| { | |
| "best_global_step": 10, | |
| "best_metric": 0.6871192455291748, | |
| "best_model_checkpoint": "tiny_bert_km_10_v1_rte/checkpoint-10", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.531049370765686, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.7014, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5306859205776173, | |
| "eval_loss": 0.6871192455291748, | |
| "eval_runtime": 0.1032, | |
| "eval_samples_per_second": 2684.035, | |
| "eval_steps_per_second": 19.379, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.696516752243042, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6871, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.48375451263537905, | |
| "eval_loss": 0.6926754117012024, | |
| "eval_runtime": 0.0913, | |
| "eval_samples_per_second": 3034.881, | |
| "eval_steps_per_second": 21.912, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.6348766684532166, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6715, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5487364620938628, | |
| "eval_loss": 0.687958300113678, | |
| "eval_runtime": 0.1003, | |
| "eval_samples_per_second": 2761.444, | |
| "eval_steps_per_second": 19.938, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.6822134256362915, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.654, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5306859205776173, | |
| "eval_loss": 0.6973008513450623, | |
| "eval_runtime": 0.104, | |
| "eval_samples_per_second": 2664.241, | |
| "eval_steps_per_second": 19.236, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.0210248231887817, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.6228, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5487364620938628, | |
| "eval_loss": 0.7094991207122803, | |
| "eval_runtime": 0.0968, | |
| "eval_samples_per_second": 2862.28, | |
| "eval_steps_per_second": 20.666, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.0849286317825317, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.5753, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5415162454873647, | |
| "eval_loss": 0.7562154531478882, | |
| "eval_runtime": 0.1017, | |
| "eval_samples_per_second": 2724.475, | |
| "eval_steps_per_second": 19.671, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 60, | |
| "total_flos": 391780256993280.0, | |
| "train_loss": 0.6520156860351562, | |
| "train_runtime": 12.9147, | |
| "train_samples_per_second": 9640.154, | |
| "train_steps_per_second": 38.715 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 500, | |
| "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": 391780256993280.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |