File size: 3,148 Bytes
246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 3a146c3 246c9b3 |
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 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 |
{
"best_metric": 0.652438759803772,
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_qnli/checkpoint-820",
"epoch": 7.0,
"global_step": 2870,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"learning_rate": 4.9e-05,
"loss": 0.6824,
"step": 410
},
{
"epoch": 1.0,
"eval_accuracy": 0.5996705107084019,
"eval_loss": 0.6577625870704651,
"eval_runtime": 5.6422,
"eval_samples_per_second": 968.24,
"eval_steps_per_second": 3.899,
"step": 410
},
{
"epoch": 2.0,
"learning_rate": 4.8e-05,
"loss": 0.6441,
"step": 820
},
{
"epoch": 2.0,
"eval_accuracy": 0.6086399414241259,
"eval_loss": 0.652438759803772,
"eval_runtime": 5.5355,
"eval_samples_per_second": 986.904,
"eval_steps_per_second": 3.974,
"step": 820
},
{
"epoch": 3.0,
"learning_rate": 4.7e-05,
"loss": 0.6202,
"step": 1230
},
{
"epoch": 3.0,
"eval_accuracy": 0.6071755445725792,
"eval_loss": 0.6553815603256226,
"eval_runtime": 5.4718,
"eval_samples_per_second": 998.389,
"eval_steps_per_second": 4.021,
"step": 1230
},
{
"epoch": 4.0,
"learning_rate": 4.600000000000001e-05,
"loss": 0.6009,
"step": 1640
},
{
"epoch": 4.0,
"eval_accuracy": 0.6051619989017024,
"eval_loss": 0.6619159579277039,
"eval_runtime": 5.4488,
"eval_samples_per_second": 1002.613,
"eval_steps_per_second": 4.038,
"step": 1640
},
{
"epoch": 5.0,
"learning_rate": 4.5e-05,
"loss": 0.587,
"step": 2050
},
{
"epoch": 5.0,
"eval_accuracy": 0.598572213069742,
"eval_loss": 0.668364405632019,
"eval_runtime": 5.5979,
"eval_samples_per_second": 975.905,
"eval_steps_per_second": 3.93,
"step": 2050
},
{
"epoch": 6.0,
"learning_rate": 4.400243902439024e-05,
"loss": 0.5755,
"step": 2460
},
{
"epoch": 6.0,
"eval_accuracy": 0.5978400146439685,
"eval_loss": 0.680844783782959,
"eval_runtime": 5.501,
"eval_samples_per_second": 993.091,
"eval_steps_per_second": 3.999,
"step": 2460
},
{
"epoch": 7.0,
"learning_rate": 4.3002439024390246e-05,
"loss": 0.5671,
"step": 2870
},
{
"epoch": 7.0,
"eval_accuracy": 0.5844773933736043,
"eval_loss": 0.7068149447441101,
"eval_runtime": 5.4741,
"eval_samples_per_second": 997.977,
"eval_steps_per_second": 4.019,
"step": 2870
},
{
"epoch": 7.0,
"step": 2870,
"total_flos": 2.328477811133645e+16,
"train_loss": 0.6110314930772948,
"train_runtime": 2217.6487,
"train_samples_per_second": 2361.578,
"train_steps_per_second": 9.244
}
],
"max_steps": 20500,
"num_train_epochs": 50,
"total_flos": 2.328477811133645e+16,
"trial_name": null,
"trial_params": null
}
|