{ "best_metric": 0.8003913894324853, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-384", "epoch": 4.0, "eval_steps": 500, "global_step": 384, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.6740443706512451, "learning_rate": 0.0001218354408608861, "loss": 0.4816, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.7514677103718199, "eval_f1": 0.7519531250000001, "eval_loss": 0.41538161039352417, "eval_precision": 0.7504873294346979, "eval_recall": 0.7534246575342466, "eval_runtime": 26.5175, "eval_samples_per_second": 38.541, "eval_steps_per_second": 1.207, "step": 96 }, { "epoch": 2.0, "grad_norm": 1.7866544723510742, "learning_rate": 9.137658064566457e-05, "loss": 0.4182, "step": 192 }, { "epoch": 2.0, "eval_accuracy": 0.7798434442270059, "eval_f1": 0.7817652764306499, "eval_loss": 0.3980446457862854, "eval_precision": 0.775, "eval_recall": 0.7886497064579256, "eval_runtime": 25.5088, "eval_samples_per_second": 40.065, "eval_steps_per_second": 1.254, "step": 192 }, { "epoch": 3.0, "grad_norm": 2.1238555908203125, "learning_rate": 6.091772043044305e-05, "loss": 0.4044, "step": 288 }, { "epoch": 3.0, "eval_accuracy": 0.7984344422700587, "eval_f1": 0.8205574912891985, "eval_loss": 0.39847832918167114, "eval_precision": 0.7394034536891679, "eval_recall": 0.9217221135029354, "eval_runtime": 25.6502, "eval_samples_per_second": 39.844, "eval_steps_per_second": 1.248, "step": 288 }, { "epoch": 4.0, "grad_norm": 2.6613142490386963, "learning_rate": 3.0458860215221525e-05, "loss": 0.3971, "step": 384 }, { "epoch": 4.0, "eval_accuracy": 0.8003913894324853, "eval_f1": 0.799212598425197, "eval_loss": 0.38756656646728516, "eval_precision": 0.803960396039604, "eval_recall": 0.7945205479452054, "eval_runtime": 26.1487, "eval_samples_per_second": 39.084, "eval_steps_per_second": 1.224, "step": 384 } ], "logging_steps": 500, "max_steps": 480, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 500, "total_flos": 942780789120.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.679174768290245, "learning_rate": 0.00015229430107610762, "num_train_epochs": 5, "temperature": 27 } }