{ "best_metric": 0.8356164383561644, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-13/checkpoint-4596", "epoch": 6.0, "eval_steps": 500, "global_step": 4596, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.943489909172058, "learning_rate": 9.076816597122249e-05, "loss": 0.4823, "step": 766 }, { "epoch": 1.0, "eval_accuracy": 0.7896281800391389, "eval_f1": 0.8125544899738447, "eval_loss": 0.43095502257347107, "eval_precision": 0.7327044025157232, "eval_recall": 0.9119373776908023, "eval_runtime": 132.0712, "eval_samples_per_second": 7.738, "eval_steps_per_second": 1.938, "step": 766 }, { "epoch": 2.0, "grad_norm": 19.456132888793945, "learning_rate": 7.261453277697798e-05, "loss": 0.4312, "step": 1532 }, { "epoch": 2.0, "eval_accuracy": 0.824853228962818, "eval_f1": 0.8347183748845799, "eval_loss": 0.40763548016548157, "eval_precision": 0.7902097902097902, "eval_recall": 0.8845401174168297, "eval_runtime": 132.1546, "eval_samples_per_second": 7.733, "eval_steps_per_second": 1.937, "step": 1532 }, { "epoch": 3.0, "grad_norm": 3.0639514923095703, "learning_rate": 5.446089958273349e-05, "loss": 0.4141, "step": 2298 }, { "epoch": 3.0, "eval_accuracy": 0.8189823874755382, "eval_f1": 0.821944177093359, "eval_loss": 0.43046870827674866, "eval_precision": 0.8087121212121212, "eval_recall": 0.8356164383561644, "eval_runtime": 130.1314, "eval_samples_per_second": 7.854, "eval_steps_per_second": 1.967, "step": 2298 }, { "epoch": 4.0, "grad_norm": 2.4112496376037598, "learning_rate": 3.630726638848899e-05, "loss": 0.4066, "step": 3064 }, { "epoch": 4.0, "eval_accuracy": 0.8317025440313112, "eval_f1": 0.8374291115311909, "eval_loss": 0.4001712203025818, "eval_precision": 0.8098720292504571, "eval_recall": 0.8669275929549902, "eval_runtime": 132.1937, "eval_samples_per_second": 7.731, "eval_steps_per_second": 1.937, "step": 3064 }, { "epoch": 5.0, "grad_norm": 28.75933265686035, "learning_rate": 1.8153633194244494e-05, "loss": 0.3942, "step": 3830 }, { "epoch": 5.0, "eval_accuracy": 0.824853228962818, "eval_f1": 0.8334883720930233, "eval_loss": 0.4072827398777008, "eval_precision": 0.7943262411347518, "eval_recall": 0.8767123287671232, "eval_runtime": 133.1862, "eval_samples_per_second": 7.673, "eval_steps_per_second": 1.922, "step": 3830 }, { "epoch": 6.0, "grad_norm": 8.708053588867188, "learning_rate": 0.0, "loss": 0.3933, "step": 4596 }, { "epoch": 6.0, "eval_accuracy": 0.8356164383561644, "eval_f1": 0.8444444444444444, "eval_loss": 0.40063977241516113, "eval_precision": 0.8014059753954306, "eval_recall": 0.8923679060665362, "eval_runtime": 131.5339, "eval_samples_per_second": 7.77, "eval_steps_per_second": 1.946, "step": 4596 } ], "logging_steps": 500, "max_steps": 4596, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 1414171183680.0, "train_batch_size": 4, "trial_name": null, "trial_params": { "alpha": 0.7464330126775673, "learning_rate": 0.00010892179916546698, "num_train_epochs": 6, "temperature": 11 } }