Instructions to use learn3r/longt5_xl_sfd_memsum_40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_sfd_memsum_40 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_sfd_memsum_40") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_sfd_memsum_40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 2.2837178707122803, | |
| "best_model_checkpoint": "/exports/eddie/scratch/s1970716/models/longt5_xl_sfd_memsum_40/checkpoint-57", | |
| "epoch": 38.95652173913044, | |
| "eval_steps": 500, | |
| "global_step": 1120, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 1.5414308309555054, | |
| "learning_rate": 0.001, | |
| "loss": 3.1508, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 1.1113317012786865, | |
| "learning_rate": 0.001, | |
| "loss": 3.2124, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.7978044152259827, | |
| "learning_rate": 0.001, | |
| "loss": 2.9466, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.6611266136169434, | |
| "learning_rate": 0.001, | |
| "loss": 2.8914, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 0.6737671494483948, | |
| "learning_rate": 0.001, | |
| "loss": 2.7507, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 0.41579362750053406, | |
| "learning_rate": 0.001, | |
| "loss": 2.6653, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 0.37621861696243286, | |
| "learning_rate": 0.001, | |
| "loss": 2.579, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 0.581123411655426, | |
| "learning_rate": 0.001, | |
| "loss": 2.631, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.6653873920440674, | |
| "learning_rate": 0.001, | |
| "loss": 2.6978, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 0.45471808314323425, | |
| "learning_rate": 0.001, | |
| "loss": 2.6541, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 0.38716837763786316, | |
| "learning_rate": 0.001, | |
| "loss": 2.5325, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 0.40614280104637146, | |
| "learning_rate": 0.001, | |
| "loss": 2.5584, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 0.3157476484775543, | |
| "learning_rate": 0.001, | |
| "loss": 2.5054, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 0.3763532042503357, | |
| "learning_rate": 0.001, | |
| "loss": 2.5238, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_loss": 2.314685106277466, | |
| "eval_runtime": 14.2455, | |
| "eval_samples_per_second": 23.727, | |
| "eval_steps_per_second": 3.018, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 0.3202365040779114, | |
| "learning_rate": 0.001, | |
| "loss": 2.3018, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 0.4395117461681366, | |
| "learning_rate": 0.001, | |
| "loss": 2.1284, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 0.47938525676727295, | |
| "learning_rate": 0.001, | |
| "loss": 2.1782, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 1.0489932298660278, | |
| "learning_rate": 0.001, | |
| "loss": 2.1666, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 0.34978240728378296, | |
| "learning_rate": 0.001, | |
| "loss": 2.1598, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 0.28448227047920227, | |
| "learning_rate": 0.001, | |
| "loss": 2.023, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 0.3449482023715973, | |
| "learning_rate": 0.001, | |
| "loss": 2.0545, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 0.6303105354309082, | |
| "learning_rate": 0.001, | |
| "loss": 2.1264, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 0.3750413656234741, | |
| "learning_rate": 0.001, | |
| "loss": 2.1176, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 0.44775936007499695, | |
| "learning_rate": 0.001, | |
| "loss": 2.1624, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 0.34849441051483154, | |
| "learning_rate": 0.001, | |
| "loss": 2.0809, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 0.28750795125961304, | |
| "learning_rate": 0.001, | |
| "loss": 2.0913, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 0.2710261940956116, | |
| "learning_rate": 0.001, | |
| "loss": 2.0855, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 0.28888803720474243, | |
| "learning_rate": 0.001, | |
| "loss": 2.1298, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "eval_loss": 2.2837178707122803, | |
| "eval_runtime": 14.2329, | |
| "eval_samples_per_second": 23.748, | |
| "eval_steps_per_second": 3.021, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 0.2953917682170868, | |
| "learning_rate": 0.001, | |
| "loss": 1.9808, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 2.0295698642730713, | |
| "learning_rate": 0.001, | |
| "loss": 1.7208, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 0.4198295772075653, | |
| "learning_rate": 0.001, | |
| "loss": 1.7108, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 0.3806304335594177, | |
| "learning_rate": 0.001, | |
| "loss": 1.677, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "grad_norm": 0.36914414167404175, | |
| "learning_rate": 0.001, | |
| "loss": 1.6717, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 0.34834641218185425, | |
| "learning_rate": 0.001, | |
| "loss": 1.6516, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "grad_norm": 0.3333311080932617, | |
| "learning_rate": 0.001, | |
| "loss": 1.6677, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 0.41852736473083496, | |
| "learning_rate": 0.001, | |
| "loss": 1.6135, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 0.40690872073173523, | |
| "learning_rate": 0.001, | |
| "loss": 1.6447, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "grad_norm": 0.4816026985645294, | |
| "learning_rate": 0.001, | |
| "loss": 1.7096, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "grad_norm": 0.8278970122337341, | |
| "learning_rate": 0.001, | |
| "loss": 1.6721, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "grad_norm": 0.27179405093193054, | |
| "learning_rate": 0.001, | |
| "loss": 1.6351, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "grad_norm": 0.2935534417629242, | |
| "learning_rate": 0.001, | |
| "loss": 1.6402, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "grad_norm": 0.3557533919811249, | |
| "learning_rate": 0.001, | |
| "loss": 1.6755, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "grad_norm": 0.3663090169429779, | |
| "learning_rate": 0.001, | |
| "loss": 1.7525, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "eval_loss": 2.333530902862549, | |
| "eval_runtime": 14.2215, | |
| "eval_samples_per_second": 23.767, | |
| "eval_steps_per_second": 3.024, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "grad_norm": 0.37869980931282043, | |
| "learning_rate": 0.001, | |
| "loss": 1.3103, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "grad_norm": 0.32068952918052673, | |
| "learning_rate": 0.001, | |
| "loss": 1.2763, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 0.33284562826156616, | |
| "learning_rate": 0.001, | |
| "loss": 1.2235, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 0.4027257561683655, | |
| "learning_rate": 0.001, | |
| "loss": 1.2606, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 0.8390576839447021, | |
| "learning_rate": 0.001, | |
| "loss": 1.2426, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "grad_norm": 0.3938799798488617, | |
| "learning_rate": 0.001, | |
| "loss": 1.2499, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "grad_norm": 0.39702850580215454, | |
| "learning_rate": 0.001, | |
| "loss": 1.3165, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "grad_norm": 0.4196929633617401, | |
| "learning_rate": 0.001, | |
| "loss": 1.2884, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "grad_norm": 0.4435763657093048, | |
| "learning_rate": 0.001, | |
| "loss": 1.3407, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "grad_norm": 0.3989652395248413, | |
| "learning_rate": 0.001, | |
| "loss": 1.3119, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 0.35742542147636414, | |
| "learning_rate": 0.001, | |
| "loss": 1.2882, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "grad_norm": 0.3512905538082123, | |
| "learning_rate": 0.001, | |
| "loss": 1.276, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "grad_norm": 0.35384494066238403, | |
| "learning_rate": 0.001, | |
| "loss": 1.31, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "grad_norm": 0.38055282831192017, | |
| "learning_rate": 0.001, | |
| "loss": 1.2954, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 2.4995365142822266, | |
| "eval_runtime": 14.2261, | |
| "eval_samples_per_second": 23.759, | |
| "eval_steps_per_second": 3.023, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "grad_norm": 0.33426040410995483, | |
| "learning_rate": 0.001, | |
| "loss": 1.0702, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 4.1, | |
| "grad_norm": 0.3915540277957916, | |
| "learning_rate": 0.001, | |
| "loss": 0.93, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "grad_norm": 0.3885715901851654, | |
| "learning_rate": 0.001, | |
| "loss": 0.8923, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "grad_norm": 0.3450148105621338, | |
| "learning_rate": 0.001, | |
| "loss": 0.9367, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "grad_norm": 0.34307780861854553, | |
| "learning_rate": 0.001, | |
| "loss": 0.9471, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "grad_norm": 0.3358236253261566, | |
| "learning_rate": 0.001, | |
| "loss": 0.9597, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 4.45, | |
| "grad_norm": 0.32632964849472046, | |
| "learning_rate": 0.001, | |
| "loss": 0.9678, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "grad_norm": 0.3462707996368408, | |
| "learning_rate": 0.001, | |
| "loss": 0.975, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "grad_norm": 0.4402617812156677, | |
| "learning_rate": 0.001, | |
| "loss": 0.9908, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "grad_norm": 0.4284449815750122, | |
| "learning_rate": 0.001, | |
| "loss": 0.9721, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "grad_norm": 0.3820173144340515, | |
| "learning_rate": 0.001, | |
| "loss": 0.983, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "grad_norm": 0.5288845300674438, | |
| "learning_rate": 0.001, | |
| "loss": 0.9376, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 0.489346981048584, | |
| "learning_rate": 0.001, | |
| "loss": 0.9801, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "grad_norm": 0.4548284709453583, | |
| "learning_rate": 0.001, | |
| "loss": 1.0518, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "eval_loss": 2.832628011703491, | |
| "eval_runtime": 14.24, | |
| "eval_samples_per_second": 23.736, | |
| "eval_steps_per_second": 3.02, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "grad_norm": 0.4093753397464752, | |
| "learning_rate": 0.001, | |
| "loss": 0.9381, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "grad_norm": 0.5986877679824829, | |
| "learning_rate": 0.001, | |
| "loss": 0.6649, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 5.15, | |
| "grad_norm": 0.4789908230304718, | |
| "learning_rate": 0.001, | |
| "loss": 0.6925, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "grad_norm": 0.4392305612564087, | |
| "learning_rate": 0.001, | |
| "loss": 0.6901, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "grad_norm": 0.49618610739707947, | |
| "learning_rate": 0.001, | |
| "loss": 0.7173, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "grad_norm": 0.513729453086853, | |
| "learning_rate": 0.001, | |
| "loss": 0.6951, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 5.43, | |
| "grad_norm": 0.4622480571269989, | |
| "learning_rate": 0.001, | |
| "loss": 0.6757, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "grad_norm": 0.4192960560321808, | |
| "learning_rate": 0.001, | |
| "loss": 0.7125, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "grad_norm": 0.3887766897678375, | |
| "learning_rate": 0.001, | |
| "loss": 0.6905, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 5.63, | |
| "grad_norm": 0.3633786141872406, | |
| "learning_rate": 0.001, | |
| "loss": 0.73, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "grad_norm": 0.4010884761810303, | |
| "learning_rate": 0.001, | |
| "loss": 0.7473, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 5.77, | |
| "grad_norm": 0.4541136920452118, | |
| "learning_rate": 0.001, | |
| "loss": 0.7659, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 5.84, | |
| "grad_norm": 0.4243777394294739, | |
| "learning_rate": 0.001, | |
| "loss": 0.7742, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "grad_norm": 0.40389642119407654, | |
| "learning_rate": 0.001, | |
| "loss": 0.7312, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "grad_norm": 0.39572134613990784, | |
| "learning_rate": 0.001, | |
| "loss": 0.7083, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "eval_loss": 2.9095335006713867, | |
| "eval_runtime": 14.2201, | |
| "eval_samples_per_second": 23.769, | |
| "eval_steps_per_second": 3.024, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "grad_norm": 0.34924399852752686, | |
| "learning_rate": 0.001, | |
| "loss": 0.5277, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "grad_norm": 0.42162197828292847, | |
| "learning_rate": 0.001, | |
| "loss": 0.5141, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 6.19, | |
| "grad_norm": 0.43131959438323975, | |
| "learning_rate": 0.001, | |
| "loss": 0.5295, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "grad_norm": 0.3414030075073242, | |
| "learning_rate": 0.001, | |
| "loss": 0.5293, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "grad_norm": 0.2947409451007843, | |
| "learning_rate": 0.001, | |
| "loss": 0.5094, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 0.3493882119655609, | |
| "learning_rate": 0.001, | |
| "loss": 0.5103, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 6.47, | |
| "grad_norm": 0.32564929127693176, | |
| "learning_rate": 0.001, | |
| "loss": 0.4955, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 6.54, | |
| "grad_norm": 0.3580136299133301, | |
| "learning_rate": 0.001, | |
| "loss": 0.4923, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "grad_norm": 0.40878280997276306, | |
| "learning_rate": 0.001, | |
| "loss": 0.5312, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 6.68, | |
| "grad_norm": 0.42687222361564636, | |
| "learning_rate": 0.001, | |
| "loss": 0.5977, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "grad_norm": 0.3438556492328644, | |
| "learning_rate": 0.001, | |
| "loss": 0.5811, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "grad_norm": 0.3497261703014374, | |
| "learning_rate": 0.001, | |
| "loss": 0.542, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 6.89, | |
| "grad_norm": 0.5538045167922974, | |
| "learning_rate": 0.001, | |
| "loss": 0.5392, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "grad_norm": 0.40168508887290955, | |
| "learning_rate": 0.001, | |
| "loss": 0.5124, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 6.99, | |
| "eval_loss": 3.4108099937438965, | |
| "eval_runtime": 14.2162, | |
| "eval_samples_per_second": 23.776, | |
| "eval_steps_per_second": 3.025, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "grad_norm": 0.45531949400901794, | |
| "learning_rate": 0.001, | |
| "loss": 0.4621, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "grad_norm": 0.420217901468277, | |
| "learning_rate": 0.001, | |
| "loss": 0.3526, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 7.17, | |
| "grad_norm": 0.39295145869255066, | |
| "learning_rate": 0.001, | |
| "loss": 0.3522, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "grad_norm": 0.42002934217453003, | |
| "learning_rate": 0.001, | |
| "loss": 0.37, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 7.3, | |
| "grad_norm": 0.3919942378997803, | |
| "learning_rate": 0.001, | |
| "loss": 0.4123, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 7.37, | |
| "grad_norm": 0.34964632987976074, | |
| "learning_rate": 0.001, | |
| "loss": 0.4155, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 7.44, | |
| "grad_norm": 0.3752292990684509, | |
| "learning_rate": 0.001, | |
| "loss": 0.392, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "grad_norm": 0.31345558166503906, | |
| "learning_rate": 0.001, | |
| "loss": 0.3973, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 7.58, | |
| "grad_norm": 0.32503190636634827, | |
| "learning_rate": 0.001, | |
| "loss": 0.3788, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 7.65, | |
| "grad_norm": 0.40439680218696594, | |
| "learning_rate": 0.001, | |
| "loss": 0.3997, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "grad_norm": 0.5034092664718628, | |
| "learning_rate": 0.001, | |
| "loss": 0.3934, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "grad_norm": 0.4480283260345459, | |
| "learning_rate": 0.001, | |
| "loss": 0.4095, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "grad_norm": 0.44010230898857117, | |
| "learning_rate": 0.001, | |
| "loss": 0.3963, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 7.93, | |
| "grad_norm": 0.4241428077220917, | |
| "learning_rate": 0.001, | |
| "loss": 0.4081, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 1.4331179857254028, | |
| "learning_rate": 0.001, | |
| "loss": 0.4503, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 3.445927858352661, | |
| "eval_runtime": 14.2138, | |
| "eval_samples_per_second": 23.78, | |
| "eval_steps_per_second": 3.025, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 8.07, | |
| "grad_norm": 0.26638248562812805, | |
| "learning_rate": 0.001, | |
| "loss": 0.2491, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 8.14, | |
| "grad_norm": 0.30395275354385376, | |
| "learning_rate": 0.001, | |
| "loss": 0.2501, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 8.21, | |
| "grad_norm": 0.36178329586982727, | |
| "learning_rate": 0.001, | |
| "loss": 0.2818, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "grad_norm": 0.33713603019714355, | |
| "learning_rate": 0.001, | |
| "loss": 0.3005, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 8.35, | |
| "grad_norm": 0.2999133765697479, | |
| "learning_rate": 0.001, | |
| "loss": 0.2863, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 8.42, | |
| "grad_norm": 0.4105747938156128, | |
| "learning_rate": 0.001, | |
| "loss": 0.2946, | |
| "step": 242 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "grad_norm": 0.3367477357387543, | |
| "learning_rate": 0.001, | |
| "loss": 0.3052, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 8.56, | |
| "grad_norm": 0.3373625874519348, | |
| "learning_rate": 0.001, | |
| "loss": 0.3166, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 8.63, | |
| "grad_norm": 0.2816782295703888, | |
| "learning_rate": 0.001, | |
| "loss": 0.2819, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 8.7, | |
| "grad_norm": 0.30990245938301086, | |
| "learning_rate": 0.001, | |
| "loss": 0.3023, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 8.77, | |
| "grad_norm": 0.317903608083725, | |
| "learning_rate": 0.001, | |
| "loss": 0.3128, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "grad_norm": 0.3024023473262787, | |
| "learning_rate": 0.001, | |
| "loss": 0.3167, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 8.9, | |
| "grad_norm": 0.3257545828819275, | |
| "learning_rate": 0.001, | |
| "loss": 0.3121, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "grad_norm": 0.34182751178741455, | |
| "learning_rate": 0.001, | |
| "loss": 0.3145, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "eval_loss": 3.52162766456604, | |
| "eval_runtime": 14.1996, | |
| "eval_samples_per_second": 23.804, | |
| "eval_steps_per_second": 3.028, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 9.04, | |
| "grad_norm": 0.2942521274089813, | |
| "learning_rate": 0.001, | |
| "loss": 0.2462, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 9.11, | |
| "grad_norm": 0.2955419719219208, | |
| "learning_rate": 0.001, | |
| "loss": 0.205, | |
| "step": 262 | |
| }, | |
| { | |
| "epoch": 9.18, | |
| "grad_norm": 0.29875773191452026, | |
| "learning_rate": 0.001, | |
| "loss": 0.2185, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "grad_norm": 0.9682367444038391, | |
| "learning_rate": 0.001, | |
| "loss": 0.5828, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "grad_norm": 0.32209742069244385, | |
| "learning_rate": 0.001, | |
| "loss": 0.2255, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "grad_norm": 0.2810392379760742, | |
| "learning_rate": 0.001, | |
| "loss": 0.2157, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 9.46, | |
| "grad_norm": 0.26448503136634827, | |
| "learning_rate": 0.001, | |
| "loss": 0.2136, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 9.53, | |
| "grad_norm": 0.2602413296699524, | |
| "learning_rate": 0.001, | |
| "loss": 0.2264, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "grad_norm": 0.30358317494392395, | |
| "learning_rate": 0.001, | |
| "loss": 0.2349, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 9.67, | |
| "grad_norm": 0.2755320966243744, | |
| "learning_rate": 0.001, | |
| "loss": 0.2346, | |
| "step": 278 | |
| }, | |
| { | |
| "epoch": 9.74, | |
| "grad_norm": 0.257522314786911, | |
| "learning_rate": 0.001, | |
| "loss": 0.2312, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "grad_norm": 0.3185376524925232, | |
| "learning_rate": 0.001, | |
| "loss": 0.2519, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "grad_norm": 0.352522611618042, | |
| "learning_rate": 0.001, | |
| "loss": 0.2678, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "grad_norm": 0.3061072826385498, | |
| "learning_rate": 0.001, | |
| "loss": 0.2573, | |
| "step": 286 | |
| }, | |
| { | |
| "epoch": 9.98, | |
| "eval_loss": 4.012668609619141, | |
| "eval_runtime": 14.2083, | |
| "eval_samples_per_second": 23.789, | |
| "eval_steps_per_second": 3.026, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 10.02, | |
| "grad_norm": 0.34469902515411377, | |
| "learning_rate": 0.001, | |
| "loss": 0.2394, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 10.09, | |
| "grad_norm": 0.26758918166160583, | |
| "learning_rate": 0.001, | |
| "loss": 0.1749, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 10.16, | |
| "grad_norm": 0.24024738371372223, | |
| "learning_rate": 0.001, | |
| "loss": 0.1687, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 10.23, | |
| "grad_norm": 0.2440188080072403, | |
| "learning_rate": 0.001, | |
| "loss": 0.1634, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 10.3, | |
| "grad_norm": 0.2564130425453186, | |
| "learning_rate": 0.001, | |
| "loss": 0.1759, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 10.37, | |
| "grad_norm": 0.27317214012145996, | |
| "learning_rate": 0.001, | |
| "loss": 0.19, | |
| "step": 298 | |
| }, | |
| { | |
| "epoch": 10.43, | |
| "grad_norm": 0.3196158707141876, | |
| "learning_rate": 0.001, | |
| "loss": 0.1903, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "grad_norm": 0.3399882912635803, | |
| "learning_rate": 0.001, | |
| "loss": 0.2016, | |
| "step": 302 | |
| }, | |
| { | |
| "epoch": 10.57, | |
| "grad_norm": 0.28635892271995544, | |
| "learning_rate": 0.001, | |
| "loss": 0.189, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 10.64, | |
| "grad_norm": 0.2602458596229553, | |
| "learning_rate": 0.001, | |
| "loss": 0.1792, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 10.71, | |
| "grad_norm": 0.29866456985473633, | |
| "learning_rate": 0.001, | |
| "loss": 0.1974, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 10.78, | |
| "grad_norm": 0.2757103443145752, | |
| "learning_rate": 0.001, | |
| "loss": 0.2025, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 10.85, | |
| "grad_norm": 0.2643924355506897, | |
| "learning_rate": 0.001, | |
| "loss": 0.2106, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 10.92, | |
| "grad_norm": 0.27770230174064636, | |
| "learning_rate": 0.001, | |
| "loss": 0.1999, | |
| "step": 314 | |
| }, | |
| { | |
| "epoch": 10.99, | |
| "grad_norm": 0.2809506356716156, | |
| "learning_rate": 0.001, | |
| "loss": 0.213, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 10.99, | |
| "eval_loss": 3.9713540077209473, | |
| "eval_runtime": 14.2091, | |
| "eval_samples_per_second": 23.788, | |
| "eval_steps_per_second": 3.026, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 11.06, | |
| "grad_norm": 0.19931960105895996, | |
| "learning_rate": 0.001, | |
| "loss": 0.1467, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 11.13, | |
| "grad_norm": 0.20454713702201843, | |
| "learning_rate": 0.001, | |
| "loss": 0.1357, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 11.2, | |
| "grad_norm": 0.22833150625228882, | |
| "learning_rate": 0.001, | |
| "loss": 0.1357, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 11.27, | |
| "grad_norm": 0.45052453875541687, | |
| "learning_rate": 0.001, | |
| "loss": 0.1401, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 11.34, | |
| "grad_norm": 0.2621672451496124, | |
| "learning_rate": 0.001, | |
| "loss": 0.1402, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 11.41, | |
| "grad_norm": 0.2570265829563141, | |
| "learning_rate": 0.001, | |
| "loss": 0.1743, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 11.48, | |
| "grad_norm": 0.2333604246377945, | |
| "learning_rate": 0.001, | |
| "loss": 0.1572, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 11.55, | |
| "grad_norm": 0.2325439304113388, | |
| "learning_rate": 0.001, | |
| "loss": 0.1505, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 11.62, | |
| "grad_norm": 0.2524455487728119, | |
| "learning_rate": 0.001, | |
| "loss": 0.1574, | |
| "step": 334 | |
| }, | |
| { | |
| "epoch": 11.69, | |
| "grad_norm": 0.2821509838104248, | |
| "learning_rate": 0.001, | |
| "loss": 0.162, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 11.76, | |
| "grad_norm": 0.2627921402454376, | |
| "learning_rate": 0.001, | |
| "loss": 0.1823, | |
| "step": 338 | |
| }, | |
| { | |
| "epoch": 11.83, | |
| "grad_norm": 0.20858174562454224, | |
| "learning_rate": 0.001, | |
| "loss": 0.1581, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 11.9, | |
| "grad_norm": 0.24444954097270966, | |
| "learning_rate": 0.001, | |
| "loss": 0.1528, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 11.97, | |
| "grad_norm": 0.23985397815704346, | |
| "learning_rate": 0.001, | |
| "loss": 0.1682, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_loss": 3.842698097229004, | |
| "eval_runtime": 14.2204, | |
| "eval_samples_per_second": 23.769, | |
| "eval_steps_per_second": 3.024, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 12.03, | |
| "grad_norm": 0.20599780976772308, | |
| "learning_rate": 0.001, | |
| "loss": 0.1472, | |
| "step": 346 | |
| }, | |
| { | |
| "epoch": 12.1, | |
| "grad_norm": 0.20421436429023743, | |
| "learning_rate": 0.001, | |
| "loss": 0.1136, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 12.17, | |
| "grad_norm": 0.21933647990226746, | |
| "learning_rate": 0.001, | |
| "loss": 0.1137, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 12.24, | |
| "grad_norm": 0.2488287091255188, | |
| "learning_rate": 0.001, | |
| "loss": 0.1223, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 12.31, | |
| "grad_norm": 0.21850407123565674, | |
| "learning_rate": 0.001, | |
| "loss": 0.1266, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 12.38, | |
| "grad_norm": 0.219721257686615, | |
| "learning_rate": 0.001, | |
| "loss": 0.1266, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 12.45, | |
| "grad_norm": 0.44860273599624634, | |
| "learning_rate": 0.001, | |
| "loss": 0.1271, | |
| "step": 358 | |
| }, | |
| { | |
| "epoch": 12.52, | |
| "grad_norm": 0.20995499193668365, | |
| "learning_rate": 0.001, | |
| "loss": 0.1201, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 12.59, | |
| "grad_norm": 0.2180211991071701, | |
| "learning_rate": 0.001, | |
| "loss": 0.1325, | |
| "step": 362 | |
| }, | |
| { | |
| "epoch": 12.66, | |
| "grad_norm": 0.23486308753490448, | |
| "learning_rate": 0.001, | |
| "loss": 0.1316, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 12.73, | |
| "grad_norm": 0.26361599564552307, | |
| "learning_rate": 0.001, | |
| "loss": 0.1417, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 12.8, | |
| "grad_norm": 0.27585896849632263, | |
| "learning_rate": 0.001, | |
| "loss": 0.1514, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 12.87, | |
| "grad_norm": 0.23249991238117218, | |
| "learning_rate": 0.001, | |
| "loss": 0.1387, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 12.94, | |
| "grad_norm": 0.2378188967704773, | |
| "learning_rate": 0.001, | |
| "loss": 0.1396, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 12.97, | |
| "eval_loss": 4.202455520629883, | |
| "eval_runtime": 14.2176, | |
| "eval_samples_per_second": 23.773, | |
| "eval_steps_per_second": 3.024, | |
| "step": 373 | |
| }, | |
| { | |
| "epoch": 13.01, | |
| "grad_norm": 0.25618231296539307, | |
| "learning_rate": 0.001, | |
| "loss": 0.1403, | |
| "step": 374 | |
| }, | |
| { | |
| "epoch": 13.08, | |
| "grad_norm": 0.19359038770198822, | |
| "learning_rate": 0.001, | |
| "loss": 0.1048, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 13.15, | |
| "grad_norm": 0.20456379652023315, | |
| "learning_rate": 0.001, | |
| "loss": 0.102, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 13.22, | |
| "grad_norm": 0.20489871501922607, | |
| "learning_rate": 0.001, | |
| "loss": 0.1039, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 13.29, | |
| "grad_norm": 0.20058828592300415, | |
| "learning_rate": 0.001, | |
| "loss": 0.1066, | |
| "step": 382 | |
| }, | |
| { | |
| "epoch": 13.36, | |
| "grad_norm": 0.20939727127552032, | |
| "learning_rate": 0.001, | |
| "loss": 0.1017, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 13.43, | |
| "grad_norm": 0.20905180275440216, | |
| "learning_rate": 0.001, | |
| "loss": 0.1074, | |
| "step": 386 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "grad_norm": 0.2082565426826477, | |
| "learning_rate": 0.001, | |
| "loss": 0.1122, | |
| "step": 388 | |
| }, | |
| { | |
| "epoch": 13.57, | |
| "grad_norm": 0.20671486854553223, | |
| "learning_rate": 0.001, | |
| "loss": 0.1137, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 13.63, | |
| "grad_norm": 0.20714151859283447, | |
| "learning_rate": 0.001, | |
| "loss": 0.1085, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 13.7, | |
| "grad_norm": 0.21117734909057617, | |
| "learning_rate": 0.001, | |
| "loss": 0.1225, | |
| "step": 394 | |
| }, | |
| { | |
| "epoch": 13.77, | |
| "grad_norm": 0.20374175906181335, | |
| "learning_rate": 0.001, | |
| "loss": 0.1135, | |
| "step": 396 | |
| }, | |
| { | |
| "epoch": 13.84, | |
| "grad_norm": 0.2223602831363678, | |
| "learning_rate": 0.001, | |
| "loss": 0.1188, | |
| "step": 398 | |
| }, | |
| { | |
| "epoch": 13.91, | |
| "grad_norm": 0.2405446618795395, | |
| "learning_rate": 0.001, | |
| "loss": 0.1329, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 13.98, | |
| "grad_norm": 0.25538983941078186, | |
| "learning_rate": 0.001, | |
| "loss": 0.1363, | |
| "step": 402 | |
| }, | |
| { | |
| "epoch": 13.98, | |
| "eval_loss": 4.401235103607178, | |
| "eval_runtime": 14.2163, | |
| "eval_samples_per_second": 23.776, | |
| "eval_steps_per_second": 3.025, | |
| "step": 402 | |
| }, | |
| { | |
| "epoch": 14.05, | |
| "grad_norm": 0.20007029175758362, | |
| "learning_rate": 0.001, | |
| "loss": 0.0995, | |
| "step": 404 | |
| }, | |
| { | |
| "epoch": 14.12, | |
| "grad_norm": 0.17897407710552216, | |
| "learning_rate": 0.001, | |
| "loss": 0.0927, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 14.19, | |
| "grad_norm": 0.18746937811374664, | |
| "learning_rate": 0.001, | |
| "loss": 0.0898, | |
| "step": 408 | |
| }, | |
| { | |
| "epoch": 14.26, | |
| "grad_norm": 0.1855156570672989, | |
| "learning_rate": 0.001, | |
| "loss": 0.0913, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 14.33, | |
| "grad_norm": 0.1712156981229782, | |
| "learning_rate": 0.001, | |
| "loss": 0.0891, | |
| "step": 412 | |
| }, | |
| { | |
| "epoch": 14.4, | |
| "grad_norm": 0.193171888589859, | |
| "learning_rate": 0.001, | |
| "loss": 0.0871, | |
| "step": 414 | |
| }, | |
| { | |
| "epoch": 14.47, | |
| "grad_norm": 0.19764076173305511, | |
| "learning_rate": 0.001, | |
| "loss": 0.0892, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 14.54, | |
| "grad_norm": 0.20630787312984467, | |
| "learning_rate": 0.001, | |
| "loss": 0.0984, | |
| "step": 418 | |
| }, | |
| { | |
| "epoch": 14.61, | |
| "grad_norm": 0.18784281611442566, | |
| "learning_rate": 0.001, | |
| "loss": 0.1002, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 14.68, | |
| "grad_norm": 0.2134091705083847, | |
| "learning_rate": 0.001, | |
| "loss": 0.0994, | |
| "step": 422 | |
| }, | |
| { | |
| "epoch": 14.75, | |
| "grad_norm": 0.20559023320674896, | |
| "learning_rate": 0.001, | |
| "loss": 0.1036, | |
| "step": 424 | |
| }, | |
| { | |
| "epoch": 14.82, | |
| "grad_norm": 0.22063368558883667, | |
| "learning_rate": 0.001, | |
| "loss": 0.1008, | |
| "step": 426 | |
| }, | |
| { | |
| "epoch": 14.89, | |
| "grad_norm": 0.21584555506706238, | |
| "learning_rate": 0.001, | |
| "loss": 0.1137, | |
| "step": 428 | |
| }, | |
| { | |
| "epoch": 14.96, | |
| "grad_norm": 0.20185333490371704, | |
| "learning_rate": 0.001, | |
| "loss": 0.1148, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 14.99, | |
| "eval_loss": 4.717379093170166, | |
| "eval_runtime": 14.2112, | |
| "eval_samples_per_second": 23.784, | |
| "eval_steps_per_second": 3.026, | |
| "step": 431 | |
| }, | |
| { | |
| "epoch": 15.03, | |
| "grad_norm": 0.22225050628185272, | |
| "learning_rate": 0.001, | |
| "loss": 0.0942, | |
| "step": 432 | |
| }, | |
| { | |
| "epoch": 15.1, | |
| "grad_norm": 0.2037811130285263, | |
| "learning_rate": 0.001, | |
| "loss": 0.0776, | |
| "step": 434 | |
| }, | |
| { | |
| "epoch": 15.17, | |
| "grad_norm": 0.1820273995399475, | |
| "learning_rate": 0.001, | |
| "loss": 0.0849, | |
| "step": 436 | |
| }, | |
| { | |
| "epoch": 15.23, | |
| "grad_norm": 0.18018700182437897, | |
| "learning_rate": 0.001, | |
| "loss": 0.0744, | |
| "step": 438 | |
| }, | |
| { | |
| "epoch": 15.3, | |
| "grad_norm": 0.21271073818206787, | |
| "learning_rate": 0.001, | |
| "loss": 0.0836, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 15.37, | |
| "grad_norm": 0.19622232019901276, | |
| "learning_rate": 0.001, | |
| "loss": 0.0841, | |
| "step": 442 | |
| }, | |
| { | |
| "epoch": 15.44, | |
| "grad_norm": 0.19101227819919586, | |
| "learning_rate": 0.001, | |
| "loss": 0.085, | |
| "step": 444 | |
| }, | |
| { | |
| "epoch": 15.51, | |
| "grad_norm": 0.18909965455532074, | |
| "learning_rate": 0.001, | |
| "loss": 0.093, | |
| "step": 446 | |
| }, | |
| { | |
| "epoch": 15.58, | |
| "grad_norm": 0.2003660649061203, | |
| "learning_rate": 0.001, | |
| "loss": 0.0877, | |
| "step": 448 | |
| }, | |
| { | |
| "epoch": 15.65, | |
| "grad_norm": 0.2101544439792633, | |
| "learning_rate": 0.001, | |
| "loss": 0.0908, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 15.72, | |
| "grad_norm": 0.20344135165214539, | |
| "learning_rate": 0.001, | |
| "loss": 0.0943, | |
| "step": 452 | |
| }, | |
| { | |
| "epoch": 15.79, | |
| "grad_norm": 0.28948044776916504, | |
| "learning_rate": 0.001, | |
| "loss": 0.1094, | |
| "step": 454 | |
| }, | |
| { | |
| "epoch": 15.86, | |
| "grad_norm": 0.29758819937705994, | |
| "learning_rate": 0.001, | |
| "loss": 0.1247, | |
| "step": 456 | |
| }, | |
| { | |
| "epoch": 15.93, | |
| "grad_norm": 0.24994027614593506, | |
| "learning_rate": 0.001, | |
| "loss": 0.1106, | |
| "step": 458 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 0.2185268998146057, | |
| "learning_rate": 0.001, | |
| "loss": 0.0907, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 4.497994899749756, | |
| "eval_runtime": 14.2114, | |
| "eval_samples_per_second": 23.784, | |
| "eval_steps_per_second": 3.026, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 16.07, | |
| "grad_norm": 0.1781373769044876, | |
| "learning_rate": 0.001, | |
| "loss": 0.0698, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 16.14, | |
| "grad_norm": 0.20170117914676666, | |
| "learning_rate": 0.001, | |
| "loss": 0.0763, | |
| "step": 464 | |
| }, | |
| { | |
| "epoch": 16.21, | |
| "grad_norm": 0.20545266568660736, | |
| "learning_rate": 0.001, | |
| "loss": 0.0858, | |
| "step": 466 | |
| }, | |
| { | |
| "epoch": 16.28, | |
| "grad_norm": 0.18228977918624878, | |
| "learning_rate": 0.001, | |
| "loss": 0.0802, | |
| "step": 468 | |
| }, | |
| { | |
| "epoch": 16.35, | |
| "grad_norm": 0.17187969386577606, | |
| "learning_rate": 0.001, | |
| "loss": 0.0803, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 16.42, | |
| "grad_norm": 0.17641624808311462, | |
| "learning_rate": 0.001, | |
| "loss": 0.0796, | |
| "step": 472 | |
| }, | |
| { | |
| "epoch": 16.49, | |
| "grad_norm": 0.19069235026836395, | |
| "learning_rate": 0.001, | |
| "loss": 0.0798, | |
| "step": 474 | |
| }, | |
| { | |
| "epoch": 16.56, | |
| "grad_norm": 0.1968899667263031, | |
| "learning_rate": 0.001, | |
| "loss": 0.081, | |
| "step": 476 | |
| }, | |
| { | |
| "epoch": 16.63, | |
| "grad_norm": 0.196567103266716, | |
| "learning_rate": 0.001, | |
| "loss": 0.0891, | |
| "step": 478 | |
| }, | |
| { | |
| "epoch": 16.7, | |
| "grad_norm": 0.18010011315345764, | |
| "learning_rate": 0.001, | |
| "loss": 0.0795, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 16.77, | |
| "grad_norm": 0.31678447127342224, | |
| "learning_rate": 0.001, | |
| "loss": 0.0819, | |
| "step": 482 | |
| }, | |
| { | |
| "epoch": 16.83, | |
| "grad_norm": 0.20116592943668365, | |
| "learning_rate": 0.001, | |
| "loss": 0.0873, | |
| "step": 484 | |
| }, | |
| { | |
| "epoch": 16.9, | |
| "grad_norm": 0.19425255060195923, | |
| "learning_rate": 0.001, | |
| "loss": 0.0898, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 16.97, | |
| "grad_norm": 0.21240267157554626, | |
| "learning_rate": 0.001, | |
| "loss": 0.0942, | |
| "step": 488 | |
| }, | |
| { | |
| "epoch": 16.97, | |
| "eval_loss": 4.70243501663208, | |
| "eval_runtime": 14.2157, | |
| "eval_samples_per_second": 23.777, | |
| "eval_steps_per_second": 3.025, | |
| "step": 488 | |
| }, | |
| { | |
| "epoch": 17.04, | |
| "grad_norm": 0.16432495415210724, | |
| "learning_rate": 0.001, | |
| "loss": 0.0762, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 17.11, | |
| "grad_norm": 0.19645223021507263, | |
| "learning_rate": 0.001, | |
| "loss": 0.0638, | |
| "step": 492 | |
| }, | |
| { | |
| "epoch": 17.18, | |
| "grad_norm": 0.1714513599872589, | |
| "learning_rate": 0.001, | |
| "loss": 0.0669, | |
| "step": 494 | |
| }, | |
| { | |
| "epoch": 17.25, | |
| "grad_norm": 0.16747209429740906, | |
| "learning_rate": 0.001, | |
| "loss": 0.064, | |
| "step": 496 | |
| }, | |
| { | |
| "epoch": 17.32, | |
| "grad_norm": 0.17507390677928925, | |
| "learning_rate": 0.001, | |
| "loss": 0.0675, | |
| "step": 498 | |
| }, | |
| { | |
| "epoch": 17.39, | |
| "grad_norm": 0.1752365380525589, | |
| "learning_rate": 0.001, | |
| "loss": 0.0716, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 17.46, | |
| "grad_norm": 0.1760423481464386, | |
| "learning_rate": 0.001, | |
| "loss": 0.0736, | |
| "step": 502 | |
| }, | |
| { | |
| "epoch": 17.53, | |
| "grad_norm": 0.17969931662082672, | |
| "learning_rate": 0.001, | |
| "loss": 0.0725, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 17.6, | |
| "grad_norm": 0.20572717487812042, | |
| "learning_rate": 0.001, | |
| "loss": 0.0751, | |
| "step": 506 | |
| }, | |
| { | |
| "epoch": 17.67, | |
| "grad_norm": 0.20842702686786652, | |
| "learning_rate": 0.001, | |
| "loss": 0.0796, | |
| "step": 508 | |
| }, | |
| { | |
| "epoch": 17.74, | |
| "grad_norm": 0.18587857484817505, | |
| "learning_rate": 0.001, | |
| "loss": 0.0757, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 17.81, | |
| "grad_norm": 0.17455922067165375, | |
| "learning_rate": 0.001, | |
| "loss": 0.0792, | |
| "step": 512 | |
| }, | |
| { | |
| "epoch": 17.88, | |
| "grad_norm": 0.181496262550354, | |
| "learning_rate": 0.001, | |
| "loss": 0.0711, | |
| "step": 514 | |
| }, | |
| { | |
| "epoch": 17.95, | |
| "grad_norm": 0.1918957382440567, | |
| "learning_rate": 0.001, | |
| "loss": 0.0765, | |
| "step": 516 | |
| }, | |
| { | |
| "epoch": 17.98, | |
| "eval_loss": 4.348242282867432, | |
| "eval_runtime": 14.2133, | |
| "eval_samples_per_second": 23.78, | |
| "eval_steps_per_second": 3.025, | |
| "step": 517 | |
| }, | |
| { | |
| "epoch": 18.02, | |
| "grad_norm": 0.23215439915657043, | |
| "learning_rate": 0.001, | |
| "loss": 0.0854, | |
| "step": 518 | |
| }, | |
| { | |
| "epoch": 18.09, | |
| "grad_norm": 0.16362574696540833, | |
| "learning_rate": 0.001, | |
| "loss": 0.0636, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 18.16, | |
| "grad_norm": 0.18604953587055206, | |
| "learning_rate": 0.001, | |
| "loss": 0.0632, | |
| "step": 522 | |
| }, | |
| { | |
| "epoch": 18.23, | |
| "grad_norm": 0.20401595532894135, | |
| "learning_rate": 0.001, | |
| "loss": 0.077, | |
| "step": 524 | |
| }, | |
| { | |
| "epoch": 18.3, | |
| "grad_norm": 0.1713324785232544, | |
| "learning_rate": 0.001, | |
| "loss": 0.0743, | |
| "step": 526 | |
| }, | |
| { | |
| "epoch": 18.37, | |
| "grad_norm": 0.1794094294309616, | |
| "learning_rate": 0.001, | |
| "loss": 0.0693, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 18.43, | |
| "grad_norm": 0.1892070323228836, | |
| "learning_rate": 0.001, | |
| "loss": 0.0663, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "grad_norm": 0.1843532919883728, | |
| "learning_rate": 0.001, | |
| "loss": 0.0721, | |
| "step": 532 | |
| }, | |
| { | |
| "epoch": 18.57, | |
| "grad_norm": 0.17645902931690216, | |
| "learning_rate": 0.001, | |
| "loss": 0.0746, | |
| "step": 534 | |
| }, | |
| { | |
| "epoch": 18.64, | |
| "grad_norm": 0.16752366721630096, | |
| "learning_rate": 0.001, | |
| "loss": 0.0712, | |
| "step": 536 | |
| }, | |
| { | |
| "epoch": 18.71, | |
| "grad_norm": 0.16078142821788788, | |
| "learning_rate": 0.001, | |
| "loss": 0.0729, | |
| "step": 538 | |
| }, | |
| { | |
| "epoch": 18.78, | |
| "grad_norm": 0.1775059700012207, | |
| "learning_rate": 0.001, | |
| "loss": 0.0745, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 18.85, | |
| "grad_norm": 0.18710005283355713, | |
| "learning_rate": 0.001, | |
| "loss": 0.0743, | |
| "step": 542 | |
| }, | |
| { | |
| "epoch": 18.92, | |
| "grad_norm": 0.20217396318912506, | |
| "learning_rate": 0.001, | |
| "loss": 0.0761, | |
| "step": 544 | |
| }, | |
| { | |
| "epoch": 18.99, | |
| "grad_norm": 0.19417209923267365, | |
| "learning_rate": 0.001, | |
| "loss": 0.0799, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 18.99, | |
| "eval_loss": 4.538631916046143, | |
| "eval_runtime": 14.2104, | |
| "eval_samples_per_second": 23.785, | |
| "eval_steps_per_second": 3.026, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 19.06, | |
| "grad_norm": 0.16049686074256897, | |
| "learning_rate": 0.001, | |
| "loss": 0.0633, | |
| "step": 548 | |
| }, | |
| { | |
| "epoch": 19.13, | |
| "grad_norm": 0.15315844118595123, | |
| "learning_rate": 0.001, | |
| "loss": 0.0614, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 19.2, | |
| "grad_norm": 0.16441303491592407, | |
| "learning_rate": 0.001, | |
| "loss": 0.0658, | |
| "step": 552 | |
| }, | |
| { | |
| "epoch": 19.27, | |
| "grad_norm": 0.16347071528434753, | |
| "learning_rate": 0.001, | |
| "loss": 0.0551, | |
| "step": 554 | |
| }, | |
| { | |
| "epoch": 19.34, | |
| "grad_norm": 0.16774040460586548, | |
| "learning_rate": 0.001, | |
| "loss": 0.0698, | |
| "step": 556 | |
| }, | |
| { | |
| "epoch": 19.41, | |
| "grad_norm": 0.15695886313915253, | |
| "learning_rate": 0.001, | |
| "loss": 0.063, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 19.48, | |
| "grad_norm": 0.1639881581068039, | |
| "learning_rate": 0.001, | |
| "loss": 0.0649, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 19.55, | |
| "grad_norm": 0.1653515100479126, | |
| "learning_rate": 0.001, | |
| "loss": 0.0592, | |
| "step": 562 | |
| }, | |
| { | |
| "epoch": 19.62, | |
| "grad_norm": 0.1697942465543747, | |
| "learning_rate": 0.001, | |
| "loss": 0.0619, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 19.69, | |
| "grad_norm": 0.18345074355602264, | |
| "learning_rate": 0.001, | |
| "loss": 0.0674, | |
| "step": 566 | |
| }, | |
| { | |
| "epoch": 19.76, | |
| "grad_norm": 0.17060339450836182, | |
| "learning_rate": 0.001, | |
| "loss": 0.0603, | |
| "step": 568 | |
| }, | |
| { | |
| "epoch": 19.83, | |
| "grad_norm": 0.18731752038002014, | |
| "learning_rate": 0.001, | |
| "loss": 0.0668, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 19.9, | |
| "grad_norm": 0.1727019101381302, | |
| "learning_rate": 0.001, | |
| "loss": 0.0717, | |
| "step": 572 | |
| }, | |
| { | |
| "epoch": 19.97, | |
| "grad_norm": 0.18209876120090485, | |
| "learning_rate": 0.001, | |
| "loss": 0.073, | |
| "step": 574 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_loss": 4.588906764984131, | |
| "eval_runtime": 14.2111, | |
| "eval_samples_per_second": 23.784, | |
| "eval_steps_per_second": 3.026, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 20.03, | |
| "grad_norm": 0.15836042165756226, | |
| "learning_rate": 0.001, | |
| "loss": 0.0655, | |
| "step": 576 | |
| }, | |
| { | |
| "epoch": 20.1, | |
| "grad_norm": 0.1645493507385254, | |
| "learning_rate": 0.001, | |
| "loss": 0.0609, | |
| "step": 578 | |
| }, | |
| { | |
| "epoch": 20.17, | |
| "grad_norm": 0.14691436290740967, | |
| "learning_rate": 0.001, | |
| "loss": 0.0533, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 20.24, | |
| "grad_norm": 0.15472760796546936, | |
| "learning_rate": 0.001, | |
| "loss": 0.0596, | |
| "step": 582 | |
| }, | |
| { | |
| "epoch": 20.31, | |
| "grad_norm": 0.14597873389720917, | |
| "learning_rate": 0.001, | |
| "loss": 0.0548, | |
| "step": 584 | |
| }, | |
| { | |
| "epoch": 20.38, | |
| "grad_norm": 0.14974112808704376, | |
| "learning_rate": 0.001, | |
| "loss": 0.057, | |
| "step": 586 | |
| }, | |
| { | |
| "epoch": 20.45, | |
| "grad_norm": 0.16359882056713104, | |
| "learning_rate": 0.001, | |
| "loss": 0.0597, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 20.52, | |
| "grad_norm": 0.15623408555984497, | |
| "learning_rate": 0.001, | |
| "loss": 0.0581, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 20.59, | |
| "grad_norm": 0.16072715818881989, | |
| "learning_rate": 0.001, | |
| "loss": 0.0577, | |
| "step": 592 | |
| }, | |
| { | |
| "epoch": 20.66, | |
| "grad_norm": 0.17041383683681488, | |
| "learning_rate": 0.001, | |
| "loss": 0.0601, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 20.73, | |
| "grad_norm": 0.182576522231102, | |
| "learning_rate": 0.001, | |
| "loss": 0.0614, | |
| "step": 596 | |
| }, | |
| { | |
| "epoch": 20.8, | |
| "grad_norm": 0.17546887695789337, | |
| "learning_rate": 0.001, | |
| "loss": 0.0658, | |
| "step": 598 | |
| }, | |
| { | |
| "epoch": 20.87, | |
| "grad_norm": 0.19615040719509125, | |
| "learning_rate": 0.001, | |
| "loss": 0.061, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 20.94, | |
| "grad_norm": 0.2895524799823761, | |
| "learning_rate": 0.001, | |
| "loss": 0.0825, | |
| "step": 602 | |
| }, | |
| { | |
| "epoch": 20.97, | |
| "eval_loss": 4.681673049926758, | |
| "eval_runtime": 14.2047, | |
| "eval_samples_per_second": 23.795, | |
| "eval_steps_per_second": 3.027, | |
| "step": 603 | |
| }, | |
| { | |
| "epoch": 21.01, | |
| "grad_norm": 0.3042687177658081, | |
| "learning_rate": 0.001, | |
| "loss": 0.102, | |
| "step": 604 | |
| }, | |
| { | |
| "epoch": 21.08, | |
| "grad_norm": 0.14991188049316406, | |
| "learning_rate": 0.001, | |
| "loss": 0.0585, | |
| "step": 606 | |
| }, | |
| { | |
| "epoch": 21.15, | |
| "grad_norm": 0.13689693808555603, | |
| "learning_rate": 0.001, | |
| "loss": 0.0546, | |
| "step": 608 | |
| }, | |
| { | |
| "epoch": 21.22, | |
| "grad_norm": 0.14480513334274292, | |
| "learning_rate": 0.001, | |
| "loss": 0.0533, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 21.29, | |
| "grad_norm": 0.148710235953331, | |
| "learning_rate": 0.001, | |
| "loss": 0.0543, | |
| "step": 612 | |
| }, | |
| { | |
| "epoch": 21.36, | |
| "grad_norm": 0.14531894028186798, | |
| "learning_rate": 0.001, | |
| "loss": 0.0528, | |
| "step": 614 | |
| }, | |
| { | |
| "epoch": 21.43, | |
| "grad_norm": 0.14758220314979553, | |
| "learning_rate": 0.001, | |
| "loss": 0.0536, | |
| "step": 616 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "grad_norm": 0.1422356367111206, | |
| "learning_rate": 0.001, | |
| "loss": 0.0537, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 21.57, | |
| "grad_norm": 0.16927896440029144, | |
| "learning_rate": 0.001, | |
| "loss": 0.0551, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 21.63, | |
| "grad_norm": 0.18368251621723175, | |
| "learning_rate": 0.001, | |
| "loss": 0.0589, | |
| "step": 622 | |
| }, | |
| { | |
| "epoch": 21.7, | |
| "grad_norm": 0.16162264347076416, | |
| "learning_rate": 0.001, | |
| "loss": 0.0639, | |
| "step": 624 | |
| }, | |
| { | |
| "epoch": 21.77, | |
| "grad_norm": 0.1610013097524643, | |
| "learning_rate": 0.001, | |
| "loss": 0.0604, | |
| "step": 626 | |
| }, | |
| { | |
| "epoch": 21.84, | |
| "grad_norm": 0.15656866133213043, | |
| "learning_rate": 0.001, | |
| "loss": 0.0603, | |
| "step": 628 | |
| }, | |
| { | |
| "epoch": 21.91, | |
| "grad_norm": 0.15664397180080414, | |
| "learning_rate": 0.001, | |
| "loss": 0.0589, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 21.98, | |
| "grad_norm": 0.1484573483467102, | |
| "learning_rate": 0.001, | |
| "loss": 0.0616, | |
| "step": 632 | |
| }, | |
| { | |
| "epoch": 21.98, | |
| "eval_loss": 5.026252746582031, | |
| "eval_runtime": 14.2151, | |
| "eval_samples_per_second": 23.778, | |
| "eval_steps_per_second": 3.025, | |
| "step": 632 | |
| }, | |
| { | |
| "epoch": 22.05, | |
| "grad_norm": 0.16003428399562836, | |
| "learning_rate": 0.001, | |
| "loss": 0.0579, | |
| "step": 634 | |
| }, | |
| { | |
| "epoch": 22.12, | |
| "grad_norm": 0.14746786653995514, | |
| "learning_rate": 0.001, | |
| "loss": 0.0503, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 22.19, | |
| "grad_norm": 0.1616966724395752, | |
| "learning_rate": 0.001, | |
| "loss": 0.0518, | |
| "step": 638 | |
| }, | |
| { | |
| "epoch": 22.26, | |
| "grad_norm": 0.14375324547290802, | |
| "learning_rate": 0.001, | |
| "loss": 0.0501, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 22.33, | |
| "grad_norm": 0.14273105561733246, | |
| "learning_rate": 0.001, | |
| "loss": 0.0543, | |
| "step": 642 | |
| }, | |
| { | |
| "epoch": 22.4, | |
| "grad_norm": 0.14281895756721497, | |
| "learning_rate": 0.001, | |
| "loss": 0.0572, | |
| "step": 644 | |
| }, | |
| { | |
| "epoch": 22.47, | |
| "grad_norm": 0.1508861482143402, | |
| "learning_rate": 0.001, | |
| "loss": 0.0538, | |
| "step": 646 | |
| }, | |
| { | |
| "epoch": 22.54, | |
| "grad_norm": 0.1677195429801941, | |
| "learning_rate": 0.001, | |
| "loss": 0.052, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 22.61, | |
| "grad_norm": 0.16616381704807281, | |
| "learning_rate": 0.001, | |
| "loss": 0.0569, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 22.68, | |
| "grad_norm": 0.159612774848938, | |
| "learning_rate": 0.001, | |
| "loss": 0.0585, | |
| "step": 652 | |
| }, | |
| { | |
| "epoch": 22.75, | |
| "grad_norm": 0.14692574739456177, | |
| "learning_rate": 0.001, | |
| "loss": 0.0559, | |
| "step": 654 | |
| }, | |
| { | |
| "epoch": 22.82, | |
| "grad_norm": 0.14404280483722687, | |
| "learning_rate": 0.001, | |
| "loss": 0.0614, | |
| "step": 656 | |
| }, | |
| { | |
| "epoch": 22.89, | |
| "grad_norm": 0.16935443878173828, | |
| "learning_rate": 0.001, | |
| "loss": 0.0531, | |
| "step": 658 | |
| }, | |
| { | |
| "epoch": 22.96, | |
| "grad_norm": 0.16444338858127594, | |
| "learning_rate": 0.001, | |
| "loss": 0.0677, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 22.99, | |
| "eval_loss": 4.580361843109131, | |
| "eval_runtime": 14.2193, | |
| "eval_samples_per_second": 23.77, | |
| "eval_steps_per_second": 3.024, | |
| "step": 661 | |
| }, | |
| { | |
| "epoch": 23.03, | |
| "grad_norm": 0.1523355394601822, | |
| "learning_rate": 0.001, | |
| "loss": 0.056, | |
| "step": 662 | |
| }, | |
| { | |
| "epoch": 23.1, | |
| "grad_norm": 0.13197599351406097, | |
| "learning_rate": 0.001, | |
| "loss": 0.0505, | |
| "step": 664 | |
| }, | |
| { | |
| "epoch": 23.17, | |
| "grad_norm": 0.1436968594789505, | |
| "learning_rate": 0.001, | |
| "loss": 0.0459, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 23.23, | |
| "grad_norm": 0.15447324514389038, | |
| "learning_rate": 0.001, | |
| "loss": 0.0484, | |
| "step": 668 | |
| }, | |
| { | |
| "epoch": 23.3, | |
| "grad_norm": 0.1536988466978073, | |
| "learning_rate": 0.001, | |
| "loss": 0.0523, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 23.37, | |
| "grad_norm": 0.14964550733566284, | |
| "learning_rate": 0.001, | |
| "loss": 0.0523, | |
| "step": 672 | |
| }, | |
| { | |
| "epoch": 23.44, | |
| "grad_norm": 0.14874936640262604, | |
| "learning_rate": 0.001, | |
| "loss": 0.053, | |
| "step": 674 | |
| }, | |
| { | |
| "epoch": 23.51, | |
| "grad_norm": 0.14731401205062866, | |
| "learning_rate": 0.001, | |
| "loss": 0.0534, | |
| "step": 676 | |
| }, | |
| { | |
| "epoch": 23.58, | |
| "grad_norm": 0.15508398413658142, | |
| "learning_rate": 0.001, | |
| "loss": 0.0538, | |
| "step": 678 | |
| }, | |
| { | |
| "epoch": 23.65, | |
| "grad_norm": 0.16380004584789276, | |
| "learning_rate": 0.001, | |
| "loss": 0.0539, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 23.72, | |
| "grad_norm": 0.38461077213287354, | |
| "learning_rate": 0.001, | |
| "loss": 0.0609, | |
| "step": 682 | |
| }, | |
| { | |
| "epoch": 23.79, | |
| "grad_norm": 0.1609809696674347, | |
| "learning_rate": 0.001, | |
| "loss": 0.0553, | |
| "step": 684 | |
| }, | |
| { | |
| "epoch": 23.86, | |
| "grad_norm": 0.1482686847448349, | |
| "learning_rate": 0.001, | |
| "loss": 0.0576, | |
| "step": 686 | |
| }, | |
| { | |
| "epoch": 23.93, | |
| "grad_norm": 0.16069763898849487, | |
| "learning_rate": 0.001, | |
| "loss": 0.0569, | |
| "step": 688 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "grad_norm": 0.16612602770328522, | |
| "learning_rate": 0.001, | |
| "loss": 0.0571, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_loss": 4.839931488037109, | |
| "eval_runtime": 14.2054, | |
| "eval_samples_per_second": 23.794, | |
| "eval_steps_per_second": 3.027, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 24.07, | |
| "grad_norm": 0.14117293059825897, | |
| "learning_rate": 0.001, | |
| "loss": 0.0473, | |
| "step": 692 | |
| }, | |
| { | |
| "epoch": 24.14, | |
| "grad_norm": 0.13660480082035065, | |
| "learning_rate": 0.001, | |
| "loss": 0.0462, | |
| "step": 694 | |
| }, | |
| { | |
| "epoch": 24.21, | |
| "grad_norm": 0.13649675250053406, | |
| "learning_rate": 0.001, | |
| "loss": 0.0436, | |
| "step": 696 | |
| }, | |
| { | |
| "epoch": 24.28, | |
| "grad_norm": 0.13140219449996948, | |
| "learning_rate": 0.001, | |
| "loss": 0.0496, | |
| "step": 698 | |
| }, | |
| { | |
| "epoch": 24.35, | |
| "grad_norm": 0.13666340708732605, | |
| "learning_rate": 0.001, | |
| "loss": 0.0453, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 24.42, | |
| "grad_norm": 0.14786505699157715, | |
| "learning_rate": 0.001, | |
| "loss": 0.0458, | |
| "step": 702 | |
| }, | |
| { | |
| "epoch": 24.49, | |
| "grad_norm": 0.14177779853343964, | |
| "learning_rate": 0.001, | |
| "loss": 0.0454, | |
| "step": 704 | |
| }, | |
| { | |
| "epoch": 24.56, | |
| "grad_norm": 0.15088017284870148, | |
| "learning_rate": 0.001, | |
| "loss": 0.0486, | |
| "step": 706 | |
| }, | |
| { | |
| "epoch": 24.63, | |
| "grad_norm": 0.1343182623386383, | |
| "learning_rate": 0.001, | |
| "loss": 0.0466, | |
| "step": 708 | |
| }, | |
| { | |
| "epoch": 24.7, | |
| "grad_norm": 0.14765577018260956, | |
| "learning_rate": 0.001, | |
| "loss": 0.051, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 24.77, | |
| "grad_norm": 0.1491304486989975, | |
| "learning_rate": 0.001, | |
| "loss": 0.0497, | |
| "step": 712 | |
| }, | |
| { | |
| "epoch": 24.83, | |
| "grad_norm": 0.1482744961977005, | |
| "learning_rate": 0.001, | |
| "loss": 0.0525, | |
| "step": 714 | |
| }, | |
| { | |
| "epoch": 24.9, | |
| "grad_norm": 0.15700866281986237, | |
| "learning_rate": 0.001, | |
| "loss": 0.0497, | |
| "step": 716 | |
| }, | |
| { | |
| "epoch": 24.97, | |
| "grad_norm": 0.15650177001953125, | |
| "learning_rate": 0.001, | |
| "loss": 0.0525, | |
| "step": 718 | |
| }, | |
| { | |
| "epoch": 24.97, | |
| "eval_loss": 4.934982776641846, | |
| "eval_runtime": 14.2072, | |
| "eval_samples_per_second": 23.791, | |
| "eval_steps_per_second": 3.027, | |
| "step": 718 | |
| }, | |
| { | |
| "epoch": 25.04, | |
| "grad_norm": 0.15254813432693481, | |
| "learning_rate": 0.001, | |
| "loss": 0.0501, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 25.11, | |
| "grad_norm": 0.1353287696838379, | |
| "learning_rate": 0.001, | |
| "loss": 0.0471, | |
| "step": 722 | |
| }, | |
| { | |
| "epoch": 25.18, | |
| "grad_norm": 0.155950665473938, | |
| "learning_rate": 0.001, | |
| "loss": 0.0478, | |
| "step": 724 | |
| }, | |
| { | |
| "epoch": 25.25, | |
| "grad_norm": 0.14119938015937805, | |
| "learning_rate": 0.001, | |
| "loss": 0.0484, | |
| "step": 726 | |
| }, | |
| { | |
| "epoch": 25.32, | |
| "grad_norm": 0.14679110050201416, | |
| "learning_rate": 0.001, | |
| "loss": 0.0432, | |
| "step": 728 | |
| }, | |
| { | |
| "epoch": 25.39, | |
| "grad_norm": 0.13392671942710876, | |
| "learning_rate": 0.001, | |
| "loss": 0.0486, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 25.46, | |
| "grad_norm": 0.13733159005641937, | |
| "learning_rate": 0.001, | |
| "loss": 0.0451, | |
| "step": 732 | |
| }, | |
| { | |
| "epoch": 25.53, | |
| "grad_norm": 0.13778570294380188, | |
| "learning_rate": 0.001, | |
| "loss": 0.0452, | |
| "step": 734 | |
| }, | |
| { | |
| "epoch": 25.6, | |
| "grad_norm": 0.15224093198776245, | |
| "learning_rate": 0.001, | |
| "loss": 0.0469, | |
| "step": 736 | |
| }, | |
| { | |
| "epoch": 25.67, | |
| "grad_norm": 0.15857195854187012, | |
| "learning_rate": 0.001, | |
| "loss": 0.0489, | |
| "step": 738 | |
| }, | |
| { | |
| "epoch": 25.74, | |
| "grad_norm": 0.15234865248203278, | |
| "learning_rate": 0.001, | |
| "loss": 0.0536, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 25.81, | |
| "grad_norm": 0.17310313880443573, | |
| "learning_rate": 0.001, | |
| "loss": 0.0518, | |
| "step": 742 | |
| }, | |
| { | |
| "epoch": 25.88, | |
| "grad_norm": 0.23332546651363373, | |
| "learning_rate": 0.001, | |
| "loss": 0.0601, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 25.95, | |
| "grad_norm": 0.22406938672065735, | |
| "learning_rate": 0.001, | |
| "loss": 0.081, | |
| "step": 746 | |
| }, | |
| { | |
| "epoch": 25.98, | |
| "eval_loss": 4.690272331237793, | |
| "eval_runtime": 14.2141, | |
| "eval_samples_per_second": 23.779, | |
| "eval_steps_per_second": 3.025, | |
| "step": 747 | |
| }, | |
| { | |
| "epoch": 26.02, | |
| "grad_norm": 0.14596611261367798, | |
| "learning_rate": 0.001, | |
| "loss": 0.0551, | |
| "step": 748 | |
| }, | |
| { | |
| "epoch": 26.09, | |
| "grad_norm": 0.11857102066278458, | |
| "learning_rate": 0.001, | |
| "loss": 0.0398, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 26.16, | |
| "grad_norm": 0.13823005557060242, | |
| "learning_rate": 0.001, | |
| "loss": 0.0424, | |
| "step": 752 | |
| }, | |
| { | |
| "epoch": 26.23, | |
| "grad_norm": 0.12586718797683716, | |
| "learning_rate": 0.001, | |
| "loss": 0.0422, | |
| "step": 754 | |
| }, | |
| { | |
| "epoch": 26.3, | |
| "grad_norm": 0.12402280420064926, | |
| "learning_rate": 0.001, | |
| "loss": 0.04, | |
| "step": 756 | |
| }, | |
| { | |
| "epoch": 26.37, | |
| "grad_norm": 0.1546175628900528, | |
| "learning_rate": 0.001, | |
| "loss": 0.0434, | |
| "step": 758 | |
| }, | |
| { | |
| "epoch": 26.43, | |
| "grad_norm": 0.15831632912158966, | |
| "learning_rate": 0.001, | |
| "loss": 0.041, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "grad_norm": 0.1380414068698883, | |
| "learning_rate": 0.001, | |
| "loss": 0.0411, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 26.57, | |
| "grad_norm": 0.13040709495544434, | |
| "learning_rate": 0.001, | |
| "loss": 0.0412, | |
| "step": 764 | |
| }, | |
| { | |
| "epoch": 26.64, | |
| "grad_norm": 0.14285586774349213, | |
| "learning_rate": 0.001, | |
| "loss": 0.0426, | |
| "step": 766 | |
| }, | |
| { | |
| "epoch": 26.71, | |
| "grad_norm": 0.14807988703250885, | |
| "learning_rate": 0.001, | |
| "loss": 0.045, | |
| "step": 768 | |
| }, | |
| { | |
| "epoch": 26.78, | |
| "grad_norm": 0.14204862713813782, | |
| "learning_rate": 0.001, | |
| "loss": 0.0517, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 26.85, | |
| "grad_norm": 0.13837137818336487, | |
| "learning_rate": 0.001, | |
| "loss": 0.0452, | |
| "step": 772 | |
| }, | |
| { | |
| "epoch": 26.92, | |
| "grad_norm": 0.14084497094154358, | |
| "learning_rate": 0.001, | |
| "loss": 0.0475, | |
| "step": 774 | |
| }, | |
| { | |
| "epoch": 26.99, | |
| "grad_norm": 0.13428126275539398, | |
| "learning_rate": 0.001, | |
| "loss": 0.0505, | |
| "step": 776 | |
| }, | |
| { | |
| "epoch": 26.99, | |
| "eval_loss": 5.000490665435791, | |
| "eval_runtime": 14.2197, | |
| "eval_samples_per_second": 23.77, | |
| "eval_steps_per_second": 3.024, | |
| "step": 776 | |
| }, | |
| { | |
| "epoch": 27.06, | |
| "grad_norm": 0.1252642720937729, | |
| "learning_rate": 0.001, | |
| "loss": 0.0372, | |
| "step": 778 | |
| }, | |
| { | |
| "epoch": 27.13, | |
| "grad_norm": 0.1609179526567459, | |
| "learning_rate": 0.001, | |
| "loss": 0.0422, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 27.2, | |
| "grad_norm": 0.15185533463954926, | |
| "learning_rate": 0.001, | |
| "loss": 0.0427, | |
| "step": 782 | |
| }, | |
| { | |
| "epoch": 27.27, | |
| "grad_norm": 0.1398567408323288, | |
| "learning_rate": 0.001, | |
| "loss": 0.0452, | |
| "step": 784 | |
| }, | |
| { | |
| "epoch": 27.34, | |
| "grad_norm": 0.13516364991664886, | |
| "learning_rate": 0.001, | |
| "loss": 0.0431, | |
| "step": 786 | |
| }, | |
| { | |
| "epoch": 27.41, | |
| "grad_norm": 0.1388152688741684, | |
| "learning_rate": 0.001, | |
| "loss": 0.0424, | |
| "step": 788 | |
| }, | |
| { | |
| "epoch": 27.48, | |
| "grad_norm": 0.14043325185775757, | |
| "learning_rate": 0.001, | |
| "loss": 0.0428, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 27.55, | |
| "grad_norm": 0.14878694713115692, | |
| "learning_rate": 0.001, | |
| "loss": 0.0473, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 27.62, | |
| "grad_norm": 0.15647174417972565, | |
| "learning_rate": 0.001, | |
| "loss": 0.0448, | |
| "step": 794 | |
| }, | |
| { | |
| "epoch": 27.69, | |
| "grad_norm": 0.1453557014465332, | |
| "learning_rate": 0.001, | |
| "loss": 0.0441, | |
| "step": 796 | |
| }, | |
| { | |
| "epoch": 27.76, | |
| "grad_norm": 0.13821879029273987, | |
| "learning_rate": 0.001, | |
| "loss": 0.0473, | |
| "step": 798 | |
| }, | |
| { | |
| "epoch": 27.83, | |
| "grad_norm": 0.1780141144990921, | |
| "learning_rate": 0.001, | |
| "loss": 0.048, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 27.9, | |
| "grad_norm": 0.16689875721931458, | |
| "learning_rate": 0.001, | |
| "loss": 0.0568, | |
| "step": 802 | |
| }, | |
| { | |
| "epoch": 27.97, | |
| "grad_norm": 0.16479206085205078, | |
| "learning_rate": 0.001, | |
| "loss": 0.0576, | |
| "step": 804 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_loss": 5.019590377807617, | |
| "eval_runtime": 14.2181, | |
| "eval_samples_per_second": 23.772, | |
| "eval_steps_per_second": 3.024, | |
| "step": 805 | |
| }, | |
| { | |
| "epoch": 28.03, | |
| "grad_norm": 0.17976313829421997, | |
| "learning_rate": 0.001, | |
| "loss": 0.0586, | |
| "step": 806 | |
| }, | |
| { | |
| "epoch": 28.1, | |
| "grad_norm": 0.15373440086841583, | |
| "learning_rate": 0.001, | |
| "loss": 0.0479, | |
| "step": 808 | |
| }, | |
| { | |
| "epoch": 28.17, | |
| "grad_norm": 0.13314908742904663, | |
| "learning_rate": 0.001, | |
| "loss": 0.044, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 28.24, | |
| "grad_norm": 0.12571971118450165, | |
| "learning_rate": 0.001, | |
| "loss": 0.0382, | |
| "step": 812 | |
| }, | |
| { | |
| "epoch": 28.31, | |
| "grad_norm": 0.1362116038799286, | |
| "learning_rate": 0.001, | |
| "loss": 0.0412, | |
| "step": 814 | |
| }, | |
| { | |
| "epoch": 28.38, | |
| "grad_norm": 0.1244189664721489, | |
| "learning_rate": 0.001, | |
| "loss": 0.0422, | |
| "step": 816 | |
| }, | |
| { | |
| "epoch": 28.45, | |
| "grad_norm": 0.1321047842502594, | |
| "learning_rate": 0.001, | |
| "loss": 0.0419, | |
| "step": 818 | |
| }, | |
| { | |
| "epoch": 28.52, | |
| "grad_norm": 0.14995931088924408, | |
| "learning_rate": 0.001, | |
| "loss": 0.0453, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 28.59, | |
| "grad_norm": 0.1319851577281952, | |
| "learning_rate": 0.001, | |
| "loss": 0.0428, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 28.66, | |
| "grad_norm": 0.14392071962356567, | |
| "learning_rate": 0.001, | |
| "loss": 0.0417, | |
| "step": 824 | |
| }, | |
| { | |
| "epoch": 28.73, | |
| "grad_norm": 0.13848307728767395, | |
| "learning_rate": 0.001, | |
| "loss": 0.0445, | |
| "step": 826 | |
| }, | |
| { | |
| "epoch": 28.8, | |
| "grad_norm": 0.1495485007762909, | |
| "learning_rate": 0.001, | |
| "loss": 0.0451, | |
| "step": 828 | |
| }, | |
| { | |
| "epoch": 28.87, | |
| "grad_norm": 0.13798055052757263, | |
| "learning_rate": 0.001, | |
| "loss": 0.0456, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 28.94, | |
| "grad_norm": 0.1452612578868866, | |
| "learning_rate": 0.001, | |
| "loss": 0.0448, | |
| "step": 832 | |
| }, | |
| { | |
| "epoch": 28.97, | |
| "eval_loss": 5.109987735748291, | |
| "eval_runtime": 14.2104, | |
| "eval_samples_per_second": 23.785, | |
| "eval_steps_per_second": 3.026, | |
| "step": 833 | |
| }, | |
| { | |
| "epoch": 29.01, | |
| "grad_norm": 0.17332157492637634, | |
| "learning_rate": 0.001, | |
| "loss": 0.0438, | |
| "step": 834 | |
| }, | |
| { | |
| "epoch": 29.08, | |
| "grad_norm": 0.12759405374526978, | |
| "learning_rate": 0.001, | |
| "loss": 0.0391, | |
| "step": 836 | |
| }, | |
| { | |
| "epoch": 29.15, | |
| "grad_norm": 0.13717012107372284, | |
| "learning_rate": 0.001, | |
| "loss": 0.0392, | |
| "step": 838 | |
| }, | |
| { | |
| "epoch": 29.22, | |
| "grad_norm": 0.12544453144073486, | |
| "learning_rate": 0.001, | |
| "loss": 0.0373, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 29.29, | |
| "grad_norm": 0.12997865676879883, | |
| "learning_rate": 0.001, | |
| "loss": 0.0403, | |
| "step": 842 | |
| }, | |
| { | |
| "epoch": 29.36, | |
| "grad_norm": 0.1252465397119522, | |
| "learning_rate": 0.001, | |
| "loss": 0.0355, | |
| "step": 844 | |
| }, | |
| { | |
| "epoch": 29.43, | |
| "grad_norm": 0.13186001777648926, | |
| "learning_rate": 0.001, | |
| "loss": 0.046, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "grad_norm": 0.1309279203414917, | |
| "learning_rate": 0.001, | |
| "loss": 0.0423, | |
| "step": 848 | |
| }, | |
| { | |
| "epoch": 29.57, | |
| "grad_norm": 0.13001705706119537, | |
| "learning_rate": 0.001, | |
| "loss": 0.0401, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 29.63, | |
| "grad_norm": 0.13039255142211914, | |
| "learning_rate": 0.001, | |
| "loss": 0.0396, | |
| "step": 852 | |
| }, | |
| { | |
| "epoch": 29.7, | |
| "grad_norm": 0.13635265827178955, | |
| "learning_rate": 0.001, | |
| "loss": 0.0426, | |
| "step": 854 | |
| }, | |
| { | |
| "epoch": 29.77, | |
| "grad_norm": 0.16096022725105286, | |
| "learning_rate": 0.001, | |
| "loss": 0.0444, | |
| "step": 856 | |
| }, | |
| { | |
| "epoch": 29.84, | |
| "grad_norm": 0.12575644254684448, | |
| "learning_rate": 0.001, | |
| "loss": 0.0427, | |
| "step": 858 | |
| }, | |
| { | |
| "epoch": 29.91, | |
| "grad_norm": 0.13646484911441803, | |
| "learning_rate": 0.001, | |
| "loss": 0.0442, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 29.98, | |
| "grad_norm": 0.13415445387363434, | |
| "learning_rate": 0.001, | |
| "loss": 0.0457, | |
| "step": 862 | |
| }, | |
| { | |
| "epoch": 29.98, | |
| "eval_loss": 5.0008440017700195, | |
| "eval_runtime": 14.2056, | |
| "eval_samples_per_second": 23.793, | |
| "eval_steps_per_second": 3.027, | |
| "step": 862 | |
| }, | |
| { | |
| "epoch": 30.05, | |
| "grad_norm": 0.12284772843122482, | |
| "learning_rate": 0.001, | |
| "loss": 0.0331, | |
| "step": 864 | |
| }, | |
| { | |
| "epoch": 30.12, | |
| "grad_norm": 0.12438986450433731, | |
| "learning_rate": 0.001, | |
| "loss": 0.0372, | |
| "step": 866 | |
| }, | |
| { | |
| "epoch": 30.19, | |
| "grad_norm": 0.12020161747932434, | |
| "learning_rate": 0.001, | |
| "loss": 0.0366, | |
| "step": 868 | |
| }, | |
| { | |
| "epoch": 30.26, | |
| "grad_norm": 0.12868288159370422, | |
| "learning_rate": 0.001, | |
| "loss": 0.0384, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 30.33, | |
| "grad_norm": 0.1276613026857376, | |
| "learning_rate": 0.001, | |
| "loss": 0.0415, | |
| "step": 872 | |
| }, | |
| { | |
| "epoch": 30.4, | |
| "grad_norm": 0.13801202178001404, | |
| "learning_rate": 0.001, | |
| "loss": 0.0403, | |
| "step": 874 | |
| }, | |
| { | |
| "epoch": 30.47, | |
| "grad_norm": 0.1174420416355133, | |
| "learning_rate": 0.001, | |
| "loss": 0.0389, | |
| "step": 876 | |
| }, | |
| { | |
| "epoch": 30.54, | |
| "grad_norm": 0.11008256673812866, | |
| "learning_rate": 0.001, | |
| "loss": 0.0342, | |
| "step": 878 | |
| }, | |
| { | |
| "epoch": 30.61, | |
| "grad_norm": 0.12188894301652908, | |
| "learning_rate": 0.001, | |
| "loss": 0.0382, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 30.68, | |
| "grad_norm": 0.12297231703996658, | |
| "learning_rate": 0.001, | |
| "loss": 0.0382, | |
| "step": 882 | |
| }, | |
| { | |
| "epoch": 30.75, | |
| "grad_norm": 0.12277786433696747, | |
| "learning_rate": 0.001, | |
| "loss": 0.0381, | |
| "step": 884 | |
| }, | |
| { | |
| "epoch": 30.82, | |
| "grad_norm": 0.13909707963466644, | |
| "learning_rate": 0.001, | |
| "loss": 0.0385, | |
| "step": 886 | |
| }, | |
| { | |
| "epoch": 30.89, | |
| "grad_norm": 0.13425001502037048, | |
| "learning_rate": 0.001, | |
| "loss": 0.0424, | |
| "step": 888 | |
| }, | |
| { | |
| "epoch": 30.96, | |
| "grad_norm": 0.14270208775997162, | |
| "learning_rate": 0.001, | |
| "loss": 0.0442, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 30.99, | |
| "eval_loss": 5.50925874710083, | |
| "eval_runtime": 14.2033, | |
| "eval_samples_per_second": 23.797, | |
| "eval_steps_per_second": 3.027, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 31.03, | |
| "grad_norm": 0.14988122880458832, | |
| "learning_rate": 0.001, | |
| "loss": 0.0391, | |
| "step": 892 | |
| }, | |
| { | |
| "epoch": 31.1, | |
| "grad_norm": 0.12136206030845642, | |
| "learning_rate": 0.001, | |
| "loss": 0.0368, | |
| "step": 894 | |
| }, | |
| { | |
| "epoch": 31.17, | |
| "grad_norm": 0.1474607139825821, | |
| "learning_rate": 0.001, | |
| "loss": 0.0366, | |
| "step": 896 | |
| }, | |
| { | |
| "epoch": 31.23, | |
| "grad_norm": 0.1664348542690277, | |
| "learning_rate": 0.001, | |
| "loss": 0.0364, | |
| "step": 898 | |
| }, | |
| { | |
| "epoch": 31.3, | |
| "grad_norm": 0.12352883070707321, | |
| "learning_rate": 0.001, | |
| "loss": 0.0368, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 31.37, | |
| "grad_norm": 0.1317415088415146, | |
| "learning_rate": 0.001, | |
| "loss": 0.0344, | |
| "step": 902 | |
| }, | |
| { | |
| "epoch": 31.44, | |
| "grad_norm": 0.12790362536907196, | |
| "learning_rate": 0.001, | |
| "loss": 0.034, | |
| "step": 904 | |
| }, | |
| { | |
| "epoch": 31.51, | |
| "grad_norm": 0.13639821112155914, | |
| "learning_rate": 0.001, | |
| "loss": 0.0385, | |
| "step": 906 | |
| }, | |
| { | |
| "epoch": 31.58, | |
| "grad_norm": 0.14075782895088196, | |
| "learning_rate": 0.001, | |
| "loss": 0.0414, | |
| "step": 908 | |
| }, | |
| { | |
| "epoch": 31.65, | |
| "grad_norm": 0.1388426125049591, | |
| "learning_rate": 0.001, | |
| "loss": 0.0423, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 31.72, | |
| "grad_norm": 0.1304369866847992, | |
| "learning_rate": 0.001, | |
| "loss": 0.0418, | |
| "step": 912 | |
| }, | |
| { | |
| "epoch": 31.79, | |
| "grad_norm": 0.13760504126548767, | |
| "learning_rate": 0.001, | |
| "loss": 0.0438, | |
| "step": 914 | |
| }, | |
| { | |
| "epoch": 31.86, | |
| "grad_norm": 0.13388106226921082, | |
| "learning_rate": 0.001, | |
| "loss": 0.0442, | |
| "step": 916 | |
| }, | |
| { | |
| "epoch": 31.93, | |
| "grad_norm": 0.13234779238700867, | |
| "learning_rate": 0.001, | |
| "loss": 0.0403, | |
| "step": 918 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "grad_norm": 0.12893211841583252, | |
| "learning_rate": 0.001, | |
| "loss": 0.0391, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_loss": 5.429612159729004, | |
| "eval_runtime": 14.2128, | |
| "eval_samples_per_second": 23.781, | |
| "eval_steps_per_second": 3.025, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 32.07, | |
| "grad_norm": 0.12455160915851593, | |
| "learning_rate": 0.001, | |
| "loss": 0.0343, | |
| "step": 922 | |
| }, | |
| { | |
| "epoch": 32.14, | |
| "grad_norm": 0.13458769023418427, | |
| "learning_rate": 0.001, | |
| "loss": 0.0358, | |
| "step": 924 | |
| }, | |
| { | |
| "epoch": 32.21, | |
| "grad_norm": 0.11662837117910385, | |
| "learning_rate": 0.001, | |
| "loss": 0.0359, | |
| "step": 926 | |
| }, | |
| { | |
| "epoch": 32.28, | |
| "grad_norm": 0.1250811070203781, | |
| "learning_rate": 0.001, | |
| "loss": 0.0366, | |
| "step": 928 | |
| }, | |
| { | |
| "epoch": 32.35, | |
| "grad_norm": 0.1264219582080841, | |
| "learning_rate": 0.001, | |
| "loss": 0.0374, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 32.42, | |
| "grad_norm": 0.12272246927022934, | |
| "learning_rate": 0.001, | |
| "loss": 0.0378, | |
| "step": 932 | |
| }, | |
| { | |
| "epoch": 32.49, | |
| "grad_norm": 0.12346846610307693, | |
| "learning_rate": 0.001, | |
| "loss": 0.0387, | |
| "step": 934 | |
| }, | |
| { | |
| "epoch": 32.56, | |
| "grad_norm": 0.12550891935825348, | |
| "learning_rate": 0.001, | |
| "loss": 0.0355, | |
| "step": 936 | |
| }, | |
| { | |
| "epoch": 32.63, | |
| "grad_norm": 0.13145896792411804, | |
| "learning_rate": 0.001, | |
| "loss": 0.0371, | |
| "step": 938 | |
| }, | |
| { | |
| "epoch": 32.7, | |
| "grad_norm": 0.12549975514411926, | |
| "learning_rate": 0.001, | |
| "loss": 0.038, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 32.77, | |
| "grad_norm": 0.13180097937583923, | |
| "learning_rate": 0.001, | |
| "loss": 0.0361, | |
| "step": 942 | |
| }, | |
| { | |
| "epoch": 32.83, | |
| "grad_norm": 0.1240687221288681, | |
| "learning_rate": 0.001, | |
| "loss": 0.0364, | |
| "step": 944 | |
| }, | |
| { | |
| "epoch": 32.9, | |
| "grad_norm": 0.14110788702964783, | |
| "learning_rate": 0.001, | |
| "loss": 0.0421, | |
| "step": 946 | |
| }, | |
| { | |
| "epoch": 32.97, | |
| "grad_norm": 0.14410488307476044, | |
| "learning_rate": 0.001, | |
| "loss": 0.0392, | |
| "step": 948 | |
| }, | |
| { | |
| "epoch": 32.97, | |
| "eval_loss": 5.23565673828125, | |
| "eval_runtime": 14.2111, | |
| "eval_samples_per_second": 23.784, | |
| "eval_steps_per_second": 3.026, | |
| "step": 948 | |
| }, | |
| { | |
| "epoch": 33.04, | |
| "grad_norm": 0.12806980311870575, | |
| "learning_rate": 0.001, | |
| "loss": 0.041, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 33.11, | |
| "grad_norm": 0.12071588635444641, | |
| "learning_rate": 0.001, | |
| "loss": 0.0401, | |
| "step": 952 | |
| }, | |
| { | |
| "epoch": 33.18, | |
| "grad_norm": 0.11720431596040726, | |
| "learning_rate": 0.001, | |
| "loss": 0.035, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 33.25, | |
| "grad_norm": 0.12089748680591583, | |
| "learning_rate": 0.001, | |
| "loss": 0.0389, | |
| "step": 956 | |
| }, | |
| { | |
| "epoch": 33.32, | |
| "grad_norm": 0.1227785050868988, | |
| "learning_rate": 0.001, | |
| "loss": 0.0389, | |
| "step": 958 | |
| }, | |
| { | |
| "epoch": 33.39, | |
| "grad_norm": 0.12859608232975006, | |
| "learning_rate": 0.001, | |
| "loss": 0.0342, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 33.46, | |
| "grad_norm": 0.2180158495903015, | |
| "learning_rate": 0.001, | |
| "loss": 0.041, | |
| "step": 962 | |
| }, | |
| { | |
| "epoch": 33.53, | |
| "grad_norm": 0.2960141897201538, | |
| "learning_rate": 0.001, | |
| "loss": 0.0989, | |
| "step": 964 | |
| }, | |
| { | |
| "epoch": 33.6, | |
| "grad_norm": 0.15140074491500854, | |
| "learning_rate": 0.001, | |
| "loss": 0.0503, | |
| "step": 966 | |
| }, | |
| { | |
| "epoch": 33.67, | |
| "grad_norm": 0.13876180350780487, | |
| "learning_rate": 0.001, | |
| "loss": 0.0418, | |
| "step": 968 | |
| }, | |
| { | |
| "epoch": 33.74, | |
| "grad_norm": 0.1290924996137619, | |
| "learning_rate": 0.001, | |
| "loss": 0.0413, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 33.81, | |
| "grad_norm": 0.13152842223644257, | |
| "learning_rate": 0.001, | |
| "loss": 0.0398, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 33.88, | |
| "grad_norm": 0.1308111995458603, | |
| "learning_rate": 0.001, | |
| "loss": 0.0384, | |
| "step": 974 | |
| }, | |
| { | |
| "epoch": 33.95, | |
| "grad_norm": 0.12206979840993881, | |
| "learning_rate": 0.001, | |
| "loss": 0.0376, | |
| "step": 976 | |
| }, | |
| { | |
| "epoch": 33.98, | |
| "eval_loss": 5.226629734039307, | |
| "eval_runtime": 14.2113, | |
| "eval_samples_per_second": 23.784, | |
| "eval_steps_per_second": 3.026, | |
| "step": 977 | |
| }, | |
| { | |
| "epoch": 34.02, | |
| "grad_norm": 0.15338914096355438, | |
| "learning_rate": 0.001, | |
| "loss": 0.036, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 34.09, | |
| "grad_norm": 0.12300385534763336, | |
| "learning_rate": 0.001, | |
| "loss": 0.0357, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 34.16, | |
| "grad_norm": 0.10930658131837845, | |
| "learning_rate": 0.001, | |
| "loss": 0.03, | |
| "step": 982 | |
| }, | |
| { | |
| "epoch": 34.23, | |
| "grad_norm": 0.12387796491384506, | |
| "learning_rate": 0.001, | |
| "loss": 0.0393, | |
| "step": 984 | |
| }, | |
| { | |
| "epoch": 34.3, | |
| "grad_norm": 0.1442791372537613, | |
| "learning_rate": 0.001, | |
| "loss": 0.0327, | |
| "step": 986 | |
| }, | |
| { | |
| "epoch": 34.37, | |
| "grad_norm": 0.12000349164009094, | |
| "learning_rate": 0.001, | |
| "loss": 0.0356, | |
| "step": 988 | |
| }, | |
| { | |
| "epoch": 34.43, | |
| "grad_norm": 0.12804967164993286, | |
| "learning_rate": 0.001, | |
| "loss": 0.0415, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "grad_norm": 0.12344588339328766, | |
| "learning_rate": 0.001, | |
| "loss": 0.0348, | |
| "step": 992 | |
| }, | |
| { | |
| "epoch": 34.57, | |
| "grad_norm": 0.12841206789016724, | |
| "learning_rate": 0.001, | |
| "loss": 0.036, | |
| "step": 994 | |
| }, | |
| { | |
| "epoch": 34.64, | |
| "grad_norm": 0.11577708274126053, | |
| "learning_rate": 0.001, | |
| "loss": 0.0349, | |
| "step": 996 | |
| }, | |
| { | |
| "epoch": 34.71, | |
| "grad_norm": 0.12154724448919296, | |
| "learning_rate": 0.001, | |
| "loss": 0.0384, | |
| "step": 998 | |
| }, | |
| { | |
| "epoch": 34.78, | |
| "grad_norm": 0.12926706671714783, | |
| "learning_rate": 0.001, | |
| "loss": 0.0376, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 34.85, | |
| "grad_norm": 0.11031629890203476, | |
| "learning_rate": 0.001, | |
| "loss": 0.0341, | |
| "step": 1002 | |
| }, | |
| { | |
| "epoch": 34.92, | |
| "grad_norm": 0.13376009464263916, | |
| "learning_rate": 0.001, | |
| "loss": 0.0352, | |
| "step": 1004 | |
| }, | |
| { | |
| "epoch": 34.99, | |
| "grad_norm": 0.1240614578127861, | |
| "learning_rate": 0.001, | |
| "loss": 0.0381, | |
| "step": 1006 | |
| }, | |
| { | |
| "epoch": 34.99, | |
| "eval_loss": 5.263000965118408, | |
| "eval_runtime": 14.2061, | |
| "eval_samples_per_second": 23.793, | |
| "eval_steps_per_second": 3.027, | |
| "step": 1006 | |
| }, | |
| { | |
| "epoch": 35.06, | |
| "grad_norm": 0.12797795236110687, | |
| "learning_rate": 0.001, | |
| "loss": 0.0339, | |
| "step": 1008 | |
| }, | |
| { | |
| "epoch": 35.13, | |
| "grad_norm": 0.13305290043354034, | |
| "learning_rate": 0.001, | |
| "loss": 0.0333, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 35.2, | |
| "grad_norm": 0.12507498264312744, | |
| "learning_rate": 0.001, | |
| "loss": 0.0316, | |
| "step": 1012 | |
| }, | |
| { | |
| "epoch": 35.27, | |
| "grad_norm": 0.1163344755768776, | |
| "learning_rate": 0.001, | |
| "loss": 0.0323, | |
| "step": 1014 | |
| }, | |
| { | |
| "epoch": 35.34, | |
| "grad_norm": 0.11232735961675644, | |
| "learning_rate": 0.001, | |
| "loss": 0.035, | |
| "step": 1016 | |
| }, | |
| { | |
| "epoch": 35.41, | |
| "grad_norm": 0.11937879770994186, | |
| "learning_rate": 0.001, | |
| "loss": 0.0343, | |
| "step": 1018 | |
| }, | |
| { | |
| "epoch": 35.48, | |
| "grad_norm": 0.1227354183793068, | |
| "learning_rate": 0.001, | |
| "loss": 0.0316, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 35.55, | |
| "grad_norm": 0.1201673150062561, | |
| "learning_rate": 0.001, | |
| "loss": 0.0345, | |
| "step": 1022 | |
| }, | |
| { | |
| "epoch": 35.62, | |
| "grad_norm": 0.11625051498413086, | |
| "learning_rate": 0.001, | |
| "loss": 0.0305, | |
| "step": 1024 | |
| }, | |
| { | |
| "epoch": 35.69, | |
| "grad_norm": 0.1144721657037735, | |
| "learning_rate": 0.001, | |
| "loss": 0.03, | |
| "step": 1026 | |
| }, | |
| { | |
| "epoch": 35.76, | |
| "grad_norm": 0.12341687083244324, | |
| "learning_rate": 0.001, | |
| "loss": 0.0374, | |
| "step": 1028 | |
| }, | |
| { | |
| "epoch": 35.83, | |
| "grad_norm": 0.12577305734157562, | |
| "learning_rate": 0.001, | |
| "loss": 0.0347, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 35.9, | |
| "grad_norm": 0.11321111768484116, | |
| "learning_rate": 0.001, | |
| "loss": 0.0336, | |
| "step": 1032 | |
| }, | |
| { | |
| "epoch": 35.97, | |
| "grad_norm": 0.11875444650650024, | |
| "learning_rate": 0.001, | |
| "loss": 0.0339, | |
| "step": 1034 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_loss": 5.353184700012207, | |
| "eval_runtime": 14.1981, | |
| "eval_samples_per_second": 23.806, | |
| "eval_steps_per_second": 3.029, | |
| "step": 1035 | |
| }, | |
| { | |
| "epoch": 36.03, | |
| "grad_norm": 0.122185118496418, | |
| "learning_rate": 0.001, | |
| "loss": 0.0285, | |
| "step": 1036 | |
| }, | |
| { | |
| "epoch": 36.1, | |
| "grad_norm": 0.1075131967663765, | |
| "learning_rate": 0.001, | |
| "loss": 0.0312, | |
| "step": 1038 | |
| }, | |
| { | |
| "epoch": 36.17, | |
| "grad_norm": 0.12375488132238388, | |
| "learning_rate": 0.001, | |
| "loss": 0.0291, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 36.24, | |
| "grad_norm": 0.12728258967399597, | |
| "learning_rate": 0.001, | |
| "loss": 0.0333, | |
| "step": 1042 | |
| }, | |
| { | |
| "epoch": 36.31, | |
| "grad_norm": 0.1169193834066391, | |
| "learning_rate": 0.001, | |
| "loss": 0.0309, | |
| "step": 1044 | |
| }, | |
| { | |
| "epoch": 36.38, | |
| "grad_norm": 0.11048964411020279, | |
| "learning_rate": 0.001, | |
| "loss": 0.0299, | |
| "step": 1046 | |
| }, | |
| { | |
| "epoch": 36.45, | |
| "grad_norm": 0.11923568695783615, | |
| "learning_rate": 0.001, | |
| "loss": 0.0301, | |
| "step": 1048 | |
| }, | |
| { | |
| "epoch": 36.52, | |
| "grad_norm": 0.1160750761628151, | |
| "learning_rate": 0.001, | |
| "loss": 0.0287, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 36.59, | |
| "grad_norm": 0.12535539269447327, | |
| "learning_rate": 0.001, | |
| "loss": 0.0335, | |
| "step": 1052 | |
| }, | |
| { | |
| "epoch": 36.66, | |
| "grad_norm": 0.13712206482887268, | |
| "learning_rate": 0.001, | |
| "loss": 0.0358, | |
| "step": 1054 | |
| }, | |
| { | |
| "epoch": 36.73, | |
| "grad_norm": 0.12085587531328201, | |
| "learning_rate": 0.001, | |
| "loss": 0.0362, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 36.8, | |
| "grad_norm": 0.1010272428393364, | |
| "learning_rate": 0.001, | |
| "loss": 0.0324, | |
| "step": 1058 | |
| }, | |
| { | |
| "epoch": 36.87, | |
| "grad_norm": 0.11820247769355774, | |
| "learning_rate": 0.001, | |
| "loss": 0.0315, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 36.94, | |
| "grad_norm": 0.1259121298789978, | |
| "learning_rate": 0.001, | |
| "loss": 0.0377, | |
| "step": 1062 | |
| }, | |
| { | |
| "epoch": 36.97, | |
| "eval_loss": 5.44431734085083, | |
| "eval_runtime": 14.2065, | |
| "eval_samples_per_second": 23.792, | |
| "eval_steps_per_second": 3.027, | |
| "step": 1063 | |
| }, | |
| { | |
| "epoch": 37.01, | |
| "grad_norm": 0.12725719809532166, | |
| "learning_rate": 0.001, | |
| "loss": 0.0277, | |
| "step": 1064 | |
| }, | |
| { | |
| "epoch": 37.08, | |
| "grad_norm": 0.11410412192344666, | |
| "learning_rate": 0.001, | |
| "loss": 0.0282, | |
| "step": 1066 | |
| }, | |
| { | |
| "epoch": 37.15, | |
| "grad_norm": 0.11205872148275375, | |
| "learning_rate": 0.001, | |
| "loss": 0.0302, | |
| "step": 1068 | |
| }, | |
| { | |
| "epoch": 37.22, | |
| "grad_norm": 0.09593572467565536, | |
| "learning_rate": 0.001, | |
| "loss": 0.0263, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 37.29, | |
| "grad_norm": 0.12462112307548523, | |
| "learning_rate": 0.001, | |
| "loss": 0.0328, | |
| "step": 1072 | |
| }, | |
| { | |
| "epoch": 37.36, | |
| "grad_norm": 0.11873652786016464, | |
| "learning_rate": 0.001, | |
| "loss": 0.0328, | |
| "step": 1074 | |
| }, | |
| { | |
| "epoch": 37.43, | |
| "grad_norm": 0.1105048656463623, | |
| "learning_rate": 0.001, | |
| "loss": 0.0298, | |
| "step": 1076 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "grad_norm": 0.10692736506462097, | |
| "learning_rate": 0.001, | |
| "loss": 0.0328, | |
| "step": 1078 | |
| }, | |
| { | |
| "epoch": 37.57, | |
| "grad_norm": 0.12755931913852692, | |
| "learning_rate": 0.001, | |
| "loss": 0.0321, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 37.63, | |
| "grad_norm": 0.13307899236679077, | |
| "learning_rate": 0.001, | |
| "loss": 0.0329, | |
| "step": 1082 | |
| }, | |
| { | |
| "epoch": 37.7, | |
| "grad_norm": 0.12125247716903687, | |
| "learning_rate": 0.001, | |
| "loss": 0.034, | |
| "step": 1084 | |
| }, | |
| { | |
| "epoch": 37.77, | |
| "grad_norm": 0.12050389498472214, | |
| "learning_rate": 0.001, | |
| "loss": 0.031, | |
| "step": 1086 | |
| }, | |
| { | |
| "epoch": 37.84, | |
| "grad_norm": 0.11437363177537918, | |
| "learning_rate": 0.001, | |
| "loss": 0.0308, | |
| "step": 1088 | |
| }, | |
| { | |
| "epoch": 37.91, | |
| "grad_norm": 0.13162565231323242, | |
| "learning_rate": 0.001, | |
| "loss": 0.037, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 37.98, | |
| "grad_norm": 0.13537472486495972, | |
| "learning_rate": 0.001, | |
| "loss": 0.0336, | |
| "step": 1092 | |
| }, | |
| { | |
| "epoch": 37.98, | |
| "eval_loss": 5.080876350402832, | |
| "eval_runtime": 14.2123, | |
| "eval_samples_per_second": 23.782, | |
| "eval_steps_per_second": 3.026, | |
| "step": 1092 | |
| }, | |
| { | |
| "epoch": 38.05, | |
| "grad_norm": 0.10324922204017639, | |
| "learning_rate": 0.001, | |
| "loss": 0.0311, | |
| "step": 1094 | |
| }, | |
| { | |
| "epoch": 38.12, | |
| "grad_norm": 0.10196162760257721, | |
| "learning_rate": 0.001, | |
| "loss": 0.0274, | |
| "step": 1096 | |
| }, | |
| { | |
| "epoch": 38.19, | |
| "grad_norm": 0.10867214947938919, | |
| "learning_rate": 0.001, | |
| "loss": 0.0281, | |
| "step": 1098 | |
| }, | |
| { | |
| "epoch": 38.26, | |
| "grad_norm": 0.10762563347816467, | |
| "learning_rate": 0.001, | |
| "loss": 0.0301, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 38.33, | |
| "grad_norm": 0.10636897385120392, | |
| "learning_rate": 0.001, | |
| "loss": 0.0305, | |
| "step": 1102 | |
| }, | |
| { | |
| "epoch": 38.4, | |
| "grad_norm": 0.10994244366884232, | |
| "learning_rate": 0.001, | |
| "loss": 0.0328, | |
| "step": 1104 | |
| }, | |
| { | |
| "epoch": 38.47, | |
| "grad_norm": 0.11419042944908142, | |
| "learning_rate": 0.001, | |
| "loss": 0.0328, | |
| "step": 1106 | |
| }, | |
| { | |
| "epoch": 38.54, | |
| "grad_norm": 0.10719581693410873, | |
| "learning_rate": 0.001, | |
| "loss": 0.0359, | |
| "step": 1108 | |
| }, | |
| { | |
| "epoch": 38.61, | |
| "grad_norm": 0.13429002463817596, | |
| "learning_rate": 0.001, | |
| "loss": 0.0302, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 38.68, | |
| "grad_norm": 0.11462274938821793, | |
| "learning_rate": 0.001, | |
| "loss": 0.0311, | |
| "step": 1112 | |
| }, | |
| { | |
| "epoch": 38.75, | |
| "grad_norm": 0.12587036192417145, | |
| "learning_rate": 0.001, | |
| "loss": 0.0303, | |
| "step": 1114 | |
| }, | |
| { | |
| "epoch": 38.82, | |
| "grad_norm": 0.11628645658493042, | |
| "learning_rate": 0.001, | |
| "loss": 0.0294, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 38.89, | |
| "grad_norm": 0.1132420152425766, | |
| "learning_rate": 0.001, | |
| "loss": 0.0344, | |
| "step": 1118 | |
| }, | |
| { | |
| "epoch": 38.96, | |
| "grad_norm": 0.12212924659252167, | |
| "learning_rate": 0.001, | |
| "loss": 0.0316, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 38.96, | |
| "eval_loss": 5.267875671386719, | |
| "eval_runtime": 14.2092, | |
| "eval_samples_per_second": 23.787, | |
| "eval_steps_per_second": 3.026, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 38.96, | |
| "step": 1120, | |
| "total_flos": 1.0970359673435505e+18, | |
| "train_loss": 0.32971865670822026, | |
| "train_runtime": 25027.7089, | |
| "train_samples_per_second": 5.87, | |
| "train_steps_per_second": 0.045 | |
| } | |
| ], | |
| "logging_steps": 2, | |
| "max_steps": 1120, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 40, | |
| "save_steps": 500, | |
| "total_flos": 1.0970359673435505e+18, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |