xuancoblab2023's picture
Training in progress, epoch 1
f9d3f0f verified
raw
history blame
4.3 kB
{
"best_metric": 0.8326810176125244,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-32/checkpoint-672",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 672,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.7263739109039307,
"learning_rate": 0.00011867778606566929,
"loss": 0.5622,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7710371819960861,
"eval_f1": 0.8006814310051107,
"eval_loss": 0.4762067198753357,
"eval_precision": 0.7088989441930619,
"eval_recall": 0.9197651663405088,
"eval_runtime": 25.5548,
"eval_samples_per_second": 39.993,
"eval_steps_per_second": 1.252,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 1.8613439798355103,
"learning_rate": 0.00010384306280746064,
"loss": 0.4724,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.8072407045009785,
"eval_f1": 0.8273444347063978,
"eval_loss": 0.43931350111961365,
"eval_precision": 0.7492063492063492,
"eval_recall": 0.923679060665362,
"eval_runtime": 25.0105,
"eval_samples_per_second": 40.863,
"eval_steps_per_second": 1.279,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 2.853325366973877,
"learning_rate": 8.900833954925197e-05,
"loss": 0.4412,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.8258317025440313,
"eval_f1": 0.8363970588235294,
"eval_loss": 0.42110058665275574,
"eval_precision": 0.7885615251299827,
"eval_recall": 0.8904109589041096,
"eval_runtime": 25.7114,
"eval_samples_per_second": 39.749,
"eval_steps_per_second": 1.245,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 5.9698286056518555,
"learning_rate": 7.417361629104331e-05,
"loss": 0.4294,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.8160469667318982,
"eval_f1": 0.8192307692307692,
"eval_loss": 0.41999757289886475,
"eval_precision": 0.8052930056710775,
"eval_recall": 0.8336594911937377,
"eval_runtime": 25.0795,
"eval_samples_per_second": 40.75,
"eval_steps_per_second": 1.276,
"step": 384
},
{
"epoch": 5.0,
"grad_norm": 1.9139764308929443,
"learning_rate": 5.9338893032834646e-05,
"loss": 0.4153,
"step": 480
},
{
"epoch": 5.0,
"eval_accuracy": 0.8297455968688845,
"eval_f1": 0.843806104129264,
"eval_loss": 0.4074234664440155,
"eval_precision": 0.7794361525704809,
"eval_recall": 0.9197651663405088,
"eval_runtime": 25.2807,
"eval_samples_per_second": 40.426,
"eval_steps_per_second": 1.266,
"step": 480
},
{
"epoch": 6.0,
"grad_norm": 3.3249385356903076,
"learning_rate": 4.4504169774625984e-05,
"loss": 0.4067,
"step": 576
},
{
"epoch": 6.0,
"eval_accuracy": 0.824853228962818,
"eval_f1": 0.8397493285586393,
"eval_loss": 0.4091223180294037,
"eval_precision": 0.7739273927392739,
"eval_recall": 0.9178082191780822,
"eval_runtime": 25.2618,
"eval_samples_per_second": 40.456,
"eval_steps_per_second": 1.267,
"step": 576
},
{
"epoch": 7.0,
"grad_norm": 2.5627498626708984,
"learning_rate": 2.9669446516417323e-05,
"loss": 0.3993,
"step": 672
},
{
"epoch": 7.0,
"eval_accuracy": 0.8326810176125244,
"eval_f1": 0.848,
"eval_loss": 0.4094063341617584,
"eval_precision": 0.7768729641693811,
"eval_recall": 0.9334637964774951,
"eval_runtime": 26.0578,
"eval_samples_per_second": 39.221,
"eval_steps_per_second": 1.228,
"step": 672
}
],
"logging_steps": 500,
"max_steps": 864,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 1649866380960.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.8475925399213161,
"learning_rate": 0.00013351250932387796,
"num_train_epochs": 9,
"temperature": 10
}
}