erikkaum's picture
download
raw
8.67 kB
{
"best_global_step": 2000,
"best_metric": 0.6828322410583496,
"best_model_checkpoint": "cache/small/checkpoints_v3/checkpoint-2000",
"epoch": 0.1025010250102501,
"eval_steps": 2000,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0025625256252562525,
"grad_norm": 1.1051346063613892,
"learning_rate": 9.800000000000001e-06,
"loss": 0.36488655090332034,
"step": 50
},
{
"epoch": 0.005125051250512505,
"grad_norm": 1.0379502773284912,
"learning_rate": 1.9800000000000004e-05,
"loss": 0.35713844299316405,
"step": 100
},
{
"epoch": 0.007687576875768758,
"grad_norm": 1.1215693950653076,
"learning_rate": 2.98e-05,
"loss": 0.3607748794555664,
"step": 150
},
{
"epoch": 0.01025010250102501,
"grad_norm": 1.1428300142288208,
"learning_rate": 3.9800000000000005e-05,
"loss": 0.3552509307861328,
"step": 200
},
{
"epoch": 0.012812628126281263,
"grad_norm": 1.1242265701293945,
"learning_rate": 4.9800000000000004e-05,
"loss": 0.3576408004760742,
"step": 250
},
{
"epoch": 0.015375153751537515,
"grad_norm": 1.1097745895385742,
"learning_rate": 5.9800000000000003e-05,
"loss": 0.35824737548828123,
"step": 300
},
{
"epoch": 0.017937679376793768,
"grad_norm": 1.0019261837005615,
"learning_rate": 6.98e-05,
"loss": 0.3588117599487305,
"step": 350
},
{
"epoch": 0.02050020500205002,
"grad_norm": 0.9644513726234436,
"learning_rate": 7.98e-05,
"loss": 0.3657228469848633,
"step": 400
},
{
"epoch": 0.023062730627306273,
"grad_norm": 1.1716028451919556,
"learning_rate": 8.98e-05,
"loss": 0.37080657958984375,
"step": 450
},
{
"epoch": 0.025625256252562525,
"grad_norm": 1.018113613128662,
"learning_rate": 9.98e-05,
"loss": 0.36805721282958986,
"step": 500
},
{
"epoch": 0.028187781877818778,
"grad_norm": 1.1356464624404907,
"learning_rate": 9.99495157634453e-05,
"loss": 0.37148025512695315,
"step": 550
},
{
"epoch": 0.03075030750307503,
"grad_norm": 1.2209874391555786,
"learning_rate": 9.989800123634865e-05,
"loss": 0.3799387359619141,
"step": 600
},
{
"epoch": 0.03331283312833128,
"grad_norm": 1.0993411540985107,
"learning_rate": 9.984648670925202e-05,
"loss": 0.38206844329833983,
"step": 650
},
{
"epoch": 0.035875358753587536,
"grad_norm": 1.150312066078186,
"learning_rate": 9.979497218215538e-05,
"loss": 0.3814669036865234,
"step": 700
},
{
"epoch": 0.03843788437884379,
"grad_norm": 1.1544060707092285,
"learning_rate": 9.974345765505873e-05,
"loss": 0.3826092529296875,
"step": 750
},
{
"epoch": 0.04100041000410004,
"grad_norm": 1.075146198272705,
"learning_rate": 9.96919431279621e-05,
"loss": 0.377677001953125,
"step": 800
},
{
"epoch": 0.04356293562935629,
"grad_norm": 1.070531964302063,
"learning_rate": 9.964042860086545e-05,
"loss": 0.38505050659179685,
"step": 850
},
{
"epoch": 0.046125461254612546,
"grad_norm": 1.1864845752716064,
"learning_rate": 9.958891407376881e-05,
"loss": 0.3866250991821289,
"step": 900
},
{
"epoch": 0.0486879868798688,
"grad_norm": 1.229409098625183,
"learning_rate": 9.953739954667216e-05,
"loss": 0.390551872253418,
"step": 950
},
{
"epoch": 0.05125051250512505,
"grad_norm": 1.10013747215271,
"learning_rate": 9.948588501957552e-05,
"loss": 0.3865232086181641,
"step": 1000
},
{
"epoch": 0.053813038130381304,
"grad_norm": 1.2265090942382812,
"learning_rate": 9.943437049247888e-05,
"loss": 0.38285724639892577,
"step": 1050
},
{
"epoch": 0.056375563755637556,
"grad_norm": 1.1173005104064941,
"learning_rate": 9.938285596538224e-05,
"loss": 0.3867513275146484,
"step": 1100
},
{
"epoch": 0.05893808938089381,
"grad_norm": 1.1064320802688599,
"learning_rate": 9.933134143828559e-05,
"loss": 0.3864853286743164,
"step": 1150
},
{
"epoch": 0.06150061500615006,
"grad_norm": 0.9700886607170105,
"learning_rate": 9.927982691118896e-05,
"loss": 0.3844454574584961,
"step": 1200
},
{
"epoch": 0.06406314063140632,
"grad_norm": 1.0213518142700195,
"learning_rate": 9.922831238409231e-05,
"loss": 0.39336017608642576,
"step": 1250
},
{
"epoch": 0.06662566625666257,
"grad_norm": 1.0725339651107788,
"learning_rate": 9.917679785699567e-05,
"loss": 0.38393234252929687,
"step": 1300
},
{
"epoch": 0.06918819188191883,
"grad_norm": 1.1702908277511597,
"learning_rate": 9.912528332989904e-05,
"loss": 0.3882109069824219,
"step": 1350
},
{
"epoch": 0.07175071750717507,
"grad_norm": 1.082552194595337,
"learning_rate": 9.907376880280239e-05,
"loss": 0.3867752838134766,
"step": 1400
},
{
"epoch": 0.07431324313243133,
"grad_norm": 1.128678798675537,
"learning_rate": 9.902225427570574e-05,
"loss": 0.3881544494628906,
"step": 1450
},
{
"epoch": 0.07687576875768758,
"grad_norm": 1.0918948650360107,
"learning_rate": 9.897073974860911e-05,
"loss": 0.3869658660888672,
"step": 1500
},
{
"epoch": 0.07943829438294384,
"grad_norm": 1.0815236568450928,
"learning_rate": 9.891922522151247e-05,
"loss": 0.39020267486572263,
"step": 1550
},
{
"epoch": 0.08200082000820008,
"grad_norm": 1.0975167751312256,
"learning_rate": 9.886771069441582e-05,
"loss": 0.3906606292724609,
"step": 1600
},
{
"epoch": 0.08456334563345634,
"grad_norm": 1.116685152053833,
"learning_rate": 9.881619616731919e-05,
"loss": 0.3883519744873047,
"step": 1650
},
{
"epoch": 0.08712587125871259,
"grad_norm": 1.0836381912231445,
"learning_rate": 9.876468164022254e-05,
"loss": 0.38965553283691406,
"step": 1700
},
{
"epoch": 0.08968839688396885,
"grad_norm": 1.043843388557434,
"learning_rate": 9.871316711312591e-05,
"loss": 0.3916368103027344,
"step": 1750
},
{
"epoch": 0.09225092250922509,
"grad_norm": 1.1080198287963867,
"learning_rate": 9.866165258602926e-05,
"loss": 0.3878855895996094,
"step": 1800
},
{
"epoch": 0.09481344813448135,
"grad_norm": 1.1533907651901245,
"learning_rate": 9.861013805893262e-05,
"loss": 0.38703533172607424,
"step": 1850
},
{
"epoch": 0.0973759737597376,
"grad_norm": 1.0471681356430054,
"learning_rate": 9.855862353183599e-05,
"loss": 0.3946280670166016,
"step": 1900
},
{
"epoch": 0.09993849938499386,
"grad_norm": 1.069541335105896,
"learning_rate": 9.850710900473934e-05,
"loss": 0.38905384063720705,
"step": 1950
},
{
"epoch": 0.1025010250102501,
"grad_norm": 1.1811953783035278,
"learning_rate": 9.84555944776427e-05,
"loss": 0.3862751388549805,
"step": 2000
},
{
"epoch": 0.1025010250102501,
"eval_loss": 0.7286977767944336,
"eval_runtime": 2.0545,
"eval_samples_per_second": 4867.301,
"eval_steps_per_second": 4.867,
"eval_teacher_cosine_loss": 0.3171677589416504,
"eval_teacher_cosine_mean": 0.6828322410583496,
"eval_teacher_cosine_p10": 0.5881704092025757,
"eval_teacher_cosine_p50": 0.6930590867996216,
"step": 2000
}
],
"logging_steps": 50,
"max_steps": 97560,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 2000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 512,
"trial_name": null,
"trial_params": null
}

Xet Storage Details

Size:
8.67 kB
·
Xet hash:
6a38a40a6b82bcc3c8b7b0fac9332d37555ffb8b89bd3a60a0089a9b178d696c

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.