File size: 3,453 Bytes
2ff1a23 |
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 |
{
"best_metric": 0.1812099814414978,
"best_model_checkpoint": "/content/drive/MyDrive/BERT/np_model_es/checkpoint-486",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 1701,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.9390050468637346,
"eval_f1": 0.7960042060988434,
"eval_loss": 0.19681523740291595,
"eval_precision": 0.7577577577577578,
"eval_recall": 0.8383167220376523,
"eval_runtime": 5.2116,
"eval_samples_per_second": 46.435,
"eval_steps_per_second": 11.705,
"step": 243
},
{
"epoch": 2.0,
"eval_accuracy": 0.949098774333093,
"eval_f1": 0.8397027600849256,
"eval_loss": 0.1812099814414978,
"eval_precision": 0.8063200815494393,
"eval_recall": 0.875968992248062,
"eval_runtime": 5.4915,
"eval_samples_per_second": 44.069,
"eval_steps_per_second": 11.108,
"step": 486
},
{
"epoch": 2.06,
"learning_rate": 7.94238683127572e-06,
"loss": 0.2577,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.9495313626532084,
"eval_f1": 0.8511326860841423,
"eval_loss": 0.19488638639450073,
"eval_precision": 0.8296529968454258,
"eval_recall": 0.8737541528239202,
"eval_runtime": 5.0485,
"eval_samples_per_second": 47.935,
"eval_steps_per_second": 12.083,
"step": 729
},
{
"epoch": 4.0,
"eval_accuracy": 0.950396539293439,
"eval_f1": 0.8493297587131368,
"eval_loss": 0.21376554667949677,
"eval_precision": 0.8232848232848233,
"eval_recall": 0.8770764119601329,
"eval_runtime": 4.8302,
"eval_samples_per_second": 50.101,
"eval_steps_per_second": 12.629,
"step": 972
},
{
"epoch": 4.12,
"learning_rate": 5.884773662551441e-06,
"loss": 0.1112,
"step": 1000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9499639509733238,
"eval_f1": 0.8502732240437159,
"eval_loss": 0.24179881811141968,
"eval_precision": 0.8392664509169363,
"eval_recall": 0.8615725359911407,
"eval_runtime": 4.8298,
"eval_samples_per_second": 50.106,
"eval_steps_per_second": 12.63,
"step": 1215
},
{
"epoch": 6.0,
"eval_accuracy": 0.9492429704397981,
"eval_f1": 0.8493449781659388,
"eval_loss": 0.24828843772411346,
"eval_precision": 0.83745963401507,
"eval_recall": 0.8615725359911407,
"eval_runtime": 5.5749,
"eval_samples_per_second": 43.409,
"eval_steps_per_second": 10.942,
"step": 1458
},
{
"epoch": 6.17,
"learning_rate": 3.827160493827161e-06,
"loss": 0.0661,
"step": 1500
},
{
"epoch": 7.0,
"eval_accuracy": 0.949098774333093,
"eval_f1": 0.8526200873362445,
"eval_loss": 0.2728496193885803,
"eval_precision": 0.8406889128094726,
"eval_recall": 0.8648947951273532,
"eval_runtime": 4.9946,
"eval_samples_per_second": 48.452,
"eval_steps_per_second": 12.213,
"step": 1701
}
],
"logging_steps": 500,
"max_steps": 2430,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 224033373641160.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}
|