AsemBadr's picture
Training in progress, step 1000, checkpoint
6729b84 verified
raw
history blame
7.8 kB
{
"best_metric": 5.243532975996271,
"best_model_checkpoint": "./final-whisper-for-initial-publish/checkpoint-1000",
"epoch": 1.6474464579901154,
"eval_steps": 500,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04118616144975288,
"grad_norm": 67.08393096923828,
"learning_rate": 4.2000000000000006e-07,
"loss": 2.8367,
"step": 25
},
{
"epoch": 0.08237232289950576,
"grad_norm": 17.447174072265625,
"learning_rate": 9.200000000000001e-07,
"loss": 2.0282,
"step": 50
},
{
"epoch": 0.12355848434925865,
"grad_norm": 12.4807710647583,
"learning_rate": 1.42e-06,
"loss": 1.3152,
"step": 75
},
{
"epoch": 0.16474464579901152,
"grad_norm": 8.900789260864258,
"learning_rate": 1.9200000000000003e-06,
"loss": 0.7248,
"step": 100
},
{
"epoch": 0.20593080724876442,
"grad_norm": 7.897016525268555,
"learning_rate": 2.42e-06,
"loss": 0.5731,
"step": 125
},
{
"epoch": 0.2471169686985173,
"grad_norm": 9.260579109191895,
"learning_rate": 2.92e-06,
"loss": 0.474,
"step": 150
},
{
"epoch": 0.2883031301482702,
"grad_norm": 6.941812515258789,
"learning_rate": 3.4200000000000007e-06,
"loss": 0.4304,
"step": 175
},
{
"epoch": 0.32948929159802304,
"grad_norm": 6.919547080993652,
"learning_rate": 3.920000000000001e-06,
"loss": 0.3514,
"step": 200
},
{
"epoch": 0.37067545304777594,
"grad_norm": 6.444908618927002,
"learning_rate": 4.42e-06,
"loss": 0.273,
"step": 225
},
{
"epoch": 0.41186161449752884,
"grad_norm": 5.828249454498291,
"learning_rate": 4.92e-06,
"loss": 0.1655,
"step": 250
},
{
"epoch": 0.45304777594728174,
"grad_norm": 2.492833137512207,
"learning_rate": 5.420000000000001e-06,
"loss": 0.0894,
"step": 275
},
{
"epoch": 0.4942339373970346,
"grad_norm": 3.24698805809021,
"learning_rate": 5.92e-06,
"loss": 0.076,
"step": 300
},
{
"epoch": 0.5354200988467874,
"grad_norm": 4.378988265991211,
"learning_rate": 6.42e-06,
"loss": 0.0763,
"step": 325
},
{
"epoch": 0.5766062602965404,
"grad_norm": 3.146955728530884,
"learning_rate": 6.92e-06,
"loss": 0.0679,
"step": 350
},
{
"epoch": 0.6177924217462932,
"grad_norm": 3.8782553672790527,
"learning_rate": 7.420000000000001e-06,
"loss": 0.0524,
"step": 375
},
{
"epoch": 0.6589785831960461,
"grad_norm": 6.15730094909668,
"learning_rate": 7.92e-06,
"loss": 0.0554,
"step": 400
},
{
"epoch": 0.700164744645799,
"grad_norm": 6.1213812828063965,
"learning_rate": 8.42e-06,
"loss": 0.0535,
"step": 425
},
{
"epoch": 0.7413509060955519,
"grad_norm": 4.010768890380859,
"learning_rate": 8.920000000000001e-06,
"loss": 0.0465,
"step": 450
},
{
"epoch": 0.7825370675453048,
"grad_norm": 3.509321451187134,
"learning_rate": 9.42e-06,
"loss": 0.0436,
"step": 475
},
{
"epoch": 0.8237232289950577,
"grad_norm": 2.744082450866699,
"learning_rate": 9.920000000000002e-06,
"loss": 0.0468,
"step": 500
},
{
"epoch": 0.8237232289950577,
"eval_loss": 0.04186907038092613,
"eval_runtime": 1739.4189,
"eval_samples_per_second": 1.395,
"eval_steps_per_second": 0.175,
"eval_wer": 10.859939408063388,
"step": 500
},
{
"epoch": 0.8649093904448105,
"grad_norm": 2.581739664077759,
"learning_rate": 9.953333333333333e-06,
"loss": 0.0387,
"step": 525
},
{
"epoch": 0.9060955518945635,
"grad_norm": 1.7439745664596558,
"learning_rate": 9.89777777777778e-06,
"loss": 0.0372,
"step": 550
},
{
"epoch": 0.9472817133443163,
"grad_norm": 3.0741066932678223,
"learning_rate": 9.842222222222223e-06,
"loss": 0.0344,
"step": 575
},
{
"epoch": 0.9884678747940692,
"grad_norm": 2.640840530395508,
"learning_rate": 9.786666666666667e-06,
"loss": 0.0331,
"step": 600
},
{
"epoch": 1.029654036243822,
"grad_norm": 0.908171534538269,
"learning_rate": 9.731111111111113e-06,
"loss": 0.0267,
"step": 625
},
{
"epoch": 1.0708401976935749,
"grad_norm": 1.0449379682540894,
"learning_rate": 9.675555555555555e-06,
"loss": 0.0203,
"step": 650
},
{
"epoch": 1.112026359143328,
"grad_norm": 2.090158700942993,
"learning_rate": 9.620000000000001e-06,
"loss": 0.0185,
"step": 675
},
{
"epoch": 1.1532125205930808,
"grad_norm": 3.4184322357177734,
"learning_rate": 9.564444444444445e-06,
"loss": 0.0226,
"step": 700
},
{
"epoch": 1.1943986820428336,
"grad_norm": 2.6463236808776855,
"learning_rate": 9.508888888888889e-06,
"loss": 0.0155,
"step": 725
},
{
"epoch": 1.2355848434925865,
"grad_norm": 0.7438070774078369,
"learning_rate": 9.453333333333335e-06,
"loss": 0.0184,
"step": 750
},
{
"epoch": 1.2767710049423393,
"grad_norm": 1.7319138050079346,
"learning_rate": 9.397777777777779e-06,
"loss": 0.0161,
"step": 775
},
{
"epoch": 1.3179571663920924,
"grad_norm": 1.9704327583312988,
"learning_rate": 9.342222222222223e-06,
"loss": 0.0137,
"step": 800
},
{
"epoch": 1.3591433278418452,
"grad_norm": 1.808190107345581,
"learning_rate": 9.286666666666667e-06,
"loss": 0.0169,
"step": 825
},
{
"epoch": 1.400329489291598,
"grad_norm": 2.1106882095336914,
"learning_rate": 9.231111111111111e-06,
"loss": 0.0141,
"step": 850
},
{
"epoch": 1.441515650741351,
"grad_norm": 1.5317939519882202,
"learning_rate": 9.175555555555557e-06,
"loss": 0.0114,
"step": 875
},
{
"epoch": 1.4827018121911038,
"grad_norm": 2.758979082107544,
"learning_rate": 9.12e-06,
"loss": 0.0123,
"step": 900
},
{
"epoch": 1.5238879736408566,
"grad_norm": 2.9624338150024414,
"learning_rate": 9.064444444444447e-06,
"loss": 0.014,
"step": 925
},
{
"epoch": 1.5650741350906094,
"grad_norm": 2.520521402359009,
"learning_rate": 9.008888888888889e-06,
"loss": 0.0107,
"step": 950
},
{
"epoch": 1.6062602965403623,
"grad_norm": 1.0015959739685059,
"learning_rate": 8.953333333333335e-06,
"loss": 0.0111,
"step": 975
},
{
"epoch": 1.6474464579901154,
"grad_norm": 2.2675178050994873,
"learning_rate": 8.897777777777779e-06,
"loss": 0.0124,
"step": 1000
},
{
"epoch": 1.6474464579901154,
"eval_loss": 0.02125450409948826,
"eval_runtime": 1730.2385,
"eval_samples_per_second": 1.403,
"eval_steps_per_second": 0.176,
"eval_wer": 5.243532975996271,
"step": 1000
}
],
"logging_steps": 25,
"max_steps": 5000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 4.61621206351872e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}