|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.019062748212867357, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0006354249404289118, |
|
"eval_loss": 2.0787065029144287, |
|
"eval_runtime": 45.6753, |
|
"eval_samples_per_second": 14.516, |
|
"eval_steps_per_second": 7.269, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0019062748212867356, |
|
"grad_norm": 1.3591597080230713, |
|
"learning_rate": 4e-05, |
|
"loss": 2.0204, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.003177124702144559, |
|
"eval_loss": 1.9998044967651367, |
|
"eval_runtime": 46.1079, |
|
"eval_samples_per_second": 14.379, |
|
"eval_steps_per_second": 7.201, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.003812549642573471, |
|
"grad_norm": 1.6216338872909546, |
|
"learning_rate": 8e-05, |
|
"loss": 1.9456, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.005718824463860206, |
|
"grad_norm": 1.2791810035705566, |
|
"learning_rate": 0.00012, |
|
"loss": 1.7605, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.006354249404289118, |
|
"eval_loss": 1.532446026802063, |
|
"eval_runtime": 46.267, |
|
"eval_samples_per_second": 14.33, |
|
"eval_steps_per_second": 7.176, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.007625099285146942, |
|
"grad_norm": 1.1944502592086792, |
|
"learning_rate": 0.00016, |
|
"loss": 1.5884, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.009531374106433678, |
|
"grad_norm": 1.2674814462661743, |
|
"learning_rate": 0.0002, |
|
"loss": 1.3116, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.009531374106433678, |
|
"eval_loss": 1.3473174571990967, |
|
"eval_runtime": 46.3179, |
|
"eval_samples_per_second": 14.314, |
|
"eval_steps_per_second": 7.168, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.011437648927720413, |
|
"grad_norm": 1.0547869205474854, |
|
"learning_rate": 0.00018090169943749476, |
|
"loss": 1.2018, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.012708498808578236, |
|
"eval_loss": 1.188161849975586, |
|
"eval_runtime": 46.328, |
|
"eval_samples_per_second": 14.311, |
|
"eval_steps_per_second": 7.166, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.013343923749007149, |
|
"grad_norm": 0.924247145652771, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 1.1364, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.015250198570293885, |
|
"grad_norm": 0.8752704858779907, |
|
"learning_rate": 6.909830056250527e-05, |
|
"loss": 1.0043, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.015885623510722795, |
|
"eval_loss": 1.125961422920227, |
|
"eval_runtime": 46.3271, |
|
"eval_samples_per_second": 14.311, |
|
"eval_steps_per_second": 7.166, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.01715647339158062, |
|
"grad_norm": 0.8125863671302795, |
|
"learning_rate": 1.9098300562505266e-05, |
|
"loss": 1.0368, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.019062748212867357, |
|
"grad_norm": 0.8220617175102234, |
|
"learning_rate": 0.0, |
|
"loss": 1.0301, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.019062748212867357, |
|
"eval_loss": 1.1136105060577393, |
|
"eval_runtime": 46.3216, |
|
"eval_samples_per_second": 14.313, |
|
"eval_steps_per_second": 7.167, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 15, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 5628994623897600.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|