xuancoblab2023's picture
Training in progress, epoch 1
52ee2d1 verified
raw
history blame
3.5 kB
{
"best_metric": 0.6521328506217535,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-4/checkpoint-1588",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 7940,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.15466690063476562,
"learning_rate": 0.00028711293555461854,
"loss": 0.047,
"step": 1588
},
{
"epoch": 1.0,
"eval_accuracy": 0.6521328506217535,
"eval_f1": 0.006741573033707866,
"eval_loss": 0.043082475662231445,
"eval_mcc": -0.07334683954324206,
"eval_precision": 0.06976744186046512,
"eval_recall": 0.0035419126328217238,
"eval_runtime": 23.3677,
"eval_samples_per_second": 543.742,
"eval_steps_per_second": 17.032,
"step": 1588
},
{
"epoch": 2.0,
"grad_norm": 0.2909219563007355,
"learning_rate": 0.0002153347016659639,
"loss": 0.0437,
"step": 3176
},
{
"epoch": 2.0,
"eval_accuracy": 0.6499291673225248,
"eval_f1": 0.010676156583629894,
"eval_loss": 0.04202444478869438,
"eval_mcc": -0.07414646393220078,
"eval_precision": 0.09195402298850575,
"eval_recall": 0.005667060212514758,
"eval_runtime": 23.3008,
"eval_samples_per_second": 545.304,
"eval_steps_per_second": 17.081,
"step": 3176
},
{
"epoch": 3.0,
"grad_norm": 0.4530297815799713,
"learning_rate": 0.00014355646777730927,
"loss": 0.0429,
"step": 4764
},
{
"epoch": 3.0,
"eval_accuracy": 0.6510310089721392,
"eval_f1": 0.007165248544558891,
"eval_loss": 0.04164046049118042,
"eval_mcc": -0.07622110191236336,
"eval_precision": 0.06926406926406926,
"eval_recall": 0.0037780401416765055,
"eval_runtime": 23.5928,
"eval_samples_per_second": 538.553,
"eval_steps_per_second": 16.87,
"step": 4764
},
{
"epoch": 4.0,
"grad_norm": 0.12990067899227142,
"learning_rate": 7.177823388865464e-05,
"loss": 0.0424,
"step": 6352
},
{
"epoch": 4.0,
"eval_accuracy": 0.651188414922084,
"eval_f1": 0.006723442402510086,
"eval_loss": 0.041306350380182266,
"eval_mcc": -0.0764573922901941,
"eval_precision": 0.06607929515418502,
"eval_recall": 0.0035419126328217238,
"eval_runtime": 23.6051,
"eval_samples_per_second": 538.273,
"eval_steps_per_second": 16.861,
"step": 6352
},
{
"epoch": 5.0,
"grad_norm": 0.14243847131729126,
"learning_rate": 0.0,
"loss": 0.042,
"step": 7940
},
{
"epoch": 5.0,
"eval_accuracy": 0.6503226821973871,
"eval_f1": 0.010247271107150813,
"eval_loss": 0.04123334959149361,
"eval_mcc": -0.0735498736578602,
"eval_precision": 0.09055118110236221,
"eval_recall": 0.005430932703659976,
"eval_runtime": 23.3153,
"eval_samples_per_second": 544.964,
"eval_steps_per_second": 17.07,
"step": 7940
}
],
"logging_steps": 500,
"max_steps": 7940,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 19544470381500.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.05479484259344969,
"learning_rate": 0.0003588911694432732,
"num_train_epochs": 5,
"temperature": 13
}
}