mhenrichsen's picture
Upload folder using huggingface_hub
9ab95b7
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.929787234042553,
"eval_steps": 5,
"global_step": 87,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 2e-05,
"loss": 1.9849,
"step": 1
},
{
"epoch": 0.03,
"eval_loss": 2.0810964107513428,
"eval_runtime": 6.2278,
"eval_samples_per_second": 44.96,
"eval_steps_per_second": 5.62,
"step": 1
},
{
"epoch": 0.07,
"learning_rate": 4e-05,
"loss": 1.8931,
"step": 2
},
{
"epoch": 0.1,
"learning_rate": 6e-05,
"loss": 1.763,
"step": 3
},
{
"epoch": 0.14,
"learning_rate": 8e-05,
"loss": 1.6688,
"step": 4
},
{
"epoch": 0.17,
"learning_rate": 0.0001,
"loss": 1.3107,
"step": 5
},
{
"epoch": 0.17,
"eval_loss": 1.1991726160049438,
"eval_runtime": 6.3173,
"eval_samples_per_second": 44.322,
"eval_steps_per_second": 5.54,
"step": 5
},
{
"epoch": 0.2,
"learning_rate": 0.00012,
"loss": 1.1899,
"step": 6
},
{
"epoch": 0.24,
"learning_rate": 0.00014,
"loss": 1.041,
"step": 7
},
{
"epoch": 0.27,
"learning_rate": 0.00016,
"loss": 0.9779,
"step": 8
},
{
"epoch": 0.31,
"learning_rate": 0.00018,
"loss": 0.7671,
"step": 9
},
{
"epoch": 0.34,
"learning_rate": 0.0002,
"loss": 0.6399,
"step": 10
},
{
"epoch": 0.34,
"eval_loss": 0.6359391212463379,
"eval_runtime": 6.2721,
"eval_samples_per_second": 44.642,
"eval_steps_per_second": 5.58,
"step": 10
},
{
"epoch": 0.37,
"learning_rate": 0.0001999167799344583,
"loss": 0.6777,
"step": 11
},
{
"epoch": 0.41,
"learning_rate": 0.00019966725824941932,
"loss": 0.492,
"step": 12
},
{
"epoch": 0.44,
"learning_rate": 0.00019925185024910277,
"loss": 0.3781,
"step": 13
},
{
"epoch": 0.48,
"learning_rate": 0.0001986712473391289,
"loss": 0.4503,
"step": 14
},
{
"epoch": 0.51,
"learning_rate": 0.00019792641587574212,
"loss": 0.2779,
"step": 15
},
{
"epoch": 0.51,
"eval_loss": 0.28619876503944397,
"eval_runtime": 6.3023,
"eval_samples_per_second": 44.428,
"eval_steps_per_second": 5.554,
"step": 15
},
{
"epoch": 0.54,
"learning_rate": 0.00019701859555740648,
"loss": 0.2658,
"step": 16
},
{
"epoch": 0.58,
"learning_rate": 0.00019594929736144976,
"loss": 0.2282,
"step": 17
},
{
"epoch": 0.61,
"learning_rate": 0.000194720301029191,
"loss": 0.2149,
"step": 18
},
{
"epoch": 0.65,
"learning_rate": 0.0001933336521037367,
"loss": 0.1792,
"step": 19
},
{
"epoch": 0.68,
"learning_rate": 0.00019179165852537596,
"loss": 0.1807,
"step": 20
},
{
"epoch": 0.68,
"eval_loss": 0.1634436696767807,
"eval_runtime": 6.2724,
"eval_samples_per_second": 44.64,
"eval_steps_per_second": 5.58,
"step": 20
},
{
"epoch": 0.71,
"learning_rate": 0.0001900968867902419,
"loss": 0.1425,
"step": 21
},
{
"epoch": 0.75,
"learning_rate": 0.00018825215767863214,
"loss": 0.1377,
"step": 22
},
{
"epoch": 0.78,
"learning_rate": 0.00018626054156009806,
"loss": 0.1173,
"step": 23
},
{
"epoch": 0.82,
"learning_rate": 0.00018412535328311814,
"loss": 0.1338,
"step": 24
},
{
"epoch": 0.85,
"learning_rate": 0.00018185014665785936,
"loss": 0.1256,
"step": 25
},
{
"epoch": 0.85,
"eval_loss": 0.1177145466208458,
"eval_runtime": 6.2558,
"eval_samples_per_second": 44.758,
"eval_steps_per_second": 5.595,
"step": 25
},
{
"epoch": 0.89,
"learning_rate": 0.00017943870854121124,
"loss": 0.1234,
"step": 26
},
{
"epoch": 0.92,
"learning_rate": 0.0001768950525339362,
"loss": 0.1164,
"step": 27
},
{
"epoch": 0.95,
"learning_rate": 0.000174223412300427,
"loss": 0.1077,
"step": 28
},
{
"epoch": 0.99,
"learning_rate": 0.00017142823452219038,
"loss": 0.0877,
"step": 29
},
{
"epoch": 1.0,
"learning_rate": 0.00016851417149678444,
"loss": 0.097,
"step": 30
},
{
"epoch": 1.0,
"eval_loss": 0.08908110111951828,
"eval_runtime": 6.274,
"eval_samples_per_second": 44.628,
"eval_steps_per_second": 5.579,
"step": 30
},
{
"epoch": 1.04,
"learning_rate": 0.00016548607339452853,
"loss": 0.0741,
"step": 31
},
{
"epoch": 1.07,
"learning_rate": 0.00016234898018587337,
"loss": 0.0811,
"step": 32
},
{
"epoch": 1.11,
"learning_rate": 0.00015910811325286768,
"loss": 0.0743,
"step": 33
},
{
"epoch": 1.14,
"learning_rate": 0.00015576886669868296,
"loss": 0.0799,
"step": 34
},
{
"epoch": 1.17,
"learning_rate": 0.00015233679836966122,
"loss": 0.1063,
"step": 35
},
{
"epoch": 1.17,
"eval_loss": 0.07344743609428406,
"eval_runtime": 6.3055,
"eval_samples_per_second": 44.406,
"eval_steps_per_second": 5.551,
"step": 35
},
{
"epoch": 1.21,
"learning_rate": 0.00014881762060482814,
"loss": 0.0835,
"step": 36
},
{
"epoch": 1.24,
"learning_rate": 0.00014521719072826858,
"loss": 0.0661,
"step": 37
},
{
"epoch": 1.28,
"learning_rate": 0.00014154150130018866,
"loss": 0.0637,
"step": 38
},
{
"epoch": 1.31,
"learning_rate": 0.00013779667014289065,
"loss": 0.0642,
"step": 39
},
{
"epoch": 1.34,
"learning_rate": 0.00013398893015826167,
"loss": 0.0769,
"step": 40
},
{
"epoch": 1.34,
"eval_loss": 0.07225509732961655,
"eval_runtime": 6.2831,
"eval_samples_per_second": 44.564,
"eval_steps_per_second": 5.571,
"step": 40
},
{
"epoch": 1.38,
"learning_rate": 0.00013012461895372344,
"loss": 0.0746,
"step": 41
},
{
"epoch": 1.41,
"learning_rate": 0.00012621016829391022,
"loss": 0.0592,
"step": 42
},
{
"epoch": 1.45,
"learning_rate": 0.00012225209339563145,
"loss": 0.078,
"step": 43
},
{
"epoch": 1.48,
"learning_rate": 0.00011825698208393619,
"loss": 0.088,
"step": 44
},
{
"epoch": 1.51,
"learning_rate": 0.00011423148382732853,
"loss": 0.0694,
"step": 45
},
{
"epoch": 1.51,
"eval_loss": 0.06333146244287491,
"eval_runtime": 6.2803,
"eval_samples_per_second": 44.584,
"eval_steps_per_second": 5.573,
"step": 45
},
{
"epoch": 1.55,
"learning_rate": 0.00011018229867038356,
"loss": 0.0591,
"step": 46
},
{
"epoch": 1.58,
"learning_rate": 0.00010611616608218429,
"loss": 0.0646,
"step": 47
},
{
"epoch": 1.62,
"learning_rate": 0.00010203985373914056,
"loss": 0.068,
"step": 48
},
{
"epoch": 1.65,
"learning_rate": 9.79601462608595e-05,
"loss": 0.055,
"step": 49
},
{
"epoch": 1.69,
"learning_rate": 9.388383391781575e-05,
"loss": 0.0687,
"step": 50
},
{
"epoch": 1.69,
"eval_loss": 0.06235363706946373,
"eval_runtime": 6.2849,
"eval_samples_per_second": 44.551,
"eval_steps_per_second": 5.569,
"step": 50
},
{
"epoch": 1.72,
"learning_rate": 8.981770132961649e-05,
"loss": 0.0643,
"step": 51
},
{
"epoch": 1.75,
"learning_rate": 8.57685161726715e-05,
"loss": 0.0589,
"step": 52
},
{
"epoch": 1.79,
"learning_rate": 8.174301791606385e-05,
"loss": 0.0729,
"step": 53
},
{
"epoch": 1.82,
"learning_rate": 7.774790660436858e-05,
"loss": 0.0553,
"step": 54
},
{
"epoch": 1.86,
"learning_rate": 7.378983170608982e-05,
"loss": 0.0575,
"step": 55
},
{
"epoch": 1.86,
"eval_loss": 0.062243152409791946,
"eval_runtime": 6.2854,
"eval_samples_per_second": 44.548,
"eval_steps_per_second": 5.568,
"step": 55
},
{
"epoch": 1.89,
"learning_rate": 6.98753810462766e-05,
"loss": 0.0675,
"step": 56
},
{
"epoch": 1.92,
"learning_rate": 6.601106984173835e-05,
"loss": 0.068,
"step": 57
},
{
"epoch": 1.96,
"learning_rate": 6.220332985710936e-05,
"loss": 0.0601,
"step": 58
},
{
"epoch": 1.99,
"learning_rate": 5.845849869981137e-05,
"loss": 0.0764,
"step": 59
},
{
"epoch": 2.01,
"learning_rate": 5.478280927173145e-05,
"loss": 0.0516,
"step": 60
},
{
"epoch": 2.01,
"eval_loss": 0.060868892818689346,
"eval_runtime": 5.9359,
"eval_samples_per_second": 47.171,
"eval_steps_per_second": 5.896,
"step": 60
},
{
"epoch": 2.04,
"learning_rate": 5.11823793951719e-05,
"loss": 0.0516,
"step": 61
},
{
"epoch": 2.08,
"learning_rate": 4.7663201630338816e-05,
"loss": 0.0543,
"step": 62
},
{
"epoch": 2.11,
"learning_rate": 4.423113330131707e-05,
"loss": 0.0519,
"step": 63
},
{
"epoch": 2.15,
"learning_rate": 4.089188674713236e-05,
"loss": 0.0602,
"step": 64
},
{
"epoch": 2.18,
"learning_rate": 3.7651019814126654e-05,
"loss": 0.0582,
"step": 65
},
{
"epoch": 2.18,
"eval_loss": 0.060279980301856995,
"eval_runtime": 5.9625,
"eval_samples_per_second": 46.96,
"eval_steps_per_second": 5.87,
"step": 65
},
{
"epoch": 2.21,
"learning_rate": 3.45139266054715e-05,
"loss": 0.055,
"step": 66
},
{
"epoch": 2.25,
"learning_rate": 3.1485828503215585e-05,
"loss": 0.0515,
"step": 67
},
{
"epoch": 2.28,
"learning_rate": 2.8571765477809643e-05,
"loss": 0.0515,
"step": 68
},
{
"epoch": 2.32,
"learning_rate": 2.5776587699573006e-05,
"loss": 0.0497,
"step": 69
},
{
"epoch": 2.35,
"learning_rate": 2.3104947466063787e-05,
"loss": 0.0611,
"step": 70
},
{
"epoch": 2.35,
"eval_loss": 0.05999369919300079,
"eval_runtime": 5.9591,
"eval_samples_per_second": 46.987,
"eval_steps_per_second": 5.873,
"step": 70
},
{
"epoch": 2.39,
"learning_rate": 2.0561291458788733e-05,
"loss": 0.0564,
"step": 71
},
{
"epoch": 2.42,
"learning_rate": 1.8149853342140645e-05,
"loss": 0.0498,
"step": 72
},
{
"epoch": 2.45,
"learning_rate": 1.587464671688187e-05,
"loss": 0.0503,
"step": 73
},
{
"epoch": 2.49,
"learning_rate": 1.373945843990192e-05,
"loss": 0.0494,
"step": 74
},
{
"epoch": 2.52,
"learning_rate": 1.1747842321367886e-05,
"loss": 0.0515,
"step": 75
},
{
"epoch": 2.52,
"eval_loss": 0.05982312187552452,
"eval_runtime": 5.856,
"eval_samples_per_second": 47.814,
"eval_steps_per_second": 5.977,
"step": 75
},
{
"epoch": 2.56,
"learning_rate": 9.903113209758096e-06,
"loss": 0.0508,
"step": 76
},
{
"epoch": 2.59,
"learning_rate": 8.208341474624071e-06,
"loss": 0.0596,
"step": 77
},
{
"epoch": 2.62,
"learning_rate": 6.666347896263325e-06,
"loss": 0.0606,
"step": 78
},
{
"epoch": 2.66,
"learning_rate": 5.27969897080901e-06,
"loss": 0.0484,
"step": 79
},
{
"epoch": 2.69,
"learning_rate": 4.050702638550275e-06,
"loss": 0.0704,
"step": 80
},
{
"epoch": 2.69,
"eval_loss": 0.05977718159556389,
"eval_runtime": 5.9454,
"eval_samples_per_second": 47.095,
"eval_steps_per_second": 5.887,
"step": 80
},
{
"epoch": 2.73,
"learning_rate": 2.9814044425935606e-06,
"loss": 0.0534,
"step": 81
},
{
"epoch": 2.76,
"learning_rate": 2.073584124257899e-06,
"loss": 0.0765,
"step": 82
},
{
"epoch": 2.79,
"learning_rate": 1.3287526608711131e-06,
"loss": 0.0557,
"step": 83
},
{
"epoch": 2.83,
"learning_rate": 7.481497508972312e-07,
"loss": 0.056,
"step": 84
},
{
"epoch": 2.86,
"learning_rate": 3.3274175058067846e-07,
"loss": 0.0525,
"step": 85
},
{
"epoch": 2.86,
"eval_loss": 0.05975683405995369,
"eval_runtime": 5.9096,
"eval_samples_per_second": 47.381,
"eval_steps_per_second": 5.923,
"step": 85
},
{
"epoch": 2.9,
"learning_rate": 8.322006554171146e-08,
"loss": 0.055,
"step": 86
},
{
"epoch": 2.93,
"learning_rate": 0.0,
"loss": 0.0625,
"step": 87
}
],
"logging_steps": 1,
"max_steps": 87,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 5.5952097199364506e+17,
"trial_name": null,
"trial_params": null
}