Files
Qwen2.5-0.5B-Instruct-Gensy…/trainer_state.json
ModelHub XC 72db95e13b 初始化项目,由ModelHub XC社区提供模型
Model: qqil/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-elusive_silky_tamarin
Source: Original Platform
2026-04-13 05:20:03 +08:00

234 lines
8.0 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.4528301886792452,
"eval_steps": 500,
"global_step": 20,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"completion_length": 329.8125,
"epoch": 0.1509433962264151,
"grad_norm": 17.191255569458008,
"kl": 0.0,
"learning_rate": 5e-07,
"loss": -0.0,
"reward": 0.039155628241132945,
"reward_std": 0.01428457984002307,
"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": 0.039155628241132945,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 2
},
{
"completion_length": 243.875,
"epoch": 0.3018867924528302,
"grad_norm": 38.74528121948242,
"kl": 0.0006890344702696893,
"learning_rate": 4.864543104251586e-07,
"loss": 0.0,
"reward": 0.1348669819708448,
"reward_std": 0.1310532387069543,
"rewards/concensus_correctness_reward_func": -0.05525000020861626,
"rewards/consensus_reward_func": 0.125,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.06511698590475135,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 4
},
{
"completion_length": 125.4375,
"epoch": 0.4528301886792453,
"grad_norm": 11.887129783630371,
"kl": 0.0008054986174101941,
"learning_rate": 4.472851273490984e-07,
"loss": 0.0,
"reward": 0.03981615405064076,
"reward_std": 0.0724839338217862,
"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": 0.07550365466158837,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": -0.03568749874830246,
"step": 6
},
{
"completion_length": 221.625,
"epoch": 0.6037735849056604,
"grad_norm": 10.825657844543457,
"kl": 0.0008960797931649722,
"learning_rate": 3.867370395306068e-07,
"loss": 0.0,
"reward": 0.169917072635144,
"reward_std": 0.20294732836191542,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.0,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.125,
"rewards/question_recreation_reward_func": 0.03704206692054868,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.00787500012665987,
"step": 8
},
{
"completion_length": 121.875,
"epoch": 0.7547169811320755,
"grad_norm": 12.769948959350586,
"kl": 0.0007761767992633395,
"learning_rate": 3.1137137178519977e-07,
"loss": 0.0,
"reward": 0.05784426745958626,
"reward_std": 0.01804652114469718,
"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": 0.05784426745958626,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 10
},
{
"completion_length": 236.6875,
"epoch": 0.9056603773584906,
"grad_norm": 23.49297523498535,
"kl": 0.0008974826741905417,
"learning_rate": 2.2935516363191693e-07,
"loss": 0.0,
"reward": 0.06572715390939265,
"reward_std": 0.021446246337291086,
"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": 0.06572715390939265,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 12
},
{
"completion_length": 236.3,
"epoch": 1.0,
"grad_norm": 5.101478576660156,
"kl": 0.0007671493338420987,
"learning_rate": 1.4957614383675767e-07,
"loss": 0.0,
"reward": 0.11197975892573594,
"reward_std": 0.02665466726757586,
"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": 0.11197975892573594,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 14
},
{
"completion_length": 111.1875,
"epoch": 1.150943396226415,
"grad_norm": 32.584754943847656,
"kl": 0.0011245726636843756,
"learning_rate": 8.067960709356478e-08,
"loss": 0.0,
"reward": 0.055528199998661876,
"reward_std": 0.016688317846274003,
"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": 0.055528199998661876,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 16
},
{
"completion_length": 228.375,
"epoch": 1.3018867924528301,
"grad_norm": 23.378738403320312,
"kl": 0.0014287719095591456,
"learning_rate": 3.013156219837776e-08,
"loss": 0.0,
"reward": 0.03964615031145513,
"reward_std": 0.013994272749187076,
"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": 0.03964615031145513,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 18
},
{
"completion_length": 212.4375,
"epoch": 1.4528301886792452,
"grad_norm": 7.405801296234131,
"kl": 0.0007980182890605647,
"learning_rate": 3.4096741493194193e-09,
"loss": 0.0,
"reward": 0.034015504526905715,
"reward_std": 0.0055219637652044185,
"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": 0.034015504526905715,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.0,
"step": 20
},
{
"epoch": 1.4528301886792452,
"step": 20,
"total_flos": 0.0,
"train_loss": 8.887580065675138e-07,
"train_runtime": 65076.7906,
"train_samples_per_second": 0.002,
"train_steps_per_second": 0.0
}
],
"logging_steps": 2,
"max_steps": 20,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"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
}