809 lines
19 KiB
JSON
809 lines
19 KiB
JSON
{
|
|
"best_global_step": null,
|
|
"best_metric": null,
|
|
"best_model_checkpoint": null,
|
|
"epoch": 1.0,
|
|
"eval_steps": 10,
|
|
"global_step": 99,
|
|
"is_hyper_param_search": false,
|
|
"is_local_process_zero": true,
|
|
"is_world_process_zero": true,
|
|
"log_history": [
|
|
{
|
|
"epoch": 0.010101010101010102,
|
|
"grad_norm": 9.4375,
|
|
"learning_rate": 0.0,
|
|
"loss": 2.1559,
|
|
"step": 1
|
|
},
|
|
{
|
|
"epoch": 0.020202020202020204,
|
|
"grad_norm": 9.875,
|
|
"learning_rate": 2.0000000000000003e-06,
|
|
"loss": 2.3059,
|
|
"step": 2
|
|
},
|
|
{
|
|
"epoch": 0.030303030303030304,
|
|
"grad_norm": 11.75,
|
|
"learning_rate": 4.000000000000001e-06,
|
|
"loss": 2.3407,
|
|
"step": 3
|
|
},
|
|
{
|
|
"epoch": 0.04040404040404041,
|
|
"grad_norm": 10.375,
|
|
"learning_rate": 6e-06,
|
|
"loss": 2.3596,
|
|
"step": 4
|
|
},
|
|
{
|
|
"epoch": 0.050505050505050504,
|
|
"grad_norm": 9.75,
|
|
"learning_rate": 8.000000000000001e-06,
|
|
"loss": 2.1863,
|
|
"step": 5
|
|
},
|
|
{
|
|
"epoch": 0.06060606060606061,
|
|
"grad_norm": 8.25,
|
|
"learning_rate": 1e-05,
|
|
"loss": 2.1556,
|
|
"step": 6
|
|
},
|
|
{
|
|
"epoch": 0.0707070707070707,
|
|
"grad_norm": 9.8125,
|
|
"learning_rate": 9.893617021276596e-06,
|
|
"loss": 2.1315,
|
|
"step": 7
|
|
},
|
|
{
|
|
"epoch": 0.08080808080808081,
|
|
"grad_norm": 7.0,
|
|
"learning_rate": 9.787234042553192e-06,
|
|
"loss": 1.7968,
|
|
"step": 8
|
|
},
|
|
{
|
|
"epoch": 0.09090909090909091,
|
|
"grad_norm": 4.1875,
|
|
"learning_rate": 9.680851063829787e-06,
|
|
"loss": 1.7795,
|
|
"step": 9
|
|
},
|
|
{
|
|
"epoch": 0.10101010101010101,
|
|
"grad_norm": 2.953125,
|
|
"learning_rate": 9.574468085106385e-06,
|
|
"loss": 1.69,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 0.10101010101010101,
|
|
"eval_loss": 1.81484854221344,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1829,
|
|
"eval_samples_per_second": 45.242,
|
|
"eval_steps_per_second": 22.621,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 0.1111111111111111,
|
|
"grad_norm": 2.8125,
|
|
"learning_rate": 9.46808510638298e-06,
|
|
"loss": 1.6374,
|
|
"step": 11
|
|
},
|
|
{
|
|
"epoch": 0.12121212121212122,
|
|
"grad_norm": 2.84375,
|
|
"learning_rate": 9.361702127659576e-06,
|
|
"loss": 1.8449,
|
|
"step": 12
|
|
},
|
|
{
|
|
"epoch": 0.13131313131313133,
|
|
"grad_norm": 2.515625,
|
|
"learning_rate": 9.255319148936171e-06,
|
|
"loss": 1.6733,
|
|
"step": 13
|
|
},
|
|
{
|
|
"epoch": 0.1414141414141414,
|
|
"grad_norm": 2.453125,
|
|
"learning_rate": 9.148936170212767e-06,
|
|
"loss": 1.5624,
|
|
"step": 14
|
|
},
|
|
{
|
|
"epoch": 0.15151515151515152,
|
|
"grad_norm": 2.28125,
|
|
"learning_rate": 9.042553191489362e-06,
|
|
"loss": 1.4991,
|
|
"step": 15
|
|
},
|
|
{
|
|
"epoch": 0.16161616161616163,
|
|
"grad_norm": 2.328125,
|
|
"learning_rate": 8.936170212765958e-06,
|
|
"loss": 1.7474,
|
|
"step": 16
|
|
},
|
|
{
|
|
"epoch": 0.1717171717171717,
|
|
"grad_norm": 2.109375,
|
|
"learning_rate": 8.829787234042555e-06,
|
|
"loss": 1.6492,
|
|
"step": 17
|
|
},
|
|
{
|
|
"epoch": 0.18181818181818182,
|
|
"grad_norm": 2.15625,
|
|
"learning_rate": 8.72340425531915e-06,
|
|
"loss": 1.59,
|
|
"step": 18
|
|
},
|
|
{
|
|
"epoch": 0.1919191919191919,
|
|
"grad_norm": 1.828125,
|
|
"learning_rate": 8.617021276595746e-06,
|
|
"loss": 1.5473,
|
|
"step": 19
|
|
},
|
|
{
|
|
"epoch": 0.20202020202020202,
|
|
"grad_norm": 2.078125,
|
|
"learning_rate": 8.510638297872341e-06,
|
|
"loss": 1.6566,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 0.20202020202020202,
|
|
"eval_loss": 1.6047254800796509,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1634,
|
|
"eval_samples_per_second": 45.521,
|
|
"eval_steps_per_second": 22.761,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 0.21212121212121213,
|
|
"grad_norm": 1.9296875,
|
|
"learning_rate": 8.404255319148937e-06,
|
|
"loss": 1.3761,
|
|
"step": 21
|
|
},
|
|
{
|
|
"epoch": 0.2222222222222222,
|
|
"grad_norm": 1.7890625,
|
|
"learning_rate": 8.297872340425532e-06,
|
|
"loss": 1.5307,
|
|
"step": 22
|
|
},
|
|
{
|
|
"epoch": 0.23232323232323232,
|
|
"grad_norm": 2.015625,
|
|
"learning_rate": 8.191489361702128e-06,
|
|
"loss": 1.6108,
|
|
"step": 23
|
|
},
|
|
{
|
|
"epoch": 0.24242424242424243,
|
|
"grad_norm": 1.9296875,
|
|
"learning_rate": 8.085106382978723e-06,
|
|
"loss": 1.5662,
|
|
"step": 24
|
|
},
|
|
{
|
|
"epoch": 0.25252525252525254,
|
|
"grad_norm": 1.9609375,
|
|
"learning_rate": 7.97872340425532e-06,
|
|
"loss": 1.6447,
|
|
"step": 25
|
|
},
|
|
{
|
|
"epoch": 0.26262626262626265,
|
|
"grad_norm": 1.84375,
|
|
"learning_rate": 7.872340425531916e-06,
|
|
"loss": 1.5652,
|
|
"step": 26
|
|
},
|
|
{
|
|
"epoch": 0.2727272727272727,
|
|
"grad_norm": 1.78125,
|
|
"learning_rate": 7.765957446808511e-06,
|
|
"loss": 1.5465,
|
|
"step": 27
|
|
},
|
|
{
|
|
"epoch": 0.2828282828282828,
|
|
"grad_norm": 1.7265625,
|
|
"learning_rate": 7.659574468085107e-06,
|
|
"loss": 1.4737,
|
|
"step": 28
|
|
},
|
|
{
|
|
"epoch": 0.29292929292929293,
|
|
"grad_norm": 1.765625,
|
|
"learning_rate": 7.553191489361703e-06,
|
|
"loss": 1.4285,
|
|
"step": 29
|
|
},
|
|
{
|
|
"epoch": 0.30303030303030304,
|
|
"grad_norm": 1.7578125,
|
|
"learning_rate": 7.446808510638298e-06,
|
|
"loss": 1.5278,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 0.30303030303030304,
|
|
"eval_loss": 1.4933972358703613,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1671,
|
|
"eval_samples_per_second": 45.467,
|
|
"eval_steps_per_second": 22.733,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 0.31313131313131315,
|
|
"grad_norm": 1.6171875,
|
|
"learning_rate": 7.340425531914894e-06,
|
|
"loss": 1.317,
|
|
"step": 31
|
|
},
|
|
{
|
|
"epoch": 0.32323232323232326,
|
|
"grad_norm": 1.796875,
|
|
"learning_rate": 7.234042553191491e-06,
|
|
"loss": 1.5716,
|
|
"step": 32
|
|
},
|
|
{
|
|
"epoch": 0.3333333333333333,
|
|
"grad_norm": 1.640625,
|
|
"learning_rate": 7.127659574468085e-06,
|
|
"loss": 1.3389,
|
|
"step": 33
|
|
},
|
|
{
|
|
"epoch": 0.3434343434343434,
|
|
"grad_norm": 1.6875,
|
|
"learning_rate": 7.021276595744682e-06,
|
|
"loss": 1.4052,
|
|
"step": 34
|
|
},
|
|
{
|
|
"epoch": 0.35353535353535354,
|
|
"grad_norm": 1.703125,
|
|
"learning_rate": 6.914893617021278e-06,
|
|
"loss": 1.4422,
|
|
"step": 35
|
|
},
|
|
{
|
|
"epoch": 0.36363636363636365,
|
|
"grad_norm": 1.6640625,
|
|
"learning_rate": 6.808510638297873e-06,
|
|
"loss": 1.3351,
|
|
"step": 36
|
|
},
|
|
{
|
|
"epoch": 0.37373737373737376,
|
|
"grad_norm": 1.7265625,
|
|
"learning_rate": 6.702127659574469e-06,
|
|
"loss": 1.4089,
|
|
"step": 37
|
|
},
|
|
{
|
|
"epoch": 0.3838383838383838,
|
|
"grad_norm": 1.734375,
|
|
"learning_rate": 6.595744680851064e-06,
|
|
"loss": 1.3695,
|
|
"step": 38
|
|
},
|
|
{
|
|
"epoch": 0.3939393939393939,
|
|
"grad_norm": 1.7265625,
|
|
"learning_rate": 6.48936170212766e-06,
|
|
"loss": 1.4133,
|
|
"step": 39
|
|
},
|
|
{
|
|
"epoch": 0.40404040404040403,
|
|
"grad_norm": 1.7109375,
|
|
"learning_rate": 6.382978723404256e-06,
|
|
"loss": 1.4619,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 0.40404040404040403,
|
|
"eval_loss": 1.4300950765609741,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1719,
|
|
"eval_samples_per_second": 45.398,
|
|
"eval_steps_per_second": 22.699,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 0.41414141414141414,
|
|
"grad_norm": 1.59375,
|
|
"learning_rate": 6.276595744680851e-06,
|
|
"loss": 1.3818,
|
|
"step": 41
|
|
},
|
|
{
|
|
"epoch": 0.42424242424242425,
|
|
"grad_norm": 1.6875,
|
|
"learning_rate": 6.170212765957447e-06,
|
|
"loss": 1.3216,
|
|
"step": 42
|
|
},
|
|
{
|
|
"epoch": 0.43434343434343436,
|
|
"grad_norm": 1.8671875,
|
|
"learning_rate": 6.063829787234044e-06,
|
|
"loss": 1.5044,
|
|
"step": 43
|
|
},
|
|
{
|
|
"epoch": 0.4444444444444444,
|
|
"grad_norm": 1.7578125,
|
|
"learning_rate": 5.957446808510638e-06,
|
|
"loss": 1.4391,
|
|
"step": 44
|
|
},
|
|
{
|
|
"epoch": 0.45454545454545453,
|
|
"grad_norm": 1.8828125,
|
|
"learning_rate": 5.851063829787235e-06,
|
|
"loss": 1.3796,
|
|
"step": 45
|
|
},
|
|
{
|
|
"epoch": 0.46464646464646464,
|
|
"grad_norm": 1.984375,
|
|
"learning_rate": 5.744680851063831e-06,
|
|
"loss": 1.46,
|
|
"step": 46
|
|
},
|
|
{
|
|
"epoch": 0.47474747474747475,
|
|
"grad_norm": 1.890625,
|
|
"learning_rate": 5.638297872340426e-06,
|
|
"loss": 1.3988,
|
|
"step": 47
|
|
},
|
|
{
|
|
"epoch": 0.48484848484848486,
|
|
"grad_norm": 1.96875,
|
|
"learning_rate": 5.531914893617022e-06,
|
|
"loss": 1.3069,
|
|
"step": 48
|
|
},
|
|
{
|
|
"epoch": 0.494949494949495,
|
|
"grad_norm": 1.890625,
|
|
"learning_rate": 5.425531914893617e-06,
|
|
"loss": 1.3012,
|
|
"step": 49
|
|
},
|
|
{
|
|
"epoch": 0.5050505050505051,
|
|
"grad_norm": 1.8515625,
|
|
"learning_rate": 5.319148936170213e-06,
|
|
"loss": 1.3429,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 0.5050505050505051,
|
|
"eval_loss": 1.3854832649230957,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1645,
|
|
"eval_samples_per_second": 45.504,
|
|
"eval_steps_per_second": 22.752,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 0.5151515151515151,
|
|
"grad_norm": 1.890625,
|
|
"learning_rate": 5.212765957446809e-06,
|
|
"loss": 1.3141,
|
|
"step": 51
|
|
},
|
|
{
|
|
"epoch": 0.5252525252525253,
|
|
"grad_norm": 1.78125,
|
|
"learning_rate": 5.106382978723404e-06,
|
|
"loss": 1.2483,
|
|
"step": 52
|
|
},
|
|
{
|
|
"epoch": 0.5353535353535354,
|
|
"grad_norm": 1.8046875,
|
|
"learning_rate": 5e-06,
|
|
"loss": 1.3407,
|
|
"step": 53
|
|
},
|
|
{
|
|
"epoch": 0.5454545454545454,
|
|
"grad_norm": 1.671875,
|
|
"learning_rate": 4.893617021276596e-06,
|
|
"loss": 1.2189,
|
|
"step": 54
|
|
},
|
|
{
|
|
"epoch": 0.5555555555555556,
|
|
"grad_norm": 1.8359375,
|
|
"learning_rate": 4.787234042553192e-06,
|
|
"loss": 1.3621,
|
|
"step": 55
|
|
},
|
|
{
|
|
"epoch": 0.5656565656565656,
|
|
"grad_norm": 1.765625,
|
|
"learning_rate": 4.680851063829788e-06,
|
|
"loss": 1.3592,
|
|
"step": 56
|
|
},
|
|
{
|
|
"epoch": 0.5757575757575758,
|
|
"grad_norm": 1.8125,
|
|
"learning_rate": 4.574468085106383e-06,
|
|
"loss": 1.3573,
|
|
"step": 57
|
|
},
|
|
{
|
|
"epoch": 0.5858585858585859,
|
|
"grad_norm": 1.7265625,
|
|
"learning_rate": 4.468085106382979e-06,
|
|
"loss": 1.3224,
|
|
"step": 58
|
|
},
|
|
{
|
|
"epoch": 0.5959595959595959,
|
|
"grad_norm": 1.96875,
|
|
"learning_rate": 4.361702127659575e-06,
|
|
"loss": 1.3177,
|
|
"step": 59
|
|
},
|
|
{
|
|
"epoch": 0.6060606060606061,
|
|
"grad_norm": 1.78125,
|
|
"learning_rate": 4.255319148936171e-06,
|
|
"loss": 1.3227,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 0.6060606060606061,
|
|
"eval_loss": 1.356658697128296,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1698,
|
|
"eval_samples_per_second": 45.429,
|
|
"eval_steps_per_second": 22.714,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 0.6161616161616161,
|
|
"grad_norm": 1.8203125,
|
|
"learning_rate": 4.148936170212766e-06,
|
|
"loss": 1.3576,
|
|
"step": 61
|
|
},
|
|
{
|
|
"epoch": 0.6262626262626263,
|
|
"grad_norm": 1.7421875,
|
|
"learning_rate": 4.042553191489362e-06,
|
|
"loss": 1.2874,
|
|
"step": 62
|
|
},
|
|
{
|
|
"epoch": 0.6363636363636364,
|
|
"grad_norm": 1.7890625,
|
|
"learning_rate": 3.936170212765958e-06,
|
|
"loss": 1.2097,
|
|
"step": 63
|
|
},
|
|
{
|
|
"epoch": 0.6464646464646465,
|
|
"grad_norm": 1.765625,
|
|
"learning_rate": 3.8297872340425535e-06,
|
|
"loss": 1.2487,
|
|
"step": 64
|
|
},
|
|
{
|
|
"epoch": 0.6565656565656566,
|
|
"grad_norm": 1.9765625,
|
|
"learning_rate": 3.723404255319149e-06,
|
|
"loss": 1.3143,
|
|
"step": 65
|
|
},
|
|
{
|
|
"epoch": 0.6666666666666666,
|
|
"grad_norm": 1.9296875,
|
|
"learning_rate": 3.6170212765957453e-06,
|
|
"loss": 1.3207,
|
|
"step": 66
|
|
},
|
|
{
|
|
"epoch": 0.6767676767676768,
|
|
"grad_norm": 1.796875,
|
|
"learning_rate": 3.510638297872341e-06,
|
|
"loss": 1.4014,
|
|
"step": 67
|
|
},
|
|
{
|
|
"epoch": 0.6868686868686869,
|
|
"grad_norm": 1.8671875,
|
|
"learning_rate": 3.4042553191489363e-06,
|
|
"loss": 1.2789,
|
|
"step": 68
|
|
},
|
|
{
|
|
"epoch": 0.696969696969697,
|
|
"grad_norm": 1.7734375,
|
|
"learning_rate": 3.297872340425532e-06,
|
|
"loss": 1.3333,
|
|
"step": 69
|
|
},
|
|
{
|
|
"epoch": 0.7070707070707071,
|
|
"grad_norm": 2.015625,
|
|
"learning_rate": 3.191489361702128e-06,
|
|
"loss": 1.4142,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 0.7070707070707071,
|
|
"eval_loss": 1.336801528930664,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1642,
|
|
"eval_samples_per_second": 45.51,
|
|
"eval_steps_per_second": 22.755,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 0.7171717171717171,
|
|
"grad_norm": 1.859375,
|
|
"learning_rate": 3.0851063829787237e-06,
|
|
"loss": 1.3983,
|
|
"step": 71
|
|
},
|
|
{
|
|
"epoch": 0.7272727272727273,
|
|
"grad_norm": 1.875,
|
|
"learning_rate": 2.978723404255319e-06,
|
|
"loss": 1.3606,
|
|
"step": 72
|
|
},
|
|
{
|
|
"epoch": 0.7373737373737373,
|
|
"grad_norm": 1.9140625,
|
|
"learning_rate": 2.8723404255319155e-06,
|
|
"loss": 1.4158,
|
|
"step": 73
|
|
},
|
|
{
|
|
"epoch": 0.7474747474747475,
|
|
"grad_norm": 2.015625,
|
|
"learning_rate": 2.765957446808511e-06,
|
|
"loss": 1.273,
|
|
"step": 74
|
|
},
|
|
{
|
|
"epoch": 0.7575757575757576,
|
|
"grad_norm": 1.8203125,
|
|
"learning_rate": 2.6595744680851065e-06,
|
|
"loss": 1.2416,
|
|
"step": 75
|
|
},
|
|
{
|
|
"epoch": 0.7676767676767676,
|
|
"grad_norm": 1.8203125,
|
|
"learning_rate": 2.553191489361702e-06,
|
|
"loss": 1.3183,
|
|
"step": 76
|
|
},
|
|
{
|
|
"epoch": 0.7777777777777778,
|
|
"grad_norm": 1.75,
|
|
"learning_rate": 2.446808510638298e-06,
|
|
"loss": 1.2538,
|
|
"step": 77
|
|
},
|
|
{
|
|
"epoch": 0.7878787878787878,
|
|
"grad_norm": 1.9375,
|
|
"learning_rate": 2.340425531914894e-06,
|
|
"loss": 1.2425,
|
|
"step": 78
|
|
},
|
|
{
|
|
"epoch": 0.797979797979798,
|
|
"grad_norm": 1.7890625,
|
|
"learning_rate": 2.2340425531914894e-06,
|
|
"loss": 1.2664,
|
|
"step": 79
|
|
},
|
|
{
|
|
"epoch": 0.8080808080808081,
|
|
"grad_norm": 1.8515625,
|
|
"learning_rate": 2.1276595744680853e-06,
|
|
"loss": 1.3056,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 0.8080808080808081,
|
|
"eval_loss": 1.3236327171325684,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1591,
|
|
"eval_samples_per_second": 45.583,
|
|
"eval_steps_per_second": 22.792,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 0.8181818181818182,
|
|
"grad_norm": 1.6875,
|
|
"learning_rate": 2.021276595744681e-06,
|
|
"loss": 1.2309,
|
|
"step": 81
|
|
},
|
|
{
|
|
"epoch": 0.8282828282828283,
|
|
"grad_norm": 2.125,
|
|
"learning_rate": 1.9148936170212767e-06,
|
|
"loss": 1.3102,
|
|
"step": 82
|
|
},
|
|
{
|
|
"epoch": 0.8383838383838383,
|
|
"grad_norm": 2.03125,
|
|
"learning_rate": 1.8085106382978727e-06,
|
|
"loss": 1.2998,
|
|
"step": 83
|
|
},
|
|
{
|
|
"epoch": 0.8484848484848485,
|
|
"grad_norm": 1.90625,
|
|
"learning_rate": 1.7021276595744682e-06,
|
|
"loss": 1.3077,
|
|
"step": 84
|
|
},
|
|
{
|
|
"epoch": 0.8585858585858586,
|
|
"grad_norm": 1.9140625,
|
|
"learning_rate": 1.595744680851064e-06,
|
|
"loss": 1.3,
|
|
"step": 85
|
|
},
|
|
{
|
|
"epoch": 0.8686868686868687,
|
|
"grad_norm": 1.6953125,
|
|
"learning_rate": 1.4893617021276596e-06,
|
|
"loss": 1.2836,
|
|
"step": 86
|
|
},
|
|
{
|
|
"epoch": 0.8787878787878788,
|
|
"grad_norm": 2.015625,
|
|
"learning_rate": 1.3829787234042555e-06,
|
|
"loss": 1.2684,
|
|
"step": 87
|
|
},
|
|
{
|
|
"epoch": 0.8888888888888888,
|
|
"grad_norm": 2.0,
|
|
"learning_rate": 1.276595744680851e-06,
|
|
"loss": 1.2866,
|
|
"step": 88
|
|
},
|
|
{
|
|
"epoch": 0.898989898989899,
|
|
"grad_norm": 1.875,
|
|
"learning_rate": 1.170212765957447e-06,
|
|
"loss": 1.4256,
|
|
"step": 89
|
|
},
|
|
{
|
|
"epoch": 0.9090909090909091,
|
|
"grad_norm": 1.875,
|
|
"learning_rate": 1.0638297872340427e-06,
|
|
"loss": 1.2093,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 0.9090909090909091,
|
|
"eval_loss": 1.31633722782135,
|
|
"eval_model_preparation_time": 0.0169,
|
|
"eval_runtime": 3.1542,
|
|
"eval_samples_per_second": 45.653,
|
|
"eval_steps_per_second": 22.827,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 0.9191919191919192,
|
|
"grad_norm": 1.8359375,
|
|
"learning_rate": 9.574468085106384e-07,
|
|
"loss": 1.3478,
|
|
"step": 91
|
|
},
|
|
{
|
|
"epoch": 0.9292929292929293,
|
|
"grad_norm": 2.1875,
|
|
"learning_rate": 8.510638297872341e-07,
|
|
"loss": 1.2843,
|
|
"step": 92
|
|
},
|
|
{
|
|
"epoch": 0.9393939393939394,
|
|
"grad_norm": 1.8125,
|
|
"learning_rate": 7.446808510638298e-07,
|
|
"loss": 1.2619,
|
|
"step": 93
|
|
},
|
|
{
|
|
"epoch": 0.9494949494949495,
|
|
"grad_norm": 1.6875,
|
|
"learning_rate": 6.382978723404255e-07,
|
|
"loss": 1.3074,
|
|
"step": 94
|
|
},
|
|
{
|
|
"epoch": 0.9595959595959596,
|
|
"grad_norm": 1.921875,
|
|
"learning_rate": 5.319148936170213e-07,
|
|
"loss": 1.3186,
|
|
"step": 95
|
|
},
|
|
{
|
|
"epoch": 0.9696969696969697,
|
|
"grad_norm": 2.03125,
|
|
"learning_rate": 4.2553191489361704e-07,
|
|
"loss": 1.3499,
|
|
"step": 96
|
|
},
|
|
{
|
|
"epoch": 0.9797979797979798,
|
|
"grad_norm": 2.0,
|
|
"learning_rate": 3.1914893617021275e-07,
|
|
"loss": 1.2827,
|
|
"step": 97
|
|
},
|
|
{
|
|
"epoch": 0.98989898989899,
|
|
"grad_norm": 1.859375,
|
|
"learning_rate": 2.1276595744680852e-07,
|
|
"loss": 1.1419,
|
|
"step": 98
|
|
},
|
|
{
|
|
"epoch": 1.0,
|
|
"grad_norm": 1.8828125,
|
|
"learning_rate": 1.0638297872340426e-07,
|
|
"loss": 1.2356,
|
|
"step": 99
|
|
}
|
|
],
|
|
"logging_steps": 1,
|
|
"max_steps": 99,
|
|
"num_input_tokens_seen": 0,
|
|
"num_train_epochs": 1,
|
|
"save_steps": 5000,
|
|
"stateful_callbacks": {
|
|
"TrainerControl": {
|
|
"args": {
|
|
"should_epoch_stop": false,
|
|
"should_evaluate": false,
|
|
"should_log": false,
|
|
"should_save": true,
|
|
"should_training_stop": true
|
|
},
|
|
"attributes": {}
|
|
}
|
|
},
|
|
"total_flos": 1.5524656076046336e+16,
|
|
"train_batch_size": 2,
|
|
"trial_name": null,
|
|
"trial_params": null
|
|
}
|