Qwen-2.5-7B-Simple-RL-v2 / trainer_state.json
aidando73's picture
.
c381217
{
"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": 637.0468978881836,
"epoch": 0.017057569296375266,
"grad_norm": 0.29794225096702576,
"kl": 0.0,
"learning_rate": 5e-07,
"loss": 0.0399,
"reward": 0.5323661006987095,
"reward_std": 0.4141998440027237,
"rewards/accuracy_reward": 0.522321455180645,
"rewards/format_reward": 0.010044643306173384,
"step": 1
},
{
"clip_ratio": 0.0,
"completion_length": 620.5482950210571,
"epoch": 0.08528784648187633,
"grad_norm": 1.4550719261169434,
"kl": 0.00039458274841308594,
"learning_rate": 2.5e-06,
"loss": 0.0399,
"reward": 0.5259486855939031,
"reward_std": 0.40668863616883755,
"rewards/accuracy_reward": 0.5150669887661934,
"rewards/format_reward": 0.010881697031436488,
"step": 5
},
{
"clip_ratio": 0.0,
"completion_length": 623.8926574707032,
"epoch": 0.17057569296375266,
"grad_norm": 4.9805378913879395,
"kl": 0.016739654541015624,
"learning_rate": 2.956412726139078e-06,
"loss": 0.0634,
"reward": 0.6223214566707611,
"reward_std": 0.36663368344306946,
"rewards/accuracy_reward": 0.6098214544355869,
"rewards/format_reward": 0.01250000074505806,
"step": 10
},
{
"clip_ratio": 0.0,
"completion_length": 615.7777038574219,
"epoch": 0.255863539445629,
"grad_norm": 0.47206947207450867,
"kl": 0.013239669799804687,
"learning_rate": 2.7836719084521715e-06,
"loss": 0.0924,
"reward": 0.6946428909897804,
"reward_std": 0.3172408826649189,
"rewards/accuracy_reward": 0.6904018193483352,
"rewards/format_reward": 0.004241071664728225,
"step": 15
},
{
"clip_ratio": 0.0,
"completion_length": 599.7145324707031,
"epoch": 0.3411513859275053,
"grad_norm": 0.2272499054670334,
"kl": 0.01047210693359375,
"learning_rate": 2.4946839873611927e-06,
"loss": 0.0599,
"reward": 0.7276786029338836,
"reward_std": 0.27400995828211305,
"rewards/accuracy_reward": 0.724107176065445,
"rewards/format_reward": 0.00357142873108387,
"step": 20
},
{
"clip_ratio": 0.0,
"completion_length": 603.7484680175781,
"epoch": 0.42643923240938164,
"grad_norm": 0.3881862163543701,
"kl": 0.0113189697265625,
"learning_rate": 2.1156192081791355e-06,
"loss": 0.0633,
"reward": 0.7245536014437676,
"reward_std": 0.2838048007339239,
"rewards/accuracy_reward": 0.7116071715950966,
"rewards/format_reward": 0.012946429196745157,
"step": 25
},
{
"clip_ratio": 0.0,
"completion_length": 600.9332847595215,
"epoch": 0.511727078891258,
"grad_norm": 0.3461417853832245,
"kl": 0.013724517822265626,
"learning_rate": 1.6808050203829845e-06,
"loss": 0.055,
"reward": 0.7535714626312255,
"reward_std": 0.3158104930073023,
"rewards/accuracy_reward": 0.6966518193483353,
"rewards/format_reward": 0.056919645587913695,
"step": 30
},
{
"clip_ratio": 0.0,
"completion_length": 575.5292694091797,
"epoch": 0.5970149253731343,
"grad_norm": 0.3223617970943451,
"kl": 0.03236236572265625,
"learning_rate": 1.2296174432791415e-06,
"loss": 0.0614,
"reward": 0.8600446820259094,
"reward_std": 0.3953482583165169,
"rewards/accuracy_reward": 0.6738839574158192,
"rewards/format_reward": 0.18616072218865157,
"step": 35
},
{
"clip_ratio": 0.0,
"completion_length": 552.3160972595215,
"epoch": 0.6823027718550106,
"grad_norm": 0.49858179688453674,
"kl": 0.02544708251953125,
"learning_rate": 8.029152419343472e-07,
"loss": 0.0709,
"reward": 0.9142857566475868,
"reward_std": 0.4068648174405098,
"rewards/accuracy_reward": 0.7058036103844643,
"rewards/format_reward": 0.20848215278238058,
"step": 40
},
{
"clip_ratio": 0.0,
"completion_length": 556.3649818420411,
"epoch": 0.767590618336887,
"grad_norm": 0.4330020546913147,
"kl": 0.035955810546875,
"learning_rate": 4.3933982822017883e-07,
"loss": 0.069,
"reward": 0.9526786163449288,
"reward_std": 0.4379459634423256,
"rewards/accuracy_reward": 0.6968750283122063,
"rewards/format_reward": 0.25580358393490316,
"step": 45
},
{
"clip_ratio": 0.0,
"completion_length": 558.1154296875,
"epoch": 0.8528784648187633,
"grad_norm": 0.6382198333740234,
"kl": 0.044219970703125,
"learning_rate": 1.718159615201853e-07,
"loss": 0.0789,
"reward": 0.9250000432133675,
"reward_std": 0.4314121402800083,
"rewards/accuracy_reward": 0.6897321730852127,
"rewards/format_reward": 0.23526786901056768,
"step": 50
},
{
"clip_ratio": 0.0,
"completion_length": 548.7268096923829,
"epoch": 0.9381663113006397,
"grad_norm": 0.397476464509964,
"kl": 0.0381134033203125,
"learning_rate": 2.4570139579284723e-08,
"loss": 0.0697,
"reward": 0.9647321805357933,
"reward_std": 0.45185114070773125,
"rewards/accuracy_reward": 0.7183036014437676,
"rewards/format_reward": 0.24642858281731606,
"step": 55
},
{
"clip_ratio": 0.0,
"completion_length": 540.5064531962076,
"epoch": 0.9893390191897654,
"kl": 0.037785847981770836,
"reward": 0.955729216337204,
"reward_std": 0.44279487431049347,
"rewards/accuracy_reward": 0.7120536069075266,
"rewards/format_reward": 0.24367560787747303,
"step": 58,
"total_flos": 0.0,
"train_loss": 0.06606895855531611,
"train_runtime": 9129.9094,
"train_samples_per_second": 0.821,
"train_steps_per_second": 0.006
}
],
"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
}