lesso07's picture
Training in progress, step 75, checkpoint
0a55277 verified
raw
history blame
15.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.012656091798852515,
"eval_steps": 9,
"global_step": 75,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00016874789065136686,
"grad_norm": 0.6673353910446167,
"learning_rate": 1e-05,
"loss": 1.1828,
"step": 1
},
{
"epoch": 0.00016874789065136686,
"eval_loss": 1.133446216583252,
"eval_runtime": 670.9071,
"eval_samples_per_second": 7.438,
"eval_steps_per_second": 0.93,
"step": 1
},
{
"epoch": 0.0003374957813027337,
"grad_norm": 0.6421517133712769,
"learning_rate": 2e-05,
"loss": 1.1352,
"step": 2
},
{
"epoch": 0.0005062436719541006,
"grad_norm": 0.8541758060455322,
"learning_rate": 3e-05,
"loss": 0.9903,
"step": 3
},
{
"epoch": 0.0006749915626054674,
"grad_norm": 0.4865100383758545,
"learning_rate": 4e-05,
"loss": 1.1104,
"step": 4
},
{
"epoch": 0.0008437394532568343,
"grad_norm": 0.5594805479049683,
"learning_rate": 5e-05,
"loss": 0.9953,
"step": 5
},
{
"epoch": 0.0010124873439082012,
"grad_norm": 0.5936105251312256,
"learning_rate": 6e-05,
"loss": 1.019,
"step": 6
},
{
"epoch": 0.001181235234559568,
"grad_norm": 0.7241169214248657,
"learning_rate": 7e-05,
"loss": 1.0544,
"step": 7
},
{
"epoch": 0.0013499831252109348,
"grad_norm": 0.8012577295303345,
"learning_rate": 8e-05,
"loss": 1.0349,
"step": 8
},
{
"epoch": 0.0015187310158623017,
"grad_norm": 0.6014957427978516,
"learning_rate": 9e-05,
"loss": 0.8921,
"step": 9
},
{
"epoch": 0.0015187310158623017,
"eval_loss": 0.9576449990272522,
"eval_runtime": 672.5267,
"eval_samples_per_second": 7.42,
"eval_steps_per_second": 0.928,
"step": 9
},
{
"epoch": 0.0016874789065136687,
"grad_norm": 0.3161397874355316,
"learning_rate": 0.0001,
"loss": 1.0526,
"step": 10
},
{
"epoch": 0.0018562267971650355,
"grad_norm": 0.3254038393497467,
"learning_rate": 9.99695413509548e-05,
"loss": 0.9626,
"step": 11
},
{
"epoch": 0.0020249746878164025,
"grad_norm": 0.29402822256088257,
"learning_rate": 9.987820251299122e-05,
"loss": 0.8483,
"step": 12
},
{
"epoch": 0.0021937225784677693,
"grad_norm": 0.3435806930065155,
"learning_rate": 9.972609476841367e-05,
"loss": 0.9679,
"step": 13
},
{
"epoch": 0.002362470469119136,
"grad_norm": 0.35293349623680115,
"learning_rate": 9.951340343707852e-05,
"loss": 0.9465,
"step": 14
},
{
"epoch": 0.002531218359770503,
"grad_norm": 0.3628636598587036,
"learning_rate": 9.924038765061042e-05,
"loss": 0.832,
"step": 15
},
{
"epoch": 0.0026999662504218697,
"grad_norm": 0.354307621717453,
"learning_rate": 9.890738003669029e-05,
"loss": 0.7619,
"step": 16
},
{
"epoch": 0.0028687141410732365,
"grad_norm": 0.40063461661338806,
"learning_rate": 9.851478631379982e-05,
"loss": 0.8526,
"step": 17
},
{
"epoch": 0.0030374620317246033,
"grad_norm": 0.3604790270328522,
"learning_rate": 9.806308479691595e-05,
"loss": 0.8343,
"step": 18
},
{
"epoch": 0.0030374620317246033,
"eval_loss": 0.8436176180839539,
"eval_runtime": 672.8891,
"eval_samples_per_second": 7.416,
"eval_steps_per_second": 0.927,
"step": 18
},
{
"epoch": 0.00320620992237597,
"grad_norm": 0.32435283064842224,
"learning_rate": 9.755282581475769e-05,
"loss": 0.8905,
"step": 19
},
{
"epoch": 0.0033749578130273373,
"grad_norm": 0.29493603110313416,
"learning_rate": 9.698463103929542e-05,
"loss": 0.8299,
"step": 20
},
{
"epoch": 0.003543705703678704,
"grad_norm": 0.28454816341400146,
"learning_rate": 9.635919272833938e-05,
"loss": 0.8245,
"step": 21
},
{
"epoch": 0.003712453594330071,
"grad_norm": 0.30943214893341064,
"learning_rate": 9.567727288213005e-05,
"loss": 0.8342,
"step": 22
},
{
"epoch": 0.0038812014849814377,
"grad_norm": 0.2970975637435913,
"learning_rate": 9.493970231495835e-05,
"loss": 0.854,
"step": 23
},
{
"epoch": 0.004049949375632805,
"grad_norm": 0.32714584469795227,
"learning_rate": 9.414737964294636e-05,
"loss": 0.8385,
"step": 24
},
{
"epoch": 0.004218697266284171,
"grad_norm": 0.30870357155799866,
"learning_rate": 9.330127018922194e-05,
"loss": 0.715,
"step": 25
},
{
"epoch": 0.004387445156935539,
"grad_norm": 0.2743527591228485,
"learning_rate": 9.24024048078213e-05,
"loss": 0.8243,
"step": 26
},
{
"epoch": 0.004556193047586905,
"grad_norm": 0.2194703072309494,
"learning_rate": 9.145187862775209e-05,
"loss": 0.8237,
"step": 27
},
{
"epoch": 0.004556193047586905,
"eval_loss": 0.7984665632247925,
"eval_runtime": 673.0127,
"eval_samples_per_second": 7.414,
"eval_steps_per_second": 0.927,
"step": 27
},
{
"epoch": 0.004724940938238272,
"grad_norm": 0.2173057645559311,
"learning_rate": 9.045084971874738e-05,
"loss": 0.6946,
"step": 28
},
{
"epoch": 0.0048936888288896386,
"grad_norm": 0.26414012908935547,
"learning_rate": 8.940053768033609e-05,
"loss": 0.9683,
"step": 29
},
{
"epoch": 0.005062436719541006,
"grad_norm": 0.19070331752300262,
"learning_rate": 8.83022221559489e-05,
"loss": 0.7274,
"step": 30
},
{
"epoch": 0.005231184610192373,
"grad_norm": 0.22258605062961578,
"learning_rate": 8.715724127386972e-05,
"loss": 0.6563,
"step": 31
},
{
"epoch": 0.005399932500843739,
"grad_norm": 0.16770727932453156,
"learning_rate": 8.596699001693255e-05,
"loss": 0.7469,
"step": 32
},
{
"epoch": 0.005568680391495107,
"grad_norm": 0.2346215546131134,
"learning_rate": 8.473291852294987e-05,
"loss": 0.7293,
"step": 33
},
{
"epoch": 0.005737428282146473,
"grad_norm": 0.20247291028499603,
"learning_rate": 8.345653031794292e-05,
"loss": 0.722,
"step": 34
},
{
"epoch": 0.00590617617279784,
"grad_norm": 0.2722700834274292,
"learning_rate": 8.213938048432697e-05,
"loss": 0.8538,
"step": 35
},
{
"epoch": 0.006074924063449207,
"grad_norm": 0.23295146226882935,
"learning_rate": 8.07830737662829e-05,
"loss": 0.7712,
"step": 36
},
{
"epoch": 0.006074924063449207,
"eval_loss": 0.7734177708625793,
"eval_runtime": 672.6791,
"eval_samples_per_second": 7.418,
"eval_steps_per_second": 0.928,
"step": 36
},
{
"epoch": 0.006243671954100574,
"grad_norm": 0.22734515368938446,
"learning_rate": 7.938926261462366e-05,
"loss": 0.6952,
"step": 37
},
{
"epoch": 0.00641241984475194,
"grad_norm": 0.23274950683116913,
"learning_rate": 7.795964517353735e-05,
"loss": 0.6745,
"step": 38
},
{
"epoch": 0.0065811677354033074,
"grad_norm": 0.2169954478740692,
"learning_rate": 7.649596321166024e-05,
"loss": 0.8216,
"step": 39
},
{
"epoch": 0.006749915626054675,
"grad_norm": 0.24286970496177673,
"learning_rate": 7.500000000000001e-05,
"loss": 0.7567,
"step": 40
},
{
"epoch": 0.006918663516706041,
"grad_norm": 0.21593761444091797,
"learning_rate": 7.347357813929454e-05,
"loss": 0.7137,
"step": 41
},
{
"epoch": 0.007087411407357408,
"grad_norm": 0.23738643527030945,
"learning_rate": 7.191855733945387e-05,
"loss": 0.7267,
"step": 42
},
{
"epoch": 0.007256159298008775,
"grad_norm": 0.23834103345870972,
"learning_rate": 7.033683215379002e-05,
"loss": 0.8647,
"step": 43
},
{
"epoch": 0.007424907188660142,
"grad_norm": 0.19728927314281464,
"learning_rate": 6.873032967079561e-05,
"loss": 0.6978,
"step": 44
},
{
"epoch": 0.007593655079311508,
"grad_norm": 0.25146934390068054,
"learning_rate": 6.710100716628344e-05,
"loss": 0.8439,
"step": 45
},
{
"epoch": 0.007593655079311508,
"eval_loss": 0.7586240172386169,
"eval_runtime": 672.7804,
"eval_samples_per_second": 7.417,
"eval_steps_per_second": 0.927,
"step": 45
},
{
"epoch": 0.0077624029699628755,
"grad_norm": 0.2514830529689789,
"learning_rate": 6.545084971874738e-05,
"loss": 0.7707,
"step": 46
},
{
"epoch": 0.007931150860614243,
"grad_norm": 0.21285653114318848,
"learning_rate": 6.378186779084995e-05,
"loss": 0.6869,
"step": 47
},
{
"epoch": 0.00809989875126561,
"grad_norm": 0.2110971063375473,
"learning_rate": 6.209609477998338e-05,
"loss": 0.8896,
"step": 48
},
{
"epoch": 0.008268646641916975,
"grad_norm": 0.22739623486995697,
"learning_rate": 6.0395584540887963e-05,
"loss": 0.7584,
"step": 49
},
{
"epoch": 0.008437394532568343,
"grad_norm": 0.27134278416633606,
"learning_rate": 5.868240888334653e-05,
"loss": 0.8999,
"step": 50
},
{
"epoch": 0.00860614242321971,
"grad_norm": 0.22978180646896362,
"learning_rate": 5.695865504800327e-05,
"loss": 0.838,
"step": 51
},
{
"epoch": 0.008774890313871077,
"grad_norm": 0.2255326360464096,
"learning_rate": 5.522642316338268e-05,
"loss": 0.8183,
"step": 52
},
{
"epoch": 0.008943638204522443,
"grad_norm": 0.23889334499835968,
"learning_rate": 5.348782368720626e-05,
"loss": 0.7689,
"step": 53
},
{
"epoch": 0.00911238609517381,
"grad_norm": 0.23411183059215546,
"learning_rate": 5.174497483512506e-05,
"loss": 0.749,
"step": 54
},
{
"epoch": 0.00911238609517381,
"eval_loss": 0.7487614154815674,
"eval_runtime": 672.4672,
"eval_samples_per_second": 7.42,
"eval_steps_per_second": 0.928,
"step": 54
},
{
"epoch": 0.009281133985825177,
"grad_norm": 0.21135364472866058,
"learning_rate": 5e-05,
"loss": 0.6483,
"step": 55
},
{
"epoch": 0.009449881876476544,
"grad_norm": 0.22199489176273346,
"learning_rate": 4.825502516487497e-05,
"loss": 0.7055,
"step": 56
},
{
"epoch": 0.009618629767127912,
"grad_norm": 0.26034969091415405,
"learning_rate": 4.6512176312793736e-05,
"loss": 0.8685,
"step": 57
},
{
"epoch": 0.009787377657779277,
"grad_norm": 0.2556268870830536,
"learning_rate": 4.477357683661734e-05,
"loss": 0.8371,
"step": 58
},
{
"epoch": 0.009956125548430644,
"grad_norm": 0.23750770092010498,
"learning_rate": 4.3041344951996746e-05,
"loss": 0.8321,
"step": 59
},
{
"epoch": 0.010124873439082012,
"grad_norm": 0.25214332342147827,
"learning_rate": 4.131759111665349e-05,
"loss": 0.7922,
"step": 60
},
{
"epoch": 0.010293621329733379,
"grad_norm": 0.2333674132823944,
"learning_rate": 3.960441545911204e-05,
"loss": 0.7721,
"step": 61
},
{
"epoch": 0.010462369220384746,
"grad_norm": 0.2577410936355591,
"learning_rate": 3.790390522001662e-05,
"loss": 0.8861,
"step": 62
},
{
"epoch": 0.010631117111036112,
"grad_norm": 0.24156250059604645,
"learning_rate": 3.6218132209150045e-05,
"loss": 0.7453,
"step": 63
},
{
"epoch": 0.010631117111036112,
"eval_loss": 0.742745041847229,
"eval_runtime": 672.4867,
"eval_samples_per_second": 7.42,
"eval_steps_per_second": 0.928,
"step": 63
},
{
"epoch": 0.010799865001687479,
"grad_norm": 0.2269875854253769,
"learning_rate": 3.4549150281252636e-05,
"loss": 0.6588,
"step": 64
},
{
"epoch": 0.010968612892338846,
"grad_norm": 0.2180250734090805,
"learning_rate": 3.289899283371657e-05,
"loss": 0.7415,
"step": 65
},
{
"epoch": 0.011137360782990213,
"grad_norm": 0.2491016685962677,
"learning_rate": 3.12696703292044e-05,
"loss": 0.8364,
"step": 66
},
{
"epoch": 0.011306108673641579,
"grad_norm": 0.23741914331912994,
"learning_rate": 2.9663167846209998e-05,
"loss": 0.8251,
"step": 67
},
{
"epoch": 0.011474856564292946,
"grad_norm": 0.2304244041442871,
"learning_rate": 2.8081442660546125e-05,
"loss": 0.792,
"step": 68
},
{
"epoch": 0.011643604454944313,
"grad_norm": 0.2569412589073181,
"learning_rate": 2.6526421860705473e-05,
"loss": 0.6614,
"step": 69
},
{
"epoch": 0.01181235234559568,
"grad_norm": 0.20252695679664612,
"learning_rate": 2.500000000000001e-05,
"loss": 0.6474,
"step": 70
},
{
"epoch": 0.011981100236247048,
"grad_norm": 0.2276439368724823,
"learning_rate": 2.350403678833976e-05,
"loss": 0.7243,
"step": 71
},
{
"epoch": 0.012149848126898413,
"grad_norm": 0.28231948614120483,
"learning_rate": 2.2040354826462668e-05,
"loss": 0.7426,
"step": 72
},
{
"epoch": 0.012149848126898413,
"eval_loss": 0.7391621470451355,
"eval_runtime": 672.7088,
"eval_samples_per_second": 7.418,
"eval_steps_per_second": 0.928,
"step": 72
},
{
"epoch": 0.01231859601754978,
"grad_norm": 0.24270500242710114,
"learning_rate": 2.061073738537635e-05,
"loss": 0.6727,
"step": 73
},
{
"epoch": 0.012487343908201148,
"grad_norm": 0.24265378713607788,
"learning_rate": 1.9216926233717085e-05,
"loss": 0.6515,
"step": 74
},
{
"epoch": 0.012656091798852515,
"grad_norm": 0.23576249182224274,
"learning_rate": 1.7860619515673033e-05,
"loss": 0.8245,
"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": 6.181229992869888e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}