terry69's picture
Model save
072f4f0 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9987760097919217,
"eval_steps": 500,
"global_step": 204,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.004895960832313341,
"grad_norm": 31.803168810817947,
"learning_rate": 4.7619047619047623e-07,
"loss": 1.3104,
"step": 1
},
{
"epoch": 0.02447980416156671,
"grad_norm": 12.089208314037734,
"learning_rate": 2.380952380952381e-06,
"loss": 1.2864,
"step": 5
},
{
"epoch": 0.04895960832313342,
"grad_norm": 3.734128443782965,
"learning_rate": 4.761904761904762e-06,
"loss": 1.0964,
"step": 10
},
{
"epoch": 0.07343941248470012,
"grad_norm": 2.7685333081809613,
"learning_rate": 7.1428571428571436e-06,
"loss": 0.9865,
"step": 15
},
{
"epoch": 0.09791921664626684,
"grad_norm": 2.6618393187338545,
"learning_rate": 9.523809523809525e-06,
"loss": 0.9754,
"step": 20
},
{
"epoch": 0.12239902080783353,
"grad_norm": 2.8219368109360556,
"learning_rate": 9.988216158430033e-06,
"loss": 0.9828,
"step": 25
},
{
"epoch": 0.14687882496940025,
"grad_norm": 2.5325872032864996,
"learning_rate": 9.940439480455386e-06,
"loss": 0.9463,
"step": 30
},
{
"epoch": 0.17135862913096694,
"grad_norm": 2.8908619331299925,
"learning_rate": 9.856284997329158e-06,
"loss": 0.9522,
"step": 35
},
{
"epoch": 0.19583843329253367,
"grad_norm": 3.513186055584603,
"learning_rate": 9.736372361493584e-06,
"loss": 0.9812,
"step": 40
},
{
"epoch": 0.22031823745410037,
"grad_norm": 2.425130546395649,
"learning_rate": 9.581584522435025e-06,
"loss": 0.97,
"step": 45
},
{
"epoch": 0.24479804161566707,
"grad_norm": 2.7085014552252793,
"learning_rate": 9.393061225285743e-06,
"loss": 0.9428,
"step": 50
},
{
"epoch": 0.2692778457772338,
"grad_norm": 2.5282305939205645,
"learning_rate": 9.172190618569236e-06,
"loss": 0.9455,
"step": 55
},
{
"epoch": 0.2937576499388005,
"grad_norm": 2.6167693326627406,
"learning_rate": 8.920599032883553e-06,
"loss": 0.9291,
"step": 60
},
{
"epoch": 0.3182374541003672,
"grad_norm": 2.4397467891197953,
"learning_rate": 8.640139005784924e-06,
"loss": 0.897,
"step": 65
},
{
"epoch": 0.3427172582619339,
"grad_norm": 2.687082572276412,
"learning_rate": 8.332875641047817e-06,
"loss": 0.8971,
"step": 70
},
{
"epoch": 0.3671970624235006,
"grad_norm": 2.464301621801395,
"learning_rate": 8.001071402741843e-06,
"loss": 0.9071,
"step": 75
},
{
"epoch": 0.39167686658506734,
"grad_norm": 2.3157277119472557,
"learning_rate": 7.647169456090925e-06,
"loss": 0.8622,
"step": 80
},
{
"epoch": 0.41615667074663404,
"grad_norm": 2.340548302385909,
"learning_rate": 7.27377567778053e-06,
"loss": 0.8368,
"step": 85
},
{
"epoch": 0.44063647490820074,
"grad_norm": 2.434317748871704,
"learning_rate": 6.883639468175926e-06,
"loss": 0.871,
"step": 90
},
{
"epoch": 0.46511627906976744,
"grad_norm": 2.9663953802110443,
"learning_rate": 6.479633506736447e-06,
"loss": 0.8407,
"step": 95
},
{
"epoch": 0.48959608323133413,
"grad_norm": 2.5695792323184006,
"learning_rate": 6.064732599692079e-06,
"loss": 0.826,
"step": 100
},
{
"epoch": 0.5140758873929009,
"grad_norm": 2.999056757416413,
"learning_rate": 5.641991775732756e-06,
"loss": 0.8457,
"step": 105
},
{
"epoch": 0.5385556915544676,
"grad_norm": 2.9168664674153466,
"learning_rate": 5.214523790997773e-06,
"loss": 0.8173,
"step": 110
},
{
"epoch": 0.5630354957160343,
"grad_norm": 2.418710961036661,
"learning_rate": 4.7854762090022274e-06,
"loss": 0.8217,
"step": 115
},
{
"epoch": 0.587515299877601,
"grad_norm": 2.324625674148865,
"learning_rate": 4.358008224267245e-06,
"loss": 0.8186,
"step": 120
},
{
"epoch": 0.6119951040391677,
"grad_norm": 2.354640178196254,
"learning_rate": 3.9352674003079225e-06,
"loss": 0.7969,
"step": 125
},
{
"epoch": 0.6364749082007344,
"grad_norm": 2.4349410812593524,
"learning_rate": 3.520366493263554e-06,
"loss": 0.7996,
"step": 130
},
{
"epoch": 0.6609547123623011,
"grad_norm": 2.415118649892107,
"learning_rate": 3.116360531824074e-06,
"loss": 0.8086,
"step": 135
},
{
"epoch": 0.6854345165238678,
"grad_norm": 2.369315986332015,
"learning_rate": 2.7262243222194728e-06,
"loss": 0.7904,
"step": 140
},
{
"epoch": 0.7099143206854345,
"grad_norm": 2.8408105027248056,
"learning_rate": 2.3528305439090744e-06,
"loss": 0.7711,
"step": 145
},
{
"epoch": 0.7343941248470012,
"grad_norm": 2.277003258633081,
"learning_rate": 1.9989285972581595e-06,
"loss": 0.7928,
"step": 150
},
{
"epoch": 0.758873929008568,
"grad_norm": 2.398404156603122,
"learning_rate": 1.667124358952184e-06,
"loss": 0.7668,
"step": 155
},
{
"epoch": 0.7833537331701347,
"grad_norm": 2.3139627873668664,
"learning_rate": 1.3598609942150765e-06,
"loss": 0.7646,
"step": 160
},
{
"epoch": 0.8078335373317014,
"grad_norm": 2.322258534353416,
"learning_rate": 1.0794009671164484e-06,
"loss": 0.7782,
"step": 165
},
{
"epoch": 0.8323133414932681,
"grad_norm": 2.253023482934021,
"learning_rate": 8.278093814307637e-07,
"loss": 0.7425,
"step": 170
},
{
"epoch": 0.8567931456548348,
"grad_norm": 2.2625430444178223,
"learning_rate": 6.069387747142591e-07,
"loss": 0.7393,
"step": 175
},
{
"epoch": 0.8812729498164015,
"grad_norm": 2.474019483415415,
"learning_rate": 4.184154775649768e-07,
"loss": 0.7243,
"step": 180
},
{
"epoch": 0.9057527539779682,
"grad_norm": 2.318789387417803,
"learning_rate": 2.636276385064157e-07,
"loss": 0.7528,
"step": 185
},
{
"epoch": 0.9302325581395349,
"grad_norm": 2.2755119405821054,
"learning_rate": 1.4371500267084337e-07,
"loss": 0.755,
"step": 190
},
{
"epoch": 0.9547123623011016,
"grad_norm": 2.1830710176964283,
"learning_rate": 5.9560519544614725e-08,
"loss": 0.7424,
"step": 195
},
{
"epoch": 0.9791921664626683,
"grad_norm": 2.437291192873111,
"learning_rate": 1.1783841569968368e-08,
"loss": 0.7208,
"step": 200
},
{
"epoch": 0.9987760097919217,
"eval_loss": 0.9913554787635803,
"eval_runtime": 1210.5452,
"eval_samples_per_second": 3.159,
"eval_steps_per_second": 0.79,
"step": 204
},
{
"epoch": 0.9987760097919217,
"step": 204,
"total_flos": 42661104844800.0,
"train_loss": 0.8604376099857629,
"train_runtime": 5992.0788,
"train_samples_per_second": 1.091,
"train_steps_per_second": 0.034
}
],
"logging_steps": 5,
"max_steps": 204,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 42661104844800.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}