ryusangwon's picture
End of training
2ba3ffe verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.3453038674033149,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.9884898710865566e-05,
"loss": 1.8034,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 4.976979742173112e-05,
"loss": 1.7814,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 4.965469613259669e-05,
"loss": 1.721,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 4.953959484346225e-05,
"loss": 1.6942,
"step": 40
},
{
"epoch": 0.03,
"learning_rate": 4.942449355432781e-05,
"loss": 1.7154,
"step": 50
},
{
"epoch": 0.04,
"learning_rate": 4.930939226519337e-05,
"loss": 1.6543,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 4.919429097605893e-05,
"loss": 1.6156,
"step": 70
},
{
"epoch": 0.06,
"learning_rate": 4.9079189686924495e-05,
"loss": 1.6444,
"step": 80
},
{
"epoch": 0.06,
"learning_rate": 4.896408839779006e-05,
"loss": 1.6015,
"step": 90
},
{
"epoch": 0.07,
"learning_rate": 4.884898710865562e-05,
"loss": 1.6391,
"step": 100
},
{
"epoch": 0.08,
"learning_rate": 4.873388581952118e-05,
"loss": 1.593,
"step": 110
},
{
"epoch": 0.08,
"learning_rate": 4.861878453038674e-05,
"loss": 1.6269,
"step": 120
},
{
"epoch": 0.09,
"learning_rate": 4.8503683241252305e-05,
"loss": 1.5846,
"step": 130
},
{
"epoch": 0.1,
"learning_rate": 4.838858195211787e-05,
"loss": 1.6303,
"step": 140
},
{
"epoch": 0.1,
"learning_rate": 4.8273480662983425e-05,
"loss": 1.5956,
"step": 150
},
{
"epoch": 0.11,
"learning_rate": 4.815837937384899e-05,
"loss": 1.6277,
"step": 160
},
{
"epoch": 0.12,
"learning_rate": 4.804327808471455e-05,
"loss": 1.6073,
"step": 170
},
{
"epoch": 0.12,
"learning_rate": 4.7928176795580114e-05,
"loss": 1.6067,
"step": 180
},
{
"epoch": 0.13,
"learning_rate": 4.781307550644568e-05,
"loss": 1.5774,
"step": 190
},
{
"epoch": 0.14,
"learning_rate": 4.7697974217311234e-05,
"loss": 1.5908,
"step": 200
},
{
"epoch": 0.15,
"learning_rate": 4.75828729281768e-05,
"loss": 1.627,
"step": 210
},
{
"epoch": 0.15,
"learning_rate": 4.746777163904236e-05,
"loss": 1.5788,
"step": 220
},
{
"epoch": 0.16,
"learning_rate": 4.7352670349907924e-05,
"loss": 1.618,
"step": 230
},
{
"epoch": 0.17,
"learning_rate": 4.723756906077349e-05,
"loss": 1.5598,
"step": 240
},
{
"epoch": 0.17,
"learning_rate": 4.7122467771639044e-05,
"loss": 1.6025,
"step": 250
},
{
"epoch": 0.18,
"learning_rate": 4.700736648250461e-05,
"loss": 1.5403,
"step": 260
},
{
"epoch": 0.19,
"learning_rate": 4.6892265193370164e-05,
"loss": 1.5925,
"step": 270
},
{
"epoch": 0.19,
"learning_rate": 4.6777163904235734e-05,
"loss": 1.575,
"step": 280
},
{
"epoch": 0.2,
"learning_rate": 4.666206261510129e-05,
"loss": 1.6021,
"step": 290
},
{
"epoch": 0.21,
"learning_rate": 4.6546961325966854e-05,
"loss": 1.6116,
"step": 300
},
{
"epoch": 0.21,
"learning_rate": 4.643186003683242e-05,
"loss": 1.6181,
"step": 310
},
{
"epoch": 0.22,
"learning_rate": 4.6316758747697973e-05,
"loss": 1.5878,
"step": 320
},
{
"epoch": 0.23,
"learning_rate": 4.6201657458563544e-05,
"loss": 1.5792,
"step": 330
},
{
"epoch": 0.23,
"learning_rate": 4.60865561694291e-05,
"loss": 1.6226,
"step": 340
},
{
"epoch": 0.24,
"learning_rate": 4.597145488029466e-05,
"loss": 1.5908,
"step": 350
},
{
"epoch": 0.25,
"learning_rate": 4.585635359116022e-05,
"loss": 1.5673,
"step": 360
},
{
"epoch": 0.26,
"learning_rate": 4.574125230202578e-05,
"loss": 1.6116,
"step": 370
},
{
"epoch": 0.26,
"learning_rate": 4.5626151012891346e-05,
"loss": 1.6161,
"step": 380
},
{
"epoch": 0.27,
"learning_rate": 4.551104972375691e-05,
"loss": 1.6058,
"step": 390
},
{
"epoch": 0.28,
"learning_rate": 4.539594843462247e-05,
"loss": 1.5731,
"step": 400
},
{
"epoch": 0.28,
"learning_rate": 4.528084714548803e-05,
"loss": 1.595,
"step": 410
},
{
"epoch": 0.29,
"learning_rate": 4.516574585635359e-05,
"loss": 1.6351,
"step": 420
},
{
"epoch": 0.3,
"learning_rate": 4.505064456721915e-05,
"loss": 1.6297,
"step": 430
},
{
"epoch": 0.3,
"learning_rate": 4.493554327808472e-05,
"loss": 1.5921,
"step": 440
},
{
"epoch": 0.31,
"learning_rate": 4.4820441988950276e-05,
"loss": 1.5711,
"step": 450
},
{
"epoch": 0.32,
"learning_rate": 4.470534069981584e-05,
"loss": 1.6085,
"step": 460
},
{
"epoch": 0.32,
"learning_rate": 4.45902394106814e-05,
"loss": 1.5754,
"step": 470
},
{
"epoch": 0.33,
"learning_rate": 4.447513812154696e-05,
"loss": 1.5883,
"step": 480
},
{
"epoch": 0.34,
"learning_rate": 4.436003683241253e-05,
"loss": 1.5826,
"step": 490
},
{
"epoch": 0.35,
"learning_rate": 4.4244935543278086e-05,
"loss": 1.5782,
"step": 500
}
],
"logging_steps": 10,
"max_steps": 4344,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 3.1601241096192e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}