| { | |
| "best_global_step": 3, | |
| "best_metric": 0.7130281925201416, | |
| "best_model_checkpoint": "tiny_bert_km_20_v2_wnli/checkpoint-3", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.9930610060691833, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.7045, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.39436619718309857, | |
| "eval_loss": 0.7130281925201416, | |
| "eval_runtime": 0.0425, | |
| "eval_samples_per_second": 1672.107, | |
| "eval_steps_per_second": 23.551, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.7681521773338318, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6946, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.4225352112676056, | |
| "eval_loss": 0.7229864597320557, | |
| "eval_runtime": 0.038, | |
| "eval_samples_per_second": 1867.42, | |
| "eval_steps_per_second": 26.302, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.7131951451301575, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6906, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.2535211267605634, | |
| "eval_loss": 0.7394914627075195, | |
| "eval_runtime": 0.0354, | |
| "eval_samples_per_second": 2006.29, | |
| "eval_steps_per_second": 28.258, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.7863022089004517, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.6921, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.2112676056338028, | |
| "eval_loss": 0.746753990650177, | |
| "eval_runtime": 0.03, | |
| "eval_samples_per_second": 2364.452, | |
| "eval_steps_per_second": 33.302, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.774154007434845, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.6892, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.2535211267605634, | |
| "eval_loss": 0.7496422529220581, | |
| "eval_runtime": 0.0409, | |
| "eval_samples_per_second": 1737.755, | |
| "eval_steps_per_second": 24.475, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.7761738896369934, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.6906, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.2112676056338028, | |
| "eval_loss": 0.7533835768699646, | |
| "eval_runtime": 0.0389, | |
| "eval_samples_per_second": 1826.731, | |
| "eval_steps_per_second": 25.729, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 18, | |
| "total_flos": 99911832606720.0, | |
| "train_loss": 0.6935964028040568, | |
| "train_runtime": 6.3381, | |
| "train_samples_per_second": 5009.357, | |
| "train_steps_per_second": 23.666 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 150, | |
| "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": 99911832606720.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |