tech27/Qwen2.5-1.5B-Instruct-Gensyn-Swarm-amphibious_spotted_kingfisher
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: tech27/Qwen2.5-1.5B-Instruct-Gensyn-Swarm-amphibious_spotted_kingfisher
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-06 13:28:21 +08:00
commit 9d7ecd10c7
20 changed files with 152455 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

233
trainer_state.json Normal file
View File

@@ -0,0 +1,233 @@
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 6.7272727272727275,
"eval_steps": 500,
"global_step": 20,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"completion_length": 473.125,
"epoch": 0.7272727272727273,
"grad_norm": 0.47395309805870056,
"kl": 0.0007194303179858252,
"learning_rate": 5e-07,
"loss": 0.0,
"reward": 1.0330365039408207,
"reward_std": 0.8502509072422981,
"rewards/concensus_correctness_reward_func": 0.12487500160932541,
"rewards/consensus_reward_func": 0.25,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.40381778590381145,
"rewards/soft_format_reward_func": 0.015625,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.2387187471613288,
"step": 2
},
{
"completion_length": 438.92857142857144,
"epoch": 1.3636363636363638,
"grad_norm": 0.7307482361793518,
"kl": 0.000792368157168052,
"learning_rate": 4.864543104251586e-07,
"loss": 0.0,
"reward": 1.1922784277370997,
"reward_std": 1.0465660755123412,
"rewards/concensus_correctness_reward_func": 0.04221428717885699,
"rewards/consensus_reward_func": 0.21428571428571427,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.48559985416276114,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.017857142857142856,
"rewards/xmlcount_reward_func": 0.43232143776757376,
"step": 4
},
{
"completion_length": 504.35714285714283,
"epoch": 2.0,
"grad_norm": 0.5159506797790527,
"kl": 0.0007334664613673729,
"learning_rate": 4.472851273490984e-07,
"loss": 0.0,
"reward": 0.8352767441953931,
"reward_std": 0.8559413254261017,
"rewards/concensus_correctness_reward_func": 0.05357142857142857,
"rewards/consensus_reward_func": 0.14285714285714285,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.3499195910990238,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.017857142857142856,
"rewards/xmlcount_reward_func": 0.2710714191198349,
"step": 6
},
{
"completion_length": 455.71875,
"epoch": 2.7272727272727275,
"grad_norm": 0.45576661825180054,
"kl": 0.0007681748211325612,
"learning_rate": 3.867370395306068e-07,
"loss": 0.0,
"reward": 1.2727090716362,
"reward_std": 0.8306444603949785,
"rewards/concensus_correctness_reward_func": 0.039000000804662704,
"rewards/consensus_reward_func": 0.375,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.43352156039327383,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.4251874964684248,
"step": 8
},
{
"completion_length": 614.7857142857143,
"epoch": 3.3636363636363638,
"grad_norm": 0.3708077073097229,
"kl": 0.0005846833519171923,
"learning_rate": 3.1137137178519977e-07,
"loss": 0.0,
"reward": 0.9227776953152248,
"reward_std": 1.1642258380140578,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.2857142857142857,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.5982062688895634,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.03885713006768908,
"step": 10
},
{
"completion_length": 506.32142857142856,
"epoch": 4.0,
"grad_norm": 0.3548920750617981,
"kl": 0.00077266401162238,
"learning_rate": 2.2935516363191693e-07,
"loss": 0.0,
"reward": 1.336006041084017,
"reward_std": 0.8086139815194267,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.2857142857142857,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.5260417546544757,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.524250002843993,
"step": 12
},
{
"completion_length": 585.0625,
"epoch": 4.7272727272727275,
"grad_norm": 0.6056526899337769,
"kl": 0.0006429032546293456,
"learning_rate": 1.4957614383675767e-07,
"loss": 0.0,
"reward": 1.0751310326159,
"reward_std": 0.9033161960542202,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.1875,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.5824123099446297,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.30521874129772186,
"step": 14
},
{
"completion_length": 475.67857142857144,
"epoch": 5.363636363636363,
"grad_norm": 0.3054889440536499,
"kl": 0.0006323940885652389,
"learning_rate": 8.067960709356478e-08,
"loss": 0.0,
"reward": 1.0472202003002167,
"reward_std": 1.2190494877951485,
"rewards/concensus_correctness_reward_func": 0.11892857296126229,
"rewards/consensus_reward_func": 0.42857142857142855,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.40439875211034504,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.09532143601349422,
"step": 16
},
{
"completion_length": 409.07142857142856,
"epoch": 6.0,
"grad_norm": 0.46863505244255066,
"kl": 0.0008968169734414135,
"learning_rate": 3.013156219837776e-08,
"loss": 0.0,
"reward": 0.8927415055888039,
"reward_std": 1.1446925912584578,
"rewards/concensus_correctness_reward_func": 0.05357142857142857,
"rewards/consensus_reward_func": 0.21428571428571427,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.32149150116103037,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.30339285145912853,
"step": 18
},
{
"completion_length": 581.09375,
"epoch": 6.7272727272727275,
"grad_norm": 0.42784228920936584,
"kl": 0.0016935703897615895,
"learning_rate": 3.4096741493194193e-09,
"loss": 0.0,
"reward": 1.1855993624776602,
"reward_std": 1.0335762538015842,
"rewards/concensus_correctness_reward_func": 0.0,
"rewards/consensus_reward_func": 0.4375,
"rewards/cumulative_reward_2": 0.0,
"rewards/final_correctness_reward_func": 0.0,
"rewards/question_recreation_reward_func": 0.48631811887025833,
"rewards/soft_format_reward_func": 0.0,
"rewards/strict_format_reward_func": 0.0,
"rewards/xmlcount_reward_func": 0.2617812678217888,
"step": 20
},
{
"epoch": 6.7272727272727275,
"step": 20,
"total_flos": 0.0,
"train_loss": 7.703036885686743e-07,
"train_runtime": 604.569,
"train_samples_per_second": 0.529,
"train_steps_per_second": 0.033
}
],
"logging_steps": 2,
"max_steps": 20,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 25,
"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": 4,
"trial_name": null,
"trial_params": null
}