|
{ |
|
"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 |
|
} |
|
|