tiny-bert-sst2 / run-0 /checkpoint-1581 /trainer_state.json
jason-zhoou's picture
Training in progress, step 500
6925bae verified
raw
history blame
7.43 kB
{
"best_metric": 0.7981651376146789,
"best_model_checkpoint": "tiny-bert-sst2/run-0/checkpoint-1500",
"epoch": 3.0,
"eval_steps": 100,
"global_step": 1581,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18975332068311196,
"grad_norm": 0.7187711000442505,
"learning_rate": 2.4275077059878603e-05,
"loss": 1.2604,
"step": 100
},
{
"epoch": 0.18975332068311196,
"eval_accuracy": 0.6169724770642202,
"eval_loss": 1.181114673614502,
"eval_runtime": 2.4577,
"eval_samples_per_second": 354.806,
"eval_steps_per_second": 2.848,
"step": 100
},
{
"epoch": 0.3795066413662239,
"grad_norm": 1.8982616662979126,
"learning_rate": 2.3789299271608236e-05,
"loss": 1.1808,
"step": 200
},
{
"epoch": 0.3795066413662239,
"eval_accuracy": 0.7121559633027523,
"eval_loss": 1.0743426084518433,
"eval_runtime": 2.4969,
"eval_samples_per_second": 349.235,
"eval_steps_per_second": 2.803,
"step": 200
},
{
"epoch": 0.5692599620493358,
"grad_norm": 2.6504175662994385,
"learning_rate": 2.2812529230666033e-05,
"loss": 1.0583,
"step": 300
},
{
"epoch": 0.5692599620493358,
"eval_accuracy": 0.7591743119266054,
"eval_loss": 0.9464107155799866,
"eval_runtime": 2.4114,
"eval_samples_per_second": 361.611,
"eval_steps_per_second": 2.903,
"step": 300
},
{
"epoch": 0.7590132827324478,
"grad_norm": 2.9992282390594482,
"learning_rate": 2.138601927608547e-05,
"loss": 0.9339,
"step": 400
},
{
"epoch": 0.7590132827324478,
"eval_accuracy": 0.7775229357798165,
"eval_loss": 0.8676859736442566,
"eval_runtime": 2.5023,
"eval_samples_per_second": 348.476,
"eval_steps_per_second": 2.797,
"step": 400
},
{
"epoch": 0.9487666034155597,
"grad_norm": 2.979876756668091,
"learning_rate": 1.9570015801402756e-05,
"loss": 0.8783,
"step": 500
},
{
"epoch": 0.9487666034155597,
"eval_accuracy": 0.786697247706422,
"eval_loss": 0.836247980594635,
"eval_runtime": 2.4279,
"eval_samples_per_second": 359.162,
"eval_steps_per_second": 2.883,
"step": 500
},
{
"epoch": 1.1385199240986716,
"grad_norm": 3.8972060680389404,
"learning_rate": 1.7441214843436652e-05,
"loss": 0.8286,
"step": 600
},
{
"epoch": 1.1385199240986716,
"eval_accuracy": 0.786697247706422,
"eval_loss": 0.8169480562210083,
"eval_runtime": 2.4359,
"eval_samples_per_second": 357.985,
"eval_steps_per_second": 2.874,
"step": 600
},
{
"epoch": 1.3282732447817835,
"grad_norm": 4.094536304473877,
"learning_rate": 1.5089522946380597e-05,
"loss": 0.7808,
"step": 700
},
{
"epoch": 1.3282732447817835,
"eval_accuracy": 0.7878440366972477,
"eval_loss": 0.8050708770751953,
"eval_runtime": 2.4399,
"eval_samples_per_second": 357.397,
"eval_steps_per_second": 2.869,
"step": 700
},
{
"epoch": 1.5180265654648957,
"grad_norm": 6.467775344848633,
"learning_rate": 1.2614260100993157e-05,
"loss": 0.765,
"step": 800
},
{
"epoch": 1.5180265654648957,
"eval_accuracy": 0.7889908256880734,
"eval_loss": 0.7935003042221069,
"eval_runtime": 2.4349,
"eval_samples_per_second": 358.121,
"eval_steps_per_second": 2.875,
"step": 800
},
{
"epoch": 1.7077798861480076,
"grad_norm": 7.3176445960998535,
"learning_rate": 1.0119965121749416e-05,
"loss": 0.742,
"step": 900
},
{
"epoch": 1.7077798861480076,
"eval_accuracy": 0.7901376146788991,
"eval_loss": 0.7913622260093689,
"eval_runtime": 2.505,
"eval_samples_per_second": 348.1,
"eval_steps_per_second": 2.794,
"step": 900
},
{
"epoch": 1.8975332068311195,
"grad_norm": 4.671020030975342,
"learning_rate": 7.711980615220306e-06,
"loss": 0.7379,
"step": 1000
},
{
"epoch": 1.8975332068311195,
"eval_accuracy": 0.7970183486238532,
"eval_loss": 0.7775447964668274,
"eval_runtime": 2.4368,
"eval_samples_per_second": 357.839,
"eval_steps_per_second": 2.873,
"step": 1000
},
{
"epoch": 2.0872865275142316,
"grad_norm": 3.548794984817505,
"learning_rate": 5.492004001563045e-06,
"loss": 0.7169,
"step": 1100
},
{
"epoch": 2.0872865275142316,
"eval_accuracy": 0.7981651376146789,
"eval_loss": 0.7763888239860535,
"eval_runtime": 2.4327,
"eval_samples_per_second": 358.447,
"eval_steps_per_second": 2.877,
"step": 1100
},
{
"epoch": 2.2770398481973433,
"grad_norm": 2.657698392868042,
"learning_rate": 3.5537924846990686e-06,
"loss": 0.7053,
"step": 1200
},
{
"epoch": 2.2770398481973433,
"eval_accuracy": 0.8004587155963303,
"eval_loss": 0.7718890905380249,
"eval_runtime": 2.4731,
"eval_samples_per_second": 352.601,
"eval_steps_per_second": 2.831,
"step": 1200
},
{
"epoch": 2.4667931688804554,
"grad_norm": 8.931977272033691,
"learning_rate": 1.9792033649762944e-06,
"loss": 0.7001,
"step": 1300
},
{
"epoch": 2.4667931688804554,
"eval_accuracy": 0.7958715596330275,
"eval_loss": 0.7761191129684448,
"eval_runtime": 2.4453,
"eval_samples_per_second": 356.608,
"eval_steps_per_second": 2.863,
"step": 1300
},
{
"epoch": 2.656546489563567,
"grad_norm": 5.575241565704346,
"learning_rate": 8.347369254527042e-07,
"loss": 0.6988,
"step": 1400
},
{
"epoch": 2.656546489563567,
"eval_accuracy": 0.7981651376146789,
"eval_loss": 0.7722569108009338,
"eval_runtime": 2.492,
"eval_samples_per_second": 349.916,
"eval_steps_per_second": 2.809,
"step": 1400
},
{
"epoch": 2.846299810246679,
"grad_norm": 6.262284278869629,
"learning_rate": 1.6872789753562043e-07,
"loss": 0.7135,
"step": 1500
},
{
"epoch": 2.846299810246679,
"eval_accuracy": 0.7981651376146789,
"eval_loss": 0.7717686891555786,
"eval_runtime": 2.443,
"eval_samples_per_second": 356.945,
"eval_steps_per_second": 2.865,
"step": 1500
}
],
"logging_steps": 100,
"max_steps": 1581,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 23032282372320.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": {
"alpha": 0.8670086094179865,
"learning_rate": 2.432723709409012e-05,
"num_train_epochs": 3,
"temperature": 13,
"warmup_ratio": 0.03434495454544933
}
}