Nepali_sentiment_bert / trainer_state.json
bhattaraisuman's picture
Upload folder using huggingface_hub
438f962 verified
{
"best_metric": 0.7317561030375677,
"best_model_checkpoint": "./results\\checkpoint-1690",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 1690,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14792899408284024,
"grad_norm": 3.1896114349365234,
"learning_rate": 5.562130177514793e-06,
"loss": 1.0881,
"step": 50
},
{
"epoch": 0.2958579881656805,
"grad_norm": 3.5786380767822266,
"learning_rate": 1.1479289940828404e-05,
"loss": 1.0702,
"step": 100
},
{
"epoch": 0.4437869822485207,
"grad_norm": 9.252333641052246,
"learning_rate": 1.7396449704142012e-05,
"loss": 0.9906,
"step": 150
},
{
"epoch": 0.591715976331361,
"grad_norm": 10.281839370727539,
"learning_rate": 1.963182117028271e-05,
"loss": 0.9185,
"step": 200
},
{
"epoch": 0.7396449704142012,
"grad_norm": 10.87905502319336,
"learning_rate": 1.8974358974358975e-05,
"loss": 0.8892,
"step": 250
},
{
"epoch": 0.8875739644970414,
"grad_norm": 7.557311058044434,
"learning_rate": 1.8316896778435242e-05,
"loss": 0.8507,
"step": 300
},
{
"epoch": 1.0,
"eval_accuracy": 0.6605351170568562,
"eval_loss": 0.7316408753395081,
"eval_macro_f1": 0.6313443909417599,
"eval_precision": 0.6433290821476324,
"eval_recall": 0.6496354509341522,
"eval_runtime": 1.4514,
"eval_samples_per_second": 412.02,
"eval_steps_per_second": 26.182,
"eval_weighted_f1": 0.6689507482328343,
"step": 338
},
{
"epoch": 1.0355029585798816,
"grad_norm": 11.54389762878418,
"learning_rate": 1.765943458251151e-05,
"loss": 0.829,
"step": 350
},
{
"epoch": 1.183431952662722,
"grad_norm": 9.747392654418945,
"learning_rate": 1.7001972386587773e-05,
"loss": 0.7475,
"step": 400
},
{
"epoch": 1.331360946745562,
"grad_norm": 8.204669952392578,
"learning_rate": 1.6344510190664036e-05,
"loss": 0.7326,
"step": 450
},
{
"epoch": 1.4792899408284024,
"grad_norm": 5.944102764129639,
"learning_rate": 1.5687047994740304e-05,
"loss": 0.7375,
"step": 500
},
{
"epoch": 1.6272189349112427,
"grad_norm": 9.364075660705566,
"learning_rate": 1.5029585798816569e-05,
"loss": 0.7505,
"step": 550
},
{
"epoch": 1.7751479289940828,
"grad_norm": 7.409163951873779,
"learning_rate": 1.4372123602892836e-05,
"loss": 0.6668,
"step": 600
},
{
"epoch": 1.9230769230769231,
"grad_norm": 12.596030235290527,
"learning_rate": 1.3714661406969102e-05,
"loss": 0.67,
"step": 650
},
{
"epoch": 2.0,
"eval_accuracy": 0.7408026755852842,
"eval_loss": 0.6650733351707458,
"eval_macro_f1": 0.7028637657616557,
"eval_precision": 0.7033778322629879,
"eval_recall": 0.7057446044459033,
"eval_runtime": 1.3215,
"eval_samples_per_second": 452.526,
"eval_steps_per_second": 28.756,
"eval_weighted_f1": 0.7397522777158159,
"step": 676
},
{
"epoch": 2.0710059171597632,
"grad_norm": 8.544220924377441,
"learning_rate": 1.3057199211045365e-05,
"loss": 0.6231,
"step": 700
},
{
"epoch": 2.2189349112426036,
"grad_norm": 20.543594360351562,
"learning_rate": 1.239973701512163e-05,
"loss": 0.6099,
"step": 750
},
{
"epoch": 2.366863905325444,
"grad_norm": 6.354947566986084,
"learning_rate": 1.1742274819197896e-05,
"loss": 0.5998,
"step": 800
},
{
"epoch": 2.5147928994082838,
"grad_norm": 11.728825569152832,
"learning_rate": 1.1084812623274163e-05,
"loss": 0.5539,
"step": 850
},
{
"epoch": 2.662721893491124,
"grad_norm": 6.896145343780518,
"learning_rate": 1.0427350427350429e-05,
"loss": 0.5705,
"step": 900
},
{
"epoch": 2.8106508875739644,
"grad_norm": 13.93707275390625,
"learning_rate": 9.769888231426694e-06,
"loss": 0.6028,
"step": 950
},
{
"epoch": 2.9585798816568047,
"grad_norm": 10.1209135055542,
"learning_rate": 9.11242603550296e-06,
"loss": 0.5902,
"step": 1000
},
{
"epoch": 3.0,
"eval_accuracy": 0.7357859531772575,
"eval_loss": 0.668661892414093,
"eval_macro_f1": 0.7024505567287104,
"eval_precision": 0.7182104259645156,
"eval_recall": 0.6973090479583987,
"eval_runtime": 1.2508,
"eval_samples_per_second": 478.109,
"eval_steps_per_second": 30.382,
"eval_weighted_f1": 0.7352357361433975,
"step": 1014
},
{
"epoch": 3.106508875739645,
"grad_norm": 15.182376861572266,
"learning_rate": 8.454963839579225e-06,
"loss": 0.5552,
"step": 1050
},
{
"epoch": 3.2544378698224854,
"grad_norm": 10.012931823730469,
"learning_rate": 7.79750164365549e-06,
"loss": 0.4979,
"step": 1100
},
{
"epoch": 3.4023668639053253,
"grad_norm": 15.364001274108887,
"learning_rate": 7.140039447731756e-06,
"loss": 0.4272,
"step": 1150
},
{
"epoch": 3.5502958579881656,
"grad_norm": 11.208831787109375,
"learning_rate": 6.482577251808022e-06,
"loss": 0.4183,
"step": 1200
},
{
"epoch": 3.698224852071006,
"grad_norm": 12.957846641540527,
"learning_rate": 5.825115055884288e-06,
"loss": 0.4733,
"step": 1250
},
{
"epoch": 3.8461538461538463,
"grad_norm": 9.980995178222656,
"learning_rate": 5.167652859960552e-06,
"loss": 0.4714,
"step": 1300
},
{
"epoch": 3.994082840236686,
"grad_norm": 8.93154525756836,
"learning_rate": 4.5101906640368185e-06,
"loss": 0.4399,
"step": 1350
},
{
"epoch": 4.0,
"eval_accuracy": 0.754180602006689,
"eval_loss": 0.6718000173568726,
"eval_macro_f1": 0.7221273105833076,
"eval_precision": 0.7226927352058,
"eval_recall": 0.7217587295509373,
"eval_runtime": 1.243,
"eval_samples_per_second": 481.084,
"eval_steps_per_second": 30.571,
"eval_weighted_f1": 0.7534201331590002,
"step": 1352
},
{
"epoch": 4.1420118343195265,
"grad_norm": 15.335867881774902,
"learning_rate": 3.852728468113084e-06,
"loss": 0.3822,
"step": 1400
},
{
"epoch": 4.289940828402367,
"grad_norm": 12.809405326843262,
"learning_rate": 3.1952662721893497e-06,
"loss": 0.3858,
"step": 1450
},
{
"epoch": 4.437869822485207,
"grad_norm": 9.913019180297852,
"learning_rate": 2.5378040762656148e-06,
"loss": 0.3597,
"step": 1500
},
{
"epoch": 4.585798816568047,
"grad_norm": 20.306541442871094,
"learning_rate": 1.8803418803418804e-06,
"loss": 0.3578,
"step": 1550
},
{
"epoch": 4.733727810650888,
"grad_norm": 14.110806465148926,
"learning_rate": 1.222879684418146e-06,
"loss": 0.4013,
"step": 1600
},
{
"epoch": 4.881656804733728,
"grad_norm": 10.495901107788086,
"learning_rate": 5.654174884944117e-07,
"loss": 0.3811,
"step": 1650
},
{
"epoch": 5.0,
"eval_accuracy": 0.7642140468227425,
"eval_loss": 0.7175509333610535,
"eval_macro_f1": 0.7317561030375677,
"eval_precision": 0.7390880016128589,
"eval_recall": 0.7268900710459153,
"eval_runtime": 2.4767,
"eval_samples_per_second": 241.453,
"eval_steps_per_second": 15.343,
"eval_weighted_f1": 0.762570091666699,
"step": 1690
}
],
"logging_steps": 50,
"max_steps": 1690,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"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": 1773713327258880.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}