|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.1446540880503147, |
|
"eval_steps": 500, |
|
"global_step": 1000, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6741935483870968, |
|
"eval_loss": 0.28739064931869507, |
|
"eval_runtime": 5.7413, |
|
"eval_samples_per_second": 539.95, |
|
"eval_steps_per_second": 11.322, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.4601, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8464516129032258, |
|
"eval_loss": 0.11687513440847397, |
|
"eval_runtime": 5.8927, |
|
"eval_samples_per_second": 526.074, |
|
"eval_steps_per_second": 11.031, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8925806451612903, |
|
"eval_loss": 0.06558599323034286, |
|
"eval_runtime": 5.7291, |
|
"eval_samples_per_second": 541.094, |
|
"eval_steps_per_second": 11.346, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1366, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 461297311410264.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8775428700427587, |
|
"num_train_epochs": 9, |
|
"temperature": 3 |
|
} |
|
} |
|
|