med-alex's picture
End of training
925248e verified
raw
history blame contribute delete
No virus
3.93 kB
{
"best_metric": 75.55577348115898,
"best_model_checkpoint": "/root/turkic_qa/en_kaz_models/en_kaz_xlm_roberta_large_model/checkpoint-3260",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 3260,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 652,
"train_exact_match": 55.94405594405595,
"train_f1": 73.63671036317213,
"train_runtime": 28.1019,
"train_samples_per_second": 43.663,
"train_steps_per_second": 1.566
},
{
"epoch": 1.0,
"grad_norm": 41.142127990722656,
"learning_rate": 1e-05,
"loss": 3.2057,
"step": 652
},
{
"epoch": 1.0,
"eval_exact_match": 51.65625,
"eval_f1": 68.43543312331303,
"eval_runtime": 88.3369,
"eval_samples_per_second": 43.674,
"eval_steps_per_second": 1.562,
"step": 652
},
{
"epoch": 2.0,
"step": 1304,
"train_exact_match": 67.53246753246754,
"train_f1": 82.24342151350066,
"train_runtime": 28.5968,
"train_samples_per_second": 43.396,
"train_steps_per_second": 1.574
},
{
"epoch": 2.0,
"grad_norm": 36.88103103637695,
"learning_rate": 7.500000000000001e-06,
"loss": 1.172,
"step": 1304
},
{
"epoch": 2.0,
"eval_exact_match": 56.875,
"eval_f1": 73.03642440401033,
"eval_runtime": 88.3326,
"eval_samples_per_second": 43.676,
"eval_steps_per_second": 1.562,
"step": 1304
},
{
"epoch": 3.0,
"step": 1956,
"train_exact_match": 78.92107892107892,
"train_f1": 90.2235322381411,
"train_runtime": 27.7189,
"train_samples_per_second": 43.508,
"train_steps_per_second": 1.587
},
{
"epoch": 3.0,
"grad_norm": 38.58055877685547,
"learning_rate": 5e-06,
"loss": 0.8237,
"step": 1956
},
{
"epoch": 3.0,
"eval_exact_match": 60.5625,
"eval_f1": 75.47199499569918,
"eval_runtime": 88.109,
"eval_samples_per_second": 43.787,
"eval_steps_per_second": 1.566,
"step": 1956
},
{
"epoch": 4.0,
"step": 2608,
"train_exact_match": 82.11788211788212,
"train_f1": 92.67663132485467,
"train_runtime": 29.1938,
"train_samples_per_second": 43.16,
"train_steps_per_second": 1.541
},
{
"epoch": 4.0,
"grad_norm": 34.8208122253418,
"learning_rate": 2.5e-06,
"loss": 0.588,
"step": 2608
},
{
"epoch": 4.0,
"eval_exact_match": 60.65625,
"eval_f1": 75.1934488142968,
"eval_runtime": 89.1778,
"eval_samples_per_second": 43.262,
"eval_steps_per_second": 1.547,
"step": 2608
},
{
"epoch": 5.0,
"step": 3260,
"train_exact_match": 85.61438561438561,
"train_f1": 94.19636283438837,
"train_runtime": 27.8587,
"train_samples_per_second": 43.433,
"train_steps_per_second": 1.579
},
{
"epoch": 5.0,
"grad_norm": 31.479175567626953,
"learning_rate": 0.0,
"loss": 0.465,
"step": 3260
},
{
"epoch": 5.0,
"eval_exact_match": 61.125,
"eval_f1": 75.55577348115898,
"eval_runtime": 88.1654,
"eval_samples_per_second": 43.759,
"eval_steps_per_second": 1.565,
"step": 3260
},
{
"epoch": 5.0,
"step": 3260,
"total_flos": 6.354793682009856e+16,
"train_loss": 1.2508642091341544,
"train_runtime": 5889.9617,
"train_samples_per_second": 15.49,
"train_steps_per_second": 0.553
}
],
"logging_steps": 500,
"max_steps": 3260,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 6.354793682009856e+16,
"train_batch_size": 28,
"trial_name": null,
"trial_params": null
}