tiny_bert_km_5_v1_qnli / trainer_state.json
Hartunka's picture
End of training
f74a915 verified
{
"best_global_step": 1230,
"best_metric": 0.5834688544273376,
"best_model_checkpoint": "tiny_bert_km_5_v1_qnli/checkpoint-1230",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 3280,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.540867567062378,
"learning_rate": 4.9e-05,
"loss": 0.6651,
"step": 410
},
{
"epoch": 1.0,
"eval_accuracy": 0.61870766977851,
"eval_loss": 0.6433318853378296,
"eval_runtime": 1.5735,
"eval_samples_per_second": 3471.792,
"eval_steps_per_second": 13.981,
"step": 410
},
{
"epoch": 2.0,
"grad_norm": 1.6758782863616943,
"learning_rate": 4.8e-05,
"loss": 0.63,
"step": 820
},
{
"epoch": 2.0,
"eval_accuracy": 0.6426871682225883,
"eval_loss": 0.6245182156562805,
"eval_runtime": 1.5486,
"eval_samples_per_second": 3527.65,
"eval_steps_per_second": 14.206,
"step": 820
},
{
"epoch": 3.0,
"grad_norm": 3.1263701915740967,
"learning_rate": 4.7e-05,
"loss": 0.5711,
"step": 1230
},
{
"epoch": 3.0,
"eval_accuracy": 0.6994325462200256,
"eval_loss": 0.5834688544273376,
"eval_runtime": 1.5561,
"eval_samples_per_second": 3510.739,
"eval_steps_per_second": 14.138,
"step": 1230
},
{
"epoch": 4.0,
"grad_norm": 5.254637241363525,
"learning_rate": 4.600000000000001e-05,
"loss": 0.4752,
"step": 1640
},
{
"epoch": 4.0,
"eval_accuracy": 0.7082189273293062,
"eval_loss": 0.5910441279411316,
"eval_runtime": 1.5491,
"eval_samples_per_second": 3526.58,
"eval_steps_per_second": 14.202,
"step": 1640
},
{
"epoch": 5.0,
"grad_norm": 5.907124042510986,
"learning_rate": 4.5e-05,
"loss": 0.3883,
"step": 2050
},
{
"epoch": 5.0,
"eval_accuracy": 0.7129782170968333,
"eval_loss": 0.6258730888366699,
"eval_runtime": 1.5681,
"eval_samples_per_second": 3483.82,
"eval_steps_per_second": 14.03,
"step": 2050
},
{
"epoch": 6.0,
"grad_norm": 6.061448574066162,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.3147,
"step": 2460
},
{
"epoch": 6.0,
"eval_accuracy": 0.7067545304777595,
"eval_loss": 0.688542902469635,
"eval_runtime": 1.554,
"eval_samples_per_second": 3515.533,
"eval_steps_per_second": 14.157,
"step": 2460
},
{
"epoch": 7.0,
"grad_norm": 7.78029727935791,
"learning_rate": 4.3e-05,
"loss": 0.2538,
"step": 2870
},
{
"epoch": 7.0,
"eval_accuracy": 0.6972359509427055,
"eval_loss": 0.8067191243171692,
"eval_runtime": 1.5468,
"eval_samples_per_second": 3531.879,
"eval_steps_per_second": 14.223,
"step": 2870
},
{
"epoch": 8.0,
"grad_norm": 4.341258525848389,
"learning_rate": 4.2e-05,
"loss": 0.2075,
"step": 3280
},
{
"epoch": 8.0,
"eval_accuracy": 0.6996155958264689,
"eval_loss": 0.8747366070747375,
"eval_runtime": 1.5509,
"eval_samples_per_second": 3522.396,
"eval_steps_per_second": 14.185,
"step": 3280
},
{
"epoch": 8.0,
"step": 3280,
"total_flos": 2.197388993748173e+16,
"train_loss": 0.43822247574969037,
"train_runtime": 458.6842,
"train_samples_per_second": 11417.769,
"train_steps_per_second": 44.693
}
],
"logging_steps": 1,
"max_steps": 20500,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 5
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2.197388993748173e+16,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}