GaetanMichelet's picture
Model save
346e45d verified
raw
history blame contribute delete
No virus
10.4 kB
{
"best_metric": 1.0276590585708618,
"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-2_full/checkpoint-37",
"epoch": 19.82608695652174,
"eval_steps": 500,
"global_step": 57,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.34782608695652173,
"grad_norm": 1.4650648832321167,
"learning_rate": 1e-05,
"loss": 2.5672,
"step": 1
},
{
"epoch": 0.6956521739130435,
"grad_norm": 1.4680970907211304,
"learning_rate": 2e-05,
"loss": 2.6105,
"step": 2
},
{
"epoch": 0.6956521739130435,
"eval_loss": 2.4359917640686035,
"eval_runtime": 1.1542,
"eval_samples_per_second": 10.397,
"eval_steps_per_second": 10.397,
"step": 2
},
{
"epoch": 1.391304347826087,
"grad_norm": 1.4834535121917725,
"learning_rate": 4e-05,
"loss": 2.5655,
"step": 4
},
{
"epoch": 1.7391304347826086,
"eval_loss": 2.3295297622680664,
"eval_runtime": 1.1399,
"eval_samples_per_second": 10.527,
"eval_steps_per_second": 10.527,
"step": 5
},
{
"epoch": 2.0869565217391304,
"grad_norm": 1.4470669031143188,
"learning_rate": 6e-05,
"loss": 2.5035,
"step": 6
},
{
"epoch": 2.782608695652174,
"grad_norm": 1.1602197885513306,
"learning_rate": 8e-05,
"loss": 2.2831,
"step": 8
},
{
"epoch": 2.782608695652174,
"eval_loss": 1.9787424802780151,
"eval_runtime": 1.1295,
"eval_samples_per_second": 10.624,
"eval_steps_per_second": 10.624,
"step": 8
},
{
"epoch": 3.4782608695652173,
"grad_norm": 0.9839016795158386,
"learning_rate": 0.0001,
"loss": 2.0137,
"step": 10
},
{
"epoch": 3.8260869565217392,
"eval_loss": 1.6424676179885864,
"eval_runtime": 1.1078,
"eval_samples_per_second": 10.832,
"eval_steps_per_second": 10.832,
"step": 11
},
{
"epoch": 4.173913043478261,
"grad_norm": 0.9552060961723328,
"learning_rate": 9.987820251299122e-05,
"loss": 1.7427,
"step": 12
},
{
"epoch": 4.869565217391305,
"grad_norm": 0.9589630961418152,
"learning_rate": 9.951340343707852e-05,
"loss": 1.5688,
"step": 14
},
{
"epoch": 4.869565217391305,
"eval_loss": 1.4293409585952759,
"eval_runtime": 1.1224,
"eval_samples_per_second": 10.692,
"eval_steps_per_second": 10.692,
"step": 14
},
{
"epoch": 5.565217391304348,
"grad_norm": 0.9522896409034729,
"learning_rate": 9.890738003669029e-05,
"loss": 1.4129,
"step": 16
},
{
"epoch": 5.913043478260869,
"eval_loss": 1.2381266355514526,
"eval_runtime": 1.0841,
"eval_samples_per_second": 11.069,
"eval_steps_per_second": 11.069,
"step": 17
},
{
"epoch": 6.260869565217392,
"grad_norm": 0.7782798409461975,
"learning_rate": 9.806308479691595e-05,
"loss": 1.2163,
"step": 18
},
{
"epoch": 6.956521739130435,
"grad_norm": 0.5571452379226685,
"learning_rate": 9.698463103929542e-05,
"loss": 1.1583,
"step": 20
},
{
"epoch": 6.956521739130435,
"eval_loss": 1.1528657674789429,
"eval_runtime": 1.3288,
"eval_samples_per_second": 9.031,
"eval_steps_per_second": 9.031,
"step": 20
},
{
"epoch": 7.6521739130434785,
"grad_norm": 0.4758853018283844,
"learning_rate": 9.567727288213005e-05,
"loss": 1.0951,
"step": 22
},
{
"epoch": 8.0,
"eval_loss": 1.1033568382263184,
"eval_runtime": 1.1326,
"eval_samples_per_second": 10.595,
"eval_steps_per_second": 10.595,
"step": 23
},
{
"epoch": 8.347826086956522,
"grad_norm": 0.42092087864875793,
"learning_rate": 9.414737964294636e-05,
"loss": 1.0201,
"step": 24
},
{
"epoch": 8.695652173913043,
"eval_loss": 1.0815891027450562,
"eval_runtime": 1.1465,
"eval_samples_per_second": 10.467,
"eval_steps_per_second": 10.467,
"step": 25
},
{
"epoch": 9.043478260869565,
"grad_norm": 0.47605592012405396,
"learning_rate": 9.24024048078213e-05,
"loss": 1.0132,
"step": 26
},
{
"epoch": 9.73913043478261,
"grad_norm": 0.4391937553882599,
"learning_rate": 9.045084971874738e-05,
"loss": 0.9479,
"step": 28
},
{
"epoch": 9.73913043478261,
"eval_loss": 1.0555545091629028,
"eval_runtime": 1.0994,
"eval_samples_per_second": 10.915,
"eval_steps_per_second": 10.915,
"step": 28
},
{
"epoch": 10.434782608695652,
"grad_norm": 0.40881142020225525,
"learning_rate": 8.83022221559489e-05,
"loss": 0.9142,
"step": 30
},
{
"epoch": 10.782608695652174,
"eval_loss": 1.0382660627365112,
"eval_runtime": 1.1453,
"eval_samples_per_second": 10.478,
"eval_steps_per_second": 10.478,
"step": 31
},
{
"epoch": 11.130434782608695,
"grad_norm": 0.4644452929496765,
"learning_rate": 8.596699001693255e-05,
"loss": 0.9162,
"step": 32
},
{
"epoch": 11.826086956521738,
"grad_norm": 0.4141174852848053,
"learning_rate": 8.345653031794292e-05,
"loss": 0.8428,
"step": 34
},
{
"epoch": 11.826086956521738,
"eval_loss": 1.0283986330032349,
"eval_runtime": 1.1316,
"eval_samples_per_second": 10.605,
"eval_steps_per_second": 10.605,
"step": 34
},
{
"epoch": 12.521739130434783,
"grad_norm": 0.41718557476997375,
"learning_rate": 8.07830737662829e-05,
"loss": 0.8092,
"step": 36
},
{
"epoch": 12.869565217391305,
"eval_loss": 1.0276590585708618,
"eval_runtime": 1.1297,
"eval_samples_per_second": 10.623,
"eval_steps_per_second": 10.623,
"step": 37
},
{
"epoch": 13.217391304347826,
"grad_norm": 0.5159082412719727,
"learning_rate": 7.795964517353735e-05,
"loss": 0.8069,
"step": 38
},
{
"epoch": 13.91304347826087,
"grad_norm": 0.45884421467781067,
"learning_rate": 7.500000000000001e-05,
"loss": 0.7383,
"step": 40
},
{
"epoch": 13.91304347826087,
"eval_loss": 1.0369309186935425,
"eval_runtime": 1.2608,
"eval_samples_per_second": 9.518,
"eval_steps_per_second": 9.518,
"step": 40
},
{
"epoch": 14.608695652173914,
"grad_norm": 0.483315110206604,
"learning_rate": 7.191855733945387e-05,
"loss": 0.7168,
"step": 42
},
{
"epoch": 14.956521739130435,
"eval_loss": 1.0502351522445679,
"eval_runtime": 1.1426,
"eval_samples_per_second": 10.502,
"eval_steps_per_second": 10.502,
"step": 43
},
{
"epoch": 15.304347826086957,
"grad_norm": 0.493073433637619,
"learning_rate": 6.873032967079561e-05,
"loss": 0.6916,
"step": 44
},
{
"epoch": 16.0,
"grad_norm": 0.5290191769599915,
"learning_rate": 6.545084971874738e-05,
"loss": 0.6614,
"step": 46
},
{
"epoch": 16.0,
"eval_loss": 1.069225788116455,
"eval_runtime": 1.1188,
"eval_samples_per_second": 10.726,
"eval_steps_per_second": 10.726,
"step": 46
},
{
"epoch": 16.695652173913043,
"grad_norm": 0.5160197019577026,
"learning_rate": 6.209609477998338e-05,
"loss": 0.6166,
"step": 48
},
{
"epoch": 16.695652173913043,
"eval_loss": 1.0938966274261475,
"eval_runtime": 1.1263,
"eval_samples_per_second": 10.655,
"eval_steps_per_second": 10.655,
"step": 48
},
{
"epoch": 17.391304347826086,
"grad_norm": 0.549968421459198,
"learning_rate": 5.868240888334653e-05,
"loss": 0.6045,
"step": 50
},
{
"epoch": 17.73913043478261,
"eval_loss": 1.136326789855957,
"eval_runtime": 1.1359,
"eval_samples_per_second": 10.564,
"eval_steps_per_second": 10.564,
"step": 51
},
{
"epoch": 18.08695652173913,
"grad_norm": 0.5940390229225159,
"learning_rate": 5.522642316338268e-05,
"loss": 0.5412,
"step": 52
},
{
"epoch": 18.782608695652176,
"grad_norm": 0.6177570223808289,
"learning_rate": 5.174497483512506e-05,
"loss": 0.5177,
"step": 54
},
{
"epoch": 18.782608695652176,
"eval_loss": 1.178524374961853,
"eval_runtime": 1.1311,
"eval_samples_per_second": 10.609,
"eval_steps_per_second": 10.609,
"step": 54
},
{
"epoch": 19.47826086956522,
"grad_norm": 0.6144609451293945,
"learning_rate": 4.825502516487497e-05,
"loss": 0.5067,
"step": 56
},
{
"epoch": 19.82608695652174,
"eval_loss": 1.2188189029693604,
"eval_runtime": 1.1224,
"eval_samples_per_second": 10.692,
"eval_steps_per_second": 10.692,
"step": 57
},
{
"epoch": 19.82608695652174,
"step": 57,
"total_flos": 3568612577640448.0,
"train_loss": 1.1697518522279304,
"train_runtime": 430.7309,
"train_samples_per_second": 5.34,
"train_steps_per_second": 0.232
}
],
"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": 3568612577640448.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}