Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +214 -0
trainer_state.json
ADDED
|
@@ -0,0 +1,214 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 8271,
|
| 3 |
+
"best_metric": 0.8720680522378279,
|
| 4 |
+
"best_model_checkpoint": "outputs/hate-speech-detection/vihate-t5/checkpoint-8271",
|
| 5 |
+
"epoch": 9.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 8271,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.998911860718172,
|
| 14 |
+
"grad_norm": 4.305943965911865,
|
| 15 |
+
"learning_rate": 1.9996091589167148e-05,
|
| 16 |
+
"loss": 0.4014,
|
| 17 |
+
"step": 918
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.0,
|
| 21 |
+
"eval_accuracy": 0.8637209302325581,
|
| 22 |
+
"eval_f1": 0.8576683113718502,
|
| 23 |
+
"eval_loss": 0.3640185594558716,
|
| 24 |
+
"eval_precision": 0.8555800625765106,
|
| 25 |
+
"eval_recall": 0.8637209302325581,
|
| 26 |
+
"eval_runtime": 21.0759,
|
| 27 |
+
"eval_samples_per_second": 204.025,
|
| 28 |
+
"eval_steps_per_second": 6.405,
|
| 29 |
+
"step": 919
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 1.997823721436344,
|
| 33 |
+
"grad_norm": 5.548094272613525,
|
| 34 |
+
"learning_rate": 1.9982377977480694e-05,
|
| 35 |
+
"loss": 0.2814,
|
| 36 |
+
"step": 1836
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 2.0,
|
| 40 |
+
"eval_accuracy": 0.8716279069767442,
|
| 41 |
+
"eval_f1": 0.8649693053637155,
|
| 42 |
+
"eval_loss": 0.3619186580181122,
|
| 43 |
+
"eval_precision": 0.8605904079045565,
|
| 44 |
+
"eval_recall": 0.8716279069767442,
|
| 45 |
+
"eval_runtime": 21.0838,
|
| 46 |
+
"eval_samples_per_second": 203.948,
|
| 47 |
+
"eval_steps_per_second": 6.403,
|
| 48 |
+
"step": 1838
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.996735582154516,
|
| 52 |
+
"grad_norm": 8.380730628967285,
|
| 53 |
+
"learning_rate": 1.9958812963917564e-05,
|
| 54 |
+
"loss": 0.191,
|
| 55 |
+
"step": 2754
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 3.0,
|
| 59 |
+
"eval_accuracy": 0.87,
|
| 60 |
+
"eval_f1": 0.8628937123739281,
|
| 61 |
+
"eval_loss": 0.4661368429660797,
|
| 62 |
+
"eval_precision": 0.8588361297253848,
|
| 63 |
+
"eval_recall": 0.87,
|
| 64 |
+
"eval_runtime": 21.0807,
|
| 65 |
+
"eval_samples_per_second": 203.978,
|
| 66 |
+
"eval_steps_per_second": 6.404,
|
| 67 |
+
"step": 2757
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 3.995647442872688,
|
| 71 |
+
"grad_norm": 7.982128143310547,
|
| 72 |
+
"learning_rate": 1.992541980430111e-05,
|
| 73 |
+
"loss": 0.1179,
|
| 74 |
+
"step": 3672
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 4.0,
|
| 78 |
+
"eval_accuracy": 0.8588372093023255,
|
| 79 |
+
"eval_f1": 0.8598944782360041,
|
| 80 |
+
"eval_loss": 0.555857241153717,
|
| 81 |
+
"eval_precision": 0.8611954815216634,
|
| 82 |
+
"eval_recall": 0.8588372093023255,
|
| 83 |
+
"eval_runtime": 21.0689,
|
| 84 |
+
"eval_samples_per_second": 204.092,
|
| 85 |
+
"eval_steps_per_second": 6.408,
|
| 86 |
+
"step": 3676
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 4.99455930359086,
|
| 90 |
+
"grad_norm": 18.193098068237305,
|
| 91 |
+
"learning_rate": 1.9882231453648264e-05,
|
| 92 |
+
"loss": 0.0823,
|
| 93 |
+
"step": 4590
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 5.0,
|
| 97 |
+
"eval_accuracy": 0.8693023255813953,
|
| 98 |
+
"eval_f1": 0.8623605411584486,
|
| 99 |
+
"eval_loss": 0.8255857229232788,
|
| 100 |
+
"eval_precision": 0.8584079420364616,
|
| 101 |
+
"eval_recall": 0.8693023255813953,
|
| 102 |
+
"eval_runtime": 21.1139,
|
| 103 |
+
"eval_samples_per_second": 203.657,
|
| 104 |
+
"eval_steps_per_second": 6.394,
|
| 105 |
+
"step": 4595
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 5.993471164309032,
|
| 109 |
+
"grad_norm": 18.74983787536621,
|
| 110 |
+
"learning_rate": 1.982929053364693e-05,
|
| 111 |
+
"loss": 0.0574,
|
| 112 |
+
"step": 5508
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 6.0,
|
| 116 |
+
"eval_accuracy": 0.8744186046511628,
|
| 117 |
+
"eval_f1": 0.8661137464376901,
|
| 118 |
+
"eval_loss": 1.1137067079544067,
|
| 119 |
+
"eval_precision": 0.8612640241302489,
|
| 120 |
+
"eval_recall": 0.8744186046511628,
|
| 121 |
+
"eval_runtime": 21.0981,
|
| 122 |
+
"eval_samples_per_second": 203.81,
|
| 123 |
+
"eval_steps_per_second": 6.399,
|
| 124 |
+
"step": 5514
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 6.992383025027204,
|
| 128 |
+
"grad_norm": 26.94858169555664,
|
| 129 |
+
"learning_rate": 1.9766649290593513e-05,
|
| 130 |
+
"loss": 0.0508,
|
| 131 |
+
"step": 6426
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 7.0,
|
| 135 |
+
"eval_accuracy": 0.8586046511627907,
|
| 136 |
+
"eval_f1": 0.8607428207518112,
|
| 137 |
+
"eval_loss": 1.1956874132156372,
|
| 138 |
+
"eval_precision": 0.8631659432487684,
|
| 139 |
+
"eval_recall": 0.8586046511627907,
|
| 140 |
+
"eval_runtime": 21.1012,
|
| 141 |
+
"eval_samples_per_second": 203.78,
|
| 142 |
+
"eval_steps_per_second": 6.398,
|
| 143 |
+
"step": 6433
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 7.991294885745376,
|
| 147 |
+
"grad_norm": 0.0075432900339365005,
|
| 148 |
+
"learning_rate": 1.9694369543832138e-05,
|
| 149 |
+
"loss": 0.0413,
|
| 150 |
+
"step": 7344
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 8.0,
|
| 154 |
+
"eval_accuracy": 0.8758139534883721,
|
| 155 |
+
"eval_f1": 0.8665994257720897,
|
| 156 |
+
"eval_loss": 1.3685424327850342,
|
| 157 |
+
"eval_precision": 0.8617321415270166,
|
| 158 |
+
"eval_recall": 0.8758139534883721,
|
| 159 |
+
"eval_runtime": 21.0755,
|
| 160 |
+
"eval_samples_per_second": 204.029,
|
| 161 |
+
"eval_steps_per_second": 6.406,
|
| 162 |
+
"step": 7352
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 8.990206746463548,
|
| 166 |
+
"grad_norm": 0.007036261726170778,
|
| 167 |
+
"learning_rate": 1.9612522624746426e-05,
|
| 168 |
+
"loss": 0.0345,
|
| 169 |
+
"step": 8262
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 9.0,
|
| 173 |
+
"eval_accuracy": 0.881860465116279,
|
| 174 |
+
"eval_f1": 0.8720680522378279,
|
| 175 |
+
"eval_loss": 1.4441194534301758,
|
| 176 |
+
"eval_precision": 0.8677296023078702,
|
| 177 |
+
"eval_recall": 0.881860465116279,
|
| 178 |
+
"eval_runtime": 21.0711,
|
| 179 |
+
"eval_samples_per_second": 204.071,
|
| 180 |
+
"eval_steps_per_second": 6.407,
|
| 181 |
+
"step": 8271
|
| 182 |
+
}
|
| 183 |
+
],
|
| 184 |
+
"logging_steps": 918,
|
| 185 |
+
"max_steps": 91900,
|
| 186 |
+
"num_input_tokens_seen": 0,
|
| 187 |
+
"num_train_epochs": 100,
|
| 188 |
+
"save_steps": 500,
|
| 189 |
+
"stateful_callbacks": {
|
| 190 |
+
"EarlyStoppingCallback": {
|
| 191 |
+
"args": {
|
| 192 |
+
"early_stopping_patience": 5,
|
| 193 |
+
"early_stopping_threshold": 0.0
|
| 194 |
+
},
|
| 195 |
+
"attributes": {
|
| 196 |
+
"early_stopping_patience_counter": 0
|
| 197 |
+
}
|
| 198 |
+
},
|
| 199 |
+
"TrainerControl": {
|
| 200 |
+
"args": {
|
| 201 |
+
"should_epoch_stop": false,
|
| 202 |
+
"should_evaluate": false,
|
| 203 |
+
"should_log": false,
|
| 204 |
+
"should_save": true,
|
| 205 |
+
"should_training_stop": false
|
| 206 |
+
},
|
| 207 |
+
"attributes": {}
|
| 208 |
+
}
|
| 209 |
+
},
|
| 210 |
+
"total_flos": 0.0,
|
| 211 |
+
"train_batch_size": 32,
|
| 212 |
+
"trial_name": null,
|
| 213 |
+
"trial_params": null
|
| 214 |
+
}
|