med-alex's picture
End of training
0567781 verified
raw
history blame
7.09 kB
{
"best_metric": 76.43196644229354,
"best_model_checkpoint": "/root/turkic_qa/en_kaz_models/en_kaz_mdeberta_base_squad_model/checkpoint-2764",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 6910,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 691,
"train_exact_match": 63.03696303696304,
"train_f1": 78.13915659047835,
"train_runtime": 17.4035,
"train_samples_per_second": 74.468,
"train_steps_per_second": 2.701
},
{
"epoch": 1.0,
"grad_norm": 40.22502899169922,
"learning_rate": 5e-06,
"loss": 1.2642,
"step": 691
},
{
"epoch": 1.0,
"eval_exact_match": 58.5625,
"eval_f1": 74.11433052314848,
"eval_runtime": 54.8873,
"eval_samples_per_second": 74.626,
"eval_steps_per_second": 2.678,
"step": 691
},
{
"epoch": 2.0,
"step": 1382,
"train_exact_match": 67.33266733266733,
"train_f1": 80.90558473928773,
"train_runtime": 17.2817,
"train_samples_per_second": 75.745,
"train_steps_per_second": 2.72
},
{
"epoch": 2.0,
"grad_norm": 28.721803665161133,
"learning_rate": 1e-05,
"loss": 1.0309,
"step": 1382
},
{
"epoch": 2.0,
"eval_exact_match": 60.84375,
"eval_f1": 75.39680273889411,
"eval_runtime": 54.2212,
"eval_samples_per_second": 75.542,
"eval_steps_per_second": 2.711,
"step": 1382
},
{
"epoch": 3.0,
"step": 2073,
"train_exact_match": 72.22777222777223,
"train_f1": 86.54756181813792,
"train_runtime": 16.9462,
"train_samples_per_second": 74.943,
"train_steps_per_second": 2.714
},
{
"epoch": 3.0,
"grad_norm": 25.19014549255371,
"learning_rate": 8.750000000000001e-06,
"loss": 0.8566,
"step": 2073
},
{
"epoch": 3.0,
"eval_exact_match": 62.1875,
"eval_f1": 76.29400510573826,
"eval_runtime": 54.2582,
"eval_samples_per_second": 75.491,
"eval_steps_per_second": 2.709,
"step": 2073
},
{
"epoch": 4.0,
"step": 2764,
"train_exact_match": 75.52447552447552,
"train_f1": 88.34455431353304,
"train_runtime": 17.9414,
"train_samples_per_second": 75.078,
"train_steps_per_second": 2.731
},
{
"epoch": 4.0,
"grad_norm": 31.350345611572266,
"learning_rate": 7.500000000000001e-06,
"loss": 0.7007,
"step": 2764
},
{
"epoch": 4.0,
"eval_exact_match": 62.21875,
"eval_f1": 76.43196644229354,
"eval_runtime": 54.0444,
"eval_samples_per_second": 75.79,
"eval_steps_per_second": 2.72,
"step": 2764
},
{
"epoch": 5.0,
"step": 3455,
"train_exact_match": 80.01998001998003,
"train_f1": 91.67585411210774,
"train_runtime": 17.0774,
"train_samples_per_second": 75.246,
"train_steps_per_second": 2.694
},
{
"epoch": 5.0,
"grad_norm": 41.42879867553711,
"learning_rate": 6.25e-06,
"loss": 0.5836,
"step": 3455
},
{
"epoch": 5.0,
"eval_exact_match": 62.0,
"eval_f1": 75.89595740381746,
"eval_runtime": 54.8769,
"eval_samples_per_second": 74.64,
"eval_steps_per_second": 2.679,
"step": 3455
},
{
"epoch": 6.0,
"step": 4146,
"train_exact_match": 81.71828171828172,
"train_f1": 92.46355571003183,
"train_runtime": 16.6375,
"train_samples_per_second": 75.252,
"train_steps_per_second": 2.705
},
{
"epoch": 6.0,
"grad_norm": 20.05802345275879,
"learning_rate": 5e-06,
"loss": 0.494,
"step": 4146
},
{
"epoch": 6.0,
"eval_exact_match": 62.46875,
"eval_f1": 75.95799025269356,
"eval_runtime": 54.1924,
"eval_samples_per_second": 75.583,
"eval_steps_per_second": 2.713,
"step": 4146
},
{
"epoch": 7.0,
"step": 4837,
"train_exact_match": 82.11788211788212,
"train_f1": 93.12695306139514,
"train_runtime": 17.1308,
"train_samples_per_second": 74.953,
"train_steps_per_second": 2.685
},
{
"epoch": 7.0,
"grad_norm": 36.17577362060547,
"learning_rate": 3.7500000000000005e-06,
"loss": 0.4281,
"step": 4837
},
{
"epoch": 7.0,
"eval_exact_match": 62.09375,
"eval_f1": 75.87457028727934,
"eval_runtime": 54.4468,
"eval_samples_per_second": 75.229,
"eval_steps_per_second": 2.7,
"step": 4837
},
{
"epoch": 8.0,
"step": 5528,
"train_exact_match": 86.01398601398601,
"train_f1": 94.42525886876679,
"train_runtime": 17.0114,
"train_samples_per_second": 75.479,
"train_steps_per_second": 2.704
},
{
"epoch": 8.0,
"grad_norm": 12.529890060424805,
"learning_rate": 2.5e-06,
"loss": 0.3806,
"step": 5528
},
{
"epoch": 8.0,
"eval_exact_match": 62.0625,
"eval_f1": 75.78487868224668,
"eval_runtime": 54.4766,
"eval_samples_per_second": 75.188,
"eval_steps_per_second": 2.698,
"step": 5528
},
{
"epoch": 9.0,
"step": 6219,
"train_exact_match": 86.11388611388611,
"train_f1": 94.8958657040008,
"train_runtime": 17.878,
"train_samples_per_second": 72.1,
"train_steps_per_second": 2.629
},
{
"epoch": 9.0,
"grad_norm": 37.82954788208008,
"learning_rate": 1.25e-06,
"loss": 0.3457,
"step": 6219
},
{
"epoch": 9.0,
"eval_exact_match": 62.03125,
"eval_f1": 75.65181251557605,
"eval_runtime": 54.6102,
"eval_samples_per_second": 75.004,
"eval_steps_per_second": 2.692,
"step": 6219
},
{
"epoch": 10.0,
"step": 6910,
"train_exact_match": 87.81218781218782,
"train_f1": 95.32192987518101,
"train_runtime": 16.6546,
"train_samples_per_second": 74.814,
"train_steps_per_second": 2.702
},
{
"epoch": 10.0,
"grad_norm": 8.968611717224121,
"learning_rate": 0.0,
"loss": 0.3243,
"step": 6910
},
{
"epoch": 10.0,
"eval_exact_match": 61.9375,
"eval_f1": 75.6746197198531,
"eval_runtime": 54.8671,
"eval_samples_per_second": 74.653,
"eval_steps_per_second": 2.679,
"step": 6910
},
{
"epoch": 10.0,
"step": 6910,
"total_flos": 3.788022162461184e+16,
"train_loss": 0.6408887451878504,
"train_runtime": 5720.422,
"train_samples_per_second": 33.789,
"train_steps_per_second": 1.208
}
],
"logging_steps": 500,
"max_steps": 6910,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 3.788022162461184e+16,
"train_batch_size": 28,
"trial_name": null,
"trial_params": null
}