mistral10pEnt / trainer_state.json
terry69's picture
Model save
b0921dc verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 406,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0024630541871921183,
"grad_norm": 0.14659802615642548,
"learning_rate": 4.8780487804878055e-06,
"loss": 0.7984,
"step": 1
},
{
"epoch": 0.012315270935960592,
"grad_norm": 0.1637599617242813,
"learning_rate": 2.4390243902439026e-05,
"loss": 0.8035,
"step": 5
},
{
"epoch": 0.024630541871921183,
"grad_norm": 0.1230587288737297,
"learning_rate": 4.878048780487805e-05,
"loss": 0.7842,
"step": 10
},
{
"epoch": 0.03694581280788178,
"grad_norm": 0.15005113184452057,
"learning_rate": 7.317073170731707e-05,
"loss": 0.7873,
"step": 15
},
{
"epoch": 0.04926108374384237,
"grad_norm": 0.12097210437059402,
"learning_rate": 9.75609756097561e-05,
"loss": 0.7846,
"step": 20
},
{
"epoch": 0.06157635467980296,
"grad_norm": 0.11589064449071884,
"learning_rate": 0.00012195121951219512,
"loss": 0.7552,
"step": 25
},
{
"epoch": 0.07389162561576355,
"grad_norm": 0.09759484231472015,
"learning_rate": 0.00014634146341463414,
"loss": 0.7583,
"step": 30
},
{
"epoch": 0.08620689655172414,
"grad_norm": 0.10054591298103333,
"learning_rate": 0.0001707317073170732,
"loss": 0.7525,
"step": 35
},
{
"epoch": 0.09852216748768473,
"grad_norm": 0.10421372950077057,
"learning_rate": 0.0001951219512195122,
"loss": 0.7675,
"step": 40
},
{
"epoch": 0.11083743842364532,
"grad_norm": 0.11140761524438858,
"learning_rate": 0.0001999407400739705,
"loss": 0.7676,
"step": 45
},
{
"epoch": 0.12315270935960591,
"grad_norm": 0.1191256195306778,
"learning_rate": 0.00019970011699250152,
"loss": 0.7603,
"step": 50
},
{
"epoch": 0.1354679802955665,
"grad_norm": 0.105014368891716,
"learning_rate": 0.00019927487224577402,
"loss": 0.7403,
"step": 55
},
{
"epoch": 0.1477832512315271,
"grad_norm": 0.09925462305545807,
"learning_rate": 0.0001986657932891657,
"loss": 0.7595,
"step": 60
},
{
"epoch": 0.16009852216748768,
"grad_norm": 0.09827063977718353,
"learning_rate": 0.00019787400799669154,
"loss": 0.7318,
"step": 65
},
{
"epoch": 0.1724137931034483,
"grad_norm": 0.10286720842123032,
"learning_rate": 0.00019690098257244064,
"loss": 0.7462,
"step": 70
},
{
"epoch": 0.18472906403940886,
"grad_norm": 0.09935111552476883,
"learning_rate": 0.00019574851883550395,
"loss": 0.737,
"step": 75
},
{
"epoch": 0.19704433497536947,
"grad_norm": 0.1008954718708992,
"learning_rate": 0.00019441875088341997,
"loss": 0.7477,
"step": 80
},
{
"epoch": 0.20935960591133004,
"grad_norm": 0.09527204930782318,
"learning_rate": 0.00019291414114031743,
"loss": 0.709,
"step": 85
},
{
"epoch": 0.22167487684729065,
"grad_norm": 0.09949122369289398,
"learning_rate": 0.00019123747579707275,
"loss": 0.7422,
"step": 90
},
{
"epoch": 0.23399014778325122,
"grad_norm": 0.10889115184545517,
"learning_rate": 0.0001893918596519257,
"loss": 0.7582,
"step": 95
},
{
"epoch": 0.24630541871921183,
"grad_norm": 0.10153791308403015,
"learning_rate": 0.00018738071036110808,
"loss": 0.7443,
"step": 100
},
{
"epoch": 0.25862068965517243,
"grad_norm": 0.10695034265518188,
"learning_rate": 0.00018520775211013093,
"loss": 0.7401,
"step": 105
},
{
"epoch": 0.270935960591133,
"grad_norm": 0.10429364442825317,
"learning_rate": 0.00018287700871745036,
"loss": 0.7261,
"step": 110
},
{
"epoch": 0.2832512315270936,
"grad_norm": 0.0936528667807579,
"learning_rate": 0.00018039279618328212,
"loss": 0.7489,
"step": 115
},
{
"epoch": 0.2955665024630542,
"grad_norm": 0.10359769314527512,
"learning_rate": 0.0001777597146973627,
"loss": 0.7426,
"step": 120
},
{
"epoch": 0.3078817733990148,
"grad_norm": 0.09780474752187729,
"learning_rate": 0.00017498264012045687,
"loss": 0.7382,
"step": 125
},
{
"epoch": 0.32019704433497537,
"grad_norm": 0.09318186342716217,
"learning_rate": 0.00017206671495538612,
"loss": 0.7427,
"step": 130
},
{
"epoch": 0.33251231527093594,
"grad_norm": 0.09696605801582336,
"learning_rate": 0.0001690173388242972,
"loss": 0.7324,
"step": 135
},
{
"epoch": 0.3448275862068966,
"grad_norm": 0.10154663771390915,
"learning_rate": 0.0001658401584698049,
"loss": 0.7458,
"step": 140
},
{
"epoch": 0.35714285714285715,
"grad_norm": 0.09791245311498642,
"learning_rate": 0.00016254105729852464,
"loss": 0.7576,
"step": 145
},
{
"epoch": 0.3694581280788177,
"grad_norm": 0.09491541981697083,
"learning_rate": 0.00015912614448635782,
"loss": 0.7657,
"step": 150
},
{
"epoch": 0.3817733990147783,
"grad_norm": 0.09286640584468842,
"learning_rate": 0.00015560174366570446,
"loss": 0.7308,
"step": 155
},
{
"epoch": 0.39408866995073893,
"grad_norm": 0.09774602949619293,
"learning_rate": 0.0001519743812155516,
"loss": 0.7584,
"step": 160
},
{
"epoch": 0.4064039408866995,
"grad_norm": 0.09466628730297089,
"learning_rate": 0.00014825077417612186,
"loss": 0.7392,
"step": 165
},
{
"epoch": 0.4187192118226601,
"grad_norm": 0.09497351944446564,
"learning_rate": 0.00014443781781046136,
"loss": 0.7284,
"step": 170
},
{
"epoch": 0.43103448275862066,
"grad_norm": 0.09160592406988144,
"learning_rate": 0.00014054257283599973,
"loss": 0.727,
"step": 175
},
{
"epoch": 0.4433497536945813,
"grad_norm": 0.09102462232112885,
"learning_rate": 0.00013657225234972695,
"loss": 0.7329,
"step": 180
},
{
"epoch": 0.45566502463054187,
"grad_norm": 0.09601578861474991,
"learning_rate": 0.00013253420847119803,
"loss": 0.7453,
"step": 185
},
{
"epoch": 0.46798029556650245,
"grad_norm": 0.1020815521478653,
"learning_rate": 0.0001284359187281004,
"loss": 0.7378,
"step": 190
},
{
"epoch": 0.4802955665024631,
"grad_norm": 0.09883546084165573,
"learning_rate": 0.0001242849722095936,
"loss": 0.7419,
"step": 195
},
{
"epoch": 0.49261083743842365,
"grad_norm": 0.09545638412237167,
"learning_rate": 0.00012008905551306356,
"loss": 0.7245,
"step": 200
},
{
"epoch": 0.5049261083743842,
"grad_norm": 0.09954236447811127,
"learning_rate": 0.00011585593851031347,
"loss": 0.7414,
"step": 205
},
{
"epoch": 0.5172413793103449,
"grad_norm": 0.09122562408447266,
"learning_rate": 0.00011159345995955006,
"loss": 0.7449,
"step": 210
},
{
"epoch": 0.5295566502463054,
"grad_norm": 0.09573693573474884,
"learning_rate": 0.00010730951298980776,
"loss": 0.7519,
"step": 215
},
{
"epoch": 0.541871921182266,
"grad_norm": 0.0939580649137497,
"learning_rate": 0.00010301203048469083,
"loss": 0.7474,
"step": 220
},
{
"epoch": 0.5541871921182266,
"grad_norm": 0.09861047565937042,
"learning_rate": 9.870897039249911e-05,
"loss": 0.7495,
"step": 225
},
{
"epoch": 0.5665024630541872,
"grad_norm": 0.09757225215435028,
"learning_rate": 9.440830098993969e-05,
"loss": 0.7313,
"step": 230
},
{
"epoch": 0.5788177339901478,
"grad_norm": 0.09521643817424774,
"learning_rate": 9.011798612671286e-05,
"loss": 0.7419,
"step": 235
},
{
"epoch": 0.5911330049261084,
"grad_norm": 0.09147543460130692,
"learning_rate": 8.58459704782957e-05,
"loss": 0.7446,
"step": 240
},
{
"epoch": 0.603448275862069,
"grad_norm": 0.09894198179244995,
"learning_rate": 8.160016483423199e-05,
"loss": 0.7369,
"step": 245
},
{
"epoch": 0.6157635467980296,
"grad_norm": 0.09482599794864655,
"learning_rate": 7.738843144917119e-05,
"loss": 0.7425,
"step": 250
},
{
"epoch": 0.6280788177339901,
"grad_norm": 0.09859254956245422,
"learning_rate": 7.321856948378259e-05,
"loss": 0.7353,
"step": 255
},
{
"epoch": 0.6403940886699507,
"grad_norm": 0.09973224997520447,
"learning_rate": 6.909830056250527e-05,
"loss": 0.7495,
"step": 260
},
{
"epoch": 0.6527093596059114,
"grad_norm": 0.09812604635953903,
"learning_rate": 6.503525447487715e-05,
"loss": 0.7457,
"step": 265
},
{
"epoch": 0.6650246305418719,
"grad_norm": 0.10075949877500534,
"learning_rate": 6.103695504692122e-05,
"loss": 0.7492,
"step": 270
},
{
"epoch": 0.6773399014778325,
"grad_norm": 0.0954367071390152,
"learning_rate": 5.7110806208751655e-05,
"loss": 0.7568,
"step": 275
},
{
"epoch": 0.6896551724137931,
"grad_norm": 0.10051579773426056,
"learning_rate": 5.326407828419979e-05,
"loss": 0.7267,
"step": 280
},
{
"epoch": 0.7019704433497537,
"grad_norm": 0.10151689499616623,
"learning_rate": 4.9503894527847964e-05,
"loss": 0.7308,
"step": 285
},
{
"epoch": 0.7142857142857143,
"grad_norm": 0.09685605019330978,
"learning_rate": 4.583721793440188e-05,
"loss": 0.738,
"step": 290
},
{
"epoch": 0.7266009852216748,
"grad_norm": 0.09093429893255234,
"learning_rate": 4.227083834482728e-05,
"loss": 0.7396,
"step": 295
},
{
"epoch": 0.7389162561576355,
"grad_norm": 0.09881714731454849,
"learning_rate": 3.881135987312757e-05,
"loss": 0.7477,
"step": 300
},
{
"epoch": 0.7512315270935961,
"grad_norm": 0.09277685731649399,
"learning_rate": 3.546518867704499e-05,
"loss": 0.7401,
"step": 305
},
{
"epoch": 0.7635467980295566,
"grad_norm": 0.09268365055322647,
"learning_rate": 3.223852109533112e-05,
"loss": 0.72,
"step": 310
},
{
"epoch": 0.7758620689655172,
"grad_norm": 0.09532837569713593,
"learning_rate": 2.9137332173554043e-05,
"loss": 0.7324,
"step": 315
},
{
"epoch": 0.7881773399014779,
"grad_norm": 0.09861557185649872,
"learning_rate": 2.616736459968936e-05,
"loss": 0.7259,
"step": 320
},
{
"epoch": 0.8004926108374384,
"grad_norm": 0.09343482553958893,
"learning_rate": 2.33341180699841e-05,
"loss": 0.7259,
"step": 325
},
{
"epoch": 0.812807881773399,
"grad_norm": 0.09596487879753113,
"learning_rate": 2.0642839104785272e-05,
"loss": 0.7338,
"step": 330
},
{
"epoch": 0.8251231527093597,
"grad_norm": 0.09384419769048691,
"learning_rate": 1.8098511333192024e-05,
"loss": 0.7402,
"step": 335
},
{
"epoch": 0.8374384236453202,
"grad_norm": 0.09590372443199158,
"learning_rate": 1.570584626452173e-05,
"loss": 0.7201,
"step": 340
},
{
"epoch": 0.8497536945812808,
"grad_norm": 0.09268229454755783,
"learning_rate": 1.3469274563679402e-05,
"loss": 0.7238,
"step": 345
},
{
"epoch": 0.8620689655172413,
"grad_norm": 0.10362634807825089,
"learning_rate": 1.1392937846586215e-05,
"loss": 0.7436,
"step": 350
},
{
"epoch": 0.874384236453202,
"grad_norm": 0.09515894949436188,
"learning_rate": 9.48068101086026e-06,
"loss": 0.7305,
"step": 355
},
{
"epoch": 0.8866995073891626,
"grad_norm": 0.0960712730884552,
"learning_rate": 7.736045115951251e-06,
"loss": 0.7355,
"step": 360
},
{
"epoch": 0.8990147783251231,
"grad_norm": 0.0997166633605957,
"learning_rate": 6.16226082591359e-06,
"loss": 0.7259,
"step": 365
},
{
"epoch": 0.9113300492610837,
"grad_norm": 0.09447181224822998,
"learning_rate": 4.762242426960262e-06,
"loss": 0.7417,
"step": 370
},
{
"epoch": 0.9236453201970444,
"grad_norm": 0.0918818935751915,
"learning_rate": 3.5385824308756587e-06,
"loss": 0.7362,
"step": 375
},
{
"epoch": 0.9359605911330049,
"grad_norm": 0.09515990316867828,
"learning_rate": 2.493546774280531e-06,
"loss": 0.7361,
"step": 380
},
{
"epoch": 0.9482758620689655,
"grad_norm": 0.09238823503255844,
"learning_rate": 1.6290706226390285e-06,
"loss": 0.7239,
"step": 385
},
{
"epoch": 0.9605911330049262,
"grad_norm": 0.09093461185693741,
"learning_rate": 9.46754786777726e-07,
"loss": 0.7283,
"step": 390
},
{
"epoch": 0.9729064039408867,
"grad_norm": 0.09592490643262863,
"learning_rate": 4.4786275855247527e-07,
"loss": 0.7221,
"step": 395
},
{
"epoch": 0.9852216748768473,
"grad_norm": 0.09440485388040543,
"learning_rate": 1.333183711524133e-07,
"loss": 0.7501,
"step": 400
},
{
"epoch": 0.9975369458128078,
"grad_norm": 0.09735266119241714,
"learning_rate": 3.7040883734462683e-09,
"loss": 0.7408,
"step": 405
},
{
"epoch": 1.0,
"eval_loss": 0.8800588846206665,
"eval_runtime": 129.9783,
"eval_samples_per_second": 8.886,
"eval_steps_per_second": 0.562,
"step": 406
},
{
"epoch": 1.0,
"step": 406,
"total_flos": 2.1313457003010458e+18,
"train_loss": 0.7429345024043116,
"train_runtime": 28658.1492,
"train_samples_per_second": 3.627,
"train_steps_per_second": 0.014
}
],
"logging_steps": 5,
"max_steps": 406,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.1313457003010458e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}