|
{ |
|
"best_metric": 0.6852201819419861, |
|
"best_model_checkpoint": "add_BERT_no_pretrain_wnli/checkpoint-40", |
|
"epoch": 13.0, |
|
"global_step": 65, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.9200000000000004e-05, |
|
"loss": 0.9529, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6859562397003174, |
|
"eval_runtime": 0.1385, |
|
"eval_samples_per_second": 512.641, |
|
"eval_steps_per_second": 7.22, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 3.8400000000000005e-05, |
|
"loss": 0.762, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.8068376183509827, |
|
"eval_runtime": 0.1395, |
|
"eval_samples_per_second": 509.037, |
|
"eval_steps_per_second": 7.17, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3.76e-05, |
|
"loss": 0.7199, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.6986883878707886, |
|
"eval_runtime": 0.14, |
|
"eval_samples_per_second": 507.156, |
|
"eval_steps_per_second": 7.143, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.680000000000001e-05, |
|
"loss": 0.7092, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6958004236221313, |
|
"eval_runtime": 0.1388, |
|
"eval_samples_per_second": 511.607, |
|
"eval_steps_per_second": 7.206, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 3.6e-05, |
|
"loss": 0.7149, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6853562593460083, |
|
"eval_runtime": 0.1392, |
|
"eval_samples_per_second": 509.961, |
|
"eval_steps_per_second": 7.183, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 3.52e-05, |
|
"loss": 0.7069, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.6955687403678894, |
|
"eval_runtime": 0.1393, |
|
"eval_samples_per_second": 509.691, |
|
"eval_steps_per_second": 7.179, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 3.44e-05, |
|
"loss": 0.7008, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.6985586881637573, |
|
"eval_runtime": 0.1391, |
|
"eval_samples_per_second": 510.536, |
|
"eval_steps_per_second": 7.191, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 3.3600000000000004e-05, |
|
"loss": 0.7079, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6852201819419861, |
|
"eval_runtime": 0.139, |
|
"eval_samples_per_second": 510.861, |
|
"eval_steps_per_second": 7.195, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 3.28e-05, |
|
"loss": 0.7444, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.7381781935691833, |
|
"eval_runtime": 0.1382, |
|
"eval_samples_per_second": 513.836, |
|
"eval_steps_per_second": 7.237, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 0.7147, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.7008692026138306, |
|
"eval_runtime": 0.1384, |
|
"eval_samples_per_second": 512.872, |
|
"eval_steps_per_second": 7.224, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 3.1200000000000006e-05, |
|
"loss": 0.7318, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.7316415309906006, |
|
"eval_runtime": 0.1391, |
|
"eval_samples_per_second": 510.379, |
|
"eval_steps_per_second": 7.188, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 3.0400000000000004e-05, |
|
"loss": 0.7212, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6857689023017883, |
|
"eval_runtime": 0.1384, |
|
"eval_samples_per_second": 512.863, |
|
"eval_steps_per_second": 7.223, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"learning_rate": 2.96e-05, |
|
"loss": 0.7043, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.7075231075286865, |
|
"eval_runtime": 0.1394, |
|
"eval_samples_per_second": 509.331, |
|
"eval_steps_per_second": 7.174, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"step": 65, |
|
"total_flos": 1179011824746496.0, |
|
"train_loss": 0.7377610133244441, |
|
"train_runtime": 98.1104, |
|
"train_samples_per_second": 323.615, |
|
"train_steps_per_second": 2.548 |
|
} |
|
], |
|
"max_steps": 250, |
|
"num_train_epochs": 50, |
|
"total_flos": 1179011824746496.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|