|
{ |
|
"best_metric": 2.5123291015625, |
|
"best_model_checkpoint": "cat_breed_image_detection/checkpoint-3811", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 3811, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 2.980210304260254, |
|
"learning_rate": 2.641052911459718e-07, |
|
"loss": 2.5248, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"grad_norm": 2.637603282928467, |
|
"learning_rate": 2.2422228130816273e-07, |
|
"loss": 2.4992, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"grad_norm": 2.8118417263031006, |
|
"learning_rate": 1.8433927147035363e-07, |
|
"loss": 2.4915, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"grad_norm": 3.189683437347412, |
|
"learning_rate": 1.444562616325445e-07, |
|
"loss": 2.4989, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"grad_norm": 2.384906768798828, |
|
"learning_rate": 1.0457325179473543e-07, |
|
"loss": 2.4949, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"grad_norm": 3.004359006881714, |
|
"learning_rate": 6.469024195692635e-08, |
|
"loss": 2.4943, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"grad_norm": 2.5521860122680664, |
|
"learning_rate": 2.4807232119117254e-08, |
|
"loss": 2.4874, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.41788455860643636, |
|
"eval_loss": 2.5123291015625, |
|
"eval_runtime": 307.8834, |
|
"eval_samples_per_second": 88.007, |
|
"eval_steps_per_second": 2.751, |
|
"step": 3811 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3811, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 500, |
|
"total_flos": 1.8905297684573454e+19, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|