amlk-e4-raw / checkpoint-250 /trainer_state.json
avreymi's picture
Training in progress, step 250, checkpoint
d242185 verified
Raw
History Blame Contribute Delete
10.1 kB
{
"best_global_step": 250,
"best_metric": 0.9828886389732361,
"best_model_checkpoint": "/data/output/checkpoint-250",
"epoch": 0.8539709649871904,
"eval_steps": 50,
"global_step": 250,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.1713112026453019,
"epoch": 0.034158838599487616,
"grad_norm": 3.3329014778137207,
"learning_rate": 0.00012,
"loss": 1.2999439239501953,
"mean_token_accuracy": 0.6959523037075996,
"num_tokens": 643010.0,
"step": 10
},
{
"entropy": 1.1543982975184917,
"epoch": 0.06831767719897523,
"grad_norm": 2.581118106842041,
"learning_rate": 0.00019989785286500295,
"loss": 1.1518776893615723,
"mean_token_accuracy": 0.7155417971313,
"num_tokens": 1251488.0,
"step": 20
},
{
"entropy": 0.9459363672882318,
"epoch": 0.10247651579846286,
"grad_norm": 2.3779942989349365,
"learning_rate": 0.00019875109281794825,
"loss": 0.9381013870239258,
"mean_token_accuracy": 0.7682368114590645,
"num_tokens": 1696074.0,
"step": 30
},
{
"entropy": 0.9385578982532025,
"epoch": 0.13663535439795046,
"grad_norm": 2.0882723331451416,
"learning_rate": 0.00019634456691705702,
"loss": 0.9547281265258789,
"mean_token_accuracy": 0.7626850850880146,
"num_tokens": 2006643.0,
"step": 40
},
{
"entropy": 0.9006230250000954,
"epoch": 0.1707941929974381,
"grad_norm": 2.151762008666992,
"learning_rate": 0.00019270897516847403,
"loss": 0.9329019546508789,
"mean_token_accuracy": 0.7718432284891605,
"num_tokens": 2177826.0,
"step": 50
},
{
"epoch": 0.1707941929974381,
"eval_entropy": 1.0149640817940235,
"eval_loss": 1.071570634841919,
"eval_mean_token_accuracy": 0.742358745932579,
"eval_num_tokens": 2177826.0,
"eval_runtime": 95.085,
"eval_samples_per_second": 1.052,
"eval_steps_per_second": 1.052,
"step": 50
},
{
"entropy": 1.2094877127557992,
"epoch": 0.2049530315969257,
"grad_norm": 2.767357587814331,
"learning_rate": 0.0001878906967484966,
"loss": 1.209201717376709,
"mean_token_accuracy": 0.7017950341105461,
"num_tokens": 644405.0,
"step": 60
},
{
"entropy": 1.1481261406093837,
"epoch": 0.23911187019641333,
"grad_norm": 2.805593252182007,
"learning_rate": 0.00018195119834528534,
"loss": 1.1588325500488281,
"mean_token_accuracy": 0.7221003979444504,
"num_tokens": 1268539.0,
"step": 70
},
{
"entropy": 0.9842961743474007,
"epoch": 0.27327070879590093,
"grad_norm": 2.233400344848633,
"learning_rate": 0.000174966250029467,
"loss": 1.0100913047790527,
"mean_token_accuracy": 0.7561626233160496,
"num_tokens": 1729123.0,
"step": 80
},
{
"entropy": 0.9889072403311729,
"epoch": 0.3074295473953886,
"grad_norm": 1.992038369178772,
"learning_rate": 0.0001670249586567531,
"loss": 1.0143807411193848,
"mean_token_accuracy": 0.7507779069244862,
"num_tokens": 2034736.0,
"step": 90
},
{
"entropy": 0.8992462156340479,
"epoch": 0.3415883859948762,
"grad_norm": 2.0321593284606934,
"learning_rate": 0.00015822863113343935,
"loss": 0.9014181137084961,
"mean_token_accuracy": 0.7751547530293464,
"num_tokens": 2199862.0,
"step": 100
},
{
"epoch": 0.3415883859948762,
"eval_entropy": 0.9943241326510907,
"eval_loss": 1.043296456336975,
"eval_mean_token_accuracy": 0.7519984298944473,
"eval_num_tokens": 2199862.0,
"eval_runtime": 95.5899,
"eval_samples_per_second": 1.046,
"eval_steps_per_second": 1.046,
"step": 100
},
{
"entropy": 1.1760564662516118,
"epoch": 0.37574722459436377,
"grad_norm": 3.0291037559509277,
"learning_rate": 0.000148689482046087,
"loss": 1.2000227928161622,
"mean_token_accuracy": 0.711453115195036,
"num_tokens": 643606.0,
"step": 110
},
{
"entropy": 1.1263522632420062,
"epoch": 0.4099060631938514,
"grad_norm": 2.554089307785034,
"learning_rate": 0.00013852920214212964,
"loss": 1.1538644790649415,
"mean_token_accuracy": 0.7203516490757466,
"num_tokens": 1250932.0,
"step": 120
},
{
"entropy": 0.9661639135330915,
"epoch": 0.444064901793339,
"grad_norm": 2.2706644535064697,
"learning_rate": 0.0001278774059232723,
"loss": 0.9473760604858399,
"mean_token_accuracy": 0.7646104976534843,
"num_tokens": 1690510.0,
"step": 130
},
{
"entropy": 0.9644285907968879,
"epoch": 0.47822374039282667,
"grad_norm": 1.8326361179351807,
"learning_rate": 0.00011686997815570473,
"loss": 0.9465847969055176,
"mean_token_accuracy": 0.760813869535923,
"num_tokens": 1991606.0,
"step": 140
},
{
"entropy": 0.847778935264796,
"epoch": 0.5123825789923142,
"grad_norm": 2.5428972244262695,
"learning_rate": 0.00010564734039066699,
"loss": 0.8805885314941406,
"mean_token_accuracy": 0.784095474332571,
"num_tokens": 2153462.0,
"step": 150
},
{
"epoch": 0.5123825789923142,
"eval_entropy": 1.0146987434476613,
"eval_loss": 1.0139193534851074,
"eval_mean_token_accuracy": 0.7562771487236023,
"eval_num_tokens": 2153462.0,
"eval_runtime": 95.2112,
"eval_samples_per_second": 1.05,
"eval_steps_per_second": 1.05,
"step": 150
},
{
"entropy": 1.2566933140158654,
"epoch": 0.5465414175918019,
"grad_norm": 2.956472873687744,
"learning_rate": 9.435265960933302e-05,
"loss": 1.2643850326538086,
"mean_token_accuracy": 0.700284918397665,
"num_tokens": 644011.0,
"step": 160
},
{
"entropy": 1.1445974234491587,
"epoch": 0.5807002561912895,
"grad_norm": 2.522840738296509,
"learning_rate": 8.313002184429529e-05,
"loss": 1.1480578422546386,
"mean_token_accuracy": 0.7231714740395546,
"num_tokens": 1272288.0,
"step": 170
},
{
"entropy": 0.9980672411620617,
"epoch": 0.6148590947907772,
"grad_norm": 2.023250102996826,
"learning_rate": 7.21225940767277e-05,
"loss": 1.0411287307739259,
"mean_token_accuracy": 0.74666218906641,
"num_tokens": 1728820.0,
"step": 180
},
{
"entropy": 0.9762071590870619,
"epoch": 0.6490179333902647,
"grad_norm": 1.7645409107208252,
"learning_rate": 6.147079785787038e-05,
"loss": 0.9519403457641602,
"mean_token_accuracy": 0.7596977911889553,
"num_tokens": 2027911.0,
"step": 190
},
{
"entropy": 0.829610382579267,
"epoch": 0.6831767719897524,
"grad_norm": 1.8310364484786987,
"learning_rate": 5.131051795391302e-05,
"loss": 0.8207592964172363,
"mean_token_accuracy": 0.7889963142573834,
"num_tokens": 2200169.0,
"step": 200
},
{
"epoch": 0.6831767719897524,
"eval_entropy": 1.0059119730442763,
"eval_loss": 1.002184271812439,
"eval_mean_token_accuracy": 0.7572826623916626,
"eval_num_tokens": 2200169.0,
"eval_runtime": 95.2716,
"eval_samples_per_second": 1.05,
"eval_steps_per_second": 1.05,
"step": 200
},
{
"entropy": 1.1494356069713831,
"epoch": 0.71733561058924,
"grad_norm": 3.3939480781555176,
"learning_rate": 4.1771368866560665e-05,
"loss": 1.169883918762207,
"mean_token_accuracy": 0.7144785463809967,
"num_tokens": 2843646.0,
"step": 210
},
{
"entropy": 1.1186032563447952,
"epoch": 0.7514944491887275,
"grad_norm": 2.491504192352295,
"learning_rate": 3.2975041343246936e-05,
"loss": 1.109489631652832,
"mean_token_accuracy": 0.7285458266735076,
"num_tokens": 3464241.0,
"step": 220
},
{
"entropy": 0.9699326818808913,
"epoch": 0.7856532877882152,
"grad_norm": 1.8113044500350952,
"learning_rate": 2.5033749970533015e-05,
"loss": 0.9755414009094239,
"mean_token_accuracy": 0.7635111711919308,
"num_tokens": 3914675.0,
"step": 230
},
{
"entropy": 0.9966869790107011,
"epoch": 0.8198121263877028,
"grad_norm": 1.7850583791732788,
"learning_rate": 1.8048801654714688e-05,
"loss": 1.020698356628418,
"mean_token_accuracy": 0.7484274171292782,
"num_tokens": 4212723.0,
"step": 240
},
{
"entropy": 0.8349324990995228,
"epoch": 0.8539709649871904,
"grad_norm": 1.9040881395339966,
"learning_rate": 1.2109303251503434e-05,
"loss": 0.8317201614379883,
"mean_token_accuracy": 0.7891084231436253,
"num_tokens": 4374805.0,
"step": 250
},
{
"epoch": 0.8539709649871904,
"eval_entropy": 0.968962878882885,
"eval_loss": 0.9828886389732361,
"eval_mean_token_accuracy": 0.7627548807859421,
"eval_num_tokens": 4374805.0,
"eval_runtime": 95.2882,
"eval_samples_per_second": 1.049,
"eval_steps_per_second": 1.049,
"step": 250
}
],
"logging_steps": 10,
"max_steps": 293,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 50,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 4.714933266799657e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}