| { | |
| "best_global_step": 10, | |
| "best_metric": 0.7026032209396362, | |
| "best_model_checkpoint": "distilbert_rand_5_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": 1.8740273714065552, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.7243, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.48736462093862815, | |
| "eval_loss": 0.7026032209396362, | |
| "eval_runtime": 0.1276, | |
| "eval_samples_per_second": 2170.012, | |
| "eval_steps_per_second": 15.668, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.8743432760238647, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6823, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5234657039711191, | |
| "eval_loss": 0.7101830244064331, | |
| "eval_runtime": 0.1345, | |
| "eval_samples_per_second": 2059.676, | |
| "eval_steps_per_second": 14.871, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.9327962398529053, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6402, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5667870036101083, | |
| "eval_loss": 0.7390427589416504, | |
| "eval_runtime": 0.1358, | |
| "eval_samples_per_second": 2039.025, | |
| "eval_steps_per_second": 14.722, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.3827669620513916, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.5556, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5306859205776173, | |
| "eval_loss": 0.8524482846260071, | |
| "eval_runtime": 0.1451, | |
| "eval_samples_per_second": 1909.466, | |
| "eval_steps_per_second": 13.787, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 4.2500104904174805, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.439, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5234657039711191, | |
| "eval_loss": 1.0051864385604858, | |
| "eval_runtime": 0.1749, | |
| "eval_samples_per_second": 1583.554, | |
| "eval_steps_per_second": 11.434, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 4.589412689208984, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.2973, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5234657039711191, | |
| "eval_loss": 1.2635422945022583, | |
| "eval_runtime": 0.1266, | |
| "eval_samples_per_second": 2187.437, | |
| "eval_steps_per_second": 15.794, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 60, | |
| "total_flos": 989531467960320.0, | |
| "train_loss": 0.5564495722452799, | |
| "train_runtime": 22.5366, | |
| "train_samples_per_second": 5524.336, | |
| "train_steps_per_second": 22.186 | |
| } | |
| ], | |
| "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": 989531467960320.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |