| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.4696485623003195, | |
| "eval_steps": 39, | |
| "global_step": 117, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 0.06435385346412659, | |
| "learning_rate": 1e-05, | |
| "loss": 0.6574, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_loss": 0.7461566925048828, | |
| "eval_runtime": 151.7973, | |
| "eval_samples_per_second": 1.482, | |
| "eval_steps_per_second": 0.376, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 0.062134526669979095, | |
| "learning_rate": 2e-05, | |
| "loss": 0.6897, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.06962593644857407, | |
| "learning_rate": 3e-05, | |
| "loss": 0.6974, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.0730314701795578, | |
| "learning_rate": 4e-05, | |
| "loss": 0.7454, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.07659862190485, | |
| "learning_rate": 5e-05, | |
| "loss": 0.6962, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.07314729690551758, | |
| "learning_rate": 6e-05, | |
| "loss": 0.6602, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.0892895832657814, | |
| "learning_rate": 7e-05, | |
| "loss": 0.6594, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.11520648747682571, | |
| "learning_rate": 8e-05, | |
| "loss": 0.7406, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 0.1333557516336441, | |
| "learning_rate": 9e-05, | |
| "loss": 0.663, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.14017663896083832, | |
| "learning_rate": 0.0001, | |
| "loss": 0.6185, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.1453818678855896, | |
| "learning_rate": 0.00011000000000000002, | |
| "loss": 0.602, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.14279265701770782, | |
| "learning_rate": 0.00012, | |
| "loss": 0.6151, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.11934962123632431, | |
| "learning_rate": 0.00013000000000000002, | |
| "loss": 0.5085, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.11375121772289276, | |
| "learning_rate": 0.00014, | |
| "loss": 0.4823, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.09707039594650269, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.4281, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.11333765089511871, | |
| "learning_rate": 0.00016, | |
| "loss": 0.4417, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.09926053136587143, | |
| "learning_rate": 0.00017, | |
| "loss": 0.3654, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 0.1027929037809372, | |
| "learning_rate": 0.00018, | |
| "loss": 0.3748, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 0.09768980741500854, | |
| "learning_rate": 0.00019, | |
| "loss": 0.3306, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 0.08072198927402496, | |
| "learning_rate": 0.0002, | |
| "loss": 0.355, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 0.06444709748029709, | |
| "learning_rate": 0.00019997332081116373, | |
| "loss": 0.3152, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.0576409213244915, | |
| "learning_rate": 0.00019989329748023725, | |
| "loss": 0.2674, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 0.08624427020549774, | |
| "learning_rate": 0.0001997599727063717, | |
| "loss": 0.2807, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 0.08828990906476974, | |
| "learning_rate": 0.00019957341762950344, | |
| "loss": 0.2736, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.0641990676522255, | |
| "learning_rate": 0.00019933373179239502, | |
| "loss": 0.2427, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 0.05487390235066414, | |
| "learning_rate": 0.0001990410430875205, | |
| "loss": 0.2737, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 0.0666637197136879, | |
| "learning_rate": 0.00019869550768882455, | |
| "loss": 0.2806, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 0.053027719259262085, | |
| "learning_rate": 0.0001982973099683902, | |
| "loss": 0.2664, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 0.055217448621988297, | |
| "learning_rate": 0.0001978466623980609, | |
| "loss": 0.309, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 0.05493360385298729, | |
| "learning_rate": 0.0001973438054360693, | |
| "loss": 0.2318, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 0.0376153439283371, | |
| "learning_rate": 0.00019678900739873226, | |
| "loss": 0.2049, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 0.03811287507414818, | |
| "learning_rate": 0.00019618256431728194, | |
| "loss": 0.2771, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 0.04185184836387634, | |
| "learning_rate": 0.000195524799779908, | |
| "loss": 0.1843, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 0.04743755981326103, | |
| "learning_rate": 0.0001948160647590966, | |
| "loss": 0.2414, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 0.03343382850289345, | |
| "learning_rate": 0.00019405673742435678, | |
| "loss": 0.2007, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 0.03178093209862709, | |
| "learning_rate": 0.00019324722294043558, | |
| "loss": 0.1898, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 0.03482227399945259, | |
| "learning_rate": 0.0001923879532511287, | |
| "loss": 0.2657, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 0.03727172687649727, | |
| "learning_rate": 0.0001914793868488021, | |
| "loss": 0.2185, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 0.0382206104695797, | |
| "learning_rate": 0.00019052200852974819, | |
| "loss": 0.1778, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_loss": 0.2122737020254135, | |
| "eval_runtime": 154.5774, | |
| "eval_samples_per_second": 1.456, | |
| "eval_steps_per_second": 0.369, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 0.03256627917289734, | |
| "learning_rate": 0.00018951632913550626, | |
| "loss": 0.2528, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 0.032382771372795105, | |
| "learning_rate": 0.00018846288528028555, | |
| "loss": 0.2165, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 0.030948858708143234, | |
| "learning_rate": 0.00018736223906463696, | |
| "loss": 0.1754, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 0.041598908603191376, | |
| "learning_rate": 0.00018621497777552507, | |
| "loss": 0.2676, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 0.03000044636428356, | |
| "learning_rate": 0.00018502171357296144, | |
| "loss": 0.1501, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 0.03305242955684662, | |
| "learning_rate": 0.00018378308316336584, | |
| "loss": 0.1937, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 0.02798221819102764, | |
| "learning_rate": 0.00018249974745983023, | |
| "loss": 0.2241, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 0.03340066224336624, | |
| "learning_rate": 0.00018117239122946615, | |
| "loss": 0.2078, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 0.032081808894872665, | |
| "learning_rate": 0.000179801722728024, | |
| "loss": 0.2061, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.033740073442459106, | |
| "learning_rate": 0.00017838847332197938, | |
| "loss": 0.2411, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 0.02972455322742462, | |
| "learning_rate": 0.00017693339709828792, | |
| "loss": 0.2346, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 0.03134370595216751, | |
| "learning_rate": 0.0001754372704620164, | |
| "loss": 0.2573, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 0.035204820334911346, | |
| "learning_rate": 0.00017390089172206592, | |
| "loss": 0.2596, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 0.027202850207686424, | |
| "learning_rate": 0.00017232508066520702, | |
| "loss": 0.1738, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 0.02930806204676628, | |
| "learning_rate": 0.00017071067811865476, | |
| "loss": 0.2178, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 0.03558573126792908, | |
| "learning_rate": 0.00016905854550141716, | |
| "loss": 0.2677, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 0.03179259970784187, | |
| "learning_rate": 0.00016736956436465573, | |
| "loss": 0.1704, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 0.0318523608148098, | |
| "learning_rate": 0.00016564463592130428, | |
| "loss": 0.2117, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 0.034657321870326996, | |
| "learning_rate": 0.00016388468056519612, | |
| "loss": 0.206, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 0.032808613032102585, | |
| "learning_rate": 0.00016209063737995715, | |
| "loss": 0.2235, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 0.029593750834465027, | |
| "learning_rate": 0.00016026346363792567, | |
| "loss": 0.1976, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 0.033486686646938324, | |
| "learning_rate": 0.00015840413428936767, | |
| "loss": 0.184, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 0.029341375455260277, | |
| "learning_rate": 0.0001565136414422592, | |
| "loss": 0.2114, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 0.03653452917933464, | |
| "learning_rate": 0.00015459299383291345, | |
| "loss": 0.2183, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 0.03146987408399582, | |
| "learning_rate": 0.0001526432162877356, | |
| "loss": 0.2444, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 0.03224271163344383, | |
| "learning_rate": 0.00015066534917639195, | |
| "loss": 0.2157, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 0.028182610869407654, | |
| "learning_rate": 0.00014866044785668563, | |
| "loss": 0.16, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 0.03271663188934326, | |
| "learning_rate": 0.0001466295821114348, | |
| "loss": 0.2102, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 0.032980792224407196, | |
| "learning_rate": 0.00014457383557765386, | |
| "loss": 0.2605, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 0.03456718847155571, | |
| "learning_rate": 0.0001424943051683422, | |
| "loss": 0.212, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 0.036501459777355194, | |
| "learning_rate": 0.00014039210048718949, | |
| "loss": 0.1798, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 0.033730726689100266, | |
| "learning_rate": 0.000138268343236509, | |
| "loss": 0.2018, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 0.03012872487306595, | |
| "learning_rate": 0.00013612416661871533, | |
| "loss": 0.2309, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 0.032879915088415146, | |
| "learning_rate": 0.00013396071473166613, | |
| "loss": 0.1912, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 0.02916533872485161, | |
| "learning_rate": 0.00013177914195819016, | |
| "loss": 0.2313, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 0.032934658229351044, | |
| "learning_rate": 0.00012958061235012706, | |
| "loss": 0.2118, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 0.03474392369389534, | |
| "learning_rate": 0.0001273662990072083, | |
| "loss": 0.1465, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 0.033331647515296936, | |
| "learning_rate": 0.0001251373834511103, | |
| "loss": 0.2207, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.030515702441334724, | |
| "learning_rate": 0.0001228950549950134, | |
| "loss": 0.2121, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.19000689685344696, | |
| "eval_runtime": 153.8331, | |
| "eval_samples_per_second": 1.463, | |
| "eval_steps_per_second": 0.371, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 0.03746604546904564, | |
| "learning_rate": 0.00012064051010900397, | |
| "loss": 0.1755, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 0.032529812306165695, | |
| "learning_rate": 0.00011837495178165706, | |
| "loss": 0.2279, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 0.02698327600955963, | |
| "learning_rate": 0.00011609958887814129, | |
| "loss": 0.1718, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 0.030606260523200035, | |
| "learning_rate": 0.00011381563549518823, | |
| "loss": 0.2253, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 0.03295598179101944, | |
| "learning_rate": 0.00011152431031326978, | |
| "loss": 0.1592, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 0.04062403365969658, | |
| "learning_rate": 0.00010922683594633021, | |
| "loss": 0.2458, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 0.04118546470999718, | |
| "learning_rate": 0.00010692443828941918, | |
| "loss": 0.1938, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 0.03897158056497574, | |
| "learning_rate": 0.00010461834586457398, | |
| "loss": 0.1816, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 0.031059524044394493, | |
| "learning_rate": 0.00010230978916530012, | |
| "loss": 0.2024, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 0.0294091384857893, | |
| "learning_rate": 0.0001, | |
| "loss": 0.199, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 0.03456791117787361, | |
| "learning_rate": 9.76902108346999e-05, | |
| "loss": 0.2616, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 0.03276889771223068, | |
| "learning_rate": 9.538165413542607e-05, | |
| "loss": 0.2115, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 0.03038157895207405, | |
| "learning_rate": 9.307556171058085e-05, | |
| "loss": 0.1721, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 0.02885863371193409, | |
| "learning_rate": 9.077316405366981e-05, | |
| "loss": 0.2199, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 0.03282390534877777, | |
| "learning_rate": 8.847568968673026e-05, | |
| "loss": 0.1885, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 0.03559669107198715, | |
| "learning_rate": 8.61843645048118e-05, | |
| "loss": 0.2253, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 0.027744270861148834, | |
| "learning_rate": 8.39004111218587e-05, | |
| "loss": 0.1825, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.035874996334314346, | |
| "learning_rate": 8.162504821834295e-05, | |
| "loss": 0.1983, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 0.03325138986110687, | |
| "learning_rate": 7.935948989099605e-05, | |
| "loss": 0.1812, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 0.028679154813289642, | |
| "learning_rate": 7.710494500498662e-05, | |
| "loss": 0.1875, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 0.036103084683418274, | |
| "learning_rate": 7.486261654888973e-05, | |
| "loss": 0.2025, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 0.0321945995092392, | |
| "learning_rate": 7.263370099279172e-05, | |
| "loss": 0.2342, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 0.0304876621812582, | |
| "learning_rate": 7.041938764987297e-05, | |
| "loss": 0.1642, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 0.03619467467069626, | |
| "learning_rate": 6.822085804180984e-05, | |
| "loss": 0.187, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 0.03597356379032135, | |
| "learning_rate": 6.603928526833387e-05, | |
| "loss": 0.1343, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 0.036540765315294266, | |
| "learning_rate": 6.387583338128471e-05, | |
| "loss": 0.2062, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 0.03327038511633873, | |
| "learning_rate": 6.173165676349103e-05, | |
| "loss": 0.22, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 0.03374246507883072, | |
| "learning_rate": 5.960789951281052e-05, | |
| "loss": 0.1765, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 0.032783444970846176, | |
| "learning_rate": 5.750569483165784e-05, | |
| "loss": 0.2397, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 0.03667570650577545, | |
| "learning_rate": 5.542616442234618e-05, | |
| "loss": 0.1841, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 0.029467754065990448, | |
| "learning_rate": 5.337041788856518e-05, | |
| "loss": 0.2282, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 0.03702455386519432, | |
| "learning_rate": 5.1339552143314384e-05, | |
| "loss": 0.2601, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 0.033595018088817596, | |
| "learning_rate": 4.933465082360807e-05, | |
| "loss": 0.2077, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 0.03349510580301285, | |
| "learning_rate": 4.735678371226441e-05, | |
| "loss": 0.1686, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 0.03149344027042389, | |
| "learning_rate": 4.540700616708658e-05, | |
| "loss": 0.2075, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 0.035017482936382294, | |
| "learning_rate": 4.3486358557740814e-05, | |
| "loss": 0.1462, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 0.029670318588614464, | |
| "learning_rate": 4.159586571063236e-05, | |
| "loss": 0.1602, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 0.037266362458467484, | |
| "learning_rate": 3.973653636207437e-05, | |
| "loss": 0.1798, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 0.03251258283853531, | |
| "learning_rate": 3.7909362620042865e-05, | |
| "loss": 0.2512, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_loss": 0.18417498469352722, | |
| "eval_runtime": 155.2041, | |
| "eval_samples_per_second": 1.45, | |
| "eval_steps_per_second": 0.367, | |
| "step": 117 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 156, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 39, | |
| "total_flos": 1.5385293522940723e+17, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |