xuancoblab2023's picture
Training in progress, epoch 5
67f74be verified
raw
history blame
3.48 kB
{
"best_metric": 0.9009305932531989,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-41/checkpoint-3225",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 3225,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.1879228353500366,
"learning_rate": 0.0001500473390748166,
"loss": 0.31,
"step": 645
},
{
"epoch": 1.0,
"eval_accuracy": 0.8937572702597906,
"eval_f1": 0.1189710610932476,
"eval_loss": 0.288364440202713,
"eval_mcc": 0.19117679563293483,
"eval_precision": 0.6981132075471698,
"eval_recall": 0.06502636203866433,
"eval_runtime": 9.9344,
"eval_samples_per_second": 519.205,
"eval_steps_per_second": 16.307,
"step": 645
},
{
"epoch": 2.0,
"grad_norm": 0.5299654006958008,
"learning_rate": 0.00012861200492127138,
"loss": 0.2852,
"step": 1290
},
{
"epoch": 2.0,
"eval_accuracy": 0.8978286157425359,
"eval_f1": 0.20030349013657056,
"eval_loss": 0.2860374450683594,
"eval_mcc": 0.2650150871029742,
"eval_precision": 0.7333333333333333,
"eval_recall": 0.11599297012302284,
"eval_runtime": 9.9216,
"eval_samples_per_second": 519.878,
"eval_steps_per_second": 16.328,
"step": 1290
},
{
"epoch": 3.0,
"grad_norm": 0.777714729309082,
"learning_rate": 0.00010717667076772616,
"loss": 0.2784,
"step": 1935
},
{
"epoch": 3.0,
"eval_accuracy": 0.8984102365257852,
"eval_f1": 0.19384615384615386,
"eval_loss": 0.27609962224960327,
"eval_mcc": 0.26911180968873705,
"eval_precision": 0.7777777777777778,
"eval_recall": 0.11072056239015818,
"eval_runtime": 9.9163,
"eval_samples_per_second": 520.153,
"eval_steps_per_second": 16.337,
"step": 1935
},
{
"epoch": 4.0,
"grad_norm": 1.847649097442627,
"learning_rate": 8.574133661418092e-05,
"loss": 0.2737,
"step": 2580
},
{
"epoch": 4.0,
"eval_accuracy": 0.9001550988755331,
"eval_f1": 0.31057563587684067,
"eval_loss": 0.27698394656181335,
"eval_mcc": 0.3267057277830052,
"eval_precision": 0.651685393258427,
"eval_recall": 0.2038664323374341,
"eval_runtime": 9.9379,
"eval_samples_per_second": 519.024,
"eval_steps_per_second": 16.301,
"step": 2580
},
{
"epoch": 5.0,
"grad_norm": 1.6004267930984497,
"learning_rate": 6.430600246063569e-05,
"loss": 0.2705,
"step": 3225
},
{
"epoch": 5.0,
"eval_accuracy": 0.9009305932531989,
"eval_f1": 0.328515111695138,
"eval_loss": 0.2716519832611084,
"eval_mcc": 0.33938446824512,
"eval_precision": 0.6510416666666666,
"eval_recall": 0.21968365553602812,
"eval_runtime": 9.9296,
"eval_samples_per_second": 519.457,
"eval_steps_per_second": 16.315,
"step": 3225
}
],
"logging_steps": 500,
"max_steps": 5160,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"total_flos": 7934712663000.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.886564686264361,
"learning_rate": 0.00017148267322836185,
"num_train_epochs": 8,
"temperature": 15
}
}