Delete trainer_state.json
Browse files- trainer_state.json +0 -160
trainer_state.json
DELETED
|
@@ -1,160 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_global_step": 7000,
|
| 3 |
-
"best_metric": 0.8717496172154136,
|
| 4 |
-
"best_model_checkpoint": "banBERT-Base-ner/checkpoint-7000",
|
| 5 |
-
"epoch": 0.3872538172161983,
|
| 6 |
-
"eval_steps": 1000,
|
| 7 |
-
"global_step": 7000,
|
| 8 |
-
"is_hyper_param_search": false,
|
| 9 |
-
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero": true,
|
| 11 |
-
"log_history": [
|
| 12 |
-
{
|
| 13 |
-
"epoch": 0.05532197388802833,
|
| 14 |
-
"grad_norm": 6.376655101776123,
|
| 15 |
-
"learning_rate": 4.9578094439787654e-05,
|
| 16 |
-
"loss": 0.4601,
|
| 17 |
-
"step": 1000
|
| 18 |
-
},
|
| 19 |
-
{
|
| 20 |
-
"epoch": 0.05532197388802833,
|
| 21 |
-
"eval_f1": 0.8369469378053125,
|
| 22 |
-
"eval_loss": 0.16556322574615479,
|
| 23 |
-
"eval_precision": 0.8429710358834732,
|
| 24 |
-
"eval_recall": 0.8536588983062214,
|
| 25 |
-
"eval_runtime": 30.8716,
|
| 26 |
-
"eval_samples_per_second": 252.303,
|
| 27 |
-
"eval_steps_per_second": 31.55,
|
| 28 |
-
"step": 1000
|
| 29 |
-
},
|
| 30 |
-
{
|
| 31 |
-
"epoch": 0.11064394777605666,
|
| 32 |
-
"grad_norm": 5.981681823730469,
|
| 33 |
-
"learning_rate": 4.864673558722176e-05,
|
| 34 |
-
"loss": 0.1688,
|
| 35 |
-
"step": 2000
|
| 36 |
-
},
|
| 37 |
-
{
|
| 38 |
-
"epoch": 0.11064394777605666,
|
| 39 |
-
"eval_f1": 0.8684155788385287,
|
| 40 |
-
"eval_loss": 0.15073692798614502,
|
| 41 |
-
"eval_precision": 0.8786383070318958,
|
| 42 |
-
"eval_recall": 0.8647918685142635,
|
| 43 |
-
"eval_runtime": 30.222,
|
| 44 |
-
"eval_samples_per_second": 257.726,
|
| 45 |
-
"eval_steps_per_second": 32.228,
|
| 46 |
-
"step": 2000
|
| 47 |
-
},
|
| 48 |
-
{
|
| 49 |
-
"epoch": 0.16596592166408497,
|
| 50 |
-
"grad_norm": 8.93840217590332,
|
| 51 |
-
"learning_rate": 4.771537673465586e-05,
|
| 52 |
-
"loss": 0.1682,
|
| 53 |
-
"step": 3000
|
| 54 |
-
},
|
| 55 |
-
{
|
| 56 |
-
"epoch": 0.16596592166408497,
|
| 57 |
-
"eval_f1": 0.8652855455238344,
|
| 58 |
-
"eval_loss": 0.14961303770542145,
|
| 59 |
-
"eval_precision": 0.8529293795796855,
|
| 60 |
-
"eval_recall": 0.882634319862615,
|
| 61 |
-
"eval_runtime": 30.5151,
|
| 62 |
-
"eval_samples_per_second": 255.251,
|
| 63 |
-
"eval_steps_per_second": 31.919,
|
| 64 |
-
"step": 3000
|
| 65 |
-
},
|
| 66 |
-
{
|
| 67 |
-
"epoch": 0.2212878955521133,
|
| 68 |
-
"grad_norm": 11.654342651367188,
|
| 69 |
-
"learning_rate": 4.678401788208997e-05,
|
| 70 |
-
"loss": 0.1599,
|
| 71 |
-
"step": 4000
|
| 72 |
-
},
|
| 73 |
-
{
|
| 74 |
-
"epoch": 0.2212878955521133,
|
| 75 |
-
"eval_f1": 0.85060492164182,
|
| 76 |
-
"eval_loss": 0.15266153216362,
|
| 77 |
-
"eval_precision": 0.8604386440507177,
|
| 78 |
-
"eval_recall": 0.8517179818649396,
|
| 79 |
-
"eval_runtime": 30.3777,
|
| 80 |
-
"eval_samples_per_second": 256.405,
|
| 81 |
-
"eval_steps_per_second": 32.063,
|
| 82 |
-
"step": 4000
|
| 83 |
-
},
|
| 84 |
-
{
|
| 85 |
-
"epoch": 0.2766098694401416,
|
| 86 |
-
"grad_norm": 1.2951234579086304,
|
| 87 |
-
"learning_rate": 4.5852659029524075e-05,
|
| 88 |
-
"loss": 0.1473,
|
| 89 |
-
"step": 5000
|
| 90 |
-
},
|
| 91 |
-
{
|
| 92 |
-
"epoch": 0.2766098694401416,
|
| 93 |
-
"eval_f1": 0.8576298116414219,
|
| 94 |
-
"eval_loss": 0.13760635256767273,
|
| 95 |
-
"eval_precision": 0.8797513822853761,
|
| 96 |
-
"eval_recall": 0.8550127016283164,
|
| 97 |
-
"eval_runtime": 30.3473,
|
| 98 |
-
"eval_samples_per_second": 256.662,
|
| 99 |
-
"eval_steps_per_second": 32.095,
|
| 100 |
-
"step": 5000
|
| 101 |
-
},
|
| 102 |
-
{
|
| 103 |
-
"epoch": 0.33193184332816994,
|
| 104 |
-
"grad_norm": 9.229101181030273,
|
| 105 |
-
"learning_rate": 4.4921300176958186e-05,
|
| 106 |
-
"loss": 0.1453,
|
| 107 |
-
"step": 6000
|
| 108 |
-
},
|
| 109 |
-
{
|
| 110 |
-
"epoch": 0.33193184332816994,
|
| 111 |
-
"eval_f1": 0.8707701964752692,
|
| 112 |
-
"eval_loss": 0.14014214277267456,
|
| 113 |
-
"eval_precision": 0.8700724058976196,
|
| 114 |
-
"eval_recall": 0.8747071525772437,
|
| 115 |
-
"eval_runtime": 32.7251,
|
| 116 |
-
"eval_samples_per_second": 238.013,
|
| 117 |
-
"eval_steps_per_second": 29.763,
|
| 118 |
-
"step": 6000
|
| 119 |
-
},
|
| 120 |
-
{
|
| 121 |
-
"epoch": 0.3872538172161983,
|
| 122 |
-
"grad_norm": 12.196864128112793,
|
| 123 |
-
"learning_rate": 4.398994132439229e-05,
|
| 124 |
-
"loss": 0.1526,
|
| 125 |
-
"step": 7000
|
| 126 |
-
},
|
| 127 |
-
{
|
| 128 |
-
"epoch": 0.3872538172161983,
|
| 129 |
-
"eval_f1": 0.8717496172154136,
|
| 130 |
-
"eval_loss": 0.13219104707241058,
|
| 131 |
-
"eval_precision": 0.8705852927728186,
|
| 132 |
-
"eval_recall": 0.8764025942697206,
|
| 133 |
-
"eval_runtime": 31.7642,
|
| 134 |
-
"eval_samples_per_second": 245.213,
|
| 135 |
-
"eval_steps_per_second": 30.663,
|
| 136 |
-
"step": 7000
|
| 137 |
-
}
|
| 138 |
-
],
|
| 139 |
-
"logging_steps": 1000,
|
| 140 |
-
"max_steps": 54228,
|
| 141 |
-
"num_input_tokens_seen": 0,
|
| 142 |
-
"num_train_epochs": 3,
|
| 143 |
-
"save_steps": 1000,
|
| 144 |
-
"stateful_callbacks": {
|
| 145 |
-
"TrainerControl": {
|
| 146 |
-
"args": {
|
| 147 |
-
"should_epoch_stop": false,
|
| 148 |
-
"should_evaluate": false,
|
| 149 |
-
"should_log": false,
|
| 150 |
-
"should_save": true,
|
| 151 |
-
"should_training_stop": false
|
| 152 |
-
},
|
| 153 |
-
"attributes": {}
|
| 154 |
-
}
|
| 155 |
-
},
|
| 156 |
-
"total_flos": 1829391492096000.0,
|
| 157 |
-
"train_batch_size": 8,
|
| 158 |
-
"trial_name": null,
|
| 159 |
-
"trial_params": null
|
| 160 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|