| { | |
| "best_global_step": 10, | |
| "best_metric": 0.6921324729919434, | |
| "best_model_checkpoint": "bert_base_rand_50_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": 0.5368039608001709, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6947, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5234657039711191, | |
| "eval_loss": 0.6921324729919434, | |
| "eval_runtime": 0.1956, | |
| "eval_samples_per_second": 1416.49, | |
| "eval_steps_per_second": 10.227, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.2625293731689453, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.678, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5126353790613718, | |
| "eval_loss": 0.7364938259124756, | |
| "eval_runtime": 0.1903, | |
| "eval_samples_per_second": 1455.762, | |
| "eval_steps_per_second": 10.511, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.143974542617798, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6121, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5054151624548736, | |
| "eval_loss": 0.8218866586685181, | |
| "eval_runtime": 0.2324, | |
| "eval_samples_per_second": 1192.039, | |
| "eval_steps_per_second": 8.607, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 3.1051809787750244, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4991, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.48375451263537905, | |
| "eval_loss": 1.0314902067184448, | |
| "eval_runtime": 0.1962, | |
| "eval_samples_per_second": 1411.577, | |
| "eval_steps_per_second": 10.192, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 3.6076419353485107, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.35, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.4693140794223827, | |
| "eval_loss": 1.1965441703796387, | |
| "eval_runtime": 0.1924, | |
| "eval_samples_per_second": 1439.97, | |
| "eval_steps_per_second": 10.397, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 8.849884986877441, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.2498, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.48736462093862815, | |
| "eval_loss": 1.7301607131958008, | |
| "eval_runtime": 0.1936, | |
| "eval_samples_per_second": 1430.557, | |
| "eval_steps_per_second": 10.329, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 60, | |
| "total_flos": 1965439583539200.0, | |
| "train_loss": 0.5139366706212362, | |
| "train_runtime": 37.1849, | |
| "train_samples_per_second": 3348.133, | |
| "train_steps_per_second": 13.446 | |
| } | |
| ], | |
| "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": 1965439583539200.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |