| { | |
| "best_metric": 0.8160469667318982, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-9/checkpoint-405", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 486, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.9513042569160461, | |
| "learning_rate": 0.0005954099159667608, | |
| "loss": 0.499, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6829745596868885, | |
| "eval_f1": 0.6067961165048544, | |
| "eval_loss": 0.4608267843723297, | |
| "eval_precision": 0.7987220447284346, | |
| "eval_recall": 0.4892367906066536, | |
| "eval_runtime": 28.3141, | |
| "eval_samples_per_second": 36.095, | |
| "eval_steps_per_second": 1.13, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.7321057319641113, | |
| "learning_rate": 0.0004961749299723006, | |
| "loss": 0.4578, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7827788649706457, | |
| "eval_f1": 0.798913043478261, | |
| "eval_loss": 0.42703160643577576, | |
| "eval_precision": 0.7436762225969646, | |
| "eval_recall": 0.863013698630137, | |
| "eval_runtime": 28.5611, | |
| "eval_samples_per_second": 35.783, | |
| "eval_steps_per_second": 1.12, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 3.0545783042907715, | |
| "learning_rate": 0.00039693994397784046, | |
| "loss": 0.4299, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7954990215264188, | |
| "eval_f1": 0.8168273444347064, | |
| "eval_loss": 0.4317159950733185, | |
| "eval_precision": 0.7396825396825397, | |
| "eval_recall": 0.9119373776908023, | |
| "eval_runtime": 28.0555, | |
| "eval_samples_per_second": 36.428, | |
| "eval_steps_per_second": 1.141, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.1239681243896484, | |
| "learning_rate": 0.0002977049579833804, | |
| "loss": 0.4141, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8052837573385518, | |
| "eval_f1": 0.7995971802618329, | |
| "eval_loss": 0.41590413451194763, | |
| "eval_precision": 0.8236514522821576, | |
| "eval_recall": 0.776908023483366, | |
| "eval_runtime": 28.4853, | |
| "eval_samples_per_second": 35.878, | |
| "eval_steps_per_second": 1.123, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.6590023040771484, | |
| "learning_rate": 0.00019846997198892023, | |
| "loss": 0.4038, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8160469667318982, | |
| "eval_f1": 0.8256029684601114, | |
| "eval_loss": 0.40745633840560913, | |
| "eval_precision": 0.7848324514991182, | |
| "eval_recall": 0.8708414872798435, | |
| "eval_runtime": 28.3469, | |
| "eval_samples_per_second": 36.053, | |
| "eval_steps_per_second": 1.129, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.6547752618789673, | |
| "learning_rate": 9.923498599446012e-05, | |
| "loss": 0.3966, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8111545988258317, | |
| "eval_f1": 0.8259693417493238, | |
| "eval_loss": 0.40955477952957153, | |
| "eval_precision": 0.7658862876254181, | |
| "eval_recall": 0.8962818003913894, | |
| "eval_runtime": 27.9254, | |
| "eval_samples_per_second": 36.598, | |
| "eval_steps_per_second": 1.146, | |
| "step": 486 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 567, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "save_steps": 500, | |
| "total_flos": 1414171183680.0, | |
| "train_batch_size": 38, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.7591558093291033, | |
| "learning_rate": 0.0006946449019612209, | |
| "num_train_epochs": 7, | |
| "per_device_train_batch_size": 38, | |
| "temperature": 16 | |
| } | |
| } | |