|
{ |
|
"best_metric": 97.5, |
|
"best_model_checkpoint": "outputs/bitfit/t5-base/sst2/checkpoint-3000", |
|
"epoch": 3.0, |
|
"global_step": 6222, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.1, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.04369654133915901, |
|
"eval_runtime": 5.1897, |
|
"eval_samples_per_second": 192.69, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.042765092104673386, |
|
"eval_runtime": 5.6341, |
|
"eval_samples_per_second": 177.492, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00027589199614271937, |
|
"loss": 0.1281, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.037586040794849396, |
|
"eval_runtime": 6.2353, |
|
"eval_samples_per_second": 160.377, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"eval_accuracy": 96.7, |
|
"eval_average_metrics": 96.7, |
|
"eval_loss": 0.04588627442717552, |
|
"eval_runtime": 5.966, |
|
"eval_samples_per_second": 167.617, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.0002517839922854387, |
|
"loss": 0.0649, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.040396977216005325, |
|
"eval_runtime": 5.3919, |
|
"eval_samples_per_second": 185.463, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.03829416632652283, |
|
"eval_runtime": 5.3561, |
|
"eval_samples_per_second": 186.702, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.039076462388038635, |
|
"eval_runtime": 5.9241, |
|
"eval_samples_per_second": 168.803, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00022767598842815813, |
|
"loss": 0.0578, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.04230912774801254, |
|
"eval_runtime": 5.153, |
|
"eval_samples_per_second": 194.06, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.03823951631784439, |
|
"eval_runtime": 5.1279, |
|
"eval_samples_per_second": 195.011, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00020356798457087753, |
|
"loss": 0.0582, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.0395108200609684, |
|
"eval_runtime": 5.8042, |
|
"eval_samples_per_second": 172.29, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.04088559374213219, |
|
"eval_runtime": 5.4894, |
|
"eval_samples_per_second": 182.168, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.038739945739507675, |
|
"eval_runtime": 4.6293, |
|
"eval_samples_per_second": 216.018, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.0001794599807135969, |
|
"loss": 0.054, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.04564524069428444, |
|
"eval_runtime": 5.2048, |
|
"eval_samples_per_second": 192.132, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.03781759738922119, |
|
"eval_runtime": 5.6194, |
|
"eval_samples_per_second": 177.956, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 0.00015535197685631627, |
|
"loss": 0.0533, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"eval_accuracy": 97.5, |
|
"eval_average_metrics": 97.5, |
|
"eval_loss": 0.03714486584067345, |
|
"eval_runtime": 5.328, |
|
"eval_samples_per_second": 187.688, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"eval_accuracy": 97.5, |
|
"eval_average_metrics": 97.5, |
|
"eval_loss": 0.0382937453687191, |
|
"eval_runtime": 4.0581, |
|
"eval_samples_per_second": 246.419, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 1.64, |
|
"eval_accuracy": 97.5, |
|
"eval_average_metrics": 97.5, |
|
"eval_loss": 0.037162039428949356, |
|
"eval_runtime": 5.3134, |
|
"eval_samples_per_second": 188.202, |
|
"step": 3400 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.00013124397299903566, |
|
"loss": 0.0539, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"eval_accuracy": 97.5, |
|
"eval_average_metrics": 97.5, |
|
"eval_loss": 0.03954707458615303, |
|
"eval_runtime": 5.9646, |
|
"eval_samples_per_second": 167.655, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.037706729024648666, |
|
"eval_runtime": 4.5321, |
|
"eval_samples_per_second": 220.649, |
|
"step": 3800 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.00010713596914175504, |
|
"loss": 0.0531, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.03779396042227745, |
|
"eval_runtime": 6.6618, |
|
"eval_samples_per_second": 150.108, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.04000015929341316, |
|
"eval_runtime": 6.7004, |
|
"eval_samples_per_second": 149.245, |
|
"step": 4200 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.0396127812564373, |
|
"eval_runtime": 5.9828, |
|
"eval_samples_per_second": 167.145, |
|
"step": 4400 |
|
}, |
|
{ |
|
"epoch": 2.17, |
|
"learning_rate": 8.302796528447444e-05, |
|
"loss": 0.049, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.0382530614733696, |
|
"eval_runtime": 5.4179, |
|
"eval_samples_per_second": 184.574, |
|
"step": 4600 |
|
}, |
|
{ |
|
"epoch": 2.31, |
|
"eval_accuracy": 97.0, |
|
"eval_average_metrics": 97.0, |
|
"eval_loss": 0.04122977331280708, |
|
"eval_runtime": 4.9766, |
|
"eval_samples_per_second": 200.94, |
|
"step": 4800 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"learning_rate": 5.891996142719383e-05, |
|
"loss": 0.0484, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.03976716473698616, |
|
"eval_runtime": 5.1121, |
|
"eval_samples_per_second": 195.615, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.03887654095888138, |
|
"eval_runtime": 5.3028, |
|
"eval_samples_per_second": 188.578, |
|
"step": 5200 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"eval_accuracy": 97.3, |
|
"eval_average_metrics": 97.3, |
|
"eval_loss": 0.03931749612092972, |
|
"eval_runtime": 6.019, |
|
"eval_samples_per_second": 166.14, |
|
"step": 5400 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 3.481195756991321e-05, |
|
"loss": 0.0478, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.03971054032444954, |
|
"eval_runtime": 5.7951, |
|
"eval_samples_per_second": 172.558, |
|
"step": 5600 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"eval_accuracy": 97.1, |
|
"eval_average_metrics": 97.1, |
|
"eval_loss": 0.04016176983714104, |
|
"eval_runtime": 5.5419, |
|
"eval_samples_per_second": 180.443, |
|
"step": 5800 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 1.0703953712632592e-05, |
|
"loss": 0.0444, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"eval_accuracy": 97.0, |
|
"eval_average_metrics": 97.0, |
|
"eval_loss": 0.04050704091787338, |
|
"eval_runtime": 6.1769, |
|
"eval_samples_per_second": 161.894, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"eval_accuracy": 97.2, |
|
"eval_average_metrics": 97.2, |
|
"eval_loss": 0.04039543867111206, |
|
"eval_runtime": 5.4148, |
|
"eval_samples_per_second": 184.68, |
|
"step": 6200 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 6222, |
|
"total_flos": 1.3280955617597184e+16, |
|
"train_loss": 0.058686515289424354, |
|
"train_runtime": 1966.0928, |
|
"train_samples_per_second": 101.24, |
|
"train_steps_per_second": 3.165 |
|
} |
|
], |
|
"max_steps": 6222, |
|
"num_train_epochs": 3, |
|
"total_flos": 1.3280955617597184e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|