|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.14705882352941177, |
|
"eval_steps": 4, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.004901960784313725, |
|
"grad_norm": 1.948913812637329, |
|
"learning_rate": 2.0000000000000003e-06, |
|
"loss": 1.0601, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.004901960784313725, |
|
"eval_loss": 0.9626200199127197, |
|
"eval_runtime": 11.2758, |
|
"eval_samples_per_second": 7.627, |
|
"eval_steps_per_second": 1.951, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00980392156862745, |
|
"grad_norm": 2.0441207885742188, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.9237, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.014705882352941176, |
|
"grad_norm": 1.0346183776855469, |
|
"learning_rate": 6e-06, |
|
"loss": 1.7715, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0196078431372549, |
|
"grad_norm": 1.7915290594100952, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.9189, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0196078431372549, |
|
"eval_loss": 0.9602966904640198, |
|
"eval_runtime": 10.5025, |
|
"eval_samples_per_second": 8.189, |
|
"eval_steps_per_second": 2.095, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.024509803921568627, |
|
"grad_norm": 1.6641079187393188, |
|
"learning_rate": 1e-05, |
|
"loss": 0.7885, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.029411764705882353, |
|
"grad_norm": 1.4073126316070557, |
|
"learning_rate": 9.960573506572391e-06, |
|
"loss": 0.6591, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.03431372549019608, |
|
"grad_norm": 1.7350611686706543, |
|
"learning_rate": 9.842915805643156e-06, |
|
"loss": 0.7968, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.0392156862745098, |
|
"grad_norm": 1.7413434982299805, |
|
"learning_rate": 9.648882429441258e-06, |
|
"loss": 0.8927, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.0392156862745098, |
|
"eval_loss": 0.934045672416687, |
|
"eval_runtime": 10.5931, |
|
"eval_samples_per_second": 8.119, |
|
"eval_steps_per_second": 2.077, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.04411764705882353, |
|
"grad_norm": 1.2970942258834839, |
|
"learning_rate": 9.381533400219319e-06, |
|
"loss": 0.6153, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.049019607843137254, |
|
"grad_norm": 2.589458465576172, |
|
"learning_rate": 9.045084971874738e-06, |
|
"loss": 1.0173, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.05392156862745098, |
|
"grad_norm": 1.39173424243927, |
|
"learning_rate": 8.644843137107058e-06, |
|
"loss": 0.7402, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.058823529411764705, |
|
"grad_norm": 1.885929822921753, |
|
"learning_rate": 8.18711994874345e-06, |
|
"loss": 0.6374, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.058823529411764705, |
|
"eval_loss": 0.9021902680397034, |
|
"eval_runtime": 10.6144, |
|
"eval_samples_per_second": 8.102, |
|
"eval_steps_per_second": 2.073, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.06372549019607843, |
|
"grad_norm": 1.750763177871704, |
|
"learning_rate": 7.679133974894984e-06, |
|
"loss": 0.8322, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.06862745098039216, |
|
"grad_norm": 1.578403353691101, |
|
"learning_rate": 7.128896457825364e-06, |
|
"loss": 0.8538, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.07352941176470588, |
|
"grad_norm": 1.8658047914505005, |
|
"learning_rate": 6.545084971874738e-06, |
|
"loss": 0.7806, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0784313725490196, |
|
"grad_norm": 2.268649101257324, |
|
"learning_rate": 5.936906572928625e-06, |
|
"loss": 0.9588, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.0784313725490196, |
|
"eval_loss": 0.8679822087287903, |
|
"eval_runtime": 10.5908, |
|
"eval_samples_per_second": 8.12, |
|
"eval_steps_per_second": 2.077, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.08333333333333333, |
|
"grad_norm": 0.655454695224762, |
|
"learning_rate": 5.3139525976465675e-06, |
|
"loss": 0.7884, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.08823529411764706, |
|
"grad_norm": 2.9148428440093994, |
|
"learning_rate": 4.686047402353433e-06, |
|
"loss": 0.9067, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.09313725490196079, |
|
"grad_norm": 0.9642003774642944, |
|
"learning_rate": 4.063093427071376e-06, |
|
"loss": 0.636, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.09803921568627451, |
|
"grad_norm": 1.121366262435913, |
|
"learning_rate": 3.4549150281252635e-06, |
|
"loss": 0.7324, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.09803921568627451, |
|
"eval_loss": 0.8456867933273315, |
|
"eval_runtime": 10.6004, |
|
"eval_samples_per_second": 8.113, |
|
"eval_steps_per_second": 2.075, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.10294117647058823, |
|
"grad_norm": 2.0282931327819824, |
|
"learning_rate": 2.871103542174637e-06, |
|
"loss": 0.8578, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.10784313725490197, |
|
"grad_norm": 0.8347979784011841, |
|
"learning_rate": 2.320866025105016e-06, |
|
"loss": 0.775, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.11274509803921569, |
|
"grad_norm": 1.1945385932922363, |
|
"learning_rate": 1.8128800512565514e-06, |
|
"loss": 0.6854, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.11764705882352941, |
|
"grad_norm": 1.330310583114624, |
|
"learning_rate": 1.3551568628929434e-06, |
|
"loss": 0.8785, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.11764705882352941, |
|
"eval_loss": 0.8344882726669312, |
|
"eval_runtime": 10.6019, |
|
"eval_samples_per_second": 8.112, |
|
"eval_steps_per_second": 2.075, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.12254901960784313, |
|
"grad_norm": 1.4803705215454102, |
|
"learning_rate": 9.549150281252633e-07, |
|
"loss": 0.6359, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.12745098039215685, |
|
"grad_norm": 1.536838173866272, |
|
"learning_rate": 6.184665997806832e-07, |
|
"loss": 0.6286, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.1323529411764706, |
|
"grad_norm": 1.0436162948608398, |
|
"learning_rate": 3.511175705587433e-07, |
|
"loss": 0.7679, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.13725490196078433, |
|
"grad_norm": 2.5319721698760986, |
|
"learning_rate": 1.5708419435684463e-07, |
|
"loss": 1.1476, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.13725490196078433, |
|
"eval_loss": 0.8303804397583008, |
|
"eval_runtime": 10.618, |
|
"eval_samples_per_second": 8.099, |
|
"eval_steps_per_second": 2.072, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.14215686274509803, |
|
"grad_norm": 1.8032675981521606, |
|
"learning_rate": 3.9426493427611177e-08, |
|
"loss": 0.8761, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.14705882352941177, |
|
"grad_norm": 2.128256320953369, |
|
"learning_rate": 0.0, |
|
"loss": 1.0381, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 20, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.041223234093056e+16, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|