|
{ |
|
"best_metric": 0.9285714285714286, |
|
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-225", |
|
"epoch": 3.25, |
|
"global_step": 300, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 2.3532, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 2.3027, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 5e-05, |
|
"loss": 2.2167, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 4.814814814814815e-05, |
|
"loss": 2.019, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 4.62962962962963e-05, |
|
"loss": 2.0514, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 1.7294, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 4.259259259259259e-05, |
|
"loss": 1.6613, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"eval_accuracy": 0.5285714285714286, |
|
"eval_loss": 1.3506253957748413, |
|
"eval_runtime": 6.0005, |
|
"eval_samples_per_second": 11.666, |
|
"eval_steps_per_second": 3.0, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 4.074074074074074e-05, |
|
"loss": 1.2301, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 3.888888888888889e-05, |
|
"loss": 0.9771, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 1.0313, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 3.518518518518519e-05, |
|
"loss": 0.6111, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 1.0471, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 3.148148148148148e-05, |
|
"loss": 0.8325, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 2.962962962962963e-05, |
|
"loss": 0.8005, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 0.4175, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"eval_accuracy": 0.7285714285714285, |
|
"eval_loss": 0.5572353601455688, |
|
"eval_runtime": 5.7245, |
|
"eval_samples_per_second": 12.228, |
|
"eval_steps_per_second": 3.144, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"learning_rate": 2.5925925925925925e-05, |
|
"loss": 0.5881, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.07, |
|
"learning_rate": 2.4074074074074074e-05, |
|
"loss": 0.402, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 0.2738, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 2.037037037037037e-05, |
|
"loss": 0.3433, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 2.17, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 0.4863, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 0.2916, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"learning_rate": 1.4814814814814815e-05, |
|
"loss": 0.3592, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"eval_accuracy": 0.9285714285714286, |
|
"eval_loss": 0.24635276198387146, |
|
"eval_runtime": 5.6321, |
|
"eval_samples_per_second": 12.429, |
|
"eval_steps_per_second": 3.196, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 3.02, |
|
"learning_rate": 1.2962962962962962e-05, |
|
"loss": 0.2532, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 3.05, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.3399, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 9.259259259259259e-06, |
|
"loss": 0.1234, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 7.4074074074074075e-06, |
|
"loss": 0.2255, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 5.555555555555556e-06, |
|
"loss": 0.2442, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 3.7037037037037037e-06, |
|
"loss": 0.087, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 1.8518518518518519e-06, |
|
"loss": 0.1592, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"learning_rate": 0.0, |
|
"loss": 0.1935, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"eval_accuracy": 0.9, |
|
"eval_loss": 0.260299414396286, |
|
"eval_runtime": 6.0335, |
|
"eval_samples_per_second": 11.602, |
|
"eval_steps_per_second": 2.983, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"step": 300, |
|
"total_flos": 1.495384188125184e+18, |
|
"train_loss": 0.8550392069419225, |
|
"train_runtime": 221.509, |
|
"train_samples_per_second": 5.417, |
|
"train_steps_per_second": 1.354 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"eval_accuracy": 0.8387096774193549, |
|
"eval_loss": 0.4286609888076782, |
|
"eval_runtime": 13.9577, |
|
"eval_samples_per_second": 11.105, |
|
"eval_steps_per_second": 2.794, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"eval_accuracy": 0.8387096774193549, |
|
"eval_loss": 0.4286610186100006, |
|
"eval_runtime": 12.6984, |
|
"eval_samples_per_second": 12.206, |
|
"eval_steps_per_second": 3.071, |
|
"step": 300 |
|
} |
|
], |
|
"max_steps": 300, |
|
"num_train_epochs": 9223372036854775807, |
|
"total_flos": 1.495384188125184e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|