fil_b128_le3_s4000 / checkpoint-2500 /trainer_state.json
mikhail-panzo's picture
Training in progress, step 2500, checkpoint
a3f062c verified
{
"best_metric": 0.41453465819358826,
"best_model_checkpoint": "mikhail-panzo/fil_b128_le3_s4000/checkpoint-500",
"epoch": 222.22222222222223,
"eval_steps": 500,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 4.444444444444445,
"grad_norm": 1.5276468992233276,
"learning_rate": 2.5e-05,
"loss": 0.7204,
"step": 50
},
{
"epoch": 8.88888888888889,
"grad_norm": 1.4177956581115723,
"learning_rate": 5e-05,
"loss": 0.5494,
"step": 100
},
{
"epoch": 13.333333333333334,
"grad_norm": 3.0381362438201904,
"learning_rate": 7.5e-05,
"loss": 0.4948,
"step": 150
},
{
"epoch": 17.77777777777778,
"grad_norm": 1.7661292552947998,
"learning_rate": 0.0001,
"loss": 0.4734,
"step": 200
},
{
"epoch": 22.22222222222222,
"grad_norm": 1.4447826147079468,
"learning_rate": 0.000125,
"loss": 0.473,
"step": 250
},
{
"epoch": 26.666666666666668,
"grad_norm": 2.745311975479126,
"learning_rate": 0.00015,
"loss": 0.464,
"step": 300
},
{
"epoch": 31.11111111111111,
"grad_norm": 2.4395411014556885,
"learning_rate": 0.000175,
"loss": 0.4593,
"step": 350
},
{
"epoch": 35.55555555555556,
"grad_norm": 2.1870596408843994,
"learning_rate": 0.0002,
"loss": 0.4452,
"step": 400
},
{
"epoch": 40.0,
"grad_norm": 2.9709341526031494,
"learning_rate": 0.00022500000000000002,
"loss": 0.4404,
"step": 450
},
{
"epoch": 44.44444444444444,
"grad_norm": 3.981621265411377,
"learning_rate": 0.00025,
"loss": 0.4367,
"step": 500
},
{
"epoch": 44.44444444444444,
"eval_loss": 0.41453465819358826,
"eval_runtime": 9.8143,
"eval_samples_per_second": 16.201,
"eval_steps_per_second": 2.038,
"step": 500
},
{
"epoch": 48.888888888888886,
"grad_norm": 9.63549518585205,
"learning_rate": 0.000275,
"loss": 0.4377,
"step": 550
},
{
"epoch": 53.333333333333336,
"grad_norm": 3.0573575496673584,
"learning_rate": 0.0003,
"loss": 0.4377,
"step": 600
},
{
"epoch": 57.77777777777778,
"grad_norm": 2.144299268722534,
"learning_rate": 0.00032500000000000004,
"loss": 0.4342,
"step": 650
},
{
"epoch": 62.22222222222222,
"grad_norm": 3.523078203201294,
"learning_rate": 0.00035,
"loss": 0.4375,
"step": 700
},
{
"epoch": 66.66666666666667,
"grad_norm": 3.0409202575683594,
"learning_rate": 0.000375,
"loss": 0.4382,
"step": 750
},
{
"epoch": 71.11111111111111,
"grad_norm": 7.679955959320068,
"learning_rate": 0.0004,
"loss": 0.4435,
"step": 800
},
{
"epoch": 75.55555555555556,
"grad_norm": 4.8538618087768555,
"learning_rate": 0.000425,
"loss": 0.4313,
"step": 850
},
{
"epoch": 80.0,
"grad_norm": 3.889315128326416,
"learning_rate": 0.00045000000000000004,
"loss": 0.4242,
"step": 900
},
{
"epoch": 84.44444444444444,
"grad_norm": 9.169000625610352,
"learning_rate": 0.000475,
"loss": 0.4703,
"step": 950
},
{
"epoch": 88.88888888888889,
"grad_norm": 3.6193642616271973,
"learning_rate": 0.0005,
"loss": 0.4709,
"step": 1000
},
{
"epoch": 88.88888888888889,
"eval_loss": 0.4963502883911133,
"eval_runtime": 9.099,
"eval_samples_per_second": 17.474,
"eval_steps_per_second": 2.198,
"step": 1000
},
{
"epoch": 93.33333333333333,
"grad_norm": 1.7234474420547485,
"learning_rate": 0.0005250000000000001,
"loss": 0.4563,
"step": 1050
},
{
"epoch": 97.77777777777777,
"grad_norm": 2.933211326599121,
"learning_rate": 0.00055,
"loss": 0.4449,
"step": 1100
},
{
"epoch": 102.22222222222223,
"grad_norm": 2.3853394985198975,
"learning_rate": 0.000575,
"loss": 0.4712,
"step": 1150
},
{
"epoch": 106.66666666666667,
"grad_norm": 0.20497646927833557,
"learning_rate": 0.000599,
"loss": 1.534,
"step": 1200
},
{
"epoch": 111.11111111111111,
"grad_norm": 0.0945451632142067,
"learning_rate": 0.000624,
"loss": 1.5935,
"step": 1250
},
{
"epoch": 115.55555555555556,
"grad_norm": 0.13917936384677887,
"learning_rate": 0.0006490000000000001,
"loss": 1.5906,
"step": 1300
},
{
"epoch": 120.0,
"grad_norm": 0.21496649086475372,
"learning_rate": 0.000674,
"loss": 1.5817,
"step": 1350
},
{
"epoch": 124.44444444444444,
"grad_norm": 0.7981905341148376,
"learning_rate": 0.000699,
"loss": 1.5851,
"step": 1400
},
{
"epoch": 128.88888888888889,
"grad_norm": 0.3589198589324951,
"learning_rate": 0.000724,
"loss": 1.5778,
"step": 1450
},
{
"epoch": 133.33333333333334,
"grad_norm": 0.15568029880523682,
"learning_rate": 0.000749,
"loss": 1.5891,
"step": 1500
},
{
"epoch": 133.33333333333334,
"eval_loss": 1.5470129251480103,
"eval_runtime": 10.6543,
"eval_samples_per_second": 14.924,
"eval_steps_per_second": 1.877,
"step": 1500
},
{
"epoch": 137.77777777777777,
"grad_norm": 0.12888091802597046,
"learning_rate": 0.0007740000000000001,
"loss": 1.5836,
"step": 1550
},
{
"epoch": 142.22222222222223,
"grad_norm": 0.17486007511615753,
"learning_rate": 0.000799,
"loss": 1.5765,
"step": 1600
},
{
"epoch": 146.66666666666666,
"grad_norm": 0.07815095037221909,
"learning_rate": 0.000824,
"loss": 1.5771,
"step": 1650
},
{
"epoch": 151.11111111111111,
"grad_norm": 0.8746868371963501,
"learning_rate": 0.000849,
"loss": 1.5796,
"step": 1700
},
{
"epoch": 155.55555555555554,
"grad_norm": 0.30329012870788574,
"learning_rate": 0.000874,
"loss": 1.5779,
"step": 1750
},
{
"epoch": 160.0,
"grad_norm": 0.3016453981399536,
"learning_rate": 0.0008990000000000001,
"loss": 1.5766,
"step": 1800
},
{
"epoch": 164.44444444444446,
"grad_norm": 0.12022041529417038,
"learning_rate": 0.000924,
"loss": 1.5775,
"step": 1850
},
{
"epoch": 168.88888888888889,
"grad_norm": 0.20793229341506958,
"learning_rate": 0.000949,
"loss": 1.5768,
"step": 1900
},
{
"epoch": 173.33333333333334,
"grad_norm": 0.03221210092306137,
"learning_rate": 0.000974,
"loss": 1.5779,
"step": 1950
},
{
"epoch": 177.77777777777777,
"grad_norm": 0.22706760466098785,
"learning_rate": 0.000999,
"loss": 1.5787,
"step": 2000
},
{
"epoch": 177.77777777777777,
"eval_loss": 1.5496832132339478,
"eval_runtime": 8.1644,
"eval_samples_per_second": 19.475,
"eval_steps_per_second": 2.45,
"step": 2000
},
{
"epoch": 182.22222222222223,
"grad_norm": 0.13995479047298431,
"learning_rate": 0.000976,
"loss": 1.5783,
"step": 2050
},
{
"epoch": 186.66666666666666,
"grad_norm": 0.19275836646556854,
"learning_rate": 0.000951,
"loss": 1.5748,
"step": 2100
},
{
"epoch": 191.11111111111111,
"grad_norm": 0.20744530856609344,
"learning_rate": 0.0009260000000000001,
"loss": 1.578,
"step": 2150
},
{
"epoch": 195.55555555555554,
"grad_norm": 0.08092151582241058,
"learning_rate": 0.000901,
"loss": 1.5765,
"step": 2200
},
{
"epoch": 200.0,
"grad_norm": 0.1601410210132599,
"learning_rate": 0.000876,
"loss": 1.5751,
"step": 2250
},
{
"epoch": 204.44444444444446,
"grad_norm": 0.20833778381347656,
"learning_rate": 0.000851,
"loss": 1.5723,
"step": 2300
},
{
"epoch": 208.88888888888889,
"grad_norm": 0.3090430498123169,
"learning_rate": 0.000826,
"loss": 1.5741,
"step": 2350
},
{
"epoch": 213.33333333333334,
"grad_norm": 0.049218811094760895,
"learning_rate": 0.0008010000000000001,
"loss": 1.5743,
"step": 2400
},
{
"epoch": 217.77777777777777,
"grad_norm": 0.10529515147209167,
"learning_rate": 0.000776,
"loss": 1.5721,
"step": 2450
},
{
"epoch": 222.22222222222223,
"grad_norm": 0.21685709059238434,
"learning_rate": 0.000751,
"loss": 1.5714,
"step": 2500
},
{
"epoch": 222.22222222222223,
"eval_loss": 1.5523545742034912,
"eval_runtime": 10.3314,
"eval_samples_per_second": 15.39,
"eval_steps_per_second": 1.936,
"step": 2500
}
],
"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": 6.882220043045424e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}