| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.001684655038803221, | |
| "eval_steps": 9, | |
| "global_step": 75, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.246206718404295e-05, | |
| "grad_norm": 2.7750818729400635, | |
| "learning_rate": 1e-05, | |
| "loss": 4.586, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 2.246206718404295e-05, | |
| "eval_loss": 2.2075488567352295, | |
| "eval_runtime": 1630.869, | |
| "eval_samples_per_second": 22.988, | |
| "eval_steps_per_second": 2.874, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 4.49241343680859e-05, | |
| "grad_norm": 1.9289658069610596, | |
| "learning_rate": 2e-05, | |
| "loss": 3.7755, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 6.738620155212884e-05, | |
| "grad_norm": 2.192617654800415, | |
| "learning_rate": 3e-05, | |
| "loss": 4.2251, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 8.98482687361718e-05, | |
| "grad_norm": 2.3574883937835693, | |
| "learning_rate": 4e-05, | |
| "loss": 4.9035, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.00011231033592021474, | |
| "grad_norm": 2.7869656085968018, | |
| "learning_rate": 5e-05, | |
| "loss": 4.7603, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.00013477240310425767, | |
| "grad_norm": 3.171642541885376, | |
| "learning_rate": 6e-05, | |
| "loss": 4.1502, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.00015723447028830065, | |
| "grad_norm": 3.7151501178741455, | |
| "learning_rate": 7e-05, | |
| "loss": 4.5112, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.0001796965374723436, | |
| "grad_norm": 3.1683778762817383, | |
| "learning_rate": 8e-05, | |
| "loss": 3.4748, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.00020215860465638654, | |
| "grad_norm": 5.810944080352783, | |
| "learning_rate": 9e-05, | |
| "loss": 4.2722, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.00020215860465638654, | |
| "eval_loss": 2.0206046104431152, | |
| "eval_runtime": 1631.9238, | |
| "eval_samples_per_second": 22.973, | |
| "eval_steps_per_second": 2.872, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.00022462067184042948, | |
| "grad_norm": 5.076383113861084, | |
| "learning_rate": 0.0001, | |
| "loss": 4.7174, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.0002470827390244724, | |
| "grad_norm": 3.3657078742980957, | |
| "learning_rate": 9.99695413509548e-05, | |
| "loss": 4.2967, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.00026954480620851535, | |
| "grad_norm": 2.2659411430358887, | |
| "learning_rate": 9.987820251299122e-05, | |
| "loss": 3.7389, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.0002920068733925583, | |
| "grad_norm": 1.7639695405960083, | |
| "learning_rate": 9.972609476841367e-05, | |
| "loss": 3.8581, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.0003144689405766013, | |
| "grad_norm": 5.5207929611206055, | |
| "learning_rate": 9.951340343707852e-05, | |
| "loss": 3.9921, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.00033693100776064424, | |
| "grad_norm": 3.114842176437378, | |
| "learning_rate": 9.924038765061042e-05, | |
| "loss": 4.1103, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.0003593930749446872, | |
| "grad_norm": 2.190366744995117, | |
| "learning_rate": 9.890738003669029e-05, | |
| "loss": 3.363, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.0003818551421287301, | |
| "grad_norm": 3.0523877143859863, | |
| "learning_rate": 9.851478631379982e-05, | |
| "loss": 4.1345, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.00040431720931277307, | |
| "grad_norm": 3.813314437866211, | |
| "learning_rate": 9.806308479691595e-05, | |
| "loss": 3.8035, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.00040431720931277307, | |
| "eval_loss": 1.826113224029541, | |
| "eval_runtime": 1632.2786, | |
| "eval_samples_per_second": 22.968, | |
| "eval_steps_per_second": 2.871, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.000426779276496816, | |
| "grad_norm": 2.902435302734375, | |
| "learning_rate": 9.755282581475769e-05, | |
| "loss": 3.1622, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.00044924134368085896, | |
| "grad_norm": 3.186333417892456, | |
| "learning_rate": 9.698463103929542e-05, | |
| "loss": 4.1721, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.0004717034108649019, | |
| "grad_norm": 3.263099193572998, | |
| "learning_rate": 9.635919272833938e-05, | |
| "loss": 2.933, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.0004941654780489448, | |
| "grad_norm": 3.072693109512329, | |
| "learning_rate": 9.567727288213005e-05, | |
| "loss": 3.0188, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.0005166275452329877, | |
| "grad_norm": 2.9341752529144287, | |
| "learning_rate": 9.493970231495835e-05, | |
| "loss": 3.1627, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.0005390896124170307, | |
| "grad_norm": 2.0156662464141846, | |
| "learning_rate": 9.414737964294636e-05, | |
| "loss": 3.7665, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.0005615516796010736, | |
| "grad_norm": 4.773046016693115, | |
| "learning_rate": 9.330127018922194e-05, | |
| "loss": 4.0075, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.0005840137467851166, | |
| "grad_norm": 2.525400400161743, | |
| "learning_rate": 9.24024048078213e-05, | |
| "loss": 3.4141, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.0006064758139691596, | |
| "grad_norm": 3.1710431575775146, | |
| "learning_rate": 9.145187862775209e-05, | |
| "loss": 3.5087, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.0006064758139691596, | |
| "eval_loss": 1.780084252357483, | |
| "eval_runtime": 1632.5434, | |
| "eval_samples_per_second": 22.964, | |
| "eval_steps_per_second": 2.871, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.0006289378811532026, | |
| "grad_norm": 2.813370704650879, | |
| "learning_rate": 9.045084971874738e-05, | |
| "loss": 3.8044, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.0006513999483372455, | |
| "grad_norm": 2.058415174484253, | |
| "learning_rate": 8.940053768033609e-05, | |
| "loss": 3.2233, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.0006738620155212885, | |
| "grad_norm": 1.962506890296936, | |
| "learning_rate": 8.83022221559489e-05, | |
| "loss": 3.5407, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.0006963240827053314, | |
| "grad_norm": 2.352518320083618, | |
| "learning_rate": 8.715724127386972e-05, | |
| "loss": 3.8538, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.0007187861498893744, | |
| "grad_norm": 2.3428025245666504, | |
| "learning_rate": 8.596699001693255e-05, | |
| "loss": 3.6797, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.0007412482170734173, | |
| "grad_norm": 1.7835075855255127, | |
| "learning_rate": 8.473291852294987e-05, | |
| "loss": 3.832, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.0007637102842574603, | |
| "grad_norm": 1.6647694110870361, | |
| "learning_rate": 8.345653031794292e-05, | |
| "loss": 3.4723, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.0007861723514415032, | |
| "grad_norm": 2.274492025375366, | |
| "learning_rate": 8.213938048432697e-05, | |
| "loss": 3.0918, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.0008086344186255461, | |
| "grad_norm": 3.1563773155212402, | |
| "learning_rate": 8.07830737662829e-05, | |
| "loss": 3.5549, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.0008086344186255461, | |
| "eval_loss": 1.7567815780639648, | |
| "eval_runtime": 1632.074, | |
| "eval_samples_per_second": 22.971, | |
| "eval_steps_per_second": 2.872, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.0008310964858095891, | |
| "grad_norm": 2.0984981060028076, | |
| "learning_rate": 7.938926261462366e-05, | |
| "loss": 3.4193, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.000853558552993632, | |
| "grad_norm": 1.842602252960205, | |
| "learning_rate": 7.795964517353735e-05, | |
| "loss": 3.5343, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.000876020620177675, | |
| "grad_norm": 1.6959556341171265, | |
| "learning_rate": 7.649596321166024e-05, | |
| "loss": 3.3391, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.0008984826873617179, | |
| "grad_norm": 1.5816162824630737, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 2.8507, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.0009209447545457609, | |
| "grad_norm": 1.8995237350463867, | |
| "learning_rate": 7.347357813929454e-05, | |
| "loss": 3.7906, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.0009434068217298038, | |
| "grad_norm": 1.9689886569976807, | |
| "learning_rate": 7.191855733945387e-05, | |
| "loss": 4.1076, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.0009658688889138468, | |
| "grad_norm": 2.290149450302124, | |
| "learning_rate": 7.033683215379002e-05, | |
| "loss": 3.3636, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.0009883309560978896, | |
| "grad_norm": 2.0681443214416504, | |
| "learning_rate": 6.873032967079561e-05, | |
| "loss": 2.7999, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.0010107930232819327, | |
| "grad_norm": 1.7715750932693481, | |
| "learning_rate": 6.710100716628344e-05, | |
| "loss": 3.1144, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.0010107930232819327, | |
| "eval_loss": 1.7513365745544434, | |
| "eval_runtime": 1632.0626, | |
| "eval_samples_per_second": 22.971, | |
| "eval_steps_per_second": 2.872, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.0010332550904659755, | |
| "grad_norm": 1.7227574586868286, | |
| "learning_rate": 6.545084971874738e-05, | |
| "loss": 3.4745, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.0010557171576500185, | |
| "grad_norm": 1.5659047365188599, | |
| "learning_rate": 6.378186779084995e-05, | |
| "loss": 3.3294, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.0010781792248340614, | |
| "grad_norm": 1.7313659191131592, | |
| "learning_rate": 6.209609477998338e-05, | |
| "loss": 2.6789, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.0011006412920181044, | |
| "grad_norm": 1.6729196310043335, | |
| "learning_rate": 6.0395584540887963e-05, | |
| "loss": 3.0046, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.0011231033592021473, | |
| "grad_norm": 1.5939840078353882, | |
| "learning_rate": 5.868240888334653e-05, | |
| "loss": 3.185, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.0011455654263861903, | |
| "grad_norm": 2.4340100288391113, | |
| "learning_rate": 5.695865504800327e-05, | |
| "loss": 3.9648, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.0011680274935702332, | |
| "grad_norm": 2.181459903717041, | |
| "learning_rate": 5.522642316338268e-05, | |
| "loss": 3.8834, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.0011904895607542762, | |
| "grad_norm": 1.8149747848510742, | |
| "learning_rate": 5.348782368720626e-05, | |
| "loss": 3.6703, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.0012129516279383193, | |
| "grad_norm": 1.6692755222320557, | |
| "learning_rate": 5.174497483512506e-05, | |
| "loss": 3.6665, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.0012129516279383193, | |
| "eval_loss": 1.7456862926483154, | |
| "eval_runtime": 1632.4662, | |
| "eval_samples_per_second": 22.965, | |
| "eval_steps_per_second": 2.871, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.001235413695122362, | |
| "grad_norm": 2.4753801822662354, | |
| "learning_rate": 5e-05, | |
| "loss": 3.4893, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.0012578757623064052, | |
| "grad_norm": 2.4215543270111084, | |
| "learning_rate": 4.825502516487497e-05, | |
| "loss": 3.5557, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.001280337829490448, | |
| "grad_norm": 2.677598476409912, | |
| "learning_rate": 4.6512176312793736e-05, | |
| "loss": 2.9957, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.001302799896674491, | |
| "grad_norm": 1.6023344993591309, | |
| "learning_rate": 4.477357683661734e-05, | |
| "loss": 4.1756, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.0013252619638585339, | |
| "grad_norm": 1.8356449604034424, | |
| "learning_rate": 4.3041344951996746e-05, | |
| "loss": 3.8109, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.001347724031042577, | |
| "grad_norm": 1.8622589111328125, | |
| "learning_rate": 4.131759111665349e-05, | |
| "loss": 3.7408, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.0013701860982266198, | |
| "grad_norm": 1.797446846961975, | |
| "learning_rate": 3.960441545911204e-05, | |
| "loss": 3.7321, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.0013926481654106628, | |
| "grad_norm": 1.903319239616394, | |
| "learning_rate": 3.790390522001662e-05, | |
| "loss": 2.697, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.0014151102325947057, | |
| "grad_norm": 1.7271318435668945, | |
| "learning_rate": 3.6218132209150045e-05, | |
| "loss": 3.7319, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.0014151102325947057, | |
| "eval_loss": 1.7400661706924438, | |
| "eval_runtime": 1632.0443, | |
| "eval_samples_per_second": 22.971, | |
| "eval_steps_per_second": 2.872, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.0014375722997787487, | |
| "grad_norm": 1.791338324546814, | |
| "learning_rate": 3.4549150281252636e-05, | |
| "loss": 3.0344, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.0014600343669627916, | |
| "grad_norm": 1.845373511314392, | |
| "learning_rate": 3.289899283371657e-05, | |
| "loss": 3.6643, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.0014824964341468346, | |
| "grad_norm": 1.535976767539978, | |
| "learning_rate": 3.12696703292044e-05, | |
| "loss": 2.8485, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.0015049585013308775, | |
| "grad_norm": 1.7403994798660278, | |
| "learning_rate": 2.9663167846209998e-05, | |
| "loss": 3.1442, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.0015274205685149205, | |
| "grad_norm": 1.6058380603790283, | |
| "learning_rate": 2.8081442660546125e-05, | |
| "loss": 3.4109, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.0015498826356989633, | |
| "grad_norm": 1.738742709159851, | |
| "learning_rate": 2.6526421860705473e-05, | |
| "loss": 3.1998, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.0015723447028830064, | |
| "grad_norm": 1.8473705053329468, | |
| "learning_rate": 2.500000000000001e-05, | |
| "loss": 3.399, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.0015948067700670492, | |
| "grad_norm": 1.9509713649749756, | |
| "learning_rate": 2.350403678833976e-05, | |
| "loss": 3.4907, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.0016172688372510923, | |
| "grad_norm": 1.8196882009506226, | |
| "learning_rate": 2.2040354826462668e-05, | |
| "loss": 3.8142, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.0016172688372510923, | |
| "eval_loss": 1.7379201650619507, | |
| "eval_runtime": 1632.391, | |
| "eval_samples_per_second": 22.966, | |
| "eval_steps_per_second": 2.871, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.0016397309044351351, | |
| "grad_norm": 1.8369139432907104, | |
| "learning_rate": 2.061073738537635e-05, | |
| "loss": 3.736, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.0016621929716191782, | |
| "grad_norm": 1.637620210647583, | |
| "learning_rate": 1.9216926233717085e-05, | |
| "loss": 3.7325, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.001684655038803221, | |
| "grad_norm": 1.5396091938018799, | |
| "learning_rate": 1.7860619515673033e-05, | |
| "loss": 3.349, | |
| "step": 75 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4.90093651427328e+16, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |