| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.837209302325581, | |
| "eval_steps": 11, | |
| "global_step": 215, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 22.073590049775476, | |
| "learning_rate": 2e-08, | |
| "loss": 1.5029, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_loss": 1.5676738023757935, | |
| "eval_runtime": 1.7229, | |
| "eval_samples_per_second": 11.028, | |
| "eval_steps_per_second": 1.741, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 21.339319978585014, | |
| "learning_rate": 4e-08, | |
| "loss": 1.5411, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 21.89138128266215, | |
| "learning_rate": 6e-08, | |
| "loss": 1.535, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 35.68832946989201, | |
| "learning_rate": 8e-08, | |
| "loss": 1.4248, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 18.922589465764027, | |
| "learning_rate": 1e-07, | |
| "loss": 1.512, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 22.05229837285426, | |
| "learning_rate": 1.2e-07, | |
| "loss": 1.5849, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 29.050954317842017, | |
| "learning_rate": 1.4e-07, | |
| "loss": 1.4915, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 16.415909544756897, | |
| "learning_rate": 1.6e-07, | |
| "loss": 1.4711, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 24.72099068344741, | |
| "learning_rate": 1.8e-07, | |
| "loss": 1.5618, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 15.495802280155232, | |
| "learning_rate": 2e-07, | |
| "loss": 1.5432, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 15.385087340525107, | |
| "learning_rate": 2.1999999999999998e-07, | |
| "loss": 1.5892, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_loss": 1.5673789978027344, | |
| "eval_runtime": 0.7198, | |
| "eval_samples_per_second": 26.396, | |
| "eval_steps_per_second": 4.168, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 18.316263378494824, | |
| "learning_rate": 2.4e-07, | |
| "loss": 1.5068, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 16.604978508847786, | |
| "learning_rate": 2.6e-07, | |
| "loss": 1.5079, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 19.088434906193037, | |
| "learning_rate": 2.8e-07, | |
| "loss": 1.3923, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 13.367337607829006, | |
| "learning_rate": 3e-07, | |
| "loss": 1.4215, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 14.12443554856015, | |
| "learning_rate": 3.2e-07, | |
| "loss": 1.5182, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 21.547074702210885, | |
| "learning_rate": 3.4000000000000003e-07, | |
| "loss": 1.6407, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 19.983618321532845, | |
| "learning_rate": 3.6e-07, | |
| "loss": 1.6124, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 14.12870699420598, | |
| "learning_rate": 3.7999999999999996e-07, | |
| "loss": 1.3535, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 17.73177207632663, | |
| "learning_rate": 4e-07, | |
| "loss": 1.4723, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 24.017411591807985, | |
| "learning_rate": 4.1999999999999995e-07, | |
| "loss": 1.3109, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 15.47289342392699, | |
| "learning_rate": 4.3999999999999997e-07, | |
| "loss": 1.2975, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 1.5646436214447021, | |
| "eval_runtime": 0.7176, | |
| "eval_samples_per_second": 26.478, | |
| "eval_steps_per_second": 4.181, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 21.160644074933437, | |
| "learning_rate": 4.6e-07, | |
| "loss": 1.5044, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 15.065995566576719, | |
| "learning_rate": 4.8e-07, | |
| "loss": 1.4756, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 17.05786606459713, | |
| "learning_rate": 5e-07, | |
| "loss": 1.4934, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 15.821412963269017, | |
| "learning_rate": 5.2e-07, | |
| "loss": 1.6885, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 17.42199498977738, | |
| "learning_rate": 5.4e-07, | |
| "loss": 1.3696, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 17.118541529912182, | |
| "learning_rate": 5.6e-07, | |
| "loss": 1.4963, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 16.14285401779511, | |
| "learning_rate": 5.8e-07, | |
| "loss": 1.523, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 14.413715273595537, | |
| "learning_rate": 6e-07, | |
| "loss": 1.4205, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 15.696143212367938, | |
| "learning_rate": 6.2e-07, | |
| "loss": 1.417, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 18.422902888255102, | |
| "learning_rate": 6.4e-07, | |
| "loss": 1.513, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 15.348458059196757, | |
| "learning_rate": 6.6e-07, | |
| "loss": 1.6405, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_loss": 1.558524489402771, | |
| "eval_runtime": 0.7067, | |
| "eval_samples_per_second": 26.885, | |
| "eval_steps_per_second": 4.245, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 31.510016892264296, | |
| "learning_rate": 6.800000000000001e-07, | |
| "loss": 1.395, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 15.63296379080965, | |
| "learning_rate": 7e-07, | |
| "loss": 1.5409, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 15.627218592491115, | |
| "learning_rate": 7.2e-07, | |
| "loss": 1.3137, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 15.337191607694441, | |
| "learning_rate": 7.4e-07, | |
| "loss": 1.7298, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 16.11020188378557, | |
| "learning_rate": 7.599999999999999e-07, | |
| "loss": 1.403, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 19.261102026351743, | |
| "learning_rate": 7.799999999999999e-07, | |
| "loss": 1.5199, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 15.249059429242267, | |
| "learning_rate": 8e-07, | |
| "loss": 1.5028, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 17.026025037114596, | |
| "learning_rate": 8.199999999999999e-07, | |
| "loss": 1.5746, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 20.241389951964763, | |
| "learning_rate": 8.399999999999999e-07, | |
| "loss": 1.5432, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 13.357942060394901, | |
| "learning_rate": 8.599999999999999e-07, | |
| "loss": 1.3017, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 19.122899956188, | |
| "learning_rate": 8.799999999999999e-07, | |
| "loss": 1.4797, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 1.5534765720367432, | |
| "eval_runtime": 0.7056, | |
| "eval_samples_per_second": 26.926, | |
| "eval_steps_per_second": 4.251, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 12.993274416162807, | |
| "learning_rate": 9e-07, | |
| "loss": 1.3812, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 15.57715477404305, | |
| "learning_rate": 9.2e-07, | |
| "loss": 1.5169, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 15.047562025949741, | |
| "learning_rate": 9.399999999999999e-07, | |
| "loss": 1.597, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 13.154118671073913, | |
| "learning_rate": 9.6e-07, | |
| "loss": 1.4144, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 17.445553030977283, | |
| "learning_rate": 9.8e-07, | |
| "loss": 1.5843, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 11.552943553949452, | |
| "learning_rate": 1e-06, | |
| "loss": 1.3343, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 14.151856403767372, | |
| "learning_rate": 1.02e-06, | |
| "loss": 1.428, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 12.579639490538433, | |
| "learning_rate": 1.04e-06, | |
| "loss": 1.4277, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 13.03970026338736, | |
| "learning_rate": 1.06e-06, | |
| "loss": 1.3097, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 18.55159266953034, | |
| "learning_rate": 1.08e-06, | |
| "loss": 1.4071, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 17.185477508845405, | |
| "learning_rate": 1.1e-06, | |
| "loss": 1.4285, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "eval_loss": 1.5510258674621582, | |
| "eval_runtime": 0.7063, | |
| "eval_samples_per_second": 26.902, | |
| "eval_steps_per_second": 4.248, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 12.433682723330731, | |
| "learning_rate": 1.12e-06, | |
| "loss": 1.4209, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 17.533881821169835, | |
| "learning_rate": 1.1399999999999999e-06, | |
| "loss": 1.1525, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 21.371274746194803, | |
| "learning_rate": 1.16e-06, | |
| "loss": 1.4803, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 12.91252932992948, | |
| "learning_rate": 1.18e-06, | |
| "loss": 1.342, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 15.301368123637772, | |
| "learning_rate": 1.2e-06, | |
| "loss": 1.3903, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 20.669912185962247, | |
| "learning_rate": 1.22e-06, | |
| "loss": 1.3419, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 14.306797274099731, | |
| "learning_rate": 1.24e-06, | |
| "loss": 1.3697, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 14.399414559225576, | |
| "learning_rate": 1.26e-06, | |
| "loss": 1.4607, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 14.679866284169409, | |
| "learning_rate": 1.28e-06, | |
| "loss": 1.4576, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 15.66686870904599, | |
| "learning_rate": 1.3e-06, | |
| "loss": 1.4088, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 15.299128708308798, | |
| "learning_rate": 1.32e-06, | |
| "loss": 1.565, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "eval_loss": 1.5496699810028076, | |
| "eval_runtime": 0.7108, | |
| "eval_samples_per_second": 26.732, | |
| "eval_steps_per_second": 4.221, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 17.72956466975166, | |
| "learning_rate": 1.34e-06, | |
| "loss": 1.5139, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 12.468931115539235, | |
| "learning_rate": 1.3600000000000001e-06, | |
| "loss": 1.4851, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 18.51314016158734, | |
| "learning_rate": 1.38e-06, | |
| "loss": 1.3645, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 14.247910195754642, | |
| "learning_rate": 1.4e-06, | |
| "loss": 1.3199, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 14.996917407863565, | |
| "learning_rate": 1.42e-06, | |
| "loss": 1.5712, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 13.685317610155064, | |
| "learning_rate": 1.44e-06, | |
| "loss": 1.37, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 20.67582737513748, | |
| "learning_rate": 1.46e-06, | |
| "loss": 1.5281, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 24.21873361894607, | |
| "learning_rate": 1.48e-06, | |
| "loss": 1.5432, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 18.530551736423014, | |
| "learning_rate": 1.5e-06, | |
| "loss": 1.5514, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 13.006185380590916, | |
| "learning_rate": 1.5199999999999998e-06, | |
| "loss": 1.3638, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 16.338789878308003, | |
| "learning_rate": 1.5399999999999999e-06, | |
| "loss": 1.2469, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "eval_loss": 1.5485225915908813, | |
| "eval_runtime": 0.7202, | |
| "eval_samples_per_second": 26.383, | |
| "eval_steps_per_second": 4.166, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 12.226940015138254, | |
| "learning_rate": 1.5599999999999999e-06, | |
| "loss": 1.2613, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 16.35044079107655, | |
| "learning_rate": 1.58e-06, | |
| "loss": 1.3039, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 16.425588490991444, | |
| "learning_rate": 1.6e-06, | |
| "loss": 1.5878, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 23.31190960420298, | |
| "learning_rate": 1.62e-06, | |
| "loss": 1.1774, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 12.69134252831033, | |
| "learning_rate": 1.6399999999999998e-06, | |
| "loss": 1.2935, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 14.81387052352272, | |
| "learning_rate": 1.6599999999999998e-06, | |
| "loss": 1.2247, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 12.705757722264147, | |
| "learning_rate": 1.6799999999999998e-06, | |
| "loss": 1.4163, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 15.14994784808861, | |
| "learning_rate": 1.6999999999999998e-06, | |
| "loss": 1.329, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 25.616427443741422, | |
| "learning_rate": 1.7199999999999998e-06, | |
| "loss": 1.3684, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 14.45050387972439, | |
| "learning_rate": 1.7399999999999999e-06, | |
| "loss": 1.4462, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 21.186429067007214, | |
| "learning_rate": 1.7599999999999999e-06, | |
| "loss": 1.6729, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 1.5481523275375366, | |
| "eval_runtime": 0.7439, | |
| "eval_samples_per_second": 25.543, | |
| "eval_steps_per_second": 4.033, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 16.215693014828933, | |
| "learning_rate": 1.78e-06, | |
| "loss": 1.399, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 16.266362330190216, | |
| "learning_rate": 1.8e-06, | |
| "loss": 1.4634, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 11.670525775431027, | |
| "learning_rate": 1.82e-06, | |
| "loss": 1.2869, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 19.036151423939565, | |
| "learning_rate": 1.84e-06, | |
| "loss": 1.4018, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 12.989617529943626, | |
| "learning_rate": 1.86e-06, | |
| "loss": 1.354, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "grad_norm": 13.461044054279371, | |
| "learning_rate": 1.8799999999999998e-06, | |
| "loss": 1.1984, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "grad_norm": 15.14966533026854, | |
| "learning_rate": 1.8999999999999998e-06, | |
| "loss": 1.2233, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 16.64522841989231, | |
| "learning_rate": 1.92e-06, | |
| "loss": 1.2439, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "grad_norm": 15.286892650701205, | |
| "learning_rate": 1.94e-06, | |
| "loss": 1.312, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "grad_norm": 17.83944388305422, | |
| "learning_rate": 1.96e-06, | |
| "loss": 1.4154, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 19.7098985928153, | |
| "learning_rate": 1.98e-06, | |
| "loss": 1.2883, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "eval_loss": 1.5585265159606934, | |
| "eval_runtime": 0.7291, | |
| "eval_samples_per_second": 26.059, | |
| "eval_steps_per_second": 4.115, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 12.323486383746712, | |
| "learning_rate": 2e-06, | |
| "loss": 1.2074, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 12.53366621130023, | |
| "learning_rate": 1.9996268812619105e-06, | |
| "loss": 1.2052, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "grad_norm": 13.525403457800772, | |
| "learning_rate": 1.998507803482828e-06, | |
| "loss": 1.443, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 21.496984225945436, | |
| "learning_rate": 1.9966436017605294e-06, | |
| "loss": 1.2814, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 13.853473081890478, | |
| "learning_rate": 1.9940356672322033e-06, | |
| "loss": 1.1953, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 16.848081467071964, | |
| "learning_rate": 1.9906859460363304e-06, | |
| "loss": 1.079, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 18.08619313399252, | |
| "learning_rate": 1.986596937860402e-06, | |
| "loss": 1.1758, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 30.916344763492923, | |
| "learning_rate": 1.9817716940755586e-06, | |
| "loss": 1.2324, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "grad_norm": 17.258511861961132, | |
| "learning_rate": 1.9762138154595447e-06, | |
| "loss": 1.1936, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "grad_norm": 24.524385733499397, | |
| "learning_rate": 1.969927449509671e-06, | |
| "loss": 1.2165, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "grad_norm": 26.715644236526586, | |
| "learning_rate": 1.9629172873477994e-06, | |
| "loss": 1.2285, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "eval_loss": 1.5651321411132812, | |
| "eval_runtime": 0.7146, | |
| "eval_samples_per_second": 26.587, | |
| "eval_steps_per_second": 4.198, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "grad_norm": 17.531011515200536, | |
| "learning_rate": 1.955188560219648e-06, | |
| "loss": 1.4038, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "grad_norm": 18.16843193413544, | |
| "learning_rate": 1.9467470355910435e-06, | |
| "loss": 1.1457, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "grad_norm": 18.30477919577972, | |
| "learning_rate": 1.93759901284402e-06, | |
| "loss": 1.3241, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "grad_norm": 15.24159083916747, | |
| "learning_rate": 1.9277513185759843e-06, | |
| "loss": 1.1836, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "grad_norm": 17.98268651120172, | |
| "learning_rate": 1.9172113015054528e-06, | |
| "loss": 1.3287, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "grad_norm": 19.765482182043318, | |
| "learning_rate": 1.9059868269881636e-06, | |
| "loss": 1.2563, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "grad_norm": 15.321519585287346, | |
| "learning_rate": 1.894086271147651e-06, | |
| "loss": 1.333, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "grad_norm": 15.240451512494225, | |
| "learning_rate": 1.8815185146246715e-06, | |
| "loss": 1.303, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "grad_norm": 26.618086369471722, | |
| "learning_rate": 1.8682929359501337e-06, | |
| "loss": 1.1407, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "grad_norm": 16.760378227245127, | |
| "learning_rate": 1.8544194045464886e-06, | |
| "loss": 1.3433, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 15.731131741212232, | |
| "learning_rate": 1.8399082733627965e-06, | |
| "loss": 1.2074, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "eval_loss": 1.563856601715088, | |
| "eval_runtime": 0.7192, | |
| "eval_samples_per_second": 26.42, | |
| "eval_steps_per_second": 4.172, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "grad_norm": 12.983444823217722, | |
| "learning_rate": 1.8247703711489684e-06, | |
| "loss": 1.3574, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "grad_norm": 12.49029286171803, | |
| "learning_rate": 1.8090169943749474e-06, | |
| "loss": 1.2959, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 13.615451091420056, | |
| "learning_rate": 1.792659898800858e-06, | |
| "loss": 1.3111, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "grad_norm": 13.83043214333827, | |
| "learning_rate": 1.7757112907044198e-06, | |
| "loss": 1.164, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "grad_norm": 17.199617532425503, | |
| "learning_rate": 1.7581838177721627e-06, | |
| "loss": 1.2572, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "grad_norm": 13.886856649280148, | |
| "learning_rate": 1.7400905596612518e-06, | |
| "loss": 1.3808, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "grad_norm": 17.01161335716492, | |
| "learning_rate": 1.7214450182389558e-06, | |
| "loss": 1.2377, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "grad_norm": 16.95998475128064, | |
| "learning_rate": 1.7022611075070473e-06, | |
| "loss": 1.3853, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "grad_norm": 13.954711140424775, | |
| "learning_rate": 1.682553143218654e-06, | |
| "loss": 1.3123, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "grad_norm": 12.766235187566373, | |
| "learning_rate": 1.6623358321953075e-06, | |
| "loss": 1.3318, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 15.881992031808778, | |
| "learning_rate": 1.6416242613521608e-06, | |
| "loss": 1.1427, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 1.5613698959350586, | |
| "eval_runtime": 0.7121, | |
| "eval_samples_per_second": 26.682, | |
| "eval_steps_per_second": 4.213, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 22.32758169934701, | |
| "learning_rate": 1.620433886439568e-06, | |
| "loss": 1.2566, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 19.283171374081274, | |
| "learning_rate": 1.5987805205094225e-06, | |
| "loss": 1.2843, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 23.43177794733975, | |
| "learning_rate": 1.5766803221148673e-06, | |
| "loss": 1.07, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 18.182020692564503, | |
| "learning_rate": 1.5541497832521748e-06, | |
| "loss": 1.282, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "grad_norm": 20.628541954390826, | |
| "learning_rate": 1.5312057170538033e-06, | |
| "loss": 1.3346, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "grad_norm": 15.580608816530566, | |
| "learning_rate": 1.5078652452418061e-06, | |
| "loss": 1.1438, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "grad_norm": 30.651996033534974, | |
| "learning_rate": 1.4841457853509606e-06, | |
| "loss": 1.1336, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "grad_norm": 27.90625437429977, | |
| "learning_rate": 1.460065037731152e-06, | |
| "loss": 1.0438, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "grad_norm": 20.028259149281578, | |
| "learning_rate": 1.435640972338709e-06, | |
| "loss": 1.0063, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "grad_norm": 80.43631627916895, | |
| "learning_rate": 1.4108918153265483e-06, | |
| "loss": 1.1825, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "grad_norm": 25.77403308079665, | |
| "learning_rate": 1.3858360354431353e-06, | |
| "loss": 1.1015, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "eval_loss": 1.589799165725708, | |
| "eval_runtime": 0.7172, | |
| "eval_samples_per_second": 26.492, | |
| "eval_steps_per_second": 4.183, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 3.23, | |
| "grad_norm": 16.049824385113027, | |
| "learning_rate": 1.3604923302504146e-06, | |
| "loss": 1.2436, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "grad_norm": 17.554830050600568, | |
| "learning_rate": 1.334879612170986e-06, | |
| "loss": 1.2744, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "grad_norm": 34.29698177659916, | |
| "learning_rate": 1.3090169943749473e-06, | |
| "loss": 1.1353, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "grad_norm": 15.066763246839983, | |
| "learning_rate": 1.28292377651693e-06, | |
| "loss": 1.0975, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "grad_norm": 15.41708692373067, | |
| "learning_rate": 1.2566194303339736e-06, | |
| "loss": 1.0563, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "grad_norm": 18.267303206961834, | |
| "learning_rate": 1.2301235851149864e-06, | |
| "loss": 1.0356, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "grad_norm": 20.142637118265448, | |
| "learning_rate": 1.203456013052634e-06, | |
| "loss": 0.9916, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "grad_norm": 18.348855031228275, | |
| "learning_rate": 1.1766366144885876e-06, | |
| "loss": 1.0912, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "grad_norm": 22.975817365085188, | |
| "learning_rate": 1.1496854030631443e-06, | |
| "loss": 1.2215, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 21.405025341337048, | |
| "learning_rate": 1.1226224907802983e-06, | |
| "loss": 1.0011, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "grad_norm": 25.38439827494932, | |
| "learning_rate": 1.09546807299941e-06, | |
| "loss": 1.0554, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "eval_loss": 1.598961353302002, | |
| "eval_runtime": 0.7053, | |
| "eval_samples_per_second": 26.939, | |
| "eval_steps_per_second": 4.253, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "grad_norm": 23.869269037708953, | |
| "learning_rate": 1.068242413364671e-06, | |
| "loss": 1.0765, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "grad_norm": 20.257462245092007, | |
| "learning_rate": 1.0409658286836142e-06, | |
| "loss": 1.0582, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "grad_norm": 19.46568448101564, | |
| "learning_rate": 1.013658673765951e-06, | |
| "loss": 0.9385, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "grad_norm": 17.633329114330536, | |
| "learning_rate": 9.863413262340491e-07, | |
| "loss": 1.0655, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "grad_norm": 18.360830228231016, | |
| "learning_rate": 9.590341713163857e-07, | |
| "loss": 1.0585, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "grad_norm": 28.280116948987985, | |
| "learning_rate": 9.317575866353291e-07, | |
| "loss": 1.0745, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 18.714484593323697, | |
| "learning_rate": 9.045319270005899e-07, | |
| "loss": 1.1066, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "grad_norm": 18.493407853427207, | |
| "learning_rate": 8.773775092197017e-07, | |
| "loss": 1.1487, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "grad_norm": 15.418345317006398, | |
| "learning_rate": 8.503145969368561e-07, | |
| "loss": 1.0612, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 20.396322689348853, | |
| "learning_rate": 8.233633855114126e-07, | |
| "loss": 1.2003, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "grad_norm": 17.509296672645167, | |
| "learning_rate": 7.965439869473663e-07, | |
| "loss": 1.1675, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "eval_loss": 1.5823198556900024, | |
| "eval_runtime": 0.7074, | |
| "eval_samples_per_second": 26.859, | |
| "eval_steps_per_second": 4.241, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "grad_norm": 17.874492077847012, | |
| "learning_rate": 7.698764148850136e-07, | |
| "loss": 1.1659, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "grad_norm": 14.51843668106554, | |
| "learning_rate": 7.433805696660265e-07, | |
| "loss": 1.2677, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 16.411484470021765, | |
| "learning_rate": 7.170762234830698e-07, | |
| "loss": 1.0716, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "grad_norm": 15.081980158065493, | |
| "learning_rate": 6.909830056250526e-07, | |
| "loss": 1.0398, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "grad_norm": 36.853088696666596, | |
| "learning_rate": 6.651203878290138e-07, | |
| "loss": 1.1363, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "grad_norm": 20.85086144147437, | |
| "learning_rate": 6.395076697495854e-07, | |
| "loss": 1.0982, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "grad_norm": 20.688913164535432, | |
| "learning_rate": 6.141639645568645e-07, | |
| "loss": 1.2441, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "grad_norm": 18.59793479693209, | |
| "learning_rate": 5.891081846734518e-07, | |
| "loss": 1.2716, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "grad_norm": 17.721440079083937, | |
| "learning_rate": 5.643590276612909e-07, | |
| "loss": 1.0584, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "grad_norm": 15.00406388227531, | |
| "learning_rate": 5.399349622688478e-07, | |
| "loss": 1.1342, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 25.699720756705826, | |
| "learning_rate": 5.158542146490399e-07, | |
| "loss": 1.0228, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "eval_loss": 1.59492826461792, | |
| "eval_runtime": 0.7093, | |
| "eval_samples_per_second": 26.788, | |
| "eval_steps_per_second": 4.23, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 83.83203479931613, | |
| "learning_rate": 4.921347547581939e-07, | |
| "loss": 1.0583, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "grad_norm": 18.908590376838315, | |
| "learning_rate": 4.687942829461968e-07, | |
| "loss": 1.2002, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "grad_norm": 20.093904912894295, | |
| "learning_rate": 4.458502167478253e-07, | |
| "loss": 1.1312, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "grad_norm": 17.927361470853445, | |
| "learning_rate": 4.233196778851329e-07, | |
| "loss": 0.9887, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "grad_norm": 17.500466476762753, | |
| "learning_rate": 4.0121947949057745e-07, | |
| "loss": 1.0448, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "grad_norm": 20.450518926551336, | |
| "learning_rate": 3.7956611356043187e-07, | |
| "loss": 1.0033, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "grad_norm": 13.154322829642174, | |
| "learning_rate": 3.5837573864783886e-07, | |
| "loss": 1.0149, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "grad_norm": 15.437488138912448, | |
| "learning_rate": 3.376641678046925e-07, | |
| "loss": 0.9763, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "grad_norm": 15.105733912044274, | |
| "learning_rate": 3.174468567813461e-07, | |
| "loss": 1.0967, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "grad_norm": 17.305766755283663, | |
| "learning_rate": 2.977388924929529e-07, | |
| "loss": 1.1039, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "grad_norm": 16.231545635905064, | |
| "learning_rate": 2.785549817610443e-07, | |
| "loss": 1.0462, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "eval_loss": 1.603925347328186, | |
| "eval_runtime": 0.7063, | |
| "eval_samples_per_second": 26.901, | |
| "eval_steps_per_second": 4.248, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "grad_norm": 18.893987339054704, | |
| "learning_rate": 2.5990944033874805e-07, | |
| "loss": 1.0632, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 4.23, | |
| "grad_norm": 17.44980507116009, | |
| "learning_rate": 2.418161822278374e-07, | |
| "loss": 0.9842, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "grad_norm": 29.138435113761794, | |
| "learning_rate": 2.2428870929558007e-07, | |
| "loss": 1.0093, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "grad_norm": 16.019392658965238, | |
| "learning_rate": 2.0734010119914192e-07, | |
| "loss": 1.1514, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 4.3, | |
| "grad_norm": 18.422606371985193, | |
| "learning_rate": 1.9098300562505264e-07, | |
| "loss": 0.9936, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 20.29935346804679, | |
| "learning_rate": 1.7522962885103143e-07, | |
| "loss": 0.9865, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "grad_norm": 20.824832412759804, | |
| "learning_rate": 1.600917266372035e-07, | |
| "loss": 0.9231, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "grad_norm": 21.027061101922552, | |
| "learning_rate": 1.4558059545351142e-07, | |
| "loss": 1.1464, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "grad_norm": 17.71341082614252, | |
| "learning_rate": 1.3170706404986641e-07, | |
| "loss": 1.0501, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 4.42, | |
| "grad_norm": 40.59586545440542, | |
| "learning_rate": 1.1848148537532842e-07, | |
| "loss": 0.8546, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "grad_norm": 15.527142785649184, | |
| "learning_rate": 1.0591372885234884e-07, | |
| "loss": 1.0623, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "eval_loss": 1.6127262115478516, | |
| "eval_runtime": 0.7139, | |
| "eval_samples_per_second": 26.613, | |
| "eval_steps_per_second": 4.202, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 4.47, | |
| "grad_norm": 17.44495563338529, | |
| "learning_rate": 9.401317301183653e-08, | |
| "loss": 1.0214, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "grad_norm": 16.79562586198273, | |
| "learning_rate": 8.278869849454717e-08, | |
| "loss": 1.062, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.51, | |
| "grad_norm": 37.42592455907486, | |
| "learning_rate": 7.224868142401541e-08, | |
| "loss": 1.0987, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "grad_norm": 18.88865561746405, | |
| "learning_rate": 6.240098715597975e-08, | |
| "loss": 1.1737, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "grad_norm": 16.06520526829645, | |
| "learning_rate": 5.325296440895621e-08, | |
| "loss": 1.0698, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "grad_norm": 16.96266292755209, | |
| "learning_rate": 4.4811439780351954e-08, | |
| "loss": 1.0868, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "grad_norm": 21.607421080544366, | |
| "learning_rate": 3.708271265220087e-08, | |
| "loss": 1.0023, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 4.63, | |
| "grad_norm": 37.09802951566717, | |
| "learning_rate": 3.0072550490328754e-08, | |
| "loss": 1.0426, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "grad_norm": 19.227406904456235, | |
| "learning_rate": 2.3786184540455445e-08, | |
| "loss": 0.99, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "grad_norm": 27.515824637265553, | |
| "learning_rate": 1.8228305924441466e-08, | |
| "loss": 1.0157, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "grad_norm": 17.81534294061714, | |
| "learning_rate": 1.3403062139598077e-08, | |
| "loss": 1.1305, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "eval_loss": 1.6108512878417969, | |
| "eval_runtime": 0.7173, | |
| "eval_samples_per_second": 26.487, | |
| "eval_steps_per_second": 4.182, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "grad_norm": 20.179310179641224, | |
| "learning_rate": 9.314053963669244e-09, | |
| "loss": 1.1015, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 4.74, | |
| "grad_norm": 17.981551146678783, | |
| "learning_rate": 5.964332767796399e-09, | |
| "loss": 0.959, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "grad_norm": 65.99980024827727, | |
| "learning_rate": 3.356398239470426e-09, | |
| "loss": 1.062, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "grad_norm": 19.48904424180376, | |
| "learning_rate": 1.4921965171720286e-09, | |
| "loss": 1.0008, | |
| "step": 213 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "grad_norm": 17.408148670571457, | |
| "learning_rate": 3.731187380893175e-10, | |
| "loss": 0.9879, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "grad_norm": 20.859206021085225, | |
| "learning_rate": 0.0, | |
| "loss": 0.9305, | |
| "step": 215 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 215, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 43, | |
| "total_flos": 3.005727219331891e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |