avsolatorio's picture
Training in progress, step 18000, checkpoint
abec04b verified
{
"best_metric": 0.03750571236014366,
"best_model_checkpoint": "doc-topic-model_eval-02_train-04/checkpoint-13000",
"epoch": 8.871365204534253,
"eval_steps": 1000,
"global_step": 18000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.2464268112370626,
"grad_norm": 0.36145079135894775,
"learning_rate": 1.9950714637752587e-05,
"loss": 0.1655,
"step": 500
},
{
"epoch": 0.4928536224741252,
"grad_norm": 0.3764462471008301,
"learning_rate": 1.990142927550518e-05,
"loss": 0.0934,
"step": 1000
},
{
"epoch": 0.4928536224741252,
"eval_accuracy": 0.9813654208653996,
"eval_f1": 0.0,
"eval_loss": 0.09037782996892929,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 12.0127,
"eval_samples_per_second": 675.12,
"eval_steps_per_second": 2.664,
"step": 1000
},
{
"epoch": 0.7392804337111878,
"grad_norm": 0.3353608548641205,
"learning_rate": 1.9852143913257764e-05,
"loss": 0.0875,
"step": 1500
},
{
"epoch": 0.9857072449482503,
"grad_norm": 0.3118976652622223,
"learning_rate": 1.980285855101035e-05,
"loss": 0.0778,
"step": 2000
},
{
"epoch": 0.9857072449482503,
"eval_accuracy": 0.9813654208653996,
"eval_f1": 0.0,
"eval_loss": 0.07024028897285461,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 12.1524,
"eval_samples_per_second": 667.356,
"eval_steps_per_second": 2.633,
"step": 2000
},
{
"epoch": 1.232134056185313,
"grad_norm": 0.36931222677230835,
"learning_rate": 1.975357318876294e-05,
"loss": 0.0682,
"step": 2500
},
{
"epoch": 1.4785608674223756,
"grad_norm": 0.3769352436065674,
"learning_rate": 1.9704287826515527e-05,
"loss": 0.0618,
"step": 3000
},
{
"epoch": 1.4785608674223756,
"eval_accuracy": 0.9827912184474964,
"eval_f1": 0.1751358695652174,
"eval_loss": 0.05670051649212837,
"eval_precision": 0.8199745547073791,
"eval_recall": 0.09803772436872528,
"eval_runtime": 14.2669,
"eval_samples_per_second": 568.448,
"eval_steps_per_second": 2.243,
"step": 3000
},
{
"epoch": 1.724987678659438,
"grad_norm": 0.3530617356300354,
"learning_rate": 1.9655002464268113e-05,
"loss": 0.0565,
"step": 3500
},
{
"epoch": 1.9714144898965007,
"grad_norm": 0.3648615777492523,
"learning_rate": 1.96057171020207e-05,
"loss": 0.0535,
"step": 4000
},
{
"epoch": 1.9714144898965007,
"eval_accuracy": 0.9842510310812534,
"eval_f1": 0.33580394500896593,
"eval_loss": 0.049183741211891174,
"eval_precision": 0.7841987716359575,
"eval_recall": 0.21364466078491026,
"eval_runtime": 14.4394,
"eval_samples_per_second": 561.657,
"eval_steps_per_second": 2.216,
"step": 4000
},
{
"epoch": 2.2178413011335634,
"grad_norm": 0.4629921317100525,
"learning_rate": 1.955643173977329e-05,
"loss": 0.0479,
"step": 4500
},
{
"epoch": 2.464268112370626,
"grad_norm": 0.38679325580596924,
"learning_rate": 1.9507146377525875e-05,
"loss": 0.0473,
"step": 5000
},
{
"epoch": 2.464268112370626,
"eval_accuracy": 0.9854925804668566,
"eval_f1": 0.46681946036045424,
"eval_loss": 0.045466337352991104,
"eval_precision": 0.7406611570247934,
"eval_recall": 0.3408122908427137,
"eval_runtime": 14.1723,
"eval_samples_per_second": 572.243,
"eval_steps_per_second": 2.258,
"step": 5000
},
{
"epoch": 2.7106949236076883,
"grad_norm": 0.35379377007484436,
"learning_rate": 1.9457861015278464e-05,
"loss": 0.0442,
"step": 5500
},
{
"epoch": 2.957121734844751,
"grad_norm": 0.3872750997543335,
"learning_rate": 1.9408575653031053e-05,
"loss": 0.0436,
"step": 6000
},
{
"epoch": 2.957121734844751,
"eval_accuracy": 0.9860694190512636,
"eval_f1": 0.5016478223394008,
"eval_loss": 0.042579714208841324,
"eval_precision": 0.7523954372623575,
"eval_recall": 0.3762549437176757,
"eval_runtime": 14.177,
"eval_samples_per_second": 572.053,
"eval_steps_per_second": 2.257,
"step": 6000
},
{
"epoch": 3.2035485460818136,
"grad_norm": 0.4312683939933777,
"learning_rate": 1.9359290290783638e-05,
"loss": 0.0399,
"step": 6500
},
{
"epoch": 3.449975357318876,
"grad_norm": 0.46780943870544434,
"learning_rate": 1.9310004928536227e-05,
"loss": 0.0389,
"step": 7000
},
{
"epoch": 3.449975357318876,
"eval_accuracy": 0.9865073628413906,
"eval_f1": 0.5336533751347114,
"eval_loss": 0.04068835824728012,
"eval_precision": 0.7496559317368566,
"eval_recall": 0.4142835412229997,
"eval_runtime": 14.2131,
"eval_samples_per_second": 570.6,
"eval_steps_per_second": 2.251,
"step": 7000
},
{
"epoch": 3.696402168555939,
"grad_norm": 0.3296278417110443,
"learning_rate": 1.9260719566288815e-05,
"loss": 0.0379,
"step": 7500
},
{
"epoch": 3.9428289797930014,
"grad_norm": 0.22207264602184296,
"learning_rate": 1.92114342040414e-05,
"loss": 0.0376,
"step": 8000
},
{
"epoch": 3.9428289797930014,
"eval_accuracy": 0.986619329053106,
"eval_f1": 0.563381584423993,
"eval_loss": 0.03988400474190712,
"eval_precision": 0.7187020648967551,
"eval_recall": 0.463264374809857,
"eval_runtime": 14.2691,
"eval_samples_per_second": 568.36,
"eval_steps_per_second": 2.243,
"step": 8000
},
{
"epoch": 4.189255791030064,
"grad_norm": 0.22761479020118713,
"learning_rate": 1.916214884179399e-05,
"loss": 0.034,
"step": 8500
},
{
"epoch": 4.435682602267127,
"grad_norm": 0.4061233699321747,
"learning_rate": 1.9112863479546578e-05,
"loss": 0.0339,
"step": 9000
},
{
"epoch": 4.435682602267127,
"eval_accuracy": 0.9869708179202631,
"eval_f1": 0.5653222374580359,
"eval_loss": 0.038919780403375626,
"eval_precision": 0.7471566054243219,
"eval_recall": 0.4546699117736538,
"eval_runtime": 14.2717,
"eval_samples_per_second": 568.258,
"eval_steps_per_second": 2.242,
"step": 9000
},
{
"epoch": 4.68210941350419,
"grad_norm": 0.31547975540161133,
"learning_rate": 1.9063578117299164e-05,
"loss": 0.0328,
"step": 9500
},
{
"epoch": 4.928536224741252,
"grad_norm": 0.307452529668808,
"learning_rate": 1.9014292755051752e-05,
"loss": 0.0337,
"step": 10000
},
{
"epoch": 4.928536224741252,
"eval_accuracy": 0.9873194721997818,
"eval_f1": 0.581505215398288,
"eval_loss": 0.038509998470544815,
"eval_precision": 0.7551937796136557,
"eval_recall": 0.472771524186188,
"eval_runtime": 14.3086,
"eval_samples_per_second": 566.79,
"eval_steps_per_second": 2.236,
"step": 10000
},
{
"epoch": 5.1749630359783145,
"grad_norm": 0.3740977942943573,
"learning_rate": 1.8965007392804338e-05,
"loss": 0.0303,
"step": 10500
},
{
"epoch": 5.421389847215377,
"grad_norm": 0.37522149085998535,
"learning_rate": 1.891582060128142e-05,
"loss": 0.0295,
"step": 11000
},
{
"epoch": 5.421389847215377,
"eval_accuracy": 0.9872060886942472,
"eval_f1": 0.6024223739264479,
"eval_loss": 0.03767974302172661,
"eval_precision": 0.7156011300617349,
"eval_recall": 0.5201551566778218,
"eval_runtime": 14.3451,
"eval_samples_per_second": 565.349,
"eval_steps_per_second": 2.231,
"step": 11000
},
{
"epoch": 5.667816658452439,
"grad_norm": 0.3089052736759186,
"learning_rate": 1.886653523903401e-05,
"loss": 0.029,
"step": 11500
},
{
"epoch": 5.914243469689502,
"grad_norm": 0.3211393356323242,
"learning_rate": 1.8817249876786596e-05,
"loss": 0.0305,
"step": 12000
},
{
"epoch": 5.914243469689502,
"eval_accuracy": 0.9873534872514421,
"eval_f1": 0.5992364697956434,
"eval_loss": 0.03828778117895126,
"eval_precision": 0.7317099923220357,
"eval_recall": 0.5073775479160328,
"eval_runtime": 14.3412,
"eval_samples_per_second": 565.503,
"eval_steps_per_second": 2.231,
"step": 12000
},
{
"epoch": 6.160670280926565,
"grad_norm": 0.16942404210567474,
"learning_rate": 1.8767964514539182e-05,
"loss": 0.0275,
"step": 12500
},
{
"epoch": 6.407097092163627,
"grad_norm": 0.3766990303993225,
"learning_rate": 1.8718777723016266e-05,
"loss": 0.0254,
"step": 13000
},
{
"epoch": 6.407097092163627,
"eval_accuracy": 0.9875646640305001,
"eval_f1": 0.6140921885995778,
"eval_loss": 0.03750571236014366,
"eval_precision": 0.7280976220275344,
"eval_recall": 0.5309552783693338,
"eval_runtime": 14.3059,
"eval_samples_per_second": 566.897,
"eval_steps_per_second": 2.237,
"step": 13000
},
{
"epoch": 6.65352390340069,
"grad_norm": 0.5648388266563416,
"learning_rate": 1.8669492360768852e-05,
"loss": 0.0264,
"step": 13500
},
{
"epoch": 6.899950714637752,
"grad_norm": 0.4413442015647888,
"learning_rate": 1.862020699852144e-05,
"loss": 0.0273,
"step": 14000
},
{
"epoch": 6.899950714637752,
"eval_accuracy": 0.9876582054225661,
"eval_f1": 0.6163200563976031,
"eval_loss": 0.03790096566081047,
"eval_precision": 0.7325094260578131,
"eval_recall": 0.5319440219044722,
"eval_runtime": 14.1405,
"eval_samples_per_second": 573.531,
"eval_steps_per_second": 2.263,
"step": 14000
},
{
"epoch": 7.146377525874815,
"grad_norm": 0.36695852875709534,
"learning_rate": 1.857092163627403e-05,
"loss": 0.0234,
"step": 14500
},
{
"epoch": 7.392804337111878,
"grad_norm": 0.36567145586013794,
"learning_rate": 1.852173484475111e-05,
"loss": 0.0228,
"step": 15000
},
{
"epoch": 7.392804337111878,
"eval_accuracy": 0.9877120625876951,
"eval_f1": 0.6165074309978769,
"eval_loss": 0.03786341845989227,
"eval_precision": 0.7366807610993658,
"eval_recall": 0.530042592029206,
"eval_runtime": 14.1212,
"eval_samples_per_second": 574.314,
"eval_steps_per_second": 2.266,
"step": 15000
},
{
"epoch": 7.639231148348941,
"grad_norm": 0.5829640626907349,
"learning_rate": 1.84724494825037e-05,
"loss": 0.0236,
"step": 15500
},
{
"epoch": 7.885657959586003,
"grad_norm": 0.470248281955719,
"learning_rate": 1.8423164120256285e-05,
"loss": 0.0235,
"step": 16000
},
{
"epoch": 7.885657959586003,
"eval_accuracy": 0.9873563218390805,
"eval_f1": 0.629849383842994,
"eval_loss": 0.03791099041700363,
"eval_precision": 0.6929608326485894,
"eval_recall": 0.5772741101308184,
"eval_runtime": 14.1983,
"eval_samples_per_second": 571.194,
"eval_steps_per_second": 2.254,
"step": 16000
},
{
"epoch": 8.132084770823065,
"grad_norm": 0.48524007201194763,
"learning_rate": 1.8373878758008873e-05,
"loss": 0.0217,
"step": 16500
},
{
"epoch": 8.378511582060128,
"grad_norm": 0.3671877384185791,
"learning_rate": 1.8324593395761462e-05,
"loss": 0.0208,
"step": 17000
},
{
"epoch": 8.378511582060128,
"eval_accuracy": 0.9877219836444293,
"eval_f1": 0.6341484015372271,
"eval_loss": 0.037882279604673386,
"eval_precision": 0.7129427404804862,
"eval_recall": 0.5710374201399452,
"eval_runtime": 14.1368,
"eval_samples_per_second": 573.681,
"eval_steps_per_second": 2.264,
"step": 17000
},
{
"epoch": 8.62493839329719,
"grad_norm": 0.2823368012905121,
"learning_rate": 1.8275308033514047e-05,
"loss": 0.0202,
"step": 17500
},
{
"epoch": 8.871365204534253,
"grad_norm": 0.374859094619751,
"learning_rate": 1.8226121241991132e-05,
"loss": 0.0204,
"step": 18000
},
{
"epoch": 8.871365204534253,
"eval_accuracy": 0.987852374675794,
"eval_f1": 0.6380948359582823,
"eval_loss": 0.03811024874448776,
"eval_precision": 0.7172282866635026,
"eval_recall": 0.5746881655004563,
"eval_runtime": 14.2361,
"eval_samples_per_second": 569.679,
"eval_steps_per_second": 2.248,
"step": 18000
}
],
"logging_steps": 500,
"max_steps": 202900,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 1000,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"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": 408291319078542.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}