abdouaziiz's picture
Upload 6 files
e551c7a
{
"best_metric": 0.9412656309208033,
"best_model_checkpoint": "hubert-large-ls960-ft/checkpoint-12500",
"epoch": 31.998484082870135,
"global_step": 15808,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.01,
"learning_rate": 9.487666034155598e-06,
"loss": 4.7142,
"step": 500
},
{
"epoch": 1.01,
"eval_accuracy": 0.0,
"eval_f1": 0.0,
"eval_loss": 5.276514053344727,
"eval_precision": 0.0,
"eval_runtime": 207.9912,
"eval_samples_per_second": 12.688,
"eval_steps_per_second": 1.058,
"step": 500
},
{
"epoch": 2.02,
"learning_rate": 1.8975332068311197e-05,
"loss": 4.396,
"step": 1000
},
{
"epoch": 2.02,
"eval_accuracy": 0.0,
"eval_f1": 0.0,
"eval_loss": 5.414546012878418,
"eval_precision": 0.0,
"eval_runtime": 211.3332,
"eval_samples_per_second": 12.487,
"eval_steps_per_second": 1.041,
"step": 1000
},
{
"epoch": 3.04,
"learning_rate": 2.846299810246679e-05,
"loss": 3.8883,
"step": 1500
},
{
"epoch": 3.04,
"eval_accuracy": 0.0473664266767715,
"eval_f1": 0.010399469379098707,
"eval_loss": 4.433555603027344,
"eval_precision": 0.04084585694141838,
"eval_runtime": 206.03,
"eval_samples_per_second": 12.809,
"eval_steps_per_second": 1.068,
"step": 1500
},
{
"epoch": 4.05,
"learning_rate": 2.9116468686300697e-05,
"loss": 2.7848,
"step": 2000
},
{
"epoch": 4.05,
"eval_accuracy": 0.129973474801061,
"eval_f1": 0.09643252305766986,
"eval_loss": 3.9772207736968994,
"eval_precision": 0.1280919938791079,
"eval_runtime": 212.3184,
"eval_samples_per_second": 12.429,
"eval_steps_per_second": 1.036,
"step": 2000
},
{
"epoch": 5.06,
"learning_rate": 2.8062135376396992e-05,
"loss": 1.8649,
"step": 2500
},
{
"epoch": 5.06,
"eval_accuracy": 0.15763546798029557,
"eval_f1": 0.15466013987384877,
"eval_loss": 3.44816255569458,
"eval_precision": 0.33391187818919965,
"eval_runtime": 206.6675,
"eval_samples_per_second": 12.769,
"eval_steps_per_second": 1.065,
"step": 2500
},
{
"epoch": 6.07,
"learning_rate": 2.700780206649329e-05,
"loss": 1.3084,
"step": 3000
},
{
"epoch": 6.07,
"eval_accuracy": 0.3080712391057219,
"eval_f1": 0.3402390216080642,
"eval_loss": 2.9702537059783936,
"eval_precision": 0.5296031035295795,
"eval_runtime": 212.8576,
"eval_samples_per_second": 12.398,
"eval_steps_per_second": 1.034,
"step": 3000
},
{
"epoch": 7.08,
"learning_rate": 2.5953468756589585e-05,
"loss": 0.9868,
"step": 3500
},
{
"epoch": 7.08,
"eval_accuracy": 0.46873815839333083,
"eval_f1": 0.5353322629682942,
"eval_loss": 2.3984930515289307,
"eval_precision": 0.8031566212997642,
"eval_runtime": 207.1643,
"eval_samples_per_second": 12.739,
"eval_steps_per_second": 1.062,
"step": 3500
},
{
"epoch": 8.1,
"learning_rate": 2.489913544668588e-05,
"loss": 0.7679,
"step": 4000
},
{
"epoch": 8.1,
"eval_accuracy": 0.6521409624857901,
"eval_f1": 0.7095065774545717,
"eval_loss": 1.7936781644821167,
"eval_precision": 0.8388581448735327,
"eval_runtime": 207.3219,
"eval_samples_per_second": 12.729,
"eval_steps_per_second": 1.061,
"step": 4000
},
{
"epoch": 9.11,
"learning_rate": 2.3844802136782175e-05,
"loss": 0.6232,
"step": 4500
},
{
"epoch": 9.11,
"eval_accuracy": 0.7389162561576355,
"eval_f1": 0.784666736405717,
"eval_loss": 1.4767512083053589,
"eval_precision": 0.8697758947640245,
"eval_runtime": 211.7813,
"eval_samples_per_second": 12.461,
"eval_steps_per_second": 1.039,
"step": 4500
},
{
"epoch": 10.12,
"learning_rate": 2.279046882687847e-05,
"loss": 0.5126,
"step": 5000
},
{
"epoch": 10.12,
"eval_accuracy": 0.8287230011367942,
"eval_f1": 0.8762583534303519,
"eval_loss": 1.054182529449463,
"eval_precision": 0.9442564310504037,
"eval_runtime": 210.7585,
"eval_samples_per_second": 12.521,
"eval_steps_per_second": 1.044,
"step": 5000
},
{
"epoch": 11.13,
"learning_rate": 2.1736135516974768e-05,
"loss": 0.4453,
"step": 5500
},
{
"epoch": 11.13,
"eval_accuracy": 0.8518378173550587,
"eval_f1": 0.8959895568662314,
"eval_loss": 0.9049583673477173,
"eval_precision": 0.9511477433978877,
"eval_runtime": 205.4589,
"eval_samples_per_second": 12.844,
"eval_steps_per_second": 1.071,
"step": 5500
},
{
"epoch": 12.15,
"learning_rate": 2.0681802207071063e-05,
"loss": 0.3775,
"step": 6000
},
{
"epoch": 12.15,
"eval_accuracy": 0.8927624100037893,
"eval_f1": 0.9265578308615539,
"eval_loss": 0.699573278427124,
"eval_precision": 0.9662252548898577,
"eval_runtime": 212.4773,
"eval_samples_per_second": 12.42,
"eval_steps_per_second": 1.035,
"step": 6000
},
{
"epoch": 13.16,
"learning_rate": 1.9627468897167357e-05,
"loss": 0.3568,
"step": 6500
},
{
"epoch": 13.16,
"eval_accuracy": 0.8957938613111027,
"eval_f1": 0.9284579551378114,
"eval_loss": 0.6156648993492126,
"eval_precision": 0.9743169949637361,
"eval_runtime": 210.2311,
"eval_samples_per_second": 12.553,
"eval_steps_per_second": 1.046,
"step": 6500
},
{
"epoch": 14.17,
"learning_rate": 1.8573135587263652e-05,
"loss": 0.3165,
"step": 7000
},
{
"epoch": 14.17,
"eval_accuracy": 0.9151193633952255,
"eval_f1": 0.943623023847651,
"eval_loss": 0.4924512505531311,
"eval_precision": 0.9763736094436646,
"eval_runtime": 206.0776,
"eval_samples_per_second": 12.806,
"eval_steps_per_second": 1.068,
"step": 7000
},
{
"epoch": 15.18,
"learning_rate": 1.751880227735995e-05,
"loss": 0.2951,
"step": 7500
},
{
"epoch": 15.18,
"eval_accuracy": 0.9037514209928003,
"eval_f1": 0.9368584519497015,
"eval_loss": 0.49918055534362793,
"eval_precision": 0.9772932630240506,
"eval_runtime": 205.4956,
"eval_samples_per_second": 12.842,
"eval_steps_per_second": 1.071,
"step": 7500
},
{
"epoch": 16.19,
"learning_rate": 1.6464468967456245e-05,
"loss": 0.2763,
"step": 8000
},
{
"epoch": 16.19,
"eval_accuracy": 0.9071618037135278,
"eval_f1": 0.9403855453166055,
"eval_loss": 0.5212343335151672,
"eval_precision": 0.9820562398022753,
"eval_runtime": 211.5185,
"eval_samples_per_second": 12.476,
"eval_steps_per_second": 1.04,
"step": 8000
},
{
"epoch": 17.21,
"learning_rate": 1.541013565755254e-05,
"loss": 0.2634,
"step": 8500
},
{
"epoch": 17.21,
"eval_accuracy": 0.9086775293671845,
"eval_f1": 0.9417778927796274,
"eval_loss": 0.5201326012611389,
"eval_precision": 0.9816838665228488,
"eval_runtime": 205.8774,
"eval_samples_per_second": 12.818,
"eval_steps_per_second": 1.069,
"step": 8500
},
{
"epoch": 18.22,
"learning_rate": 1.4355802347648837e-05,
"loss": 0.2422,
"step": 9000
},
{
"epoch": 18.22,
"eval_accuracy": 0.9234558544903373,
"eval_f1": 0.9514314684994079,
"eval_loss": 0.45036178827285767,
"eval_precision": 0.9839863223736393,
"eval_runtime": 211.5273,
"eval_samples_per_second": 12.476,
"eval_steps_per_second": 1.04,
"step": 9000
},
{
"epoch": 19.23,
"learning_rate": 1.3301469037745133e-05,
"loss": 0.236,
"step": 9500
},
{
"epoch": 19.23,
"eval_accuracy": 0.9257294429708223,
"eval_f1": 0.9518288569523149,
"eval_loss": 0.3829096853733063,
"eval_precision": 0.9824861532841103,
"eval_runtime": 210.8744,
"eval_samples_per_second": 12.515,
"eval_steps_per_second": 1.043,
"step": 9500
},
{
"epoch": 20.24,
"learning_rate": 1.2247135727841428e-05,
"loss": 0.2272,
"step": 10000
},
{
"epoch": 20.24,
"eval_accuracy": 0.9154982948086396,
"eval_f1": 0.9451193658066668,
"eval_loss": 0.4632132947444916,
"eval_precision": 0.9822249030180286,
"eval_runtime": 207.0475,
"eval_samples_per_second": 12.746,
"eval_steps_per_second": 1.063,
"step": 10000
},
{
"epoch": 21.25,
"learning_rate": 1.1192802417937724e-05,
"loss": 0.226,
"step": 10500
},
{
"epoch": 21.25,
"eval_accuracy": 0.9158772262220538,
"eval_f1": 0.947028332160647,
"eval_loss": 0.47312408685684204,
"eval_precision": 0.9837188228053231,
"eval_runtime": 210.5001,
"eval_samples_per_second": 12.537,
"eval_steps_per_second": 1.045,
"step": 10500
},
{
"epoch": 22.27,
"learning_rate": 1.013846910803402e-05,
"loss": 0.2129,
"step": 11000
},
{
"epoch": 22.27,
"eval_accuracy": 0.9298976885183782,
"eval_f1": 0.9548846481808738,
"eval_loss": 0.38141778111457825,
"eval_precision": 0.983160805693422,
"eval_runtime": 210.7476,
"eval_samples_per_second": 12.522,
"eval_steps_per_second": 1.044,
"step": 11000
},
{
"epoch": 23.28,
"learning_rate": 9.084135798130316e-06,
"loss": 0.2009,
"step": 11500
},
{
"epoch": 23.28,
"eval_accuracy": 0.9257294429708223,
"eval_f1": 0.9514840419100091,
"eval_loss": 0.4119464159011841,
"eval_precision": 0.9814366336318854,
"eval_runtime": 206.3284,
"eval_samples_per_second": 12.79,
"eval_steps_per_second": 1.066,
"step": 11500
},
{
"epoch": 24.29,
"learning_rate": 8.029802488226612e-06,
"loss": 0.1973,
"step": 12000
},
{
"epoch": 24.29,
"eval_accuracy": 0.9215611974232664,
"eval_f1": 0.9492716683321308,
"eval_loss": 0.43100807070732117,
"eval_precision": 0.98427363081955,
"eval_runtime": 210.5932,
"eval_samples_per_second": 12.531,
"eval_steps_per_second": 1.045,
"step": 12000
},
{
"epoch": 25.3,
"learning_rate": 6.975469178322908e-06,
"loss": 0.1965,
"step": 12500
},
{
"epoch": 25.3,
"eval_accuracy": 0.9412656309208033,
"eval_f1": 0.9627712250405202,
"eval_loss": 0.327240914106369,
"eval_precision": 0.9865248931670977,
"eval_runtime": 207.1296,
"eval_samples_per_second": 12.741,
"eval_steps_per_second": 1.062,
"step": 12500
},
{
"epoch": 26.32,
"learning_rate": 5.9211358684192026e-06,
"loss": 0.1989,
"step": 13000
},
{
"epoch": 26.32,
"eval_accuracy": 0.9242137173171656,
"eval_f1": 0.9527761591577618,
"eval_loss": 0.4231082797050476,
"eval_precision": 0.9877979282330233,
"eval_runtime": 212.06,
"eval_samples_per_second": 12.445,
"eval_steps_per_second": 1.037,
"step": 13000
},
{
"epoch": 27.33,
"learning_rate": 4.866802558515498e-06,
"loss": 0.1916,
"step": 13500
},
{
"epoch": 27.33,
"eval_accuracy": 0.9283819628647215,
"eval_f1": 0.9559474626706007,
"eval_loss": 0.3977676033973694,
"eval_precision": 0.9875814057989544,
"eval_runtime": 205.5092,
"eval_samples_per_second": 12.841,
"eval_steps_per_second": 1.071,
"step": 13500
},
{
"epoch": 28.34,
"learning_rate": 3.8124692486117947e-06,
"loss": 0.1849,
"step": 14000
},
{
"epoch": 28.34,
"eval_accuracy": 0.9215611974232664,
"eval_f1": 0.9506673563440831,
"eval_loss": 0.4528682827949524,
"eval_precision": 0.9865112585967588,
"eval_runtime": 212.4387,
"eval_samples_per_second": 12.422,
"eval_steps_per_second": 1.036,
"step": 14000
},
{
"epoch": 29.35,
"learning_rate": 2.7581359387080904e-06,
"loss": 0.1844,
"step": 14500
},
{
"epoch": 29.35,
"eval_accuracy": 0.9314134141720348,
"eval_f1": 0.9566213429287339,
"eval_loss": 0.3853737413883209,
"eval_precision": 0.9863541882706378,
"eval_runtime": 205.8351,
"eval_samples_per_second": 12.821,
"eval_steps_per_second": 1.069,
"step": 14500
},
{
"epoch": 30.36,
"learning_rate": 1.7038026288043862e-06,
"loss": 0.1831,
"step": 15000
},
{
"epoch": 30.36,
"eval_accuracy": 0.9257294429708223,
"eval_f1": 0.9527879636596958,
"eval_loss": 0.41776272654533386,
"eval_precision": 0.9853006909522924,
"eval_runtime": 210.65,
"eval_samples_per_second": 12.528,
"eval_steps_per_second": 1.044,
"step": 15000
},
{
"epoch": 31.38,
"learning_rate": 6.494693189006819e-07,
"loss": 0.1778,
"step": 15500
},
{
"epoch": 31.38,
"eval_accuracy": 0.9359605911330049,
"eval_f1": 0.9606362253618668,
"eval_loss": 0.37370702624320984,
"eval_precision": 0.9883638648463977,
"eval_runtime": 211.0911,
"eval_samples_per_second": 12.502,
"eval_steps_per_second": 1.042,
"step": 15500
},
{
"epoch": 32.0,
"step": 15808,
"total_flos": 1.2696857331997786e+20,
"train_loss": 0.858633176759187,
"train_runtime": 80385.1912,
"train_samples_per_second": 9.454,
"train_steps_per_second": 0.197
}
],
"max_steps": 15808,
"num_train_epochs": 32,
"total_flos": 1.2696857331997786e+20,
"trial_name": null,
"trial_params": null
}