vijay-ravichander's picture
Training in progress, step 800, checkpoint
e1d5a7b verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.975609756097561,
"eval_steps": 500,
"global_step": 800,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.024390243902439025,
"grad_norm": 0.16707786917686462,
"learning_rate": 0.00019631901840490797,
"loss": 2.635,
"step": 20
},
{
"epoch": 0.04878048780487805,
"grad_norm": 0.13998350501060486,
"learning_rate": 0.0001914110429447853,
"loss": 2.3435,
"step": 40
},
{
"epoch": 0.07317073170731707,
"grad_norm": 0.1309942603111267,
"learning_rate": 0.00018650306748466258,
"loss": 2.3362,
"step": 60
},
{
"epoch": 0.0975609756097561,
"grad_norm": 0.15228970348834991,
"learning_rate": 0.00018159509202453987,
"loss": 2.278,
"step": 80
},
{
"epoch": 0.12195121951219512,
"grad_norm": 0.13835516571998596,
"learning_rate": 0.0001766871165644172,
"loss": 2.2551,
"step": 100
},
{
"epoch": 0.14634146341463414,
"grad_norm": 0.21494311094284058,
"learning_rate": 0.0001717791411042945,
"loss": 2.2077,
"step": 120
},
{
"epoch": 0.17073170731707318,
"grad_norm": 0.21518772840499878,
"learning_rate": 0.00016687116564417177,
"loss": 2.3031,
"step": 140
},
{
"epoch": 0.1951219512195122,
"grad_norm": 0.14484964311122894,
"learning_rate": 0.00016196319018404909,
"loss": 2.1937,
"step": 160
},
{
"epoch": 0.21951219512195122,
"grad_norm": 0.242563858628273,
"learning_rate": 0.0001570552147239264,
"loss": 2.1975,
"step": 180
},
{
"epoch": 0.24390243902439024,
"grad_norm": 0.1661764532327652,
"learning_rate": 0.0001521472392638037,
"loss": 2.2523,
"step": 200
},
{
"epoch": 0.2682926829268293,
"grad_norm": 0.15373563766479492,
"learning_rate": 0.00014723926380368098,
"loss": 2.214,
"step": 220
},
{
"epoch": 0.2926829268292683,
"grad_norm": 0.13464413583278656,
"learning_rate": 0.00014233128834355828,
"loss": 2.2028,
"step": 240
},
{
"epoch": 0.3170731707317073,
"grad_norm": 0.16624805331230164,
"learning_rate": 0.0001374233128834356,
"loss": 2.1833,
"step": 260
},
{
"epoch": 0.34146341463414637,
"grad_norm": 0.1389687955379486,
"learning_rate": 0.00013251533742331288,
"loss": 2.1687,
"step": 280
},
{
"epoch": 0.36585365853658536,
"grad_norm": 0.15641051530838013,
"learning_rate": 0.00012760736196319017,
"loss": 2.187,
"step": 300
},
{
"epoch": 0.3902439024390244,
"grad_norm": 0.1625806838274002,
"learning_rate": 0.0001226993865030675,
"loss": 2.1797,
"step": 320
},
{
"epoch": 0.4146341463414634,
"grad_norm": 0.14962390065193176,
"learning_rate": 0.0001177914110429448,
"loss": 2.2401,
"step": 340
},
{
"epoch": 0.43902439024390244,
"grad_norm": 0.15027175843715668,
"learning_rate": 0.00011288343558282209,
"loss": 2.1078,
"step": 360
},
{
"epoch": 0.4634146341463415,
"grad_norm": 0.1398533135652542,
"learning_rate": 0.00010797546012269939,
"loss": 2.2348,
"step": 380
},
{
"epoch": 0.4878048780487805,
"grad_norm": 0.18960897624492645,
"learning_rate": 0.0001030674846625767,
"loss": 2.2566,
"step": 400
},
{
"epoch": 0.5121951219512195,
"grad_norm": 0.17258687317371368,
"learning_rate": 9.815950920245399e-05,
"loss": 2.214,
"step": 420
},
{
"epoch": 0.5365853658536586,
"grad_norm": 0.16552983224391937,
"learning_rate": 9.325153374233129e-05,
"loss": 2.1728,
"step": 440
},
{
"epoch": 0.5609756097560976,
"grad_norm": 0.15598084032535553,
"learning_rate": 8.83435582822086e-05,
"loss": 2.2111,
"step": 460
},
{
"epoch": 0.5853658536585366,
"grad_norm": 0.18658678233623505,
"learning_rate": 8.343558282208588e-05,
"loss": 2.1649,
"step": 480
},
{
"epoch": 0.6097560975609756,
"grad_norm": 0.13376082479953766,
"learning_rate": 7.85276073619632e-05,
"loss": 2.2003,
"step": 500
},
{
"epoch": 0.6341463414634146,
"grad_norm": 0.17194202542304993,
"learning_rate": 7.361963190184049e-05,
"loss": 2.1423,
"step": 520
},
{
"epoch": 0.6585365853658537,
"grad_norm": 0.18158170580863953,
"learning_rate": 6.87116564417178e-05,
"loss": 2.1567,
"step": 540
},
{
"epoch": 0.6829268292682927,
"grad_norm": 0.16745077073574066,
"learning_rate": 6.380368098159509e-05,
"loss": 2.1775,
"step": 560
},
{
"epoch": 0.7073170731707317,
"grad_norm": 0.17525842785835266,
"learning_rate": 5.88957055214724e-05,
"loss": 2.1736,
"step": 580
},
{
"epoch": 0.7317073170731707,
"grad_norm": 0.17679478228092194,
"learning_rate": 5.3987730061349695e-05,
"loss": 2.1711,
"step": 600
},
{
"epoch": 0.7560975609756098,
"grad_norm": 0.13690592348575592,
"learning_rate": 4.907975460122699e-05,
"loss": 2.2247,
"step": 620
},
{
"epoch": 0.7804878048780488,
"grad_norm": 0.21975897252559662,
"learning_rate": 4.41717791411043e-05,
"loss": 2.1804,
"step": 640
},
{
"epoch": 0.8048780487804879,
"grad_norm": 0.1626081019639969,
"learning_rate": 3.92638036809816e-05,
"loss": 2.1812,
"step": 660
},
{
"epoch": 0.8292682926829268,
"grad_norm": 0.15699782967567444,
"learning_rate": 3.43558282208589e-05,
"loss": 2.1145,
"step": 680
},
{
"epoch": 0.8536585365853658,
"grad_norm": 0.15588204562664032,
"learning_rate": 2.94478527607362e-05,
"loss": 2.2064,
"step": 700
},
{
"epoch": 0.8780487804878049,
"grad_norm": 0.2222682237625122,
"learning_rate": 2.4539877300613496e-05,
"loss": 2.1562,
"step": 720
},
{
"epoch": 0.9024390243902439,
"grad_norm": 0.16220204532146454,
"learning_rate": 1.96319018404908e-05,
"loss": 2.2139,
"step": 740
},
{
"epoch": 0.926829268292683,
"grad_norm": 0.20664212107658386,
"learning_rate": 1.47239263803681e-05,
"loss": 2.1842,
"step": 760
},
{
"epoch": 0.9512195121951219,
"grad_norm": 0.15472255647182465,
"learning_rate": 9.8159509202454e-06,
"loss": 2.1798,
"step": 780
},
{
"epoch": 0.975609756097561,
"grad_norm": 0.17610955238342285,
"learning_rate": 4.9079754601227e-06,
"loss": 2.1404,
"step": 800
}
],
"logging_steps": 20,
"max_steps": 820,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 200,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.965872212082688e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}