Qwen-2.5-7B-Simple-RL / trainer_state.json
Ligeng-Zhu's picture
Model save
692c299 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9893390191897654,
"eval_steps": 100,
"global_step": 58,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"completion_length": 614.0942222595215,
"epoch": 0.08528784648187633,
"grad_norm": 39.48369216918945,
"kl": 0.002408742904663086,
"learning_rate": 2.5e-06,
"loss": 0.0001,
"reward": 0.6303571693599224,
"reward_std": 0.3278109859675169,
"rewards/accuracy_reward": 0.6299107424914837,
"rewards/format_reward": 0.00044642859138548373,
"step": 5
},
{
"completion_length": 618.1955627441406,
"epoch": 0.17057569296375266,
"grad_norm": 0.26418083906173706,
"kl": 0.0033366203308105467,
"learning_rate": 2.956412726139078e-06,
"loss": 0.0001,
"reward": 0.6823660999536514,
"reward_std": 0.2967432256788015,
"rewards/accuracy_reward": 0.6821428865194321,
"rewards/format_reward": 0.00022321429569274187,
"step": 10
},
{
"completion_length": 615.4616325378418,
"epoch": 0.255863539445629,
"grad_norm": 0.29952046275138855,
"kl": 0.004865837097167969,
"learning_rate": 2.7836719084521715e-06,
"loss": 0.0002,
"reward": 0.7544643208384514,
"reward_std": 0.22131893783807755,
"rewards/accuracy_reward": 0.7544643208384514,
"rewards/format_reward": 0.0,
"step": 15
},
{
"completion_length": 594.9377471923829,
"epoch": 0.3411513859275053,
"grad_norm": 0.26904380321502686,
"kl": 0.0036653518676757813,
"learning_rate": 2.4946839873611927e-06,
"loss": 0.0001,
"reward": 0.7558036029338837,
"reward_std": 0.20889290906488894,
"rewards/accuracy_reward": 0.7558036029338837,
"rewards/format_reward": 0.0,
"step": 20
},
{
"completion_length": 605.4913223266601,
"epoch": 0.42643923240938164,
"grad_norm": 0.12021861970424652,
"kl": 0.003992271423339844,
"learning_rate": 2.1156192081791355e-06,
"loss": 0.0002,
"reward": 0.7569196805357933,
"reward_std": 0.19887337032705546,
"rewards/accuracy_reward": 0.7569196805357933,
"rewards/format_reward": 0.0,
"step": 25
},
{
"completion_length": 609.8823944091797,
"epoch": 0.511727078891258,
"grad_norm": 0.09571157395839691,
"kl": 0.0034656524658203125,
"learning_rate": 1.6808050203829845e-06,
"loss": 0.0001,
"reward": 0.7562500357627868,
"reward_std": 0.1893269034102559,
"rewards/accuracy_reward": 0.7562500357627868,
"rewards/format_reward": 0.0,
"step": 30
},
{
"completion_length": 594.9317237854004,
"epoch": 0.5970149253731343,
"grad_norm": 0.17406129837036133,
"kl": 0.01944389343261719,
"learning_rate": 1.2296174432791415e-06,
"loss": 0.0008,
"reward": 0.7457589656114578,
"reward_std": 0.1772445771843195,
"rewards/accuracy_reward": 0.7457589656114578,
"rewards/format_reward": 0.0,
"step": 35
},
{
"completion_length": 587.7542655944824,
"epoch": 0.6823027718550106,
"grad_norm": 0.3893604278564453,
"kl": 0.0033367156982421877,
"learning_rate": 8.029152419343472e-07,
"loss": 0.0001,
"reward": 0.7665178909897804,
"reward_std": 0.17746288534253835,
"rewards/accuracy_reward": 0.7665178909897804,
"rewards/format_reward": 0.0,
"step": 40
},
{
"completion_length": 608.1580612182618,
"epoch": 0.767590618336887,
"grad_norm": 0.13640980422496796,
"kl": 0.0030500411987304686,
"learning_rate": 4.3933982822017883e-07,
"loss": 0.0001,
"reward": 0.7549107506871223,
"reward_std": 0.18457430368289351,
"rewards/accuracy_reward": 0.7549107506871223,
"rewards/format_reward": 0.0,
"step": 45
},
{
"completion_length": 602.2951156616211,
"epoch": 0.8528784648187633,
"grad_norm": 0.217549666762352,
"kl": 0.003106689453125,
"learning_rate": 1.718159615201853e-07,
"loss": 0.0001,
"reward": 0.7488839671015739,
"reward_std": 0.18157500196248294,
"rewards/accuracy_reward": 0.7488839671015739,
"rewards/format_reward": 0.0,
"step": 50
},
{
"completion_length": 599.9350708007812,
"epoch": 0.9381663113006397,
"grad_norm": 0.23885449767112732,
"kl": 0.0033361434936523436,
"learning_rate": 2.4570139579284723e-08,
"loss": 0.0001,
"reward": 0.776116107404232,
"reward_std": 0.19774878825992345,
"rewards/accuracy_reward": 0.776116107404232,
"rewards/format_reward": 0.0,
"step": 55
},
{
"completion_length": 583.1644630432129,
"epoch": 0.9893390191897654,
"kl": 0.0035022099812825522,
"reward": 0.7760417039195696,
"reward_std": 0.16163485000530878,
"rewards/accuracy_reward": 0.7760417039195696,
"rewards/format_reward": 0.0,
"step": 58,
"total_flos": 0.0,
"train_loss": -0.00014772719968559928,
"train_runtime": 12261.9552,
"train_samples_per_second": 0.612,
"train_steps_per_second": 0.005
}
],
"logging_steps": 5,
"max_steps": 58,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": false,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}