xuancoblab2023's picture
Training in progress, epoch 1
45571de verified
raw
history blame
2.74 kB
{
"best_metric": 0.824853228962818,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-47/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": 1.9338581562042236,
"learning_rate": 0.0001802406049279757,
"loss": 0.5354,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7671232876712328,
"eval_f1": 0.8023255813953489,
"eval_loss": 0.4617577791213989,
"eval_precision": 0.696969696969697,
"eval_recall": 0.9452054794520548,
"eval_runtime": 29.4455,
"eval_samples_per_second": 34.708,
"eval_steps_per_second": 1.087,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 2.99806547164917,
"learning_rate": 0.00015771052931197875,
"loss": 0.4503,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.8043052837573386,
"eval_f1": 0.8242530755711774,
"eval_loss": 0.42502960562705994,
"eval_precision": 0.748006379585327,
"eval_recall": 0.9178082191780822,
"eval_runtime": 28.5574,
"eval_samples_per_second": 35.788,
"eval_steps_per_second": 1.121,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 2.956643581390381,
"learning_rate": 0.00013518045369598176,
"loss": 0.4243,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.8238747553816047,
"eval_f1": 0.8351648351648352,
"eval_loss": 0.4111813008785248,
"eval_precision": 0.7848537005163512,
"eval_recall": 0.8923679060665362,
"eval_runtime": 27.7197,
"eval_samples_per_second": 36.869,
"eval_steps_per_second": 1.154,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 3.8551297187805176,
"learning_rate": 0.00011265037807998481,
"loss": 0.409,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.824853228962818,
"eval_f1": 0.8306527909176915,
"eval_loss": 0.40299269556999207,
"eval_precision": 0.8040293040293041,
"eval_recall": 0.8590998043052838,
"eval_runtime": 27.9157,
"eval_samples_per_second": 36.61,
"eval_steps_per_second": 1.146,
"step": 384
}
],
"logging_steps": 500,
"max_steps": 864,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 942780789120.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.8114321139277666,
"learning_rate": 0.00020277068054397267,
"num_train_epochs": 9,
"temperature": 7
}
}