xuancoblab2023's picture
Training in progress, epoch 1
49ebdd3 verified
raw
history blame
4.3 kB
{
"best_metric": 0.8297455968688845,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-17/checkpoint-4596",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 5362,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 3.036878824234009,
"learning_rate": 6.985166134218099e-05,
"loss": 0.5738,
"step": 766
},
{
"epoch": 1.0,
"eval_accuracy": 0.7876712328767124,
"eval_f1": 0.8121212121212121,
"eval_loss": 0.4637316167354584,
"eval_precision": 0.7282608695652174,
"eval_recall": 0.9178082191780822,
"eval_runtime": 132.0721,
"eval_samples_per_second": 7.738,
"eval_steps_per_second": 1.938,
"step": 766
},
{
"epoch": 2.0,
"grad_norm": 31.187244415283203,
"learning_rate": 5.8209717785150834e-05,
"loss": 0.5056,
"step": 1532
},
{
"epoch": 2.0,
"eval_accuracy": 0.8043052837573386,
"eval_f1": 0.82174688057041,
"eval_loss": 0.4566289782524109,
"eval_precision": 0.7545008183306056,
"eval_recall": 0.9021526418786693,
"eval_runtime": 132.5437,
"eval_samples_per_second": 7.711,
"eval_steps_per_second": 1.931,
"step": 1532
},
{
"epoch": 3.0,
"grad_norm": 7.650017261505127,
"learning_rate": 4.6567774228120664e-05,
"loss": 0.5018,
"step": 2298
},
{
"epoch": 3.0,
"eval_accuracy": 0.8189823874755382,
"eval_f1": 0.829806807727691,
"eval_loss": 0.5142984986305237,
"eval_precision": 0.7829861111111112,
"eval_recall": 0.8825831702544031,
"eval_runtime": 132.4377,
"eval_samples_per_second": 7.717,
"eval_steps_per_second": 1.933,
"step": 2298
},
{
"epoch": 4.0,
"grad_norm": 7.019213676452637,
"learning_rate": 3.4925830671090495e-05,
"loss": 0.4961,
"step": 3064
},
{
"epoch": 4.0,
"eval_accuracy": 0.8238747553816047,
"eval_f1": 0.832089552238806,
"eval_loss": 0.5214771032333374,
"eval_precision": 0.7950089126559715,
"eval_recall": 0.87279843444227,
"eval_runtime": 132.1793,
"eval_samples_per_second": 7.732,
"eval_steps_per_second": 1.937,
"step": 3064
},
{
"epoch": 5.0,
"grad_norm": 63.91996383666992,
"learning_rate": 2.3283887114060332e-05,
"loss": 0.4823,
"step": 3830
},
{
"epoch": 5.0,
"eval_accuracy": 0.8238747553816047,
"eval_f1": 0.8366606170598911,
"eval_loss": 0.49781981110572815,
"eval_precision": 0.7800338409475466,
"eval_recall": 0.9021526418786693,
"eval_runtime": 132.1118,
"eval_samples_per_second": 7.736,
"eval_steps_per_second": 1.938,
"step": 3830
},
{
"epoch": 6.0,
"grad_norm": 7.790257930755615,
"learning_rate": 1.1641943557030166e-05,
"loss": 0.4627,
"step": 4596
},
{
"epoch": 6.0,
"eval_accuracy": 0.8297455968688845,
"eval_f1": 0.8429602888086642,
"eval_loss": 0.5300474762916565,
"eval_precision": 0.7822445561139029,
"eval_recall": 0.913894324853229,
"eval_runtime": 132.3089,
"eval_samples_per_second": 7.724,
"eval_steps_per_second": 1.935,
"step": 4596
},
{
"epoch": 7.0,
"grad_norm": 58.294677734375,
"learning_rate": 0.0,
"loss": 0.4654,
"step": 5362
},
{
"epoch": 7.0,
"eval_accuracy": 0.8258317025440313,
"eval_f1": 0.8378870673952642,
"eval_loss": 0.5393737554550171,
"eval_precision": 0.7836456558773425,
"eval_recall": 0.9001956947162426,
"eval_runtime": 132.364,
"eval_samples_per_second": 7.721,
"eval_steps_per_second": 1.934,
"step": 5362
}
],
"logging_steps": 500,
"max_steps": 5362,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"total_flos": 1649866380960.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": {
"alpha": 0.9998794266799103,
"learning_rate": 8.149360489921117e-05,
"num_train_epochs": 7,
"temperature": 5
}
}