qwen25-Math-7b-1epoch-0.8 / trainer_state.json
MatchaLwc's picture
Model save
46c1a22 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9893390191897654,
"eval_steps": 500,
"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": 1023.6596145629883,
"epoch": 0.017057569296375266,
"grad_norm": 0.20048722624778748,
"kl": 0.0,
"learning_rate": 5e-07,
"loss": 0.0001,
"reward": 0.5323661006987095,
"reward_std": 0.3604428209364414,
"rewards/accuracy_reward": 0.5323661006987095,
"rewards/format_reward": 0.0,
"step": 1
},
{
"clip_ratio": 0.0,
"completion_length": 1023.4511775970459,
"epoch": 0.08528784648187633,
"grad_norm": 0.20257917046546936,
"kl": 0.00012809038162231445,
"learning_rate": 2.5e-06,
"loss": -0.0001,
"reward": 0.5292968964204192,
"reward_std": 0.3622816801071167,
"rewards/accuracy_reward": 0.5292968964204192,
"rewards/format_reward": 0.0,
"step": 5
},
{
"clip_ratio": 0.0,
"completion_length": 1023.4633987426757,
"epoch": 0.17057569296375266,
"grad_norm": 4656877.0,
"kl": 367.2123446941376,
"learning_rate": 2.956412726139078e-06,
"loss": 14.6391,
"reward": 0.6254464566707612,
"reward_std": 0.3107393844053149,
"rewards/accuracy_reward": 0.6254464566707612,
"rewards/format_reward": 0.0,
"step": 10
},
{
"clip_ratio": 0.0,
"completion_length": 1023.3234436035157,
"epoch": 0.255863539445629,
"grad_norm": 3.9253804683685303,
"kl": 0.009595108032226563,
"learning_rate": 2.7836719084521715e-06,
"loss": 0.0005,
"reward": 0.7332589611411094,
"reward_std": 0.20636546667665243,
"rewards/accuracy_reward": 0.7332589611411094,
"rewards/format_reward": 0.0,
"step": 15
},
{
"clip_ratio": 0.0,
"completion_length": 1023.3687561035156,
"epoch": 0.3411513859275053,
"grad_norm": 85.55030059814453,
"kl": 2.504261016845703,
"learning_rate": 2.4946839873611927e-06,
"loss": 0.1002,
"reward": 0.7540178909897804,
"reward_std": 0.20728632267564534,
"rewards/accuracy_reward": 0.7540178909897804,
"rewards/format_reward": 0.0,
"step": 20
},
{
"clip_ratio": 0.0,
"completion_length": 1023.1982208251953,
"epoch": 0.42643923240938164,
"grad_norm": 0.11913275718688965,
"kl": 0.010443115234375,
"learning_rate": 2.1156192081791355e-06,
"loss": -0.0,
"reward": 0.7078125305473805,
"reward_std": 0.22495246771723032,
"rewards/accuracy_reward": 0.7078125305473805,
"rewards/format_reward": 0.0,
"step": 25
},
{
"clip_ratio": 0.0,
"completion_length": 1022.2207748413086,
"epoch": 0.511727078891258,
"grad_norm": 0.16609279811382294,
"kl": 0.02086181640625,
"learning_rate": 1.6808050203829845e-06,
"loss": 0.0002,
"reward": 0.6819196730852127,
"reward_std": 0.23855062574148178,
"rewards/accuracy_reward": 0.6819196730852127,
"rewards/format_reward": 0.0,
"step": 30
},
{
"clip_ratio": 0.0,
"completion_length": 1021.6817230224609,
"epoch": 0.5970149253731343,
"grad_norm": 0.13880808651447296,
"kl": 0.11976318359375,
"learning_rate": 1.2296174432791415e-06,
"loss": 0.0045,
"reward": 0.6767857484519482,
"reward_std": 0.2631826866418123,
"rewards/accuracy_reward": 0.6767857484519482,
"rewards/format_reward": 0.0,
"step": 35
},
{
"clip_ratio": 0.0,
"completion_length": 1019.6558319091797,
"epoch": 0.6823027718550106,
"grad_norm": 0.11709701269865036,
"kl": 0.05513916015625,
"learning_rate": 8.029152419343472e-07,
"loss": 0.0012,
"reward": 0.721875037252903,
"reward_std": 0.24268740862607957,
"rewards/accuracy_reward": 0.721875037252903,
"rewards/format_reward": 0.0,
"step": 40
},
{
"clip_ratio": 0.0,
"completion_length": 1019.2009307861329,
"epoch": 0.767590618336887,
"grad_norm": 0.1280747801065445,
"kl": 0.06370849609375,
"learning_rate": 4.3933982822017883e-07,
"loss": 0.0015,
"reward": 0.716294676065445,
"reward_std": 0.24778253957629204,
"rewards/accuracy_reward": 0.716294676065445,
"rewards/format_reward": 0.0,
"step": 45
},
{
"clip_ratio": 0.0,
"completion_length": 1019.0522689819336,
"epoch": 0.8528784648187633,
"grad_norm": 0.12121888995170593,
"kl": 0.073321533203125,
"learning_rate": 1.718159615201853e-07,
"loss": 0.0026,
"reward": 0.7066964566707611,
"reward_std": 0.2454331662505865,
"rewards/accuracy_reward": 0.7066964566707611,
"rewards/format_reward": 0.0,
"step": 50
},
{
"clip_ratio": 0.0,
"completion_length": 1019.5757049560547,
"epoch": 0.9381663113006397,
"grad_norm": 0.11665258556604385,
"kl": 0.074462890625,
"learning_rate": 2.4570139579284723e-08,
"loss": 0.0031,
"reward": 0.742857177555561,
"reward_std": 0.22821373529732228,
"rewards/accuracy_reward": 0.742857177555561,
"rewards/format_reward": 0.0,
"step": 55
},
{
"clip_ratio": 0.0,
"completion_length": 1019.2984924316406,
"epoch": 0.9893390191897654,
"kl": 0.07273356119791667,
"reward": 0.7217262263099352,
"reward_std": 0.23794425589342913,
"rewards/accuracy_reward": 0.7217262263099352,
"rewards/format_reward": 0.0,
"step": 58,
"total_flos": 0.0,
"train_loss": 1.272181348064523,
"train_runtime": 20557.9051,
"train_samples_per_second": 0.365,
"train_steps_per_second": 0.003
}
],
"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
}