Files
Qwen2.5-0.5B-Instruct-Gensy…/trainer_state.json
ModelHub XC 2845a04938 初始化项目,由ModelHub XC社区提供模型
Model: rumanshaf/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-playful_slimy_goat
Source: Original Platform
2026-05-12 13:21:37 +08:00

94 lines
2.9 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.6666666666666665,
"eval_steps": 500,
"global_step": 5,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"completion_length": 216.375,
"epoch": 1.0,
"grad_norm": 3.762406587600708,
"kl": 0.0,
"learning_rate": 5e-07,
"loss": 0.0,
"reward": 0.10429969212661187,
"reward_std": 0.04562834929674864,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.0,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.10429969212661187,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 2
},
{
"completion_length": 145.45833333333334,
"epoch": 2.0,
"grad_norm": 21.38670539855957,
"kl": 0.00135897335530899,
"learning_rate": 2.5e-07,
"loss": 0.0,
"reward": 0.31207903412481147,
"reward_std": 0.30183936923276633,
"rewards/concensus_correctness_reward_func": 0.027249999344348907,
"rewards/consensus_reward_func": 0.08333333333333333,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.08333333333333333,
"rewards/question_recreation_reward_func": 0.11816236190497875,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 4
},
{
"completion_length": 212.6875,
"epoch": 2.6666666666666665,
"kl": 0.003756970996619202,
"reward": 0.13972086552530527,
"reward_std": 0.06621935457224026,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.0,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.13972086552530527,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 5,
"total_flos": 0.0,
"train_loss": 1.1657620234473142e-06,
"train_runtime": 2793.2732,
"train_samples_per_second": 0.029,
"train_steps_per_second": 0.002
}
],
"logging_steps": 2,
"max_steps": 5,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 25,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}