|
{ |
|
"best_metric": 0.61, |
|
"best_model_checkpoint": "distilhubert-finetuned-gtzan/checkpoint-113", |
|
"epoch": 2.991150442477876, |
|
"eval_steps": 500, |
|
"global_step": 169, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 4.464285714285714e-05, |
|
"loss": 2.2976, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 8.928571428571429e-05, |
|
"loss": 2.2855, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.00013392857142857144, |
|
"loss": 2.2307, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.00017857142857142857, |
|
"loss": 2.1327, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.00022321428571428573, |
|
"loss": 2.0339, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.00026785714285714287, |
|
"loss": 1.9633, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0003125, |
|
"loss": 1.8021, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.00035714285714285714, |
|
"loss": 1.6938, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.00040178571428571433, |
|
"loss": 1.5271, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00044642857142857147, |
|
"loss": 1.4038, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.0004910714285714286, |
|
"loss": 1.496, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_accuracy": 0.27, |
|
"eval_loss": 1.8467493057250977, |
|
"eval_runtime": 72.5718, |
|
"eval_samples_per_second": 1.378, |
|
"eval_steps_per_second": 0.179, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.000496031746031746, |
|
"loss": 1.3528, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.0004910714285714286, |
|
"loss": 1.507, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.0004861111111111111, |
|
"loss": 1.504, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0004811507936507937, |
|
"loss": 1.3719, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.0004761904761904762, |
|
"loss": 1.2284, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00047123015873015874, |
|
"loss": 1.2997, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0004662698412698413, |
|
"loss": 1.2284, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.00046130952380952383, |
|
"loss": 1.3332, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0004563492063492063, |
|
"loss": 1.1091, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"learning_rate": 0.0004513888888888889, |
|
"loss": 1.1335, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.00044642857142857147, |
|
"loss": 1.1313, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.61, |
|
"eval_loss": 1.175675868988037, |
|
"eval_runtime": 71.9077, |
|
"eval_samples_per_second": 1.391, |
|
"eval_steps_per_second": 0.181, |
|
"step": 113 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00044146825396825396, |
|
"loss": 1.1765, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 0.0004365079365079365, |
|
"loss": 1.0945, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 2.21, |
|
"learning_rate": 0.00043154761904761905, |
|
"loss": 0.9198, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 0.0004265873015873016, |
|
"loss": 1.1504, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"learning_rate": 0.00042162698412698415, |
|
"loss": 1.03, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"learning_rate": 0.0004166666666666667, |
|
"loss": 1.294, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 0.0004117063492063492, |
|
"loss": 0.918, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 0.00040674603174603173, |
|
"loss": 0.9529, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 0.00040178571428571433, |
|
"loss": 0.9366, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"learning_rate": 0.0003968253968253968, |
|
"loss": 0.9388, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 0.00039186507936507937, |
|
"loss": 1.2432, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 1.3774330615997314, |
|
"eval_runtime": 72.0805, |
|
"eval_samples_per_second": 1.387, |
|
"eval_steps_per_second": 0.18, |
|
"step": 169 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 560, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 1.8401964823872e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|