|
{ |
|
"best_global_step": 1548, |
|
"best_metric": 0.028825150802731514, |
|
"best_model_checkpoint": "siglip2-finetune-full/checkpoint-1548", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1548, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.6459948320413437, |
|
"grad_norm": 1.310089111328125, |
|
"learning_rate": 0.00013991989319092122, |
|
"loss": 0.5537, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.9111407443326464, |
|
"eval_loss": 0.28554126620292664, |
|
"eval_model_preparation_time": 0.0022, |
|
"eval_runtime": 320.8872, |
|
"eval_samples_per_second": 77.121, |
|
"eval_steps_per_second": 9.642, |
|
"step": 774 |
|
}, |
|
{ |
|
"epoch": 1.2919896640826873, |
|
"grad_norm": 1.1912801265716553, |
|
"learning_rate": 7.316421895861149e-05, |
|
"loss": 0.1901, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.937984496124031, |
|
"grad_norm": 2.1367239952087402, |
|
"learning_rate": 6.408544726301736e-06, |
|
"loss": 0.0761, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9912312603547905, |
|
"eval_loss": 0.028825150802731514, |
|
"eval_model_preparation_time": 0.0022, |
|
"eval_runtime": 319.9983, |
|
"eval_samples_per_second": 77.335, |
|
"eval_steps_per_second": 9.669, |
|
"step": 1548 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1548, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 4.1455663870514504e+18, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|