File size: 1,511 Bytes
a6253c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
{
"best_metric": 0.07112815976142883,
"best_model_checkpoint": "../model/xlm-roberta-large_8_5e-06_512_train_french_5_512/tmp/checkpoint-6840",
"epoch": 3.0,
"global_step": 6840,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"learning_rate": 4.5e-06,
"loss": 0.1391,
"step": 2280
},
{
"epoch": 1.0,
"eval_accuracy": 0.7017543859649122,
"eval_loss": 0.08547523617744446,
"eval_runtime": 56.0096,
"eval_samples_per_second": 40.707,
"eval_steps_per_second": 5.088,
"step": 2280
},
{
"epoch": 2.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.0803,
"step": 4560
},
{
"epoch": 2.0,
"eval_accuracy": 0.7263157894736842,
"eval_loss": 0.07496826350688934,
"eval_runtime": 55.7373,
"eval_samples_per_second": 40.906,
"eval_steps_per_second": 5.113,
"step": 4560
},
{
"epoch": 3.0,
"learning_rate": 3.5e-06,
"loss": 0.0654,
"step": 6840
},
{
"epoch": 3.0,
"eval_accuracy": 0.7328947368421053,
"eval_loss": 0.07112815976142883,
"eval_runtime": 56.0517,
"eval_samples_per_second": 40.677,
"eval_steps_per_second": 5.085,
"step": 6840
}
],
"max_steps": 22800,
"num_train_epochs": 10,
"total_flos": 5.098754631595622e+16,
"trial_name": null,
"trial_params": null
}
|