xuancoblab2023's picture
Training in progress, epoch 1
5f2c3bc verified
raw
history blame
4.83 kB
{
"best_metric": 0.8228962818003914,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-768",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 768,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.8004393577575684,
"learning_rate": 0.0007697157586205755,
"loss": 0.4935,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7436399217221135,
"eval_f1": 0.7689594356261024,
"eval_loss": 0.448881596326828,
"eval_precision": 0.6998394863563403,
"eval_recall": 0.8532289628180039,
"eval_runtime": 28.6476,
"eval_samples_per_second": 35.675,
"eval_steps_per_second": 1.117,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 4.9879961013793945,
"learning_rate": 0.0006841917854405115,
"loss": 0.4571,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.7896281800391389,
"eval_f1": 0.8057813911472448,
"eval_loss": 0.42557916045188904,
"eval_precision": 0.7483221476510067,
"eval_recall": 0.87279843444227,
"eval_runtime": 28.772,
"eval_samples_per_second": 35.521,
"eval_steps_per_second": 1.112,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 3.279979705810547,
"learning_rate": 0.0005986678122604475,
"loss": 0.4337,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.7945205479452054,
"eval_f1": 0.8059149722735675,
"eval_loss": 0.4328659176826477,
"eval_precision": 0.7635726795096323,
"eval_recall": 0.8532289628180039,
"eval_runtime": 28.2776,
"eval_samples_per_second": 36.142,
"eval_steps_per_second": 1.132,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 2.231189727783203,
"learning_rate": 0.0005131438390803836,
"loss": 0.4235,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.7690802348336595,
"eval_f1": 0.7704280155642023,
"eval_loss": 0.45082738995552063,
"eval_precision": 0.7659574468085106,
"eval_recall": 0.7749510763209393,
"eval_runtime": 29.4798,
"eval_samples_per_second": 34.668,
"eval_steps_per_second": 1.085,
"step": 384
},
{
"epoch": 5.0,
"grad_norm": 0.6898621320724487,
"learning_rate": 0.00042761986590031967,
"loss": 0.4136,
"step": 480
},
{
"epoch": 5.0,
"eval_accuracy": 0.8033268101761253,
"eval_f1": 0.814404432132964,
"eval_loss": 0.41852009296417236,
"eval_precision": 0.7709790209790209,
"eval_recall": 0.863013698630137,
"eval_runtime": 29.6952,
"eval_samples_per_second": 34.416,
"eval_steps_per_second": 1.078,
"step": 480
},
{
"epoch": 6.0,
"grad_norm": 1.360769510269165,
"learning_rate": 0.00034209589272025573,
"loss": 0.405,
"step": 576
},
{
"epoch": 6.0,
"eval_accuracy": 0.8043052837573386,
"eval_f1": 0.8204667863554758,
"eval_loss": 0.4140284061431885,
"eval_precision": 0.75787728026534,
"eval_recall": 0.8943248532289628,
"eval_runtime": 28.8106,
"eval_samples_per_second": 35.473,
"eval_steps_per_second": 1.111,
"step": 576
},
{
"epoch": 7.0,
"grad_norm": 1.9378271102905273,
"learning_rate": 0.0002565719195401918,
"loss": 0.3961,
"step": 672
},
{
"epoch": 7.0,
"eval_accuracy": 0.815068493150685,
"eval_f1": 0.8301886792452831,
"eval_loss": 0.4103885591030121,
"eval_precision": 0.7674418604651163,
"eval_recall": 0.9041095890410958,
"eval_runtime": 29.2823,
"eval_samples_per_second": 34.902,
"eval_steps_per_second": 1.093,
"step": 672
},
{
"epoch": 8.0,
"grad_norm": 1.5738866329193115,
"learning_rate": 0.00017104794636012787,
"loss": 0.3931,
"step": 768
},
{
"epoch": 8.0,
"eval_accuracy": 0.8228962818003914,
"eval_f1": 0.8340971585701191,
"eval_loss": 0.39944925904273987,
"eval_precision": 0.7844827586206896,
"eval_recall": 0.8904109589041096,
"eval_runtime": 29.1614,
"eval_samples_per_second": 35.046,
"eval_steps_per_second": 1.097,
"step": 768
}
],
"logging_steps": 500,
"max_steps": 960,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1885561578240.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.735211359802956,
"learning_rate": 0.0008552397318006393,
"num_train_epochs": 10,
"temperature": 25
}
}