xuancoblab2023's picture
Training in progress, epoch 1
2d9d152 verified
raw
history blame
4.57 kB
{
"best_metric": 0.7733333333333333,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-20/checkpoint-960",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 1120,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 2.297672986984253,
"learning_rate": 0.0004503757705353633,
"loss": 0.5065,
"step": 160
},
{
"epoch": 1.0,
"eval_accuracy": 0.6909803921568628,
"eval_f1": 0.286231884057971,
"eval_loss": 0.46740272641181946,
"eval_mcc": 0.20370649805068908,
"eval_precision": 0.6220472440944882,
"eval_recall": 0.18588235294117647,
"eval_runtime": 1.8709,
"eval_samples_per_second": 681.504,
"eval_steps_per_second": 21.381,
"step": 160
},
{
"epoch": 2.0,
"grad_norm": 2.163440227508545,
"learning_rate": 0.0003753131421128028,
"loss": 0.472,
"step": 320
},
{
"epoch": 2.0,
"eval_accuracy": 0.7090196078431372,
"eval_f1": 0.29601518026565465,
"eval_loss": 0.447980672121048,
"eval_mcc": 0.26984218289739087,
"eval_precision": 0.7647058823529411,
"eval_recall": 0.18352941176470589,
"eval_runtime": 2.1203,
"eval_samples_per_second": 601.317,
"eval_steps_per_second": 18.865,
"step": 320
},
{
"epoch": 3.0,
"grad_norm": 2.110410690307617,
"learning_rate": 0.0003002505136902422,
"loss": 0.4616,
"step": 480
},
{
"epoch": 3.0,
"eval_accuracy": 0.7262745098039216,
"eval_f1": 0.5146036161335187,
"eval_loss": 0.445524126291275,
"eval_mcc": 0.34365078524294146,
"eval_precision": 0.6292517006802721,
"eval_recall": 0.43529411764705883,
"eval_runtime": 1.8755,
"eval_samples_per_second": 679.828,
"eval_steps_per_second": 21.328,
"step": 480
},
{
"epoch": 4.0,
"grad_norm": 1.1434326171875,
"learning_rate": 0.00022518788526768165,
"loss": 0.452,
"step": 640
},
{
"epoch": 4.0,
"eval_accuracy": 0.7341176470588235,
"eval_f1": 0.4593301435406698,
"eval_loss": 0.44121384620666504,
"eval_mcc": 0.3493311330281174,
"eval_precision": 0.7128712871287128,
"eval_recall": 0.3388235294117647,
"eval_runtime": 1.8788,
"eval_samples_per_second": 678.621,
"eval_steps_per_second": 21.29,
"step": 640
},
{
"epoch": 5.0,
"grad_norm": 1.2687256336212158,
"learning_rate": 0.0001501252568451211,
"loss": 0.4436,
"step": 800
},
{
"epoch": 5.0,
"eval_accuracy": 0.7607843137254902,
"eval_f1": 0.5970937912813739,
"eval_loss": 0.43906503915786743,
"eval_mcc": 0.4372564381540906,
"eval_precision": 0.6807228915662651,
"eval_recall": 0.5317647058823529,
"eval_runtime": 1.8778,
"eval_samples_per_second": 678.984,
"eval_steps_per_second": 21.301,
"step": 800
},
{
"epoch": 6.0,
"grad_norm": 1.7441729307174683,
"learning_rate": 7.506262842256055e-05,
"loss": 0.4334,
"step": 960
},
{
"epoch": 6.0,
"eval_accuracy": 0.7733333333333333,
"eval_f1": 0.611036339165545,
"eval_loss": 0.4335384964942932,
"eval_mcc": 0.46528826388603933,
"eval_precision": 0.7138364779874213,
"eval_recall": 0.5341176470588235,
"eval_runtime": 1.8888,
"eval_samples_per_second": 675.037,
"eval_steps_per_second": 21.178,
"step": 960
},
{
"epoch": 7.0,
"grad_norm": 1.9164094924926758,
"learning_rate": 0.0,
"loss": 0.4319,
"step": 1120
},
{
"epoch": 7.0,
"eval_accuracy": 0.7694117647058824,
"eval_f1": 0.5870786516853933,
"eval_loss": 0.429920494556427,
"eval_mcc": 0.45148621894108926,
"eval_precision": 0.7282229965156795,
"eval_recall": 0.49176470588235294,
"eval_runtime": 1.8741,
"eval_samples_per_second": 680.328,
"eval_steps_per_second": 21.344,
"step": 1120
}
],
"logging_steps": 500,
"max_steps": 1120,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"total_flos": 2042288065440.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.796338716906447,
"learning_rate": 0.0005254383989579239,
"num_train_epochs": 7,
"temperature": 7
}
}