med-alex's picture
End of training
d5c5137 verified
{
"best_metric": 81.63811371088175,
"best_model_checkpoint": "/root/turkic_qa/ru_kaz_models/ru_kaz_xlm_roberta_large_squad_model/checkpoint-2208",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 2760,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 552,
"train_exact_match": 67.83216783216783,
"train_f1": 84.61477737180347,
"train_runtime": 23.2961,
"train_samples_per_second": 43.612,
"train_steps_per_second": 1.588
},
{
"epoch": 1.0,
"grad_norm": 209.68630981445312,
"learning_rate": 1e-05,
"loss": 1.187,
"step": 552
},
{
"epoch": 1.0,
"eval_exact_match": 62.8125,
"eval_f1": 80.31583567739357,
"eval_runtime": 74.7802,
"eval_samples_per_second": 43.875,
"eval_steps_per_second": 1.578,
"step": 552
},
{
"epoch": 2.0,
"step": 1104,
"train_exact_match": 77.12287712287713,
"train_f1": 90.22014020687811,
"train_runtime": 23.5003,
"train_samples_per_second": 43.744,
"train_steps_per_second": 1.574
},
{
"epoch": 2.0,
"grad_norm": 55.167510986328125,
"learning_rate": 7.500000000000001e-06,
"loss": 0.8237,
"step": 1104
},
{
"epoch": 2.0,
"eval_exact_match": 64.59375,
"eval_f1": 81.19927962759496,
"eval_runtime": 74.7421,
"eval_samples_per_second": 43.898,
"eval_steps_per_second": 1.579,
"step": 1104
},
{
"epoch": 3.0,
"step": 1656,
"train_exact_match": 80.01998001998003,
"train_f1": 92.75806800650366,
"train_runtime": 23.2732,
"train_samples_per_second": 43.698,
"train_steps_per_second": 1.59
},
{
"epoch": 3.0,
"grad_norm": 60.38401794433594,
"learning_rate": 5e-06,
"loss": 0.5947,
"step": 1656
},
{
"epoch": 3.0,
"eval_exact_match": 65.34375,
"eval_f1": 81.60673478065382,
"eval_runtime": 75.1587,
"eval_samples_per_second": 43.654,
"eval_steps_per_second": 1.57,
"step": 1656
},
{
"epoch": 4.0,
"step": 2208,
"train_exact_match": 85.11488511488511,
"train_f1": 95.27935906423745,
"train_runtime": 23.5078,
"train_samples_per_second": 43.135,
"train_steps_per_second": 1.574
},
{
"epoch": 4.0,
"grad_norm": 106.58255004882812,
"learning_rate": 2.5e-06,
"loss": 0.4463,
"step": 2208
},
{
"epoch": 4.0,
"eval_exact_match": 65.3125,
"eval_f1": 81.63811371088175,
"eval_runtime": 75.6398,
"eval_samples_per_second": 43.377,
"eval_steps_per_second": 1.56,
"step": 2208
},
{
"epoch": 5.0,
"step": 2760,
"train_exact_match": 88.21178821178822,
"train_f1": 96.20658088193036,
"train_runtime": 23.4676,
"train_samples_per_second": 43.549,
"train_steps_per_second": 1.577
},
{
"epoch": 5.0,
"grad_norm": 25.936321258544922,
"learning_rate": 0.0,
"loss": 0.3537,
"step": 2760
},
{
"epoch": 5.0,
"eval_exact_match": 65.25,
"eval_f1": 81.53757682259878,
"eval_runtime": 75.1221,
"eval_samples_per_second": 43.676,
"eval_steps_per_second": 1.571,
"step": 2760
},
{
"epoch": 5.0,
"step": 2760,
"total_flos": 5.376168689054976e+16,
"train_loss": 0.6810590108235677,
"train_runtime": 4970.3143,
"train_samples_per_second": 15.529,
"train_steps_per_second": 0.555
}
],
"logging_steps": 500,
"max_steps": 2760,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 5.376168689054976e+16,
"train_batch_size": 28,
"trial_name": null,
"trial_params": null
}