|
{ |
|
"best_metric": 0.0015446161851286888, |
|
"best_model_checkpoint": "checkpoints/Qwen2.5-VL-7B-Instruct-GRPO-3DSRBench-small-2025-02-10-22-17-37/checkpoint-16", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 16, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"completion_length": 104.45833587646484, |
|
"epoch": 0.25, |
|
"grad_norm": 12.969447688340658, |
|
"kl": 0.0, |
|
"learning_rate": 9.374999999999999e-07, |
|
"loss": -0.0, |
|
"reward": 0.3333333432674408, |
|
"reward_std": 0.2357022613286972, |
|
"rewards/accuracy_reward": 0.3333333432674408, |
|
"rewards/format_reward": 0.0, |
|
"step": 1 |
|
}, |
|
{ |
|
"completion_length": 58.5, |
|
"epoch": 0.5, |
|
"grad_norm": 469.390542705169, |
|
"kl": 0.005462646484375, |
|
"learning_rate": 8.75e-07, |
|
"loss": 0.0002, |
|
"reward": 0.4166666865348816, |
|
"reward_std": 0.33247750997543335, |
|
"rewards/accuracy_reward": 0.4166666865348816, |
|
"rewards/format_reward": 0.0, |
|
"step": 2 |
|
}, |
|
{ |
|
"completion_length": 55.5, |
|
"epoch": 0.75, |
|
"grad_norm": 232.56452697554002, |
|
"kl": 0.053466796875, |
|
"learning_rate": 8.125e-07, |
|
"loss": 0.0021, |
|
"reward": 0.625, |
|
"reward_std": 0.48112308979034424, |
|
"rewards/accuracy_reward": 0.625, |
|
"rewards/format_reward": 0.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"completion_length": 91.0, |
|
"epoch": 1.0, |
|
"grad_norm": 193.90471690480015, |
|
"kl": 0.0693359375, |
|
"learning_rate": 7.5e-07, |
|
"loss": 0.003, |
|
"reward": 0.0, |
|
"reward_std": 0.0, |
|
"rewards/accuracy_reward": 0.0, |
|
"rewards/format_reward": 0.0, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_completion_length": 94.5999984741211, |
|
"eval_kl": 0.1806640625, |
|
"eval_loss": 0.006281447596848011, |
|
"eval_reward": 0.0, |
|
"eval_reward_std": 0.0, |
|
"eval_rewards/accuracy_reward": 0.0, |
|
"eval_rewards/format_reward": 0.0, |
|
"eval_runtime": 8.9021, |
|
"eval_samples_per_second": 0.562, |
|
"eval_steps_per_second": 0.112, |
|
"step": 4 |
|
}, |
|
{ |
|
"completion_length": 59.54166793823242, |
|
"epoch": 1.25, |
|
"grad_norm": 11.754392724379205, |
|
"kl": 0.1416015625, |
|
"learning_rate": 6.875e-07, |
|
"loss": 0.0056, |
|
"reward": 0.5416666865348816, |
|
"reward_std": 0.17251639068126678, |
|
"rewards/accuracy_reward": 0.5416666865348816, |
|
"rewards/format_reward": 0.0, |
|
"step": 5 |
|
}, |
|
{ |
|
"completion_length": 64.91667175292969, |
|
"epoch": 1.5, |
|
"grad_norm": 13.750858312191527, |
|
"kl": 0.2255859375, |
|
"learning_rate": 6.249999999999999e-07, |
|
"loss": 0.009, |
|
"reward": 0.3333333432674408, |
|
"reward_std": 0.0, |
|
"rewards/accuracy_reward": 0.3333333432674408, |
|
"rewards/format_reward": 0.0, |
|
"step": 6 |
|
}, |
|
{ |
|
"completion_length": 75.125, |
|
"epoch": 1.75, |
|
"grad_norm": 15.657561566262425, |
|
"kl": 0.037109375, |
|
"learning_rate": 5.625e-07, |
|
"loss": 0.0015, |
|
"reward": 0.4583333432674408, |
|
"reward_std": 0.4082186818122864, |
|
"rewards/accuracy_reward": 0.4583333432674408, |
|
"rewards/format_reward": 0.0, |
|
"step": 7 |
|
}, |
|
{ |
|
"completion_length": 73.0, |
|
"epoch": 2.0, |
|
"grad_norm": 54.0708979591708, |
|
"kl": 0.041259765625, |
|
"learning_rate": 5e-07, |
|
"loss": 0.0057, |
|
"reward": 0.0, |
|
"reward_std": 0.0, |
|
"rewards/accuracy_reward": 0.0, |
|
"rewards/format_reward": 0.0, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_completion_length": 87.5999984741211, |
|
"eval_kl": 0.09228515625, |
|
"eval_loss": 0.0028523791115731, |
|
"eval_reward": 0.0, |
|
"eval_reward_std": 0.0, |
|
"eval_rewards/accuracy_reward": 0.0, |
|
"eval_rewards/format_reward": 0.0, |
|
"eval_runtime": 9.426, |
|
"eval_samples_per_second": 0.53, |
|
"eval_steps_per_second": 0.106, |
|
"step": 8 |
|
}, |
|
{ |
|
"completion_length": 39.375, |
|
"epoch": 2.25, |
|
"grad_norm": 448.1591916712212, |
|
"kl": 0.275390625, |
|
"learning_rate": 4.375e-07, |
|
"loss": 0.011, |
|
"reward": 0.5833333730697632, |
|
"reward_std": 0.4993361234664917, |
|
"rewards/accuracy_reward": 0.5833333730697632, |
|
"rewards/format_reward": 0.0, |
|
"step": 9 |
|
}, |
|
{ |
|
"completion_length": 59.833335876464844, |
|
"epoch": 2.5, |
|
"grad_norm": 14.127720206827185, |
|
"kl": 0.0390625, |
|
"learning_rate": 3.75e-07, |
|
"loss": 0.0016, |
|
"reward": 0.875, |
|
"reward_std": 0.17251639068126678, |
|
"rewards/accuracy_reward": 0.875, |
|
"rewards/format_reward": 0.0, |
|
"step": 10 |
|
}, |
|
{ |
|
"completion_length": 34.708335876464844, |
|
"epoch": 2.75, |
|
"grad_norm": 307.5804345526168, |
|
"kl": 0.06396484375, |
|
"learning_rate": 3.1249999999999997e-07, |
|
"loss": 0.0026, |
|
"reward": 0.2916666865348816, |
|
"reward_std": 0.2721545100212097, |
|
"rewards/accuracy_reward": 0.2916666865348816, |
|
"rewards/format_reward": 0.0, |
|
"step": 11 |
|
}, |
|
{ |
|
"completion_length": 4.0, |
|
"epoch": 3.0, |
|
"grad_norm": 33.51591785639859, |
|
"kl": 0.1171875, |
|
"learning_rate": 2.5e-07, |
|
"loss": 0.0024, |
|
"reward": 1.0, |
|
"reward_std": 0.0, |
|
"rewards/accuracy_reward": 1.0, |
|
"rewards/format_reward": 0.0, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_completion_length": 82.20000457763672, |
|
"eval_kl": 0.07275390625, |
|
"eval_loss": 0.0028513565193861723, |
|
"eval_reward": 0.20000000298023224, |
|
"eval_reward_std": 0.46291008591651917, |
|
"eval_rewards/accuracy_reward": 0.20000000298023224, |
|
"eval_rewards/format_reward": 0.0, |
|
"eval_runtime": 9.0691, |
|
"eval_samples_per_second": 0.551, |
|
"eval_steps_per_second": 0.11, |
|
"step": 12 |
|
}, |
|
{ |
|
"completion_length": 66.45833587646484, |
|
"epoch": 3.25, |
|
"grad_norm": 23.952974818627894, |
|
"kl": 0.0242919921875, |
|
"learning_rate": 1.875e-07, |
|
"loss": 0.001, |
|
"reward": 0.7916666865348816, |
|
"reward_std": 0.3268197476863861, |
|
"rewards/accuracy_reward": 0.7916666865348816, |
|
"rewards/format_reward": 0.0, |
|
"step": 13 |
|
}, |
|
{ |
|
"completion_length": 82.04167175292969, |
|
"epoch": 3.5, |
|
"grad_norm": 6.6087277944458, |
|
"kl": 0.02783203125, |
|
"learning_rate": 1.25e-07, |
|
"loss": 0.0011, |
|
"reward": 0.5416666865348816, |
|
"reward_std": 0.17251639068126678, |
|
"rewards/accuracy_reward": 0.5416666865348816, |
|
"rewards/format_reward": 0.0, |
|
"step": 14 |
|
}, |
|
{ |
|
"completion_length": 58.875, |
|
"epoch": 3.75, |
|
"grad_norm": 58.01807470412879, |
|
"kl": 0.041748046875, |
|
"learning_rate": 6.25e-08, |
|
"loss": 0.0017, |
|
"reward": 0.25, |
|
"reward_std": 0.4629100561141968, |
|
"rewards/accuracy_reward": 0.25, |
|
"rewards/format_reward": 0.0, |
|
"step": 15 |
|
}, |
|
{ |
|
"completion_length": 23.0, |
|
"epoch": 4.0, |
|
"grad_norm": 6.755101305420566, |
|
"kl": 0.080078125, |
|
"learning_rate": 0.0, |
|
"loss": 0.0015, |
|
"reward": 0.0, |
|
"reward_std": 0.0, |
|
"rewards/accuracy_reward": 0.0, |
|
"rewards/format_reward": 0.0, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_completion_length": 78.0, |
|
"eval_kl": 0.05615234375, |
|
"eval_loss": 0.0015446161851286888, |
|
"eval_reward": 0.0, |
|
"eval_reward_std": 0.0, |
|
"eval_rewards/accuracy_reward": 0.0, |
|
"eval_rewards/format_reward": 0.0, |
|
"eval_runtime": 10.3374, |
|
"eval_samples_per_second": 0.484, |
|
"eval_steps_per_second": 0.097, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 16, |
|
"total_flos": 0.0, |
|
"train_loss": 0.003118676513016283, |
|
"train_runtime": 613.0331, |
|
"train_samples_per_second": 0.065, |
|
"train_steps_per_second": 0.026 |
|
} |
|
], |
|
"logging_steps": 1.0, |
|
"max_steps": 16, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"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": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|