|
{ |
|
"best_metric": 3.880638837814331, |
|
"best_model_checkpoint": "buscuit_wrappers_image_detection/checkpoint-740", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 740, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.19543147208121828, |
|
"eval_loss": 4.442927360534668, |
|
"eval_runtime": 108.6903, |
|
"eval_samples_per_second": 29.0, |
|
"eval_steps_per_second": 3.625, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7385786802030457, |
|
"eval_loss": 4.219130039215088, |
|
"eval_runtime": 108.4785, |
|
"eval_samples_per_second": 29.056, |
|
"eval_steps_per_second": 3.632, |
|
"step": 296 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8911802030456852, |
|
"eval_loss": 4.033923625946045, |
|
"eval_runtime": 108.6113, |
|
"eval_samples_per_second": 29.021, |
|
"eval_steps_per_second": 3.628, |
|
"step": 444 |
|
}, |
|
{ |
|
"epoch": 3.38, |
|
"grad_norm": 1.740444302558899, |
|
"learning_rate": 3.4782608695652175e-06, |
|
"loss": 4.2571, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9216370558375635, |
|
"eval_loss": 3.919619560241699, |
|
"eval_runtime": 108.434, |
|
"eval_samples_per_second": 29.068, |
|
"eval_steps_per_second": 3.634, |
|
"step": 592 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.930520304568528, |
|
"eval_loss": 3.880638837814331, |
|
"eval_runtime": 108.0954, |
|
"eval_samples_per_second": 29.159, |
|
"eval_steps_per_second": 3.645, |
|
"step": 740 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 740, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 1.832760491724288e+18, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|