mikhail-panzo's picture
Training in progress, step 3500, checkpoint
5267a38 verified
raw
history blame
14.2 kB
{
"best_metric": 0.4111216962337494,
"best_model_checkpoint": "mikhail_panzo/zlm-fil_b64_le5_s8000/checkpoint-3500",
"epoch": 152.17391304347825,
"eval_steps": 500,
"global_step": 3500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.1739130434782608,
"grad_norm": 5.992666721343994,
"learning_rate": 2.5000000000000004e-07,
"loss": 0.9248,
"step": 50
},
{
"epoch": 4.3478260869565215,
"grad_norm": 3.4944448471069336,
"learning_rate": 4.95e-07,
"loss": 0.8709,
"step": 100
},
{
"epoch": 6.521739130434782,
"grad_norm": 1.9902064800262451,
"learning_rate": 7.450000000000001e-07,
"loss": 0.8005,
"step": 150
},
{
"epoch": 8.695652173913043,
"grad_norm": 1.4649031162261963,
"learning_rate": 9.950000000000002e-07,
"loss": 0.733,
"step": 200
},
{
"epoch": 10.869565217391305,
"grad_norm": 1.4645055532455444,
"learning_rate": 1.2450000000000002e-06,
"loss": 0.6758,
"step": 250
},
{
"epoch": 13.043478260869565,
"grad_norm": 1.5862590074539185,
"learning_rate": 1.495e-06,
"loss": 0.6246,
"step": 300
},
{
"epoch": 15.217391304347826,
"grad_norm": 1.198890209197998,
"learning_rate": 1.745e-06,
"loss": 0.5917,
"step": 350
},
{
"epoch": 17.391304347826086,
"grad_norm": 1.324212908744812,
"learning_rate": 1.9950000000000004e-06,
"loss": 0.5721,
"step": 400
},
{
"epoch": 19.565217391304348,
"grad_norm": 1.1638662815093994,
"learning_rate": 2.245e-06,
"loss": 0.5635,
"step": 450
},
{
"epoch": 21.73913043478261,
"grad_norm": 0.9293428063392639,
"learning_rate": 2.4950000000000003e-06,
"loss": 0.5541,
"step": 500
},
{
"epoch": 21.73913043478261,
"eval_loss": 0.49769046902656555,
"eval_runtime": 12.8521,
"eval_samples_per_second": 12.527,
"eval_steps_per_second": 1.634,
"step": 500
},
{
"epoch": 23.91304347826087,
"grad_norm": 0.7982977628707886,
"learning_rate": 2.7450000000000004e-06,
"loss": 0.5487,
"step": 550
},
{
"epoch": 26.08695652173913,
"grad_norm": 0.8491495251655579,
"learning_rate": 2.995e-06,
"loss": 0.5373,
"step": 600
},
{
"epoch": 28.26086956521739,
"grad_norm": 0.7158030867576599,
"learning_rate": 3.2450000000000003e-06,
"loss": 0.5271,
"step": 650
},
{
"epoch": 30.434782608695652,
"grad_norm": 1.2020411491394043,
"learning_rate": 3.495e-06,
"loss": 0.5201,
"step": 700
},
{
"epoch": 32.608695652173914,
"grad_norm": 0.7339745163917542,
"learning_rate": 3.745e-06,
"loss": 0.5126,
"step": 750
},
{
"epoch": 34.78260869565217,
"grad_norm": 1.1129218339920044,
"learning_rate": 3.995000000000001e-06,
"loss": 0.5136,
"step": 800
},
{
"epoch": 36.95652173913044,
"grad_norm": 0.7733961939811707,
"learning_rate": 4.245e-06,
"loss": 0.5099,
"step": 850
},
{
"epoch": 39.130434782608695,
"grad_norm": 1.1559356451034546,
"learning_rate": 4.495e-06,
"loss": 0.5047,
"step": 900
},
{
"epoch": 41.30434782608695,
"grad_norm": 0.873518705368042,
"learning_rate": 4.745e-06,
"loss": 0.4955,
"step": 950
},
{
"epoch": 43.47826086956522,
"grad_norm": 0.703760027885437,
"learning_rate": 4.9950000000000005e-06,
"loss": 0.4931,
"step": 1000
},
{
"epoch": 43.47826086956522,
"eval_loss": 0.4528730511665344,
"eval_runtime": 12.5404,
"eval_samples_per_second": 12.838,
"eval_steps_per_second": 1.675,
"step": 1000
},
{
"epoch": 45.65217391304348,
"grad_norm": 0.9317522644996643,
"learning_rate": 5.245e-06,
"loss": 0.4922,
"step": 1050
},
{
"epoch": 47.82608695652174,
"grad_norm": 0.9118973016738892,
"learning_rate": 5.495000000000001e-06,
"loss": 0.4855,
"step": 1100
},
{
"epoch": 50.0,
"grad_norm": 2.0197670459747314,
"learning_rate": 5.745000000000001e-06,
"loss": 0.485,
"step": 1150
},
{
"epoch": 52.17391304347826,
"grad_norm": 1.1067094802856445,
"learning_rate": 5.995000000000001e-06,
"loss": 0.4872,
"step": 1200
},
{
"epoch": 54.34782608695652,
"grad_norm": 1.20389723777771,
"learning_rate": 6.245000000000001e-06,
"loss": 0.4836,
"step": 1250
},
{
"epoch": 56.52173913043478,
"grad_norm": 0.9784926176071167,
"learning_rate": 6.4950000000000005e-06,
"loss": 0.4793,
"step": 1300
},
{
"epoch": 58.69565217391305,
"grad_norm": 1.4276039600372314,
"learning_rate": 6.745000000000001e-06,
"loss": 0.4774,
"step": 1350
},
{
"epoch": 60.869565217391305,
"grad_norm": 1.117233157157898,
"learning_rate": 6.995000000000001e-06,
"loss": 0.4776,
"step": 1400
},
{
"epoch": 63.04347826086956,
"grad_norm": 0.9267759919166565,
"learning_rate": 7.245000000000001e-06,
"loss": 0.4682,
"step": 1450
},
{
"epoch": 65.21739130434783,
"grad_norm": 0.8514929413795471,
"learning_rate": 7.495000000000001e-06,
"loss": 0.4695,
"step": 1500
},
{
"epoch": 65.21739130434783,
"eval_loss": 0.43296581506729126,
"eval_runtime": 12.858,
"eval_samples_per_second": 12.521,
"eval_steps_per_second": 1.633,
"step": 1500
},
{
"epoch": 67.3913043478261,
"grad_norm": 1.6638849973678589,
"learning_rate": 7.745e-06,
"loss": 0.4674,
"step": 1550
},
{
"epoch": 69.56521739130434,
"grad_norm": 0.8030112981796265,
"learning_rate": 7.995e-06,
"loss": 0.4652,
"step": 1600
},
{
"epoch": 71.73913043478261,
"grad_norm": 1.2407337427139282,
"learning_rate": 8.245000000000002e-06,
"loss": 0.4638,
"step": 1650
},
{
"epoch": 73.91304347826087,
"grad_norm": 1.0331224203109741,
"learning_rate": 8.495e-06,
"loss": 0.4685,
"step": 1700
},
{
"epoch": 76.08695652173913,
"grad_norm": 2.4681615829467773,
"learning_rate": 8.745000000000002e-06,
"loss": 0.4627,
"step": 1750
},
{
"epoch": 78.26086956521739,
"grad_norm": 0.9344178438186646,
"learning_rate": 8.995000000000001e-06,
"loss": 0.4575,
"step": 1800
},
{
"epoch": 80.43478260869566,
"grad_norm": 1.0561341047286987,
"learning_rate": 9.245e-06,
"loss": 0.4621,
"step": 1850
},
{
"epoch": 82.6086956521739,
"grad_norm": 0.9816989302635193,
"learning_rate": 9.495000000000001e-06,
"loss": 0.4544,
"step": 1900
},
{
"epoch": 84.78260869565217,
"grad_norm": 1.4779256582260132,
"learning_rate": 9.745e-06,
"loss": 0.4579,
"step": 1950
},
{
"epoch": 86.95652173913044,
"grad_norm": 1.1634950637817383,
"learning_rate": 9.995000000000002e-06,
"loss": 0.4518,
"step": 2000
},
{
"epoch": 86.95652173913044,
"eval_loss": 0.42301931977272034,
"eval_runtime": 12.725,
"eval_samples_per_second": 12.652,
"eval_steps_per_second": 1.65,
"step": 2000
},
{
"epoch": 89.1304347826087,
"grad_norm": 1.0197867155075073,
"learning_rate": 9.918333333333335e-06,
"loss": 0.4501,
"step": 2050
},
{
"epoch": 91.30434782608695,
"grad_norm": 1.2543045282363892,
"learning_rate": 9.835000000000002e-06,
"loss": 0.4499,
"step": 2100
},
{
"epoch": 93.47826086956522,
"grad_norm": 0.8574827909469604,
"learning_rate": 9.751666666666667e-06,
"loss": 0.4485,
"step": 2150
},
{
"epoch": 95.65217391304348,
"grad_norm": 1.3784998655319214,
"learning_rate": 9.668333333333334e-06,
"loss": 0.4507,
"step": 2200
},
{
"epoch": 97.82608695652173,
"grad_norm": 0.9518347978591919,
"learning_rate": 9.585e-06,
"loss": 0.4486,
"step": 2250
},
{
"epoch": 100.0,
"grad_norm": 2.422320604324341,
"learning_rate": 9.501666666666667e-06,
"loss": 0.4455,
"step": 2300
},
{
"epoch": 102.17391304347827,
"grad_norm": 1.3441377878189087,
"learning_rate": 9.418333333333334e-06,
"loss": 0.45,
"step": 2350
},
{
"epoch": 104.34782608695652,
"grad_norm": 0.969160795211792,
"learning_rate": 9.335000000000001e-06,
"loss": 0.4454,
"step": 2400
},
{
"epoch": 106.52173913043478,
"grad_norm": 2.1275179386138916,
"learning_rate": 9.251666666666668e-06,
"loss": 0.4459,
"step": 2450
},
{
"epoch": 108.69565217391305,
"grad_norm": 1.3673362731933594,
"learning_rate": 9.168333333333333e-06,
"loss": 0.4442,
"step": 2500
},
{
"epoch": 108.69565217391305,
"eval_loss": 0.4178585410118103,
"eval_runtime": 13.0534,
"eval_samples_per_second": 12.334,
"eval_steps_per_second": 1.609,
"step": 2500
},
{
"epoch": 110.8695652173913,
"grad_norm": 1.3769398927688599,
"learning_rate": 9.085e-06,
"loss": 0.4406,
"step": 2550
},
{
"epoch": 113.04347826086956,
"grad_norm": 0.9913681745529175,
"learning_rate": 9.001666666666667e-06,
"loss": 0.4389,
"step": 2600
},
{
"epoch": 115.21739130434783,
"grad_norm": 1.1747106313705444,
"learning_rate": 8.918333333333334e-06,
"loss": 0.4386,
"step": 2650
},
{
"epoch": 117.3913043478261,
"grad_norm": 1.0514781475067139,
"learning_rate": 8.835000000000001e-06,
"loss": 0.4393,
"step": 2700
},
{
"epoch": 119.56521739130434,
"grad_norm": 1.8967915773391724,
"learning_rate": 8.751666666666668e-06,
"loss": 0.4421,
"step": 2750
},
{
"epoch": 121.73913043478261,
"grad_norm": 0.8795832395553589,
"learning_rate": 8.668333333333335e-06,
"loss": 0.436,
"step": 2800
},
{
"epoch": 123.91304347826087,
"grad_norm": 0.7928704023361206,
"learning_rate": 8.585000000000002e-06,
"loss": 0.4333,
"step": 2850
},
{
"epoch": 126.08695652173913,
"grad_norm": 1.2805510759353638,
"learning_rate": 8.501666666666667e-06,
"loss": 0.4326,
"step": 2900
},
{
"epoch": 128.2608695652174,
"grad_norm": 1.420920968055725,
"learning_rate": 8.418333333333334e-06,
"loss": 0.4317,
"step": 2950
},
{
"epoch": 130.43478260869566,
"grad_norm": 0.7063888907432556,
"learning_rate": 8.335e-06,
"loss": 0.4344,
"step": 3000
},
{
"epoch": 130.43478260869566,
"eval_loss": 0.41350311040878296,
"eval_runtime": 12.8066,
"eval_samples_per_second": 12.572,
"eval_steps_per_second": 1.64,
"step": 3000
},
{
"epoch": 132.6086956521739,
"grad_norm": 1.8065855503082275,
"learning_rate": 8.251666666666668e-06,
"loss": 0.4361,
"step": 3050
},
{
"epoch": 134.7826086956522,
"grad_norm": 0.8073704838752747,
"learning_rate": 8.168333333333334e-06,
"loss": 0.4339,
"step": 3100
},
{
"epoch": 136.95652173913044,
"grad_norm": 1.2890065908432007,
"learning_rate": 8.085000000000001e-06,
"loss": 0.4325,
"step": 3150
},
{
"epoch": 139.1304347826087,
"grad_norm": 1.336401104927063,
"learning_rate": 8.001666666666668e-06,
"loss": 0.4334,
"step": 3200
},
{
"epoch": 141.30434782608697,
"grad_norm": 1.2965891361236572,
"learning_rate": 7.918333333333333e-06,
"loss": 0.4298,
"step": 3250
},
{
"epoch": 143.47826086956522,
"grad_norm": 0.8761409521102905,
"learning_rate": 7.835e-06,
"loss": 0.4231,
"step": 3300
},
{
"epoch": 145.65217391304347,
"grad_norm": 1.1475930213928223,
"learning_rate": 7.751666666666667e-06,
"loss": 0.4316,
"step": 3350
},
{
"epoch": 147.82608695652175,
"grad_norm": 0.8305974006652832,
"learning_rate": 7.668333333333334e-06,
"loss": 0.4277,
"step": 3400
},
{
"epoch": 150.0,
"grad_norm": 1.6335935592651367,
"learning_rate": 7.585e-06,
"loss": 0.4248,
"step": 3450
},
{
"epoch": 152.17391304347825,
"grad_norm": 1.1171984672546387,
"learning_rate": 7.501666666666667e-06,
"loss": 0.4318,
"step": 3500
},
{
"epoch": 152.17391304347825,
"eval_loss": 0.4111216962337494,
"eval_runtime": 13.0991,
"eval_samples_per_second": 12.291,
"eval_steps_per_second": 1.603,
"step": 3500
}
],
"logging_steps": 50,
"max_steps": 8000,
"num_input_tokens_seen": 0,
"num_train_epochs": 348,
"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": 4.241687452614216e+16,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}