xuancoblab2023's picture
Training in progress, epoch 1
7520174 verified
raw
history blame
4.58 kB
{
"best_metric": 0.8209393346379648,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-12/checkpoint-768",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 1344,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.9969735741615295,
"learning_rate": 0.0003519988357465585,
"loss": 0.4838,
"step": 192
},
{
"epoch": 1.0,
"eval_accuracy": 0.7915851272015656,
"eval_f1": 0.8149435273675064,
"eval_loss": 0.4351368844509125,
"eval_mcc": 0.6026908465743466,
"eval_precision": 0.7328125,
"eval_recall": 0.9178082191780822,
"eval_runtime": 66.7179,
"eval_samples_per_second": 15.318,
"eval_steps_per_second": 0.48,
"step": 192
},
{
"epoch": 2.0,
"grad_norm": 9.071135520935059,
"learning_rate": 0.0002933323631221321,
"loss": 0.435,
"step": 384
},
{
"epoch": 2.0,
"eval_accuracy": 0.7954990215264188,
"eval_f1": 0.7956989247311829,
"eval_loss": 0.42000794410705566,
"eval_mcc": 0.5909991747116098,
"eval_precision": 0.794921875,
"eval_recall": 0.7964774951076321,
"eval_runtime": 66.4436,
"eval_samples_per_second": 15.381,
"eval_steps_per_second": 0.482,
"step": 384
},
{
"epoch": 3.0,
"grad_norm": 3.5558242797851562,
"learning_rate": 0.00023466589049770566,
"loss": 0.4107,
"step": 576
},
{
"epoch": 3.0,
"eval_accuracy": 0.8101761252446184,
"eval_f1": 0.8255395683453237,
"eval_loss": 0.4215203523635864,
"eval_mcc": 0.6302037430382941,
"eval_precision": 0.7637271214642263,
"eval_recall": 0.898238747553816,
"eval_runtime": 66.249,
"eval_samples_per_second": 15.427,
"eval_steps_per_second": 0.483,
"step": 576
},
{
"epoch": 4.0,
"grad_norm": 3.956291437149048,
"learning_rate": 0.00017599941787327925,
"loss": 0.4095,
"step": 768
},
{
"epoch": 4.0,
"eval_accuracy": 0.8209393346379648,
"eval_f1": 0.8271954674220963,
"eval_loss": 0.4081785976886749,
"eval_mcc": 0.6435679288765915,
"eval_precision": 0.7992700729927007,
"eval_recall": 0.8571428571428571,
"eval_runtime": 66.2882,
"eval_samples_per_second": 15.418,
"eval_steps_per_second": 0.483,
"step": 768
},
{
"epoch": 5.0,
"grad_norm": 5.7001824378967285,
"learning_rate": 0.00011733294524885283,
"loss": 0.3959,
"step": 960
},
{
"epoch": 5.0,
"eval_accuracy": 0.8170254403131115,
"eval_f1": 0.826046511627907,
"eval_loss": 0.41252297163009644,
"eval_mcc": 0.6374890350533482,
"eval_precision": 0.7872340425531915,
"eval_recall": 0.8688845401174168,
"eval_runtime": 66.4475,
"eval_samples_per_second": 15.381,
"eval_steps_per_second": 0.482,
"step": 960
},
{
"epoch": 6.0,
"grad_norm": 1.9468530416488647,
"learning_rate": 5.8666472624426415e-05,
"loss": 0.3889,
"step": 1152
},
{
"epoch": 6.0,
"eval_accuracy": 0.8160469667318982,
"eval_f1": 0.8324420677361855,
"eval_loss": 0.40997278690338135,
"eval_mcc": 0.6445565206113043,
"eval_precision": 0.7643207855973814,
"eval_recall": 0.913894324853229,
"eval_runtime": 66.9893,
"eval_samples_per_second": 15.256,
"eval_steps_per_second": 0.478,
"step": 1152
},
{
"epoch": 7.0,
"grad_norm": 1.8196734189987183,
"learning_rate": 0.0,
"loss": 0.3804,
"step": 1344
},
{
"epoch": 7.0,
"eval_accuracy": 0.8209393346379648,
"eval_f1": 0.8297674418604651,
"eval_loss": 0.405351847410202,
"eval_mcc": 0.6453592700540068,
"eval_precision": 0.7907801418439716,
"eval_recall": 0.87279843444227,
"eval_runtime": 66.7109,
"eval_samples_per_second": 15.32,
"eval_steps_per_second": 0.48,
"step": 1344
}
],
"logging_steps": 500,
"max_steps": 1344,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"total_flos": 1649866380960.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"alpha": 0.7654129557516562,
"learning_rate": 0.00041066530837098494,
"num_train_epochs": 7,
"per_device_train_batch_size": 16,
"temperature": 40
}
}