| { | |
| "best_metric": 0.5108910891089109, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-297", | |
| "epoch": 9.0, | |
| "eval_steps": 500, | |
| "global_step": 2673, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.3744499087333679, | |
| "learning_rate": 1.7212091585793122e-05, | |
| "loss": 0.1576, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5108910891089109, | |
| "eval_f1": 0.127208480565371, | |
| "eval_loss": 0.13107798993587494, | |
| "eval_mcc": 0.04175421326407947, | |
| "eval_precision": 0.5806451612903226, | |
| "eval_recall": 0.07142857142857142, | |
| "eval_runtime": 0.9746, | |
| "eval_samples_per_second": 518.155, | |
| "eval_steps_per_second": 16.417, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.2569155693054199, | |
| "learning_rate": 1.5060580137568982e-05, | |
| "loss": 0.1312, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5089108910891089, | |
| "eval_f1": 0.1205673758865248, | |
| "eval_loss": 0.12648388743400574, | |
| "eval_mcc": 0.03400602754322123, | |
| "eval_precision": 0.5666666666666667, | |
| "eval_recall": 0.06746031746031746, | |
| "eval_runtime": 0.9581, | |
| "eval_samples_per_second": 527.09, | |
| "eval_steps_per_second": 16.7, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.3201127350330353, | |
| "learning_rate": 1.2909068689344842e-05, | |
| "loss": 0.129, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5089108910891089, | |
| "eval_f1": 0.1205673758865248, | |
| "eval_loss": 0.12576302886009216, | |
| "eval_mcc": 0.03400602754322123, | |
| "eval_precision": 0.5666666666666667, | |
| "eval_recall": 0.06746031746031746, | |
| "eval_runtime": 0.9394, | |
| "eval_samples_per_second": 537.563, | |
| "eval_steps_per_second": 17.032, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.31637096405029297, | |
| "learning_rate": 1.0757557241120703e-05, | |
| "loss": 0.1288, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5089108910891089, | |
| "eval_f1": 0.1205673758865248, | |
| "eval_loss": 0.12486182153224945, | |
| "eval_mcc": 0.03400602754322123, | |
| "eval_precision": 0.5666666666666667, | |
| "eval_recall": 0.06746031746031746, | |
| "eval_runtime": 0.9225, | |
| "eval_samples_per_second": 547.443, | |
| "eval_steps_per_second": 17.345, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.29955437779426575, | |
| "learning_rate": 8.606045792896561e-06, | |
| "loss": 0.1283, | |
| "step": 1485 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5089108910891089, | |
| "eval_f1": 0.1205673758865248, | |
| "eval_loss": 0.12472035735845566, | |
| "eval_mcc": 0.03400602754322123, | |
| "eval_precision": 0.5666666666666667, | |
| "eval_recall": 0.06746031746031746, | |
| "eval_runtime": 0.9304, | |
| "eval_samples_per_second": 542.772, | |
| "eval_steps_per_second": 17.197, | |
| "step": 1485 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.1616370677947998, | |
| "learning_rate": 6.454534344672421e-06, | |
| "loss": 0.1281, | |
| "step": 1782 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5069306930693069, | |
| "eval_f1": 0.11387900355871884, | |
| "eval_loss": 0.1247602105140686, | |
| "eval_mcc": 0.026022816184950434, | |
| "eval_precision": 0.5517241379310345, | |
| "eval_recall": 0.06349206349206349, | |
| "eval_runtime": 0.9404, | |
| "eval_samples_per_second": 536.994, | |
| "eval_steps_per_second": 17.014, | |
| "step": 1782 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.278909295797348, | |
| "learning_rate": 4.3030228964482805e-06, | |
| "loss": 0.1278, | |
| "step": 2079 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5069306930693069, | |
| "eval_f1": 0.11387900355871884, | |
| "eval_loss": 0.1246904581785202, | |
| "eval_mcc": 0.026022816184950434, | |
| "eval_precision": 0.5517241379310345, | |
| "eval_recall": 0.06349206349206349, | |
| "eval_runtime": 0.93, | |
| "eval_samples_per_second": 542.997, | |
| "eval_steps_per_second": 17.204, | |
| "step": 2079 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.24578748643398285, | |
| "learning_rate": 2.1515114482241403e-06, | |
| "loss": 0.1275, | |
| "step": 2376 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5069306930693069, | |
| "eval_f1": 0.11387900355871884, | |
| "eval_loss": 0.12453501671552658, | |
| "eval_mcc": 0.026022816184950434, | |
| "eval_precision": 0.5517241379310345, | |
| "eval_recall": 0.06349206349206349, | |
| "eval_runtime": 0.9337, | |
| "eval_samples_per_second": 540.841, | |
| "eval_steps_per_second": 17.136, | |
| "step": 2376 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 0.35805246233940125, | |
| "learning_rate": 0.0, | |
| "loss": 0.1277, | |
| "step": 2673 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5069306930693069, | |
| "eval_f1": 0.11387900355871884, | |
| "eval_loss": 0.12456101179122925, | |
| "eval_mcc": 0.026022816184950434, | |
| "eval_precision": 0.5517241379310345, | |
| "eval_recall": 0.06349206349206349, | |
| "eval_runtime": 0.9241, | |
| "eval_samples_per_second": 546.48, | |
| "eval_steps_per_second": 17.314, | |
| "step": 2673 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2673, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "save_steps": 500, | |
| "total_flos": 6576311393820.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.14400624333141754, | |
| "learning_rate": 1.9363603034017264e-05, | |
| "num_train_epochs": 9, | |
| "temperature": 24 | |
| } | |
| } | |