| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 2544, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.354, | |
| "eval_samples_per_second": 579.009, | |
| "eval_steps_per_second": 12.141, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 1.5723270440251573, | |
| "grad_norm": 143768.90625, | |
| "learning_rate": 1.606918238993711e-05, | |
| "loss": 0.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.464, | |
| "eval_samples_per_second": 567.352, | |
| "eval_steps_per_second": 11.896, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.2458, | |
| "eval_samples_per_second": 590.953, | |
| "eval_steps_per_second": 12.391, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 3.1446540880503147, | |
| "grad_norm": 371973.03125, | |
| "learning_rate": 1.2138364779874214e-05, | |
| "loss": 0.0, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 7.0035, | |
| "eval_samples_per_second": 442.637, | |
| "eval_steps_per_second": 9.281, | |
| "step": 1272 | |
| }, | |
| { | |
| "epoch": 4.716981132075472, | |
| "grad_norm": 805448.3125, | |
| "learning_rate": 8.207547169811321e-06, | |
| "loss": 0.0, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.3907, | |
| "eval_samples_per_second": 575.063, | |
| "eval_steps_per_second": 12.058, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.6586, | |
| "eval_samples_per_second": 547.834, | |
| "eval_steps_per_second": 11.487, | |
| "step": 1908 | |
| }, | |
| { | |
| "epoch": 6.289308176100629, | |
| "grad_norm": 1256073.75, | |
| "learning_rate": 4.276729559748428e-06, | |
| "loss": 0.0, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.0064516129032258064, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.3686, | |
| "eval_samples_per_second": 577.428, | |
| "eval_steps_per_second": 12.107, | |
| "step": 2226 | |
| }, | |
| { | |
| "epoch": 7.861635220125786, | |
| "grad_norm": 1489450.375, | |
| "learning_rate": 3.459119496855346e-07, | |
| "loss": 0.0, | |
| "step": 2500 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2544, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 8, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 651155886807636.0, | |
| "train_batch_size": 48, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.41600283894248313, | |
| "num_train_epochs": 8, | |
| "temperature": 20 | |
| } | |
| } | |