GaetanMichelet's picture
Model save
0d585bd verified
raw
history blame contribute delete
No virus
11.3 kB
{
"best_metric": 0.9566597938537598,
"best_model_checkpoint": "data/Gemma-2-2B_task-3_60-samples_config-2_full_auto/checkpoint-43",
"epoch": 21.91304347826087,
"eval_steps": 500,
"global_step": 63,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.34782608695652173,
"grad_norm": 0.4215196371078491,
"learning_rate": 1e-05,
"loss": 1.3941,
"step": 1
},
{
"epoch": 0.6956521739130435,
"grad_norm": 0.398699015378952,
"learning_rate": 2e-05,
"loss": 1.3458,
"step": 2
},
{
"epoch": 0.6956521739130435,
"eval_loss": 1.3567560911178589,
"eval_runtime": 4.419,
"eval_samples_per_second": 2.716,
"eval_steps_per_second": 2.716,
"step": 2
},
{
"epoch": 1.391304347826087,
"grad_norm": 0.4273262321949005,
"learning_rate": 4e-05,
"loss": 1.3656,
"step": 4
},
{
"epoch": 1.7391304347826086,
"eval_loss": 1.3314852714538574,
"eval_runtime": 4.1881,
"eval_samples_per_second": 2.865,
"eval_steps_per_second": 2.865,
"step": 5
},
{
"epoch": 2.0869565217391304,
"grad_norm": 0.4063573479652405,
"learning_rate": 6e-05,
"loss": 1.3759,
"step": 6
},
{
"epoch": 2.782608695652174,
"grad_norm": 0.3449285328388214,
"learning_rate": 8e-05,
"loss": 1.3043,
"step": 8
},
{
"epoch": 2.782608695652174,
"eval_loss": 1.2450376749038696,
"eval_runtime": 4.1903,
"eval_samples_per_second": 2.864,
"eval_steps_per_second": 2.864,
"step": 8
},
{
"epoch": 3.4782608695652173,
"grad_norm": 0.24114809930324554,
"learning_rate": 0.0001,
"loss": 1.2137,
"step": 10
},
{
"epoch": 3.8260869565217392,
"eval_loss": 1.1759628057479858,
"eval_runtime": 4.1827,
"eval_samples_per_second": 2.869,
"eval_steps_per_second": 2.869,
"step": 11
},
{
"epoch": 4.173913043478261,
"grad_norm": 0.2410249561071396,
"learning_rate": 9.987820251299122e-05,
"loss": 1.1801,
"step": 12
},
{
"epoch": 4.869565217391305,
"grad_norm": 0.27519962191581726,
"learning_rate": 9.951340343707852e-05,
"loss": 1.1349,
"step": 14
},
{
"epoch": 4.869565217391305,
"eval_loss": 1.1266146898269653,
"eval_runtime": 4.1843,
"eval_samples_per_second": 2.868,
"eval_steps_per_second": 2.868,
"step": 14
},
{
"epoch": 5.565217391304348,
"grad_norm": 0.23488768935203552,
"learning_rate": 9.890738003669029e-05,
"loss": 1.0892,
"step": 16
},
{
"epoch": 5.913043478260869,
"eval_loss": 1.0785940885543823,
"eval_runtime": 4.187,
"eval_samples_per_second": 2.866,
"eval_steps_per_second": 2.866,
"step": 17
},
{
"epoch": 6.260869565217392,
"grad_norm": 0.24930627644062042,
"learning_rate": 9.806308479691595e-05,
"loss": 1.0527,
"step": 18
},
{
"epoch": 6.956521739130435,
"grad_norm": 0.33710455894470215,
"learning_rate": 9.698463103929542e-05,
"loss": 1.0063,
"step": 20
},
{
"epoch": 6.956521739130435,
"eval_loss": 1.0362237691879272,
"eval_runtime": 4.1829,
"eval_samples_per_second": 2.869,
"eval_steps_per_second": 2.869,
"step": 20
},
{
"epoch": 7.6521739130434785,
"grad_norm": 0.18661880493164062,
"learning_rate": 9.567727288213005e-05,
"loss": 0.9866,
"step": 22
},
{
"epoch": 8.0,
"eval_loss": 1.0086289644241333,
"eval_runtime": 4.1811,
"eval_samples_per_second": 2.87,
"eval_steps_per_second": 2.87,
"step": 23
},
{
"epoch": 8.347826086956522,
"grad_norm": 0.16058190166950226,
"learning_rate": 9.414737964294636e-05,
"loss": 0.9437,
"step": 24
},
{
"epoch": 8.695652173913043,
"eval_loss": 0.9958365559577942,
"eval_runtime": 4.1876,
"eval_samples_per_second": 2.866,
"eval_steps_per_second": 2.866,
"step": 25
},
{
"epoch": 9.043478260869565,
"grad_norm": 0.16996340453624725,
"learning_rate": 9.24024048078213e-05,
"loss": 0.9322,
"step": 26
},
{
"epoch": 9.73913043478261,
"grad_norm": 0.1740841567516327,
"learning_rate": 9.045084971874738e-05,
"loss": 0.9105,
"step": 28
},
{
"epoch": 9.73913043478261,
"eval_loss": 0.9804616570472717,
"eval_runtime": 4.186,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 28
},
{
"epoch": 10.434782608695652,
"grad_norm": 0.14579086005687714,
"learning_rate": 8.83022221559489e-05,
"loss": 0.9086,
"step": 30
},
{
"epoch": 10.782608695652174,
"eval_loss": 0.9710781574249268,
"eval_runtime": 4.1836,
"eval_samples_per_second": 2.868,
"eval_steps_per_second": 2.868,
"step": 31
},
{
"epoch": 11.130434782608695,
"grad_norm": 0.1706189066171646,
"learning_rate": 8.596699001693255e-05,
"loss": 0.8654,
"step": 32
},
{
"epoch": 11.826086956521738,
"grad_norm": 0.13660015165805817,
"learning_rate": 8.345653031794292e-05,
"loss": 0.884,
"step": 34
},
{
"epoch": 11.826086956521738,
"eval_loss": 0.9645407199859619,
"eval_runtime": 4.1832,
"eval_samples_per_second": 2.869,
"eval_steps_per_second": 2.869,
"step": 34
},
{
"epoch": 12.521739130434783,
"grad_norm": 0.1543744057416916,
"learning_rate": 8.07830737662829e-05,
"loss": 0.852,
"step": 36
},
{
"epoch": 12.869565217391305,
"eval_loss": 0.9601142406463623,
"eval_runtime": 4.1852,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 37
},
{
"epoch": 13.217391304347826,
"grad_norm": 0.14513741433620453,
"learning_rate": 7.795964517353735e-05,
"loss": 0.8525,
"step": 38
},
{
"epoch": 13.91304347826087,
"grad_norm": 0.13408692181110382,
"learning_rate": 7.500000000000001e-05,
"loss": 0.8465,
"step": 40
},
{
"epoch": 13.91304347826087,
"eval_loss": 0.9574996829032898,
"eval_runtime": 4.1833,
"eval_samples_per_second": 2.869,
"eval_steps_per_second": 2.869,
"step": 40
},
{
"epoch": 14.608695652173914,
"grad_norm": 0.13671351969242096,
"learning_rate": 7.191855733945387e-05,
"loss": 0.8197,
"step": 42
},
{
"epoch": 14.956521739130435,
"eval_loss": 0.9566597938537598,
"eval_runtime": 4.1845,
"eval_samples_per_second": 2.868,
"eval_steps_per_second": 2.868,
"step": 43
},
{
"epoch": 15.304347826086957,
"grad_norm": 0.13350413739681244,
"learning_rate": 6.873032967079561e-05,
"loss": 0.8164,
"step": 44
},
{
"epoch": 16.0,
"grad_norm": 0.14021657407283783,
"learning_rate": 6.545084971874738e-05,
"loss": 0.8147,
"step": 46
},
{
"epoch": 16.0,
"eval_loss": 0.9570537209510803,
"eval_runtime": 4.1897,
"eval_samples_per_second": 2.864,
"eval_steps_per_second": 2.864,
"step": 46
},
{
"epoch": 16.695652173913043,
"grad_norm": 0.28469404578208923,
"learning_rate": 6.209609477998338e-05,
"loss": 0.7741,
"step": 48
},
{
"epoch": 16.695652173913043,
"eval_loss": 0.9576375484466553,
"eval_runtime": 4.1859,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 48
},
{
"epoch": 17.391304347826086,
"grad_norm": 0.16427278518676758,
"learning_rate": 5.868240888334653e-05,
"loss": 0.7843,
"step": 50
},
{
"epoch": 17.73913043478261,
"eval_loss": 0.9597352147102356,
"eval_runtime": 4.1861,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 51
},
{
"epoch": 18.08695652173913,
"grad_norm": 0.1639845371246338,
"learning_rate": 5.522642316338268e-05,
"loss": 0.7963,
"step": 52
},
{
"epoch": 18.782608695652176,
"grad_norm": 0.18433023989200592,
"learning_rate": 5.174497483512506e-05,
"loss": 0.7714,
"step": 54
},
{
"epoch": 18.782608695652176,
"eval_loss": 0.9629867672920227,
"eval_runtime": 4.1865,
"eval_samples_per_second": 2.866,
"eval_steps_per_second": 2.866,
"step": 54
},
{
"epoch": 19.47826086956522,
"grad_norm": 0.17088112235069275,
"learning_rate": 4.825502516487497e-05,
"loss": 0.7444,
"step": 56
},
{
"epoch": 19.82608695652174,
"eval_loss": 0.9685425758361816,
"eval_runtime": 4.1854,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 57
},
{
"epoch": 20.17391304347826,
"grad_norm": 0.18618661165237427,
"learning_rate": 4.477357683661734e-05,
"loss": 0.7527,
"step": 58
},
{
"epoch": 20.869565217391305,
"grad_norm": 0.18860526382923126,
"learning_rate": 4.131759111665349e-05,
"loss": 0.7328,
"step": 60
},
{
"epoch": 20.869565217391305,
"eval_loss": 0.9758319854736328,
"eval_runtime": 4.1832,
"eval_samples_per_second": 2.869,
"eval_steps_per_second": 2.869,
"step": 60
},
{
"epoch": 21.565217391304348,
"grad_norm": 0.1849859207868576,
"learning_rate": 3.790390522001662e-05,
"loss": 0.7226,
"step": 62
},
{
"epoch": 21.91304347826087,
"eval_loss": 0.9808992743492126,
"eval_runtime": 4.1853,
"eval_samples_per_second": 2.867,
"eval_steps_per_second": 2.867,
"step": 63
},
{
"epoch": 21.91304347826087,
"step": 63,
"total_flos": 2.784926601366733e+16,
"train_loss": 0.9541767854539175,
"train_runtime": 1196.6871,
"train_samples_per_second": 1.922,
"train_steps_per_second": 0.084
}
],
"logging_steps": 2,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 7,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2.784926601366733e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}