lewtun's picture
lewtun HF staff
Model save
ee02ffe verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.985781990521327,
"eval_steps": 100,
"global_step": 52,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"grad_norm": 244.8721456152185,
"learning_rate": 8.333333333333333e-08,
"logits/chosen": 124.78954315185547,
"logits/rejected": 100.39772033691406,
"logps/chosen": -796.0274658203125,
"logps/rejected": -794.6148071289062,
"loss": 0.6931,
"rewards/accuracies": 0.0,
"rewards/chosen": 0.0,
"rewards/margins": 0.0,
"rewards/rejected": 0.0,
"step": 1
},
{
"epoch": 0.19,
"grad_norm": 368.65122304087805,
"learning_rate": 4.907293218369498e-07,
"logits/chosen": 112.4518814086914,
"logits/rejected": 134.5890655517578,
"logps/chosen": -765.5065307617188,
"logps/rejected": -864.3118286132812,
"loss": 0.7748,
"rewards/accuracies": 0.5208333134651184,
"rewards/chosen": 1.3156064748764038,
"rewards/margins": 0.3313724994659424,
"rewards/rejected": 0.9842338562011719,
"step": 10
},
{
"epoch": 0.38,
"grad_norm": 149.0189625077011,
"learning_rate": 3.941700805287168e-07,
"logits/chosen": 121.66800689697266,
"logits/rejected": 133.4822540283203,
"logps/chosen": -781.7298583984375,
"logps/rejected": -874.7434692382812,
"loss": 0.6002,
"rewards/accuracies": 0.7124999761581421,
"rewards/chosen": -0.5688278675079346,
"rewards/margins": 0.9308306574821472,
"rewards/rejected": -1.499658465385437,
"step": 20
},
{
"epoch": 0.57,
"grad_norm": 147.76046578027186,
"learning_rate": 2.3293939665883228e-07,
"logits/chosen": 117.63569641113281,
"logits/rejected": 121.6900863647461,
"logps/chosen": -799.3150634765625,
"logps/rejected": -875.8349609375,
"loss": 0.5594,
"rewards/accuracies": 0.793749988079071,
"rewards/chosen": 0.4851824641227722,
"rewards/margins": 1.7067598104476929,
"rewards/rejected": -1.2215770483016968,
"step": 30
},
{
"epoch": 0.76,
"grad_norm": 256.23145528312574,
"learning_rate": 7.936171419533652e-08,
"logits/chosen": 121.34794616699219,
"logits/rejected": 116.52691650390625,
"logps/chosen": -817.7227172851562,
"logps/rejected": -839.1307373046875,
"loss": 0.5394,
"rewards/accuracies": 0.6875,
"rewards/chosen": 0.21919576823711395,
"rewards/margins": 1.1367448568344116,
"rewards/rejected": -0.9175491333007812,
"step": 40
},
{
"epoch": 0.95,
"grad_norm": 183.47584962413794,
"learning_rate": 2.328513490917311e-09,
"logits/chosen": 131.08836364746094,
"logits/rejected": 130.64154052734375,
"logps/chosen": -823.6575927734375,
"logps/rejected": -865.67431640625,
"loss": 0.5246,
"rewards/accuracies": 0.706250011920929,
"rewards/chosen": 0.5636774897575378,
"rewards/margins": 1.3959708213806152,
"rewards/rejected": -0.8322933316230774,
"step": 50
},
{
"epoch": 0.99,
"step": 52,
"total_flos": 0.0,
"train_loss": 0.5969172991239108,
"train_runtime": 576.3983,
"train_samples_per_second": 11.711,
"train_steps_per_second": 0.09
}
],
"logging_steps": 10,
"max_steps": 52,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"total_flos": 0.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}