fengyao1909's picture
Upload folder using huggingface_hub
6b0d175 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 57,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.017543859649122806,
"grad_norm": 2.1743679382834613,
"learning_rate": 0.0,
"loss": 0.8567,
"step": 1
},
{
"epoch": 0.03508771929824561,
"grad_norm": 2.065936532100158,
"learning_rate": 6.666666666666667e-07,
"loss": 0.8846,
"step": 2
},
{
"epoch": 0.05263157894736842,
"grad_norm": 2.2592127802227417,
"learning_rate": 1.3333333333333334e-06,
"loss": 1.0293,
"step": 3
},
{
"epoch": 0.07017543859649122,
"grad_norm": 2.3463436185497395,
"learning_rate": 2.0000000000000003e-06,
"loss": 1.0703,
"step": 4
},
{
"epoch": 0.08771929824561403,
"grad_norm": 2.1002183137442683,
"learning_rate": 2.666666666666667e-06,
"loss": 0.8644,
"step": 5
},
{
"epoch": 0.10526315789473684,
"grad_norm": 2.0847937124442115,
"learning_rate": 3.3333333333333333e-06,
"loss": 1.0164,
"step": 6
},
{
"epoch": 0.12280701754385964,
"grad_norm": 1.7185938121052617,
"learning_rate": 4.000000000000001e-06,
"loss": 1.0055,
"step": 7
},
{
"epoch": 0.14035087719298245,
"grad_norm": 1.7374042391478925,
"learning_rate": 4.666666666666667e-06,
"loss": 0.9546,
"step": 8
},
{
"epoch": 0.15789473684210525,
"grad_norm": 1.5314517018400144,
"learning_rate": 5.333333333333334e-06,
"loss": 0.9692,
"step": 9
},
{
"epoch": 0.17543859649122806,
"grad_norm": 1.2378039020716545,
"learning_rate": 6e-06,
"loss": 0.9946,
"step": 10
},
{
"epoch": 0.19298245614035087,
"grad_norm": 1.29478501876491,
"learning_rate": 6.666666666666667e-06,
"loss": 1.0377,
"step": 11
},
{
"epoch": 0.21052631578947367,
"grad_norm": 1.4543552489625455,
"learning_rate": 7.333333333333333e-06,
"loss": 0.9065,
"step": 12
},
{
"epoch": 0.22807017543859648,
"grad_norm": 1.4859158978308853,
"learning_rate": 8.000000000000001e-06,
"loss": 0.9426,
"step": 13
},
{
"epoch": 0.24561403508771928,
"grad_norm": 1.437617755966179,
"learning_rate": 8.666666666666668e-06,
"loss": 0.9205,
"step": 14
},
{
"epoch": 0.2631578947368421,
"grad_norm": 1.280823019336999,
"learning_rate": 9.333333333333334e-06,
"loss": 0.9789,
"step": 15
},
{
"epoch": 0.2807017543859649,
"grad_norm": 1.3096294502362182,
"learning_rate": 1e-05,
"loss": 0.93,
"step": 16
},
{
"epoch": 0.2982456140350877,
"grad_norm": 1.3902944737940592,
"learning_rate": 9.999661540018812e-06,
"loss": 1.0273,
"step": 17
},
{
"epoch": 0.3157894736842105,
"grad_norm": 1.3866472808835544,
"learning_rate": 9.99864620589731e-06,
"loss": 0.9108,
"step": 18
},
{
"epoch": 0.3333333333333333,
"grad_norm": 1.0976269555809974,
"learning_rate": 9.99695413509548e-06,
"loss": 0.9311,
"step": 19
},
{
"epoch": 0.3508771929824561,
"grad_norm": 0.9581466026044247,
"learning_rate": 9.994585556692624e-06,
"loss": 0.9664,
"step": 20
},
{
"epoch": 0.3684210526315789,
"grad_norm": 0.8742061741880427,
"learning_rate": 9.991540791356342e-06,
"loss": 0.9042,
"step": 21
},
{
"epoch": 0.38596491228070173,
"grad_norm": 0.8127242286364288,
"learning_rate": 9.987820251299121e-06,
"loss": 0.7719,
"step": 22
},
{
"epoch": 0.40350877192982454,
"grad_norm": 0.9218648947648101,
"learning_rate": 9.98342444022253e-06,
"loss": 0.9057,
"step": 23
},
{
"epoch": 0.42105263157894735,
"grad_norm": 0.7985103108366662,
"learning_rate": 9.978353953249023e-06,
"loss": 0.8032,
"step": 24
},
{
"epoch": 0.43859649122807015,
"grad_norm": 0.8519004929440739,
"learning_rate": 9.972609476841368e-06,
"loss": 0.9328,
"step": 25
},
{
"epoch": 0.45614035087719296,
"grad_norm": 0.9321320761136158,
"learning_rate": 9.966191788709716e-06,
"loss": 0.897,
"step": 26
},
{
"epoch": 0.47368421052631576,
"grad_norm": 1.1881269834015444,
"learning_rate": 9.959101757706308e-06,
"loss": 0.8169,
"step": 27
},
{
"epoch": 0.49122807017543857,
"grad_norm": 0.7693003217933029,
"learning_rate": 9.951340343707852e-06,
"loss": 0.8854,
"step": 28
},
{
"epoch": 0.5087719298245614,
"grad_norm": 0.6825700058048908,
"learning_rate": 9.942908597485558e-06,
"loss": 0.9067,
"step": 29
},
{
"epoch": 0.5263157894736842,
"grad_norm": 0.5987346031153414,
"learning_rate": 9.933807660562898e-06,
"loss": 0.7924,
"step": 30
},
{
"epoch": 0.543859649122807,
"grad_norm": 0.5548910090458355,
"learning_rate": 9.924038765061042e-06,
"loss": 0.8482,
"step": 31
},
{
"epoch": 0.5614035087719298,
"grad_norm": 0.5383543839380202,
"learning_rate": 9.913603233532067e-06,
"loss": 0.7789,
"step": 32
},
{
"epoch": 0.5789473684210527,
"grad_norm": 0.7299192422724775,
"learning_rate": 9.902502478779897e-06,
"loss": 0.8773,
"step": 33
},
{
"epoch": 0.5964912280701754,
"grad_norm": 0.6922732156258199,
"learning_rate": 9.890738003669029e-06,
"loss": 0.9766,
"step": 34
},
{
"epoch": 0.6140350877192983,
"grad_norm": 0.6246419836484991,
"learning_rate": 9.878311400921072e-06,
"loss": 0.8212,
"step": 35
},
{
"epoch": 0.631578947368421,
"grad_norm": 1.1220803760331017,
"learning_rate": 9.86522435289912e-06,
"loss": 0.8362,
"step": 36
},
{
"epoch": 0.6491228070175439,
"grad_norm": 0.5667320037510573,
"learning_rate": 9.851478631379982e-06,
"loss": 0.8713,
"step": 37
},
{
"epoch": 0.6666666666666666,
"grad_norm": 0.5410348279430676,
"learning_rate": 9.83707609731432e-06,
"loss": 0.8842,
"step": 38
},
{
"epoch": 0.6842105263157895,
"grad_norm": 0.641889612832866,
"learning_rate": 9.822018700574696e-06,
"loss": 0.9068,
"step": 39
},
{
"epoch": 0.7017543859649122,
"grad_norm": 0.4916947719279244,
"learning_rate": 9.806308479691595e-06,
"loss": 0.8728,
"step": 40
},
{
"epoch": 0.7192982456140351,
"grad_norm": 0.5400784001882519,
"learning_rate": 9.789947561577445e-06,
"loss": 0.8773,
"step": 41
},
{
"epoch": 0.7368421052631579,
"grad_norm": 0.5399508837893761,
"learning_rate": 9.77293816123866e-06,
"loss": 0.8126,
"step": 42
},
{
"epoch": 0.7543859649122807,
"grad_norm": 0.5248163734594365,
"learning_rate": 9.755282581475769e-06,
"loss": 0.8451,
"step": 43
},
{
"epoch": 0.7719298245614035,
"grad_norm": 0.5195803755313205,
"learning_rate": 9.736983212571646e-06,
"loss": 0.7615,
"step": 44
},
{
"epoch": 0.7894736842105263,
"grad_norm": 0.49652590728770457,
"learning_rate": 9.718042531967918e-06,
"loss": 0.8785,
"step": 45
},
{
"epoch": 0.8070175438596491,
"grad_norm": 0.5477983890922427,
"learning_rate": 9.698463103929542e-06,
"loss": 0.8549,
"step": 46
},
{
"epoch": 0.8245614035087719,
"grad_norm": 0.6631860895060182,
"learning_rate": 9.678247579197658e-06,
"loss": 0.8591,
"step": 47
},
{
"epoch": 0.8421052631578947,
"grad_norm": 0.4379914410432218,
"learning_rate": 9.657398694630713e-06,
"loss": 0.8438,
"step": 48
},
{
"epoch": 0.8596491228070176,
"grad_norm": 0.5118173798397813,
"learning_rate": 9.635919272833938e-06,
"loss": 0.9355,
"step": 49
},
{
"epoch": 0.8771929824561403,
"grad_norm": 0.4499149257988012,
"learning_rate": 9.613812221777212e-06,
"loss": 0.6753,
"step": 50
},
{
"epoch": 0.8947368421052632,
"grad_norm": 0.4918824458174192,
"learning_rate": 9.591080534401371e-06,
"loss": 0.9046,
"step": 51
},
{
"epoch": 0.9122807017543859,
"grad_norm": 0.48310664704359907,
"learning_rate": 9.567727288213005e-06,
"loss": 0.8728,
"step": 52
},
{
"epoch": 0.9298245614035088,
"grad_norm": 0.44537325137357436,
"learning_rate": 9.543755644867823e-06,
"loss": 0.8243,
"step": 53
},
{
"epoch": 0.9473684210526315,
"grad_norm": 0.49791673972055667,
"learning_rate": 9.519168849742603e-06,
"loss": 0.7796,
"step": 54
},
{
"epoch": 0.9649122807017544,
"grad_norm": 0.49148133350951356,
"learning_rate": 9.493970231495836e-06,
"loss": 0.8186,
"step": 55
},
{
"epoch": 0.9824561403508771,
"grad_norm": 0.4772135056244933,
"learning_rate": 9.468163201617063e-06,
"loss": 0.8303,
"step": 56
},
{
"epoch": 1.0,
"grad_norm": 0.5146092970588294,
"learning_rate": 9.441751253965022e-06,
"loss": 0.7413,
"step": 57
}
],
"logging_steps": 1,
"max_steps": 285,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 13124895178752.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}