Qwen-2.5-7B-Simple-RL / trainer_state.json
Changyao's picture
Model save
e0f7cef 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": [
{
"clip_ratio": 0.0,
"completion_length": 594.6719055175781,
"epoch": 0.017057569296375266,
"grad_norm": 0.3873046040534973,
"kl": 0.0,
"learning_rate": 5e-07,
"loss": -0.0015,
"reward": 0.5937500223517418,
"reward_std": 0.36258383840322495,
"rewards/accuracy_reward": 0.5937500223517418,
"rewards/format_reward": 0.0,
"step": 1
},
{
"clip_ratio": 0.0,
"completion_length": 608.0756406784058,
"epoch": 0.08528784648187633,
"grad_norm": 0.40932849049568176,
"kl": 0.0003732144832611084,
"learning_rate": 2.5e-06,
"loss": 0.0205,
"reward": 0.591238864697516,
"reward_std": 0.3592316168360412,
"rewards/accuracy_reward": 0.591238864697516,
"rewards/format_reward": 0.0,
"step": 5
},
{
"clip_ratio": 0.0,
"completion_length": 611.1538192749024,
"epoch": 0.17057569296375266,
"grad_norm": 1.189740777015686,
"kl": 0.01576576232910156,
"learning_rate": 2.956412726139078e-06,
"loss": 0.0602,
"reward": 0.6685268126428128,
"reward_std": 0.3173162743449211,
"rewards/accuracy_reward": 0.6685268126428128,
"rewards/format_reward": 0.0,
"step": 10
},
{
"clip_ratio": 0.0,
"completion_length": 604.9509216308594,
"epoch": 0.255863539445629,
"grad_norm": 0.22091668844223022,
"kl": 0.006317520141601562,
"learning_rate": 2.7836719084521715e-06,
"loss": 0.0681,
"reward": 0.7582589656114578,
"reward_std": 0.2310322556644678,
"rewards/accuracy_reward": 0.7582589656114578,
"rewards/format_reward": 0.0,
"step": 15
},
{
"clip_ratio": 0.0,
"completion_length": 593.3093933105469,
"epoch": 0.3411513859275053,
"grad_norm": 0.23042617738246918,
"kl": 0.003882598876953125,
"learning_rate": 2.4946839873611927e-06,
"loss": 0.0576,
"reward": 0.7727678909897804,
"reward_std": 0.19997056629508733,
"rewards/accuracy_reward": 0.7727678909897804,
"rewards/format_reward": 0.0,
"step": 20
},
{
"clip_ratio": 0.0,
"completion_length": 596.6232421875,
"epoch": 0.42643923240938164,
"grad_norm": 0.24932904541492462,
"kl": 0.00549468994140625,
"learning_rate": 2.1156192081791355e-06,
"loss": 0.037,
"reward": 0.7665178909897804,
"reward_std": 0.17505639586597682,
"rewards/accuracy_reward": 0.7665178909897804,
"rewards/format_reward": 0.0,
"step": 25
},
{
"clip_ratio": 0.0,
"completion_length": 601.7830589294433,
"epoch": 0.511727078891258,
"grad_norm": 0.12253822386264801,
"kl": 0.003799247741699219,
"learning_rate": 1.6808050203829845e-06,
"loss": 0.0402,
"reward": 0.7544643223285675,
"reward_std": 0.1821566427126527,
"rewards/accuracy_reward": 0.7544643223285675,
"rewards/format_reward": 0.0,
"step": 30
},
{
"clip_ratio": 0.0,
"completion_length": 591.4761390686035,
"epoch": 0.5970149253731343,
"grad_norm": 0.21455420553684235,
"kl": 0.007158660888671875,
"learning_rate": 1.2296174432791415e-06,
"loss": 0.0349,
"reward": 0.7428571835160256,
"reward_std": 0.17305572014302015,
"rewards/accuracy_reward": 0.7428571835160256,
"rewards/format_reward": 0.0,
"step": 35
},
{
"clip_ratio": 0.0,
"completion_length": 577.2694511413574,
"epoch": 0.6823027718550106,
"grad_norm": 0.1763172149658203,
"kl": 0.0064422607421875,
"learning_rate": 8.029152419343472e-07,
"loss": 0.0448,
"reward": 0.7700893267989158,
"reward_std": 0.18249586317688227,
"rewards/accuracy_reward": 0.7700893267989158,
"rewards/format_reward": 0.0,
"step": 40
},
{
"clip_ratio": 0.0,
"completion_length": 596.8049400329589,
"epoch": 0.767590618336887,
"grad_norm": 0.13369952142238617,
"kl": 0.006565475463867187,
"learning_rate": 4.3933982822017883e-07,
"loss": 0.0355,
"reward": 0.7477678924798965,
"reward_std": 0.18774770591408013,
"rewards/accuracy_reward": 0.7477678924798965,
"rewards/format_reward": 0.0,
"step": 45
},
{
"clip_ratio": 0.0,
"completion_length": 595.1364059448242,
"epoch": 0.8528784648187633,
"grad_norm": 0.2092757225036621,
"kl": 0.012014389038085938,
"learning_rate": 1.718159615201853e-07,
"loss": 0.0392,
"reward": 0.745312537252903,
"reward_std": 0.18103930186480283,
"rewards/accuracy_reward": 0.745312537252903,
"rewards/format_reward": 0.0,
"step": 50
},
{
"clip_ratio": 0.0,
"completion_length": 581.1323883056641,
"epoch": 0.9381663113006397,
"grad_norm": 0.11179689317941666,
"kl": 0.011909866333007812,
"learning_rate": 2.4570139579284723e-08,
"loss": 0.0323,
"reward": 0.7830357506871224,
"reward_std": 0.1971761178225279,
"rewards/accuracy_reward": 0.7830357506871224,
"rewards/format_reward": 0.0,
"step": 55
},
{
"clip_ratio": 0.0,
"completion_length": 583.4685948689779,
"epoch": 0.9893390191897654,
"kl": 0.010700225830078125,
"reward": 0.772693487505118,
"reward_std": 0.18821328474829593,
"rewards/accuracy_reward": 0.772693487505118,
"rewards/format_reward": 0.0,
"step": 58,
"total_flos": 0.0,
"train_loss": 0.04097457230893959,
"train_runtime": 12199.579,
"train_samples_per_second": 0.615,
"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
}