fil_b128_le4_s4000 / checkpoint-3000 /trainer_state.json
mikhail-panzo's picture
Training in progress, step 3000, checkpoint
5a4a1f8 verified
raw
history blame
11.8 kB
{
"best_metric": 0.4048522114753723,
"best_model_checkpoint": "mikhail_panzo/fil_b128_le4_s4000/checkpoint-2000",
"epoch": 266.6666666666667,
"eval_steps": 500,
"global_step": 3000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 4.444444444444445,
"grad_norm": 2.152308940887451,
"learning_rate": 2.5e-06,
"loss": 0.7738,
"step": 50
},
{
"epoch": 8.88888888888889,
"grad_norm": 1.326554536819458,
"learning_rate": 5e-06,
"loss": 0.6968,
"step": 100
},
{
"epoch": 13.333333333333334,
"grad_norm": 1.4387542009353638,
"learning_rate": 7.5e-06,
"loss": 0.636,
"step": 150
},
{
"epoch": 17.77777777777778,
"grad_norm": 1.033190131187439,
"learning_rate": 1e-05,
"loss": 0.5486,
"step": 200
},
{
"epoch": 22.22222222222222,
"grad_norm": 1.4383914470672607,
"learning_rate": 1.25e-05,
"loss": 0.516,
"step": 250
},
{
"epoch": 26.666666666666668,
"grad_norm": 1.8267806768417358,
"learning_rate": 1.5e-05,
"loss": 0.4989,
"step": 300
},
{
"epoch": 31.11111111111111,
"grad_norm": 1.2525017261505127,
"learning_rate": 1.75e-05,
"loss": 0.4908,
"step": 350
},
{
"epoch": 35.55555555555556,
"grad_norm": 1.1662768125534058,
"learning_rate": 2e-05,
"loss": 0.4766,
"step": 400
},
{
"epoch": 40.0,
"grad_norm": 1.110721230506897,
"learning_rate": 2.25e-05,
"loss": 0.4716,
"step": 450
},
{
"epoch": 44.44444444444444,
"grad_norm": 1.6693321466445923,
"learning_rate": 2.5e-05,
"loss": 0.4635,
"step": 500
},
{
"epoch": 44.44444444444444,
"eval_loss": 0.42072969675064087,
"eval_runtime": 9.5188,
"eval_samples_per_second": 16.704,
"eval_steps_per_second": 2.101,
"step": 500
},
{
"epoch": 48.888888888888886,
"grad_norm": 1.0238850116729736,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.4585,
"step": 550
},
{
"epoch": 53.333333333333336,
"grad_norm": 0.8729687929153442,
"learning_rate": 3e-05,
"loss": 0.4572,
"step": 600
},
{
"epoch": 57.77777777777778,
"grad_norm": 1.4291303157806396,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.452,
"step": 650
},
{
"epoch": 62.22222222222222,
"grad_norm": 1.3374826908111572,
"learning_rate": 3.5e-05,
"loss": 0.447,
"step": 700
},
{
"epoch": 66.66666666666667,
"grad_norm": 1.7066700458526611,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.4424,
"step": 750
},
{
"epoch": 71.11111111111111,
"grad_norm": 2.1874194145202637,
"learning_rate": 4e-05,
"loss": 0.4443,
"step": 800
},
{
"epoch": 75.55555555555556,
"grad_norm": 1.4660208225250244,
"learning_rate": 4.25e-05,
"loss": 0.4346,
"step": 850
},
{
"epoch": 80.0,
"grad_norm": 1.2421706914901733,
"learning_rate": 4.5e-05,
"loss": 0.4328,
"step": 900
},
{
"epoch": 84.44444444444444,
"grad_norm": 0.8712289929389954,
"learning_rate": 4.75e-05,
"loss": 0.4335,
"step": 950
},
{
"epoch": 88.88888888888889,
"grad_norm": 1.161516547203064,
"learning_rate": 5e-05,
"loss": 0.4317,
"step": 1000
},
{
"epoch": 88.88888888888889,
"eval_loss": 0.40811634063720703,
"eval_runtime": 9.5158,
"eval_samples_per_second": 16.709,
"eval_steps_per_second": 2.102,
"step": 1000
},
{
"epoch": 93.33333333333333,
"grad_norm": 4.811057090759277,
"learning_rate": 5.25e-05,
"loss": 0.4311,
"step": 1050
},
{
"epoch": 97.77777777777777,
"grad_norm": 1.5318878889083862,
"learning_rate": 5.500000000000001e-05,
"loss": 0.4253,
"step": 1100
},
{
"epoch": 102.22222222222223,
"grad_norm": 1.7489895820617676,
"learning_rate": 5.7499999999999995e-05,
"loss": 0.4229,
"step": 1150
},
{
"epoch": 106.66666666666667,
"grad_norm": 1.162777304649353,
"learning_rate": 6e-05,
"loss": 0.4214,
"step": 1200
},
{
"epoch": 111.11111111111111,
"grad_norm": 1.2216763496398926,
"learning_rate": 6.25e-05,
"loss": 0.4168,
"step": 1250
},
{
"epoch": 115.55555555555556,
"grad_norm": 1.368053674697876,
"learning_rate": 6.500000000000001e-05,
"loss": 0.4197,
"step": 1300
},
{
"epoch": 120.0,
"grad_norm": 1.3240705728530884,
"learning_rate": 6.750000000000001e-05,
"loss": 0.4143,
"step": 1350
},
{
"epoch": 124.44444444444444,
"grad_norm": 3.4118428230285645,
"learning_rate": 7e-05,
"loss": 0.4159,
"step": 1400
},
{
"epoch": 128.88888888888889,
"grad_norm": 2.0438427925109863,
"learning_rate": 7.25e-05,
"loss": 0.4135,
"step": 1450
},
{
"epoch": 133.33333333333334,
"grad_norm": 3.8993186950683594,
"learning_rate": 7.500000000000001e-05,
"loss": 0.412,
"step": 1500
},
{
"epoch": 133.33333333333334,
"eval_loss": 0.40509456396102905,
"eval_runtime": 8.6764,
"eval_samples_per_second": 18.326,
"eval_steps_per_second": 2.305,
"step": 1500
},
{
"epoch": 137.77777777777777,
"grad_norm": 1.3933427333831787,
"learning_rate": 7.75e-05,
"loss": 0.4121,
"step": 1550
},
{
"epoch": 142.22222222222223,
"grad_norm": 2.8709917068481445,
"learning_rate": 8e-05,
"loss": 0.4095,
"step": 1600
},
{
"epoch": 146.66666666666666,
"grad_norm": 1.1129873991012573,
"learning_rate": 8.25e-05,
"loss": 0.4096,
"step": 1650
},
{
"epoch": 151.11111111111111,
"grad_norm": 1.5557284355163574,
"learning_rate": 8.5e-05,
"loss": 0.4058,
"step": 1700
},
{
"epoch": 155.55555555555554,
"grad_norm": 2.134979009628296,
"learning_rate": 8.75e-05,
"loss": 0.4045,
"step": 1750
},
{
"epoch": 160.0,
"grad_norm": 2.0640597343444824,
"learning_rate": 9e-05,
"loss": 0.4103,
"step": 1800
},
{
"epoch": 164.44444444444446,
"grad_norm": 1.2578678131103516,
"learning_rate": 9.250000000000001e-05,
"loss": 0.4048,
"step": 1850
},
{
"epoch": 168.88888888888889,
"grad_norm": 1.7405868768692017,
"learning_rate": 9.5e-05,
"loss": 0.4019,
"step": 1900
},
{
"epoch": 173.33333333333334,
"grad_norm": 1.7727621793746948,
"learning_rate": 9.75e-05,
"loss": 0.3982,
"step": 1950
},
{
"epoch": 177.77777777777777,
"grad_norm": 2.25417160987854,
"learning_rate": 0.0001,
"loss": 0.395,
"step": 2000
},
{
"epoch": 177.77777777777777,
"eval_loss": 0.4048522114753723,
"eval_runtime": 8.8879,
"eval_samples_per_second": 17.89,
"eval_steps_per_second": 2.25,
"step": 2000
},
{
"epoch": 182.22222222222223,
"grad_norm": 1.0432671308517456,
"learning_rate": 9.75e-05,
"loss": 0.3938,
"step": 2050
},
{
"epoch": 186.66666666666666,
"grad_norm": 2.726656675338745,
"learning_rate": 9.5e-05,
"loss": 0.3911,
"step": 2100
},
{
"epoch": 191.11111111111111,
"grad_norm": 1.70256769657135,
"learning_rate": 9.250000000000001e-05,
"loss": 0.3923,
"step": 2150
},
{
"epoch": 195.55555555555554,
"grad_norm": 1.177212119102478,
"learning_rate": 9e-05,
"loss": 0.3897,
"step": 2200
},
{
"epoch": 200.0,
"grad_norm": 1.0524529218673706,
"learning_rate": 8.75e-05,
"loss": 0.3892,
"step": 2250
},
{
"epoch": 204.44444444444446,
"grad_norm": 2.8829586505889893,
"learning_rate": 8.5e-05,
"loss": 0.3873,
"step": 2300
},
{
"epoch": 208.88888888888889,
"grad_norm": 1.4545131921768188,
"learning_rate": 8.25e-05,
"loss": 0.3866,
"step": 2350
},
{
"epoch": 213.33333333333334,
"grad_norm": 1.0848562717437744,
"learning_rate": 8e-05,
"loss": 0.3846,
"step": 2400
},
{
"epoch": 217.77777777777777,
"grad_norm": 4.756465435028076,
"learning_rate": 7.75e-05,
"loss": 0.3862,
"step": 2450
},
{
"epoch": 222.22222222222223,
"grad_norm": 2.198255777359009,
"learning_rate": 7.500000000000001e-05,
"loss": 0.3848,
"step": 2500
},
{
"epoch": 222.22222222222223,
"eval_loss": 0.4062703251838684,
"eval_runtime": 9.7951,
"eval_samples_per_second": 16.233,
"eval_steps_per_second": 2.042,
"step": 2500
},
{
"epoch": 226.66666666666666,
"grad_norm": 0.992829442024231,
"learning_rate": 7.25e-05,
"loss": 0.3829,
"step": 2550
},
{
"epoch": 231.11111111111111,
"grad_norm": 1.3153003454208374,
"learning_rate": 7e-05,
"loss": 0.3804,
"step": 2600
},
{
"epoch": 235.55555555555554,
"grad_norm": 1.8451892137527466,
"learning_rate": 6.750000000000001e-05,
"loss": 0.3791,
"step": 2650
},
{
"epoch": 240.0,
"grad_norm": 2.005200147628784,
"learning_rate": 6.500000000000001e-05,
"loss": 0.3776,
"step": 2700
},
{
"epoch": 244.44444444444446,
"grad_norm": 1.134822964668274,
"learning_rate": 6.25e-05,
"loss": 0.3754,
"step": 2750
},
{
"epoch": 248.88888888888889,
"grad_norm": 1.4820879697799683,
"learning_rate": 6e-05,
"loss": 0.3746,
"step": 2800
},
{
"epoch": 253.33333333333334,
"grad_norm": 0.989895761013031,
"learning_rate": 5.7499999999999995e-05,
"loss": 0.3735,
"step": 2850
},
{
"epoch": 257.77777777777777,
"grad_norm": 1.1705851554870605,
"learning_rate": 5.500000000000001e-05,
"loss": 0.3729,
"step": 2900
},
{
"epoch": 262.22222222222223,
"grad_norm": 0.8756380677223206,
"learning_rate": 5.25e-05,
"loss": 0.3719,
"step": 2950
},
{
"epoch": 266.6666666666667,
"grad_norm": 0.8016765713691711,
"learning_rate": 5e-05,
"loss": 0.3738,
"step": 3000
},
{
"epoch": 266.6666666666667,
"eval_loss": 0.40633583068847656,
"eval_runtime": 9.5581,
"eval_samples_per_second": 16.635,
"eval_steps_per_second": 2.092,
"step": 3000
}
],
"logging_steps": 50,
"max_steps": 4000,
"num_input_tokens_seen": 0,
"num_train_epochs": 364,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 8.245808791987536e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}