QingyiSi's picture
Upload 1268 files
4697198
raw
history blame
4.59 kB
{
"best_metric": NaN,
"best_model_checkpoint": "/mnt/bn/qingyi-bn-lq/llama/saved_bloomz-7b1-mt_TQA/checkpoint-200",
"epoch": 2.0972146368104863,
"global_step": 600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"learning_rate": 5.9999999999999995e-05,
"loss": 56.1213,
"step": 20
},
{
"epoch": 0.14,
"learning_rate": 0.00011999999999999999,
"loss": 46.3785,
"step": 40
},
{
"epoch": 0.21,
"learning_rate": 0.00017999999999999998,
"loss": 27.2008,
"step": 60
},
{
"epoch": 0.28,
"learning_rate": 0.00023999999999999998,
"loss": 58.3372,
"step": 80
},
{
"epoch": 0.35,
"learning_rate": 0.0003,
"loss": 21.5097,
"step": 100
},
{
"epoch": 0.42,
"learning_rate": 0.00029208443271767806,
"loss": 149.5568,
"step": 120
},
{
"epoch": 0.49,
"learning_rate": 0.0002841688654353562,
"loss": 12.1125,
"step": 140
},
{
"epoch": 0.56,
"learning_rate": 0.0002762532981530343,
"loss": 64.6813,
"step": 160
},
{
"epoch": 0.63,
"learning_rate": 0.00026833773087071237,
"loss": 12.8244,
"step": 180
},
{
"epoch": 0.7,
"learning_rate": 0.0002604221635883905,
"loss": 13.6392,
"step": 200
},
{
"epoch": 0.7,
"eval_loss": NaN,
"eval_runtime": 39.2226,
"eval_samples_per_second": 50.991,
"eval_steps_per_second": 1.606,
"step": 200
},
{
"epoch": 0.77,
"learning_rate": 0.0002525065963060686,
"loss": 29.1801,
"step": 220
},
{
"epoch": 0.84,
"learning_rate": 0.0002445910290237467,
"loss": 7.1808,
"step": 240
},
{
"epoch": 0.91,
"learning_rate": 0.0002366754617414248,
"loss": 17.5066,
"step": 260
},
{
"epoch": 0.98,
"learning_rate": 0.00022875989445910288,
"loss": 13.7954,
"step": 280
},
{
"epoch": 1.05,
"learning_rate": 0.000220844327176781,
"loss": 15.2006,
"step": 300
},
{
"epoch": 1.12,
"learning_rate": 0.00021292875989445908,
"loss": 18.5282,
"step": 320
},
{
"epoch": 1.19,
"learning_rate": 0.0002050131926121372,
"loss": 10.157,
"step": 340
},
{
"epoch": 1.26,
"learning_rate": 0.0001970976253298153,
"loss": 9.2541,
"step": 360
},
{
"epoch": 1.33,
"learning_rate": 0.00018918205804749339,
"loss": 9.0145,
"step": 380
},
{
"epoch": 1.4,
"learning_rate": 0.00018126649076517147,
"loss": 8.6491,
"step": 400
},
{
"epoch": 1.4,
"eval_loss": NaN,
"eval_runtime": 39.8237,
"eval_samples_per_second": 50.221,
"eval_steps_per_second": 1.582,
"step": 400
},
{
"epoch": 1.47,
"learning_rate": 0.0001733509234828496,
"loss": 6.757,
"step": 420
},
{
"epoch": 1.54,
"learning_rate": 0.0001654353562005277,
"loss": 4.1081,
"step": 440
},
{
"epoch": 1.61,
"learning_rate": 0.00015751978891820578,
"loss": 19.5577,
"step": 460
},
{
"epoch": 1.68,
"learning_rate": 0.0001496042216358839,
"loss": 14.4416,
"step": 480
},
{
"epoch": 1.75,
"learning_rate": 0.00014168865435356198,
"loss": 8.4368,
"step": 500
},
{
"epoch": 1.82,
"learning_rate": 0.0001337730870712401,
"loss": 5.4915,
"step": 520
},
{
"epoch": 1.89,
"learning_rate": 0.00012585751978891818,
"loss": 28.9042,
"step": 540
},
{
"epoch": 1.96,
"learning_rate": 0.00011794195250659629,
"loss": 25.3276,
"step": 560
},
{
"epoch": 2.03,
"learning_rate": 0.0001100263852242744,
"loss": 8.954,
"step": 580
},
{
"epoch": 2.1,
"learning_rate": 0.0001021108179419525,
"loss": 8.7963,
"step": 600
},
{
"epoch": 2.1,
"eval_loss": NaN,
"eval_runtime": 39.412,
"eval_samples_per_second": 50.746,
"eval_steps_per_second": 1.598,
"step": 600
}
],
"max_steps": 858,
"num_train_epochs": 3,
"total_flos": 5.660860955911782e+18,
"trial_name": null,
"trial_params": null
}