File size: 3,245 Bytes
551051d |
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 |
{
"best_metric": 0.8346379647749511,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-20/checkpoint-480",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 480,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 3.3483004570007324,
"learning_rate": 0.00013855533928571864,
"loss": 0.5685,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7671232876712328,
"eval_f1": 0.8019966722129783,
"eval_loss": 0.477300226688385,
"eval_precision": 0.6975397973950795,
"eval_recall": 0.9432485322896281,
"eval_runtime": 25.843,
"eval_samples_per_second": 39.546,
"eval_steps_per_second": 1.238,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 2.558192729949951,
"learning_rate": 0.00011546278273809888,
"loss": 0.4736,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.8072407045009785,
"eval_f1": 0.8255093002657219,
"eval_loss": 0.43477192521095276,
"eval_precision": 0.7540453074433657,
"eval_recall": 0.9119373776908023,
"eval_runtime": 25.942,
"eval_samples_per_second": 39.396,
"eval_steps_per_second": 1.234,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 3.4191761016845703,
"learning_rate": 9.237022619047909e-05,
"loss": 0.4377,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.8258317025440313,
"eval_f1": 0.8381818181818183,
"eval_loss": 0.4183538258075714,
"eval_precision": 0.7826825127334465,
"eval_recall": 0.9021526418786693,
"eval_runtime": 25.665,
"eval_samples_per_second": 39.821,
"eval_steps_per_second": 1.247,
"step": 288
},
{
"epoch": 4.0,
"grad_norm": 7.199775218963623,
"learning_rate": 6.927766964285932e-05,
"loss": 0.4231,
"step": 384
},
{
"epoch": 4.0,
"eval_accuracy": 0.8199608610567515,
"eval_f1": 0.8257575757575758,
"eval_loss": 0.4184337258338928,
"eval_precision": 0.8,
"eval_recall": 0.8532289628180039,
"eval_runtime": 25.0602,
"eval_samples_per_second": 40.782,
"eval_steps_per_second": 1.277,
"step": 384
},
{
"epoch": 5.0,
"grad_norm": 2.4152629375457764,
"learning_rate": 4.6185113095239546e-05,
"loss": 0.4131,
"step": 480
},
{
"epoch": 5.0,
"eval_accuracy": 0.8346379647749511,
"eval_f1": 0.8467815049864007,
"eval_loss": 0.4067833125591278,
"eval_precision": 0.7888513513513513,
"eval_recall": 0.913894324853229,
"eval_runtime": 24.9745,
"eval_samples_per_second": 40.922,
"eval_steps_per_second": 1.281,
"step": 480
}
],
"logging_steps": 500,
"max_steps": 672,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"total_flos": 1178475986400.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.8907547983808969,
"learning_rate": 0.00016164789583333842,
"num_train_epochs": 7,
"temperature": 2
}
}
|