Files
jailbreak-attacker-l1/checkpoint-50/trainer_state.json
ModelHub XC 371929f977 初始化项目,由ModelHub XC社区提供模型
Model: arnav-yadav/jailbreak-attacker-l1
Source: Original Platform
2026-05-06 12:32:44 +08:00

170 lines
5.5 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0416666666666667,
"eval_steps": 500,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completion_length": 100.0,
"completions/clipped_ratio": 1.0,
"completions/max_length": 100.0,
"completions/max_terminated_length": 0.0,
"completions/mean_length": 100.0,
"completions/mean_terminated_length": 0.0,
"completions/min_length": 100.0,
"completions/min_terminated_length": 0.0,
"epoch": 0.20833333333333334,
"frac_reward_zero_std": 0.275,
"grad_norm": 0.252999871969223,
"kl": 4.623506138159428e-05,
"learning_rate": 3e-05,
"loss": 7.562339305877686e-08,
"num_tokens": 30976.0,
"reward": -1.63874990940094,
"reward_std": 0.6745969772338867,
"rewards/reward_fn/mean": -1.63874990940094,
"rewards/reward_fn/std": 0.8239436686038971,
"step": 10
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completion_length": 100.0,
"completions/clipped_ratio": 1.0,
"completions/max_length": 100.0,
"completions/max_terminated_length": 0.0,
"completions/mean_length": 100.0,
"completions/mean_terminated_length": 0.0,
"completions/min_length": 100.0,
"completions/min_terminated_length": 0.0,
"epoch": 0.4166666666666667,
"frac_reward_zero_std": 0.175,
"grad_norm": 0.2783929705619812,
"kl": 0.001219680597569095,
"learning_rate": 4.8449612403100775e-05,
"loss": 1.2345612049102782e-06,
"num_tokens": 62268.0,
"reward": -1.4524999380111694,
"reward_std": 0.7632413059473038,
"rewards/reward_fn/mean": -1.4524999260902405,
"rewards/reward_fn/std": 0.8776885092258453,
"step": 20
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completion_length": 100.0,
"completions/clipped_ratio": 1.0,
"completions/max_length": 100.0,
"completions/max_terminated_length": 0.0,
"completions/mean_length": 100.0,
"completions/mean_terminated_length": 0.0,
"completions/min_length": 100.0,
"completions/min_terminated_length": 0.0,
"epoch": 0.625,
"frac_reward_zero_std": 0.075,
"grad_norm": 0.310812383890152,
"kl": 0.012675344076706096,
"learning_rate": 4.4573643410852715e-05,
"loss": 1.2670829892158509e-05,
"num_tokens": 93408.0,
"reward": -0.9787499606609344,
"reward_std": 0.8382474899291992,
"rewards/reward_fn/mean": -0.9787499666213989,
"rewards/reward_fn/std": 0.874516224861145,
"step": 30
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completion_length": 100.0,
"completions/clipped_ratio": 1.0,
"completions/max_length": 100.0,
"completions/max_terminated_length": 0.0,
"completions/mean_length": 100.0,
"completions/mean_terminated_length": 0.0,
"completions/min_length": 100.0,
"completions/min_terminated_length": 0.0,
"epoch": 0.8333333333333334,
"frac_reward_zero_std": 0.075,
"grad_norm": 0.3383573889732361,
"kl": 0.03188293152488768,
"learning_rate": 4.0697674418604655e-05,
"loss": 3.1878240406513214e-05,
"num_tokens": 124444.0,
"reward": -0.7437499940395356,
"reward_std": 0.7179304540157319,
"rewards/reward_fn/mean": -0.7437499821186065,
"rewards/reward_fn/std": 0.7846309900283813,
"step": 40
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completion_length": 100.0,
"completions/clipped_ratio": 1.0,
"completions/max_length": 100.0,
"completions/max_terminated_length": 0.0,
"completions/mean_length": 100.0,
"completions/mean_terminated_length": 0.0,
"completions/min_length": 100.0,
"completions/min_terminated_length": 0.0,
"epoch": 1.0416666666666667,
"frac_reward_zero_std": 0.225,
"grad_norm": 0.35372963547706604,
"kl": 0.04432902028784156,
"learning_rate": 3.682170542635659e-05,
"loss": 4.432052373886109e-05,
"num_tokens": 155440.0,
"reward": -0.6174999922513962,
"reward_std": 0.5982875227928162,
"rewards/reward_fn/mean": -0.6174999952316285,
"rewards/reward_fn/std": 0.698276162147522,
"step": 50
}
],
"logging_steps": 10,
"max_steps": 144,
"num_input_tokens_seen": 155440,
"num_train_epochs": 3,
"save_steps": 50,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}