xuancoblab2023's picture
Training in progress, epoch 1
e2e8898 verified
raw
history blame
2.65 kB
{
"best_metric": 0.538160469667319,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-384",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 384,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.40490686893463135,
"learning_rate": 1.4953262133881219e-05,
"loss": 0.1703,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.5,
"eval_f1": 0.0,
"eval_loss": 0.11485283076763153,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 25.7126,
"eval_samples_per_second": 39.747,
"eval_steps_per_second": 1.245,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 0.2503454089164734,
"learning_rate": 1.2817081829041045e-05,
"loss": 0.1095,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.5,
"eval_f1": 0.0038986354775828462,
"eval_loss": 0.0978715717792511,
"eval_precision": 0.5,
"eval_recall": 0.0019569471624266144,
"eval_runtime": 25.921,
"eval_samples_per_second": 39.427,
"eval_steps_per_second": 1.235,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 0.29292032122612,
"learning_rate": 1.0680901524200872e-05,
"loss": 0.0978,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.5352250489236791,
"eval_f1": 0.18244406196213422,
"eval_loss": 0.0902138277888298,
"eval_precision": 0.7571428571428571,
"eval_recall": 0.10371819960861056,
"eval_runtime": 25.3689,
"eval_samples_per_second": 40.286,
"eval_steps_per_second": 1.261,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 0.24781617522239685,
"learning_rate": 8.544721219360697e-06,
"loss": 0.0933,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.538160469667319,
"eval_f1": 0.1945392491467577,
"eval_loss": 0.08735258132219315,
"eval_precision": 0.76,
"eval_recall": 0.11154598825831702,
"eval_runtime": 25.5717,
"eval_samples_per_second": 39.966,
"eval_steps_per_second": 1.251,
"step": 384
}
],
"logging_steps": 500,
"max_steps": 768,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"total_flos": 942780789120.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.09656764013507046,
"learning_rate": 1.7089442438721394e-05,
"num_train_epochs": 8,
"temperature": 20
}
}