{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 3.0, "eval_steps": 13, "global_step": 66, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.045454545454545456, "grad_norm": 0.26570865511894226, "learning_rate": 0.0, "loss": 1.0991, "step": 1 }, { "epoch": 0.09090909090909091, "grad_norm": 0.19788296520709991, "learning_rate": 0.0001, "loss": 1.1858, "step": 2 }, { "epoch": 0.13636363636363635, "grad_norm": 0.2018503099679947, "learning_rate": 0.0002, "loss": 1.4282, "step": 3 }, { "epoch": 0.18181818181818182, "grad_norm": 0.14019116759300232, "learning_rate": 0.00019989159105846555, "loss": 1.0461, "step": 4 }, { "epoch": 0.22727272727272727, "grad_norm": 0.0761001780629158, "learning_rate": 0.00019956662540049773, "loss": 1.1584, "step": 5 }, { "epoch": 0.2727272727272727, "grad_norm": 0.06310273706912994, "learning_rate": 0.0001990258858968303, "loss": 1.2249, "step": 6 }, { "epoch": 0.3181818181818182, "grad_norm": 0.07300414144992828, "learning_rate": 0.00019827067523629075, "loss": 0.8899, "step": 7 }, { "epoch": 0.36363636363636365, "grad_norm": 0.06310679018497467, "learning_rate": 0.00019730281278750898, "loss": 1.1826, "step": 8 }, { "epoch": 0.4090909090909091, "grad_norm": 0.06386806070804596, "learning_rate": 0.0001961246302158988, "loss": 1.1252, "step": 9 }, { "epoch": 0.45454545454545453, "grad_norm": 0.06900643557310104, "learning_rate": 0.00019473896586647186, "loss": 1.0732, "step": 10 }, { "epoch": 0.5, "grad_norm": 0.05214522033929825, "learning_rate": 0.00019314915792601581, "loss": 1.1494, "step": 11 }, { "epoch": 0.5454545454545454, "grad_norm": 0.035811204463243484, "learning_rate": 0.00019135903638110993, "loss": 0.7997, "step": 12 }, { "epoch": 0.5909090909090909, "grad_norm": 0.044281817972660065, "learning_rate": 0.00018937291379135196, "loss": 1.1821, "step": 13 }, { "epoch": 0.6363636363636364, "grad_norm": 0.04433455318212509, "learning_rate": 0.0001871955749000245, "loss": 1.1196, "step": 14 }, { "epoch": 0.6363636363636364, "eval_loss": 1.0, "eval_runtime": 1.6972, "eval_samples_per_second": 0.589, "eval_steps_per_second": 0.589, "step": 14 }, { "epoch": 0.6818181818181818, "grad_norm": 0.04366498067975044, "learning_rate": 0.0001848322651072291, "loss": 1.1431, "step": 15 }, { "epoch": 0.7272727272727273, "grad_norm": 0.04259055480360985, "learning_rate": 0.00018228867783325804, "loss": 1.2317, "step": 16 }, { "epoch": 0.7727272727272727, "grad_norm": 0.03771774098277092, "learning_rate": 0.00017957094080264634, "loss": 1.1204, "step": 17 }, { "epoch": 0.8181818181818182, "grad_norm": 0.03440351411700249, "learning_rate": 0.00017668560128194635, "loss": 0.9883, "step": 18 }, { "epoch": 0.8636363636363636, "grad_norm": 0.03425208106637001, "learning_rate": 0.00017363961030678927, "loss": 1.0967, "step": 19 }, { "epoch": 0.9090909090909091, "grad_norm": 0.02954299934208393, "learning_rate": 0.00017044030593623167, "loss": 0.6606, "step": 20 }, { "epoch": 0.9545454545454546, "grad_norm": 0.3488457202911377, "learning_rate": 0.0001670953955747281, "loss": 0.9198, "step": 21 }, { "epoch": 1.0, "grad_norm": 0.032931141555309296, "learning_rate": 0.00016361293740431904, "loss": 0.9204, "step": 22 }, { "epoch": 1.0454545454545454, "grad_norm": 0.03185806795954704, "learning_rate": 0.00016000132097176422, "loss": 0.7996, "step": 23 }, { "epoch": 1.0909090909090908, "grad_norm": 0.03138045594096184, "learning_rate": 0.00015626924697738993, "loss": 0.927, "step": 24 }, { "epoch": 1.1363636363636362, "grad_norm": 0.03675857186317444, "learning_rate": 0.0001524257063143398, "loss": 1.1428, "step": 25 }, { "epoch": 1.1818181818181819, "grad_norm": 0.027697354555130005, "learning_rate": 0.0001484799584087254, "loss": 0.8362, "step": 26 }, { "epoch": 1.2272727272727273, "grad_norm": 0.028406554833054543, "learning_rate": 0.00014444150891285807, "loss": 0.9871, "step": 27 }, { "epoch": 1.2272727272727273, "eval_loss": 0.9453125, "eval_runtime": 1.699, "eval_samples_per_second": 0.589, "eval_steps_per_second": 0.589, "step": 27 }, { "epoch": 1.2727272727272727, "grad_norm": 0.026174945756793022, "learning_rate": 0.0001403200868052998, "loss": 1.0741, "step": 28 }, { "epoch": 1.3181818181818181, "grad_norm": 0.030307767912745476, "learning_rate": 0.0001361256209529016, "loss": 0.7305, "step": 29 }, { "epoch": 1.3636363636363638, "grad_norm": 0.028039664030075073, "learning_rate": 0.00013186821619129378, "loss": 1.0569, "step": 30 }, { "epoch": 1.4090909090909092, "grad_norm": 0.02829521894454956, "learning_rate": 0.00012755812898145155, "loss": 1.0015, "step": 31 }, { "epoch": 1.4545454545454546, "grad_norm": 0.02784855291247368, "learning_rate": 0.00012320574270098254, "loss": 0.9619, "step": 32 }, { "epoch": 1.5, "grad_norm": 0.024387067183852196, "learning_rate": 0.0001188215426296605, "loss": 1.0562, "step": 33 }, { "epoch": 1.5454545454545454, "grad_norm": 0.0228856410831213, "learning_rate": 0.00011441609068946764, "loss": 0.731, "step": 34 }, { "epoch": 1.5909090909090908, "grad_norm": 0.024063974618911743, "learning_rate": 0.00011000000000000002, "loss": 1.1125, "step": 35 }, { "epoch": 1.6363636363636362, "grad_norm": 0.026135141029953957, "learning_rate": 0.0001055839093105324, "loss": 1.0291, "step": 36 }, { "epoch": 1.6818181818181817, "grad_norm": 0.02611403912305832, "learning_rate": 0.00010117845737033956, "loss": 1.0682, "step": 37 }, { "epoch": 1.7272727272727273, "grad_norm": 0.025955649092793465, "learning_rate": 9.679425729901746e-05, "loss": 1.1604, "step": 38 }, { "epoch": 1.7727272727272727, "grad_norm": 0.024920133873820305, "learning_rate": 9.244187101854847e-05, "loss": 1.0432, "step": 39 }, { "epoch": 1.8181818181818183, "grad_norm": 0.023373816162347794, "learning_rate": 8.813178380870625e-05, "loss": 0.921, "step": 40 }, { "epoch": 1.8181818181818183, "eval_loss": 0.921875, "eval_runtime": 1.7126, "eval_samples_per_second": 0.584, "eval_steps_per_second": 0.584, "step": 40 }, { "epoch": 1.8636363636363638, "grad_norm": 0.025230776518583298, "learning_rate": 8.38743790470984e-05, "loss": 1.0305, "step": 41 }, { "epoch": 1.9090909090909092, "grad_norm": 0.02200430817902088, "learning_rate": 7.96799131947002e-05, "loss": 0.5916, "step": 42 }, { "epoch": 1.9545454545454546, "grad_norm": 0.021784311160445213, "learning_rate": 7.555849108714192e-05, "loss": 0.8511, "step": 43 }, { "epoch": 2.0, "grad_norm": 0.022025559097528458, "learning_rate": 7.152004159127463e-05, "loss": 0.8629, "step": 44 }, { "epoch": 2.0454545454545454, "grad_norm": 0.0236300490796566, "learning_rate": 6.757429368566022e-05, "loss": 0.7417, "step": 45 }, { "epoch": 2.090909090909091, "grad_norm": 0.024307960644364357, "learning_rate": 6.373075302261006e-05, "loss": 0.8741, "step": 46 }, { "epoch": 2.1363636363636362, "grad_norm": 0.02563675306737423, "learning_rate": 5.9998679028235824e-05, "loss": 1.0909, "step": 47 }, { "epoch": 2.1818181818181817, "grad_norm": 0.023581454530358315, "learning_rate": 5.6387062595681006e-05, "loss": 0.785, "step": 48 }, { "epoch": 2.227272727272727, "grad_norm": 0.0233762226998806, "learning_rate": 5.290460442527192e-05, "loss": 0.9403, "step": 49 }, { "epoch": 2.2727272727272725, "grad_norm": 0.023589802905917168, "learning_rate": 4.955969406376835e-05, "loss": 1.0319, "step": 50 }, { "epoch": 2.3181818181818183, "grad_norm": 0.023750334978103638, "learning_rate": 4.6360389693210735e-05, "loss": 0.6851, "step": 51 }, { "epoch": 2.3636363636363638, "grad_norm": 0.022339332848787308, "learning_rate": 4.33143987180537e-05, "loss": 1.0183, "step": 52 }, { "epoch": 2.409090909090909, "grad_norm": 0.02258870005607605, "learning_rate": 4.042905919735367e-05, "loss": 0.9631, "step": 53 }, { "epoch": 2.409090909090909, "eval_loss": 0.91015625, "eval_runtime": 1.7022, "eval_samples_per_second": 0.587, "eval_steps_per_second": 0.587, "step": 53 }, { "epoch": 2.4545454545454546, "grad_norm": 0.025404134765267372, "learning_rate": 3.771132216674197e-05, "loss": 0.9232, "step": 54 }, { "epoch": 2.5, "grad_norm": 0.021336553618311882, "learning_rate": 3.516773489277092e-05, "loss": 1.0229, "step": 55 }, { "epoch": 2.5454545454545454, "grad_norm": 0.016827255487442017, "learning_rate": 3.2804425099975525e-05, "loss": 0.707, "step": 56 }, { "epoch": 2.590909090909091, "grad_norm": 0.022356828674674034, "learning_rate": 3.062708620864806e-05, "loss": 1.0881, "step": 57 }, { "epoch": 2.6363636363636362, "grad_norm": 0.023688841611146927, "learning_rate": 2.8640963618890103e-05, "loss": 0.999, "step": 58 }, { "epoch": 2.6818181818181817, "grad_norm": 0.022186871618032455, "learning_rate": 2.6850842073984196e-05, "loss": 1.0435, "step": 59 }, { "epoch": 2.7272727272727275, "grad_norm": 0.023007292300462723, "learning_rate": 2.5261034133528138e-05, "loss": 1.1348, "step": 60 }, { "epoch": 2.7727272727272725, "grad_norm": 0.023376451805233955, "learning_rate": 2.387536978410121e-05, "loss": 1.0161, "step": 61 }, { "epoch": 2.8181818181818183, "grad_norm": 0.02313663810491562, "learning_rate": 2.2697187212491044e-05, "loss": 0.8971, "step": 62 }, { "epoch": 2.8636363636363638, "grad_norm": 0.023053674027323723, "learning_rate": 2.1729324763709264e-05, "loss": 1.0046, "step": 63 }, { "epoch": 2.909090909090909, "grad_norm": 0.021076248958706856, "learning_rate": 2.0974114103169712e-05, "loss": 0.5725, "step": 64 }, { "epoch": 2.9545454545454546, "grad_norm": 0.021139593794941902, "learning_rate": 2.043337459950229e-05, "loss": 0.8326, "step": 65 }, { "epoch": 3.0, "grad_norm": 0.021683219820261, "learning_rate": 2.0108408941534486e-05, "loss": 0.8434, "step": 66 }, { "epoch": 3.0, "eval_loss": 0.90234375, "eval_runtime": 1.6966, "eval_samples_per_second": 0.589, "eval_steps_per_second": 0.589, "step": 66 } ], "logging_steps": 1.0, "max_steps": 66, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 0, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 9.291814797437829e+17, "train_batch_size": 1, "trial_name": null, "trial_params": null }