grad_norm": 1.598591685295105, | |
| "learning_rate": 0.0009935185185185186, | |
| "loss": 0.4489, | |
| "step": 4330 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "grad_norm": 1.8468151092529297, | |
| "learning_rate": 0.0009842592592592594, | |
| "loss": 0.3364, | |
| "step": 4340 | |
| }, | |
| { | |
| "epoch": 8.05, | |
| "grad_norm": 2.6677463054656982, | |
| "learning_rate": 0.0009750000000000001, | |
| "loss": 0.4332, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 8.07, | |
| "grad_norm": 2.6927859783172607, | |
| "learning_rate": 0.0009657407407407408, | |
| "loss": 0.4052, | |
| "step": 4360 | |
| }, | |
| { | |
| "epoch": 8.09, | |
| "grad_norm": 1.6345399618148804, | |
| "learning_rate": 0.0009564814814814815, | |
| "loss": 0.4157, | |
| "step": 4370 | |
| }, | |
| { | |
| "epoch": 8.1, | |
| "grad_norm": 2.7183444499969482, | |
| "learning_rate": 0.0009472222222222222, | |
| "loss": 0.4309, | |
| "step": 4380 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "grad_norm": 1.2181589603424072, | |
| "learning_rate": 0.0009379629629629629, | |
| "loss": 0.34, | |
| "step": 4390 | |
| }, | |
| { | |
| "epoch": 8.14, | |
| "grad_norm": 1.3929060697555542, | |
| "learning_rate": 0.0009287037037037037, | |
| "loss": 0.3394, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "grad_norm": 2.487053632736206, | |
| "learning_rate": 0.0009194444444444444, | |
| "loss": 0.3793, | |
| "step": 4410 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "grad_norm": 4.430356979370117, | |
| "learning_rate": 0.0009101851851851851, | |
| "loss": 0.3657, | |
| "step": 4420 | |
| }, | |
| { | |
| "epoch": 8.2, | |
| "grad_norm": 3.2201452255249023, | |
| "learning_rate": 0.000900925925925926, | |
| "loss": 0.4235, | |
| "step": 4430 | |
| }, | |
| { | |
| "epoch": 8.21, | |
| "grad_norm": 1.5028598308563232, | |
| "learning_rate": 0.0008916666666666667, | |
| "loss": 0.4478, | |
| "step": 4440 | |
| }, | |
| { | |
| "epoch": 8.23, | |
| "grad_norm": 1.374112844467163, | |
| "learning_rate": 0.0008824074074074075, | |
| "loss": 0.4129, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "grad_norm": 1.8899506330490112, | |
| "learning_rate": 0.0008731481481481482, | |
| "loss": 0.3859, | |
| "step": 4460 | |
| }, | |
| { | |
| "epoch": 8.27, | |
| "grad_norm": 2.019902229309082, | |
| "learning_rate": 0.0008638888888888889, | |
| "loss": 0.4101, | |
| "step": 4470 | |
| }, | |
| { | |
| "epoch": 8.29, | |
| "grad_norm": 1.705667495727539, | |
| "learning_rate": 0.0008546296296296297, | |
| "loss": 0.3493, | |
| "step": 4480 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "grad_norm": 2.031428098678589, | |
| "learning_rate": 0.0008453703703703704, | |
| "loss": 0.4074, | |
| "step": 4490 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "grad_norm": 2.7189221382141113, | |
| "learning_rate": 0.0008361111111111111, | |
| "loss": 0.3786, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 8.34, | |
| "grad_norm": 2.454854726791382, | |
| "learning_rate": 0.0008268518518518518, | |
| "loss": 0.4436, | |
| "step": 4510 | |
| }, | |
| { | |
| "epoch": 8.36, | |
| "grad_norm": 1.298943281173706, | |
| "learning_rate": 0.0008175925925925925, | |
| "loss": 0.4313, | |
| "step": 4520 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "grad_norm": 2.463287591934204, | |
| "learning_rate": 0.0008083333333333333, | |
| "loss": 0.4414, | |
| "step": 4530 | |
| }, | |
| { | |
| "epoch": 8.4, | |
| "grad_norm": 2.80354642868042, | |
| "learning_rate": 0.0007990740740740741, | |
| "loss": 0.4188, | |
| "step": 4540 | |
| }, | |
| { | |
| "epoch": 8.42, | |
| "grad_norm": 3.166337251663208, | |
| "learning_rate": 0.0007898148148148149, | |
| "loss": 0.4059, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "grad_norm": 1.655117392539978, | |
| "learning_rate": 0.0007805555555555556, | |
| "loss": 0.3877, | |
| "step": 4560 | |
| }, | |
| { | |
| "epoch": 8.46, | |
| "grad_norm": 2.249906539916992, | |
| "learning_rate": 0.0007712962962962963, | |
| "loss": 0.355, | |
| "step": 4570 | |
| }, | |
| { | |
| "epoch": 8.47, | |
| "grad_norm": 1.6171294450759888, | |
| "learning_rate": 0.0007620370370370371, | |
| "loss": 0.3233, | |
| "step": 4580 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "grad_norm": 2.709031581878662, | |
| "learning_rate": 0.0007527777777777778, | |
| "loss": 0.3407, | |
| "step": 4590 | |
| }, | |
| { | |
| "epoch": 8.51, | |
| "grad_norm": 2.6156270503997803, | |
| "learning_rate": 0.0007435185185185185, | |
| "loss": 0.3779, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 8.53, | |
| "grad_norm": 1.640161156654358, | |
| "learning_rate": 0.0007342592592592593, | |
| "loss": 0.3557, | |
| "step": 4610 | |
| }, | |
| { | |
| "epoch": 8.55, | |
| "grad_norm": 1.8425498008728027, | |
| "learning_rate": 0.000725, | |
| "loss": 0.3987, | |
| "step": 4620 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "grad_norm": 2.946497917175293, | |
| "learning_rate": 0.0007157407407407406, | |
| "loss": 0.4044, | |
| "step": 4630 | |
| }, | |
| { | |
| "epoch": 8.58, | |
| "grad_norm": 2.3729591369628906, | |
| "learning_rate": 0.0007064814814814815, | |
| "loss": 0.358, | |
| "step": 4640 | |
| }, | |
| { | |
| "epoch": 8.6, | |
| "grad_norm": 1.634698510169983, | |
| "learning_rate": 0.0006972222222222222, | |
| "loss": 0.3837, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 8.62, | |
| "grad_norm": 2.881890296936035, | |
| "learning_rate": 0.000687962962962963, | |
| "loss": 0.3643, | |
| "step": 4660 | |
| }, | |
| { | |
| "epoch": 8.64, | |
| "grad_norm": 1.3335785865783691, | |
| "learning_rate": 0.0006787037037037037, | |
| "loss": 0.3887, | |
| "step": 4670 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "grad_norm": 2.1087048053741455, | |
| "learning_rate": 0.0006694444444444445, | |
| "loss": 0.3354, | |
| "step": 4680 | |
| }, | |
| { | |
| "epoch": 8.68, | |
| "grad_norm": 3.421175956726074, | |
| "learning_rate": 0.0006601851851851852, | |
| "loss": 0.4143, | |
| "step": 4690 | |
| }, | |
| { | |
| "epoch": 8.7, | |
| "grad_norm": 1.5602165460586548, | |
| "learning_rate": 0.0006509259259259259, | |
| "loss": 0.3928, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 8.71, | |
| "grad_norm": 3.690290689468384, | |
| "learning_rate": 0.0006416666666666667, | |
| "loss": 0.3157, | |
| "step": 4710 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "grad_norm": 2.0590598583221436, | |
| "learning_rate": 0.0006324074074074074, | |
| "loss": 0.3986, | |
| "step": 4720 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "grad_norm": 1.1233676671981812, | |
| "learning_rate": 0.0006231481481481482, | |
| "loss": 0.3456, | |
| "step": 4730 | |
| }, | |
| { | |
| "epoch": 8.77, | |
| "grad_norm": 1.8680920600891113, | |
| "learning_rate": 0.0006138888888888889, | |
| "loss": 0.4048, | |
| "step": 4740 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "grad_norm": 1.1571403741836548, | |
| "learning_rate": 0.0006046296296296297, | |
| "loss": 0.3535, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 8.81, | |
| "grad_norm": 1.505861520767212, | |
| "learning_rate": 0.0005953703703703703, | |
| "loss": 0.3203, | |
| "step": 4760 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "grad_norm": 1.7797300815582275, | |
| "learning_rate": 0.0005861111111111111, | |
| "loss": 0.3308, | |
| "step": 4770 | |
| }, | |
| { | |
| "epoch": 8.84, | |
| "grad_norm": 1.0974406003952026, | |
| "learning_rate": 0.0005768518518518518, | |
| "loss": 0.3759, | |
| "step": 4780 | |
| }, | |
| { | |
| "epoch": 8.86, | |
| "grad_norm": 1.5202006101608276, | |
| "learning_rate": 0.0005675925925925926, | |
| "loss": 0.3725, | |
| "step": 4790 | |
| }, | |
| { | |
| "epoch": 8.88, | |
| "grad_norm": 1.2904443740844727, | |
| "learning_rate": 0.0005583333333333333, | |
| "loss": 0.3535, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 8.9, | |
| "grad_norm": 1.4673963785171509, | |
| "learning_rate": 0.0005490740740740741, | |
| "loss": 0.3937, | |
| "step": 4810 | |
| }, | |
| { | |
| "epoch": 8.92, | |
| "grad_norm": 1.0130095481872559, | |
| "learning_rate": 0.0005398148148148149, | |
| "loss": 0.3306, | |
| "step": 4820 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "grad_norm": 1.4989911317825317, | |
| "learning_rate": 0.0005305555555555556, | |
| "loss": 0.4111, | |
| "step": 4830 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "grad_norm": 1.36995267868042, | |
| "learning_rate": 0.0005212962962962963, | |
| "loss": 0.3791, | |
| "step": 4840 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "grad_norm": 2.134408950805664, | |
| "learning_rate": 0.0005120370370370371, | |
| "loss": 0.3691, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "grad_norm": 2.304680347442627, | |
| "learning_rate": 0.0005027777777777778, | |
| "loss": 0.3409, | |
| "step": 4860 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9878293021106147, | |
| "eval_f1": 0.9886590982069928, | |
| "eval_loss": 0.03709910064935684, | |
| "eval_precision": 0.989964784159849, | |
| "eval_recall": 0.9876911349748236, | |
| "eval_runtime": 105.3983, | |
| "eval_samples_per_second": 61.585, | |
| "eval_steps_per_second": 3.852, | |
| "step": 4864 | |
| }, | |
| { | |
| "epoch": 9.01, | |
| "grad_norm": 1.6748008728027344, | |
| "learning_rate": 0.0004935185185185186, | |
| "loss": 0.3296, | |
| "step": 4870 | |
| }, | |
| { | |
| "epoch": 9.03, | |
| "grad_norm": 0.8384755849838257, | |
| "learning_rate": 0.0004842592592592593, | |
| "loss": 0.3316, | |
| "step": 4880 | |
| }, | |
| { | |
| "epoch": 9.05, | |
| "grad_norm": 2.137038230895996, | |
| "learning_rate": 0.000475, | |
| "loss": 0.3698, | |
| "step": 4890 | |
| }, | |
| { | |
| "epoch": 9.07, | |
| "grad_norm": 1.4509310722351074, | |
| "learning_rate": 0.00046574074074074074, | |
| "loss": 0.3456, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 9.08, | |
| "grad_norm": 2.2383487224578857, | |
| "learning_rate": 0.0004564814814814815, | |
| "loss": 0.3705, | |
| "step": 4910 | |
| }, | |
| { | |
| "epoch": 9.1, | |
| "grad_norm": 1.851224660873413, | |
| "learning_rate": 0.00044722222222222217, | |
| "loss": 0.3645, | |
| "step": 4920 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "grad_norm": 1.9950298070907593, | |
| "learning_rate": 0.00043796296296296297, | |
| "loss": 0.3502, | |
| "step": 4930 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "grad_norm": 2.0750277042388916, | |
| "learning_rate": 0.0004287037037037037, | |
| "loss": 0.2884, | |
| "step": 4940 | |
| }, | |
| { | |
| "epoch": 9.16, | |
| "grad_norm": 2.44145131111145, | |
| "learning_rate": 0.00041944444444444445, | |
| "loss": 0.3615, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 9.18, | |
| "grad_norm": 1.4347975254058838, | |
| "learning_rate": 0.0004101851851851852, | |
| "loss": 0.3275, | |
| "step": 4960 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "grad_norm": 1.7355468273162842, | |
| "learning_rate": 0.0004009259259259259, | |
| "loss": 0.3158, | |
| "step": 4970 | |
| }, | |
| { | |
| "epoch": 9.21, | |
| "grad_norm": 1.5040051937103271, | |
| "learning_rate": 0.0003916666666666667, | |
| "loss": 0.3265, | |
| "step": 4980 | |
| }, | |
| { | |
| "epoch": 9.23, | |
| "grad_norm": 2.3825201988220215, | |
| "learning_rate": 0.0003824074074074074, | |
| "loss": 0.3635, | |
| "step": 4990 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "grad_norm": 1.7622706890106201, | |
| "learning_rate": 0.00037314814814814817, | |
| "loss": 0.3064, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 9.27, | |
| "grad_norm": 1.3905962705612183, | |
| "learning_rate": 0.00036388888888888886, | |
| "loss": 0.3192, | |
| "step": 5010 | |
| }, | |
| { | |
| "epoch": 9.29, | |
| "grad_norm": 1.1275396347045898, | |
| "learning_rate": 0.0003546296296296296, | |
| "loss": 0.3793, | |
| "step": 5020 | |
| }, | |
| { | |
| "epoch": 9.31, | |
| "grad_norm": 1.043797254562378, | |
| "learning_rate": 0.0003453703703703704, | |
| "loss": 0.3532, | |
| "step": 5030 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "grad_norm": 2.222782611846924, | |
| "learning_rate": 0.00033611111111111114, | |
| "loss": 0.3444, | |
| "step": 5040 | |
| }, | |
| { | |
| "epoch": 9.34, | |
| "grad_norm": 1.1857503652572632, | |
| "learning_rate": 0.0003268518518518519, | |
| "loss": 0.2676, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 9.36, | |
| "grad_norm": 1.542576789855957, | |
| "learning_rate": 0.00031759259259259257, | |
| "loss": 0.3942, | |
| "step": 5060 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "grad_norm": 1.9008642435073853, | |
| "learning_rate": 0.00030833333333333337, | |
| "loss": 0.3854, | |
| "step": 5070 | |
| }, | |
| { | |
| "epoch": 9.4, | |
| "grad_norm": 1.819470763206482, | |
| "learning_rate": 0.00029907407407407405, | |
| "loss": 0.3426, | |
| "step": 5080 | |
| }, | |
| { | |
| "epoch": 9.42, | |
| "grad_norm": 1.4119468927383423, | |
| "learning_rate": 0.00028981481481481485, | |
| "loss": 0.3093, | |
| "step": 5090 | |
| }, | |
| { | |
| "epoch": 9.44, | |
| "grad_norm": 2.1372573375701904, | |
| "learning_rate": 0.00028055555555555554, | |
| "loss": 0.3178, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 9.45, | |
| "grad_norm": 1.6984546184539795, | |
| "learning_rate": 0.0002712962962962963, | |
| "loss": 0.3057, | |
| "step": 5110 | |
| }, | |
| { | |
| "epoch": 9.47, | |
| "grad_norm": 1.6501168012619019, | |
| "learning_rate": 0.0002620370370370371, | |
| "loss": 0.3501, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 9.49, | |
| "grad_norm": 1.3018875122070312, | |
| "learning_rate": 0.00025277777777777777, | |
| "loss": 0.3547, | |
| "step": 5130 | |
| }, | |
| { | |
| "epoch": 9.51, | |
| "grad_norm": 1.2195825576782227, | |
| "learning_rate": 0.0002435185185185185, | |
| "loss": 0.3597, | |
| "step": 5140 | |
| }, | |
| { | |
| "epoch": 9.53, | |
| "grad_norm": 1.5462696552276611, | |
| "learning_rate": 0.00023425925925925928, | |
| "loss": 0.378, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "grad_norm": 1.2776215076446533, | |
| "learning_rate": 0.000225, | |
| "loss": 0.2943, | |
| "step": 5160 | |
| }, | |
| { | |
| "epoch": 9.57, | |
| "grad_norm": 1.9827752113342285, | |
| "learning_rate": 0.00021574074074074076, | |
| "loss": 0.3208, | |
| "step": 5170 | |
| }, | |
| { | |
| "epoch": 9.58, | |
| "grad_norm": 0.7241113185882568, | |
| "learning_rate": 0.00020648148148148148, | |
| "loss": 0.3298, | |
| "step": 5180 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "grad_norm": 1.118054986000061, | |
| "learning_rate": 0.00019722222222222222, | |
| "loss": 0.3145, | |
| "step": 5190 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "grad_norm": 1.2864770889282227, | |
| "learning_rate": 0.00018796296296296296, | |
| "loss": 0.3694, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 9.64, | |
| "grad_norm": 2.4528350830078125, | |
| "learning_rate": 0.0001787037037037037, | |
| "loss": 0.36, | |
| "step": 5210 | |
| }, | |
| { | |
| "epoch": 9.66, | |
| "grad_norm": 1.4478658437728882, | |
| "learning_rate": 0.00016944444444444448, | |
| "loss": 0.3421, | |
| "step": 5220 | |
| }, | |
| { | |
| "epoch": 9.68, | |
| "grad_norm": 1.7859172821044922, | |
| "learning_rate": 0.0001601851851851852, | |
| "loss": 0.3438, | |
| "step": 5230 | |
| }, | |
| { | |
| "epoch": 9.69, | |
| "grad_norm": 1.2724491357803345, | |
| "learning_rate": 0.00015092592592592593, | |
| "loss": 0.3298, | |
| "step": 5240 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "grad_norm": 1.7209391593933105, | |
| "learning_rate": 0.00014166666666666665, | |
| "loss": 0.3227, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "grad_norm": 1.1616936922073364, | |
| "learning_rate": 0.00013240740740740742, | |
| "loss": 0.2874, | |
| "step": 5260 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "grad_norm": 1.5946358442306519, | |
| "learning_rate": 0.00012314814814814816, | |
| "loss": 0.3292, | |
| "step": 5270 | |
| }, | |
| { | |
| "epoch": 9.77, | |
| "grad_norm": 1.7766077518463135, | |
| "learning_rate": 0.00011388888888888889, | |
| "loss": 0.3105, | |
| "step": 5280 | |
| }, | |
| { | |
| "epoch": 9.79, | |
| "grad_norm": 1.2184169292449951, | |
| "learning_rate": 0.00010462962962962962, | |
| "loss": 0.3077, | |
| "step": 5290 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "grad_norm": 1.8188039064407349, | |
| "learning_rate": 9.537037037037036e-05, | |
| "loss": 0.3829, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 9.82, | |
| "grad_norm": 1.7841200828552246, | |
| "learning_rate": 8.611111111111112e-05, | |
| "loss": 0.4086, | |
| "step": 5310 | |
| }, | |
| { | |
| "epoch": 9.84, | |
| "grad_norm": 2.1823301315307617, | |
| "learning_rate": 7.685185185185186e-05, | |
| "loss": 0.3443, | |
| "step": 5320 | |
| }, | |
| { | |
| "epoch": 9.86, | |
| "grad_norm": 0.7260684370994568, | |
| "learning_rate": 6.759259259259259e-05, | |
| "loss": 0.2493, | |
| "step": 5330 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "grad_norm": 1.395943522453308, | |
| "learning_rate": 5.833333333333334e-05, | |
| "loss": 0.3521, | |
| "step": 5340 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "grad_norm": 1.731939435005188, | |
| "learning_rate": 4.9074074074074075e-05, | |
| "loss": 0.3337, | |
| "step": 5350 | |
| }, | |
| { | |
| "epoch": 9.92, | |
| "grad_norm": 1.1158477067947388, | |
| "learning_rate": 3.981481481481482e-05, | |
| "loss": 0.2676, | |
| "step": 5360 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "grad_norm": 1.2401944398880005, | |
| "learning_rate": 3.055555555555556e-05, | |
| "loss": 0.3386, | |
| "step": 5370 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "grad_norm": 1.0820297002792358, | |
| "learning_rate": 2.12962962962963e-05, | |
| "loss": 0.2561, | |
| "step": 5380 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "grad_norm": 1.5358567237854004, | |
| "learning_rate": 1.2037037037037039e-05, | |
| "loss": 0.2979, | |
| "step": 5390 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "grad_norm": 1.8409550189971924, | |
| "learning_rate": 2.777777777777778e-06, | |
| "loss": 0.3111, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "eval_accuracy": 0.9845940533045756, | |
| "eval_f1": 0.9874036641651607, | |
| "eval_loss": 0.04327414557337761, | |
| "eval_precision": 0.9887972691294948, | |
| "eval_recall": 0.9864475392019028, | |
| "eval_runtime": 105.3994, | |
| "eval_samples_per_second": 61.585, | |
| "eval_steps_per_second": 3.852, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "step": 5400, | |
| "total_flos": 6.121843696765878e+19, | |
| "train_loss": 0.5330523451169332, | |
| "train_runtime": 12454.7917, | |
| "train_samples_per_second": 27.765, | |
| "train_steps_per_second": 0.434 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 5400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 6.121843696765878e+19, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |