File size: 3,782 Bytes
6a00375 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 |
{
"best_metric": 0.8287671232876712,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-15/checkpoint-480",
"epoch": 6.0,
"eval_steps": 500,
"global_step": 576,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 2.341264247894287,
"learning_rate": 0.0003257774454972516,
"loss": 0.5225,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7906066536203522,
"eval_f1": 0.8078994614003591,
"eval_loss": 0.4404396712779999,
"eval_precision": 0.746268656716418,
"eval_recall": 0.8806262230919765,
"eval_runtime": 24.9228,
"eval_samples_per_second": 41.007,
"eval_steps_per_second": 1.284,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 2.7467563152313232,
"learning_rate": 0.00028957995155311255,
"loss": 0.4443,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.8189823874755382,
"eval_f1": 0.8322756119673618,
"eval_loss": 0.40899789333343506,
"eval_precision": 0.7753378378378378,
"eval_recall": 0.898238747553816,
"eval_runtime": 24.9291,
"eval_samples_per_second": 40.996,
"eval_steps_per_second": 1.284,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 3.382880210876465,
"learning_rate": 0.00025338245760897347,
"loss": 0.4106,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.8238747553816047,
"eval_f1": 0.8324022346368715,
"eval_loss": 0.4271247386932373,
"eval_precision": 0.7939609236234458,
"eval_recall": 0.8747553816046967,
"eval_runtime": 26.7353,
"eval_samples_per_second": 38.227,
"eval_steps_per_second": 1.197,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 2.9181997776031494,
"learning_rate": 0.00021718496366483439,
"loss": 0.4035,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.8170254403131115,
"eval_f1": 0.8172043010752689,
"eval_loss": 0.41200369596481323,
"eval_precision": 0.81640625,
"eval_recall": 0.8180039138943248,
"eval_runtime": 26.179,
"eval_samples_per_second": 39.039,
"eval_steps_per_second": 1.222,
"step": 384
},
{
"epoch": 5.0,
"grad_norm": 1.339964509010315,
"learning_rate": 0.00018098746972069533,
"loss": 0.3903,
"step": 480
},
{
"epoch": 5.0,
"eval_accuracy": 0.8287671232876712,
"eval_f1": 0.8362956033676333,
"eval_loss": 0.40260037779808044,
"eval_precision": 0.8010752688172043,
"eval_recall": 0.8747553816046967,
"eval_runtime": 25.7166,
"eval_samples_per_second": 39.741,
"eval_steps_per_second": 1.244,
"step": 480
},
{
"epoch": 6.0,
"grad_norm": 2.8921544551849365,
"learning_rate": 0.00014478997577655628,
"loss": 0.3906,
"step": 576
},
{
"epoch": 6.0,
"eval_accuracy": 0.8277886497064579,
"eval_f1": 0.8408679927667269,
"eval_loss": 0.39854004979133606,
"eval_precision": 0.7815126050420168,
"eval_recall": 0.9099804305283757,
"eval_runtime": 25.134,
"eval_samples_per_second": 40.662,
"eval_steps_per_second": 1.273,
"step": 576
}
],
"logging_steps": 500,
"max_steps": 960,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1414171183680.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.7955319016044536,
"learning_rate": 0.00036197493944139066,
"num_train_epochs": 10,
"temperature": 8
}
}
|