| { | |
| "best_global_step": 1548, | |
| "best_metric": 0.023793132975697517, | |
| "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": 10.552935600280762, | |
| "learning_rate": 0.00013991989319092122, | |
| "loss": 0.6623, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9349820180223866, | |
| "eval_loss": 0.21081215143203735, | |
| "eval_model_preparation_time": 0.0023, | |
| "eval_runtime": 329.2887, | |
| "eval_samples_per_second": 75.153, | |
| "eval_steps_per_second": 9.396, | |
| "step": 774 | |
| }, | |
| { | |
| "epoch": 1.2919896640826873, | |
| "grad_norm": 2.3672032356262207, | |
| "learning_rate": 7.316421895861149e-05, | |
| "loss": 0.2013, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.937984496124031, | |
| "grad_norm": 0.24311719834804535, | |
| "learning_rate": 6.408544726301736e-06, | |
| "loss": 0.0687, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9919182123085627, | |
| "eval_loss": 0.023793132975697517, | |
| "eval_model_preparation_time": 0.0023, | |
| "eval_runtime": 328.7926, | |
| "eval_samples_per_second": 75.266, | |
| "eval_steps_per_second": 9.41, | |
| "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": 4.146528897531482e+18, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |