|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.06146281499692686, |
|
"eval_steps": 5, |
|
"global_step": 50, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.001229256299938537, |
|
"eval_loss": 1.8433973789215088, |
|
"eval_runtime": 107.6131, |
|
"eval_samples_per_second": 12.74, |
|
"eval_steps_per_second": 1.598, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0036877688998156115, |
|
"grad_norm": 8.21639347076416, |
|
"learning_rate": 3e-05, |
|
"loss": 1.906, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.006146281499692686, |
|
"eval_loss": 0.9512829184532166, |
|
"eval_runtime": 107.5751, |
|
"eval_samples_per_second": 12.745, |
|
"eval_steps_per_second": 1.599, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.007375537799631223, |
|
"grad_norm": 3.9271481037139893, |
|
"learning_rate": 6e-05, |
|
"loss": 1.1987, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.011063306699446834, |
|
"grad_norm": 2.8276703357696533, |
|
"learning_rate": 9e-05, |
|
"loss": 0.753, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.012292562999385371, |
|
"eval_loss": 0.6514846086502075, |
|
"eval_runtime": 107.8745, |
|
"eval_samples_per_second": 12.709, |
|
"eval_steps_per_second": 1.594, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.014751075599262446, |
|
"grad_norm": 2.486225128173828, |
|
"learning_rate": 9.938441702975689e-05, |
|
"loss": 0.6877, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.01843884449907806, |
|
"grad_norm": 1.9635486602783203, |
|
"learning_rate": 9.619397662556435e-05, |
|
"loss": 0.6047, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.01843884449907806, |
|
"eval_loss": 0.5996317267417908, |
|
"eval_runtime": 107.9179, |
|
"eval_samples_per_second": 12.704, |
|
"eval_steps_per_second": 1.594, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.022126613398893668, |
|
"grad_norm": 2.0274317264556885, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.5949, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.024585125998770743, |
|
"eval_loss": 0.5480629205703735, |
|
"eval_runtime": 108.0826, |
|
"eval_samples_per_second": 12.685, |
|
"eval_steps_per_second": 1.591, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.02581438229870928, |
|
"grad_norm": 1.7041795253753662, |
|
"learning_rate": 8.247240241650918e-05, |
|
"loss": 0.5983, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.02950215119852489, |
|
"grad_norm": 1.4558817148208618, |
|
"learning_rate": 7.269952498697734e-05, |
|
"loss": 0.5055, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.03073140749846343, |
|
"eval_loss": 0.5338066816329956, |
|
"eval_runtime": 107.8606, |
|
"eval_samples_per_second": 12.711, |
|
"eval_steps_per_second": 1.595, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.03318992009834051, |
|
"grad_norm": 1.7881927490234375, |
|
"learning_rate": 6.167226819279528e-05, |
|
"loss": 0.5399, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.03687768899815612, |
|
"grad_norm": 1.5611547231674194, |
|
"learning_rate": 5e-05, |
|
"loss": 0.5698, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.03687768899815612, |
|
"eval_loss": 0.5137801170349121, |
|
"eval_runtime": 107.8291, |
|
"eval_samples_per_second": 12.715, |
|
"eval_steps_per_second": 1.595, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.040565457897971724, |
|
"grad_norm": 1.404949426651001, |
|
"learning_rate": 3.832773180720475e-05, |
|
"loss": 0.4988, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.0430239704978488, |
|
"eval_loss": 0.4986587464809418, |
|
"eval_runtime": 107.8743, |
|
"eval_samples_per_second": 12.709, |
|
"eval_steps_per_second": 1.594, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.044253226797787336, |
|
"grad_norm": 1.4394307136535645, |
|
"learning_rate": 2.7300475013022663e-05, |
|
"loss": 0.539, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.04794099569760295, |
|
"grad_norm": 1.472872018814087, |
|
"learning_rate": 1.7527597583490822e-05, |
|
"loss": 0.4637, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.049170251997541485, |
|
"eval_loss": 0.48103824257850647, |
|
"eval_runtime": 107.9289, |
|
"eval_samples_per_second": 12.703, |
|
"eval_steps_per_second": 1.594, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.05162876459741856, |
|
"grad_norm": 1.4950206279754639, |
|
"learning_rate": 9.549150281252633e-06, |
|
"loss": 0.4697, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.05531653349723417, |
|
"grad_norm": 1.9292529821395874, |
|
"learning_rate": 3.8060233744356633e-06, |
|
"loss": 0.553, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.05531653349723417, |
|
"eval_loss": 0.473427951335907, |
|
"eval_runtime": 107.8864, |
|
"eval_samples_per_second": 12.708, |
|
"eval_steps_per_second": 1.594, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.05900430239704978, |
|
"grad_norm": 1.1889021396636963, |
|
"learning_rate": 6.15582970243117e-07, |
|
"loss": 0.443, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.06146281499692686, |
|
"eval_loss": 0.4718257188796997, |
|
"eval_runtime": 107.867, |
|
"eval_samples_per_second": 12.71, |
|
"eval_steps_per_second": 1.595, |
|
"step": 50 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 50, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 5, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 7.881983448947098e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|