| { |
| "best_global_step": 2198, |
| "best_metric": 1.0199397802352905, |
| "best_model_checkpoint": "siglip2-finetune-full/checkpoint-2198", |
| "epoch": 1.0, |
| "eval_steps": 500, |
| "global_step": 2198, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.22747952684258416, |
| "grad_norm": 30.234283447265625, |
| "learning_rate": 1.7929130234698574e-06, |
| "loss": 1.2741, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.4549590536851683, |
| "grad_norm": 22.959794998168945, |
| "learning_rate": 1.5628163828808099e-06, |
| "loss": 1.1086, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.6824385805277525, |
| "grad_norm": 22.508281707763672, |
| "learning_rate": 1.3327197422917624e-06, |
| "loss": 1.0646, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.9099181073703366, |
| "grad_norm": 23.277908325195312, |
| "learning_rate": 1.102623101702715e-06, |
| "loss": 1.0494, |
| "step": 2000 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.5876782642078173, |
| "eval_loss": 1.0199397802352905, |
| "eval_model_preparation_time": 0.0025, |
| "eval_runtime": 1231.0032, |
| "eval_samples_per_second": 57.133, |
| "eval_steps_per_second": 7.142, |
| "step": 2198 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 4396, |
| "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": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 5.890852013733292e+18, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
