| { | |
| "best_metric": 0.8170254403131115, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-480", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 480, | |
| "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 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.489380955696106, | |
| "learning_rate": 0.0, | |
| "loss": 0.3912, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8170254403131115, | |
| "eval_f1": 0.8270120259019426, | |
| "eval_loss": 0.3846189081668854, | |
| "eval_precision": 0.7842105263157895, | |
| "eval_recall": 0.8747553816046967, | |
| "eval_runtime": 25.7274, | |
| "eval_samples_per_second": 39.724, | |
| "eval_steps_per_second": 1.244, | |
| "step": 480 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 480, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 1178475986400.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.679174768290245, | |
| "learning_rate": 0.00015229430107610762, | |
| "num_train_epochs": 5, | |
| "temperature": 27 | |
| } | |
| } | |