Training in progress, epoch 1
Browse files- all_results.json +15 -15
- eval_results.json +10 -10
- model.safetensors +1 -1
- runs/May28_13-21-32_RTX3090/events.out.tfevents.1716870364.RTX3090.312878.1 +3 -0
- runs/May28_14-57-40_RTX3090/events.out.tfevents.1716875862.RTX3090.403009.0 +3 -0
- train_results.json +6 -6
- trainer_state.json +138 -1646
- training_args.bin +1 -1
all_results.json
CHANGED
|
@@ -1,17 +1,17 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_AUC": 0.
|
| 4 |
-
"eval_F1": 0.
|
| 5 |
-
"eval_Precision": 0.
|
| 6 |
-
"eval_Recall": 0
|
| 7 |
-
"eval_accuracy": 0.
|
| 8 |
-
"eval_loss": 0.
|
| 9 |
-
"eval_runtime":
|
| 10 |
-
"eval_samples_per_second":
|
| 11 |
-
"eval_steps_per_second":
|
| 12 |
-
"total_flos":
|
| 13 |
-
"train_loss": 0.
|
| 14 |
-
"train_runtime":
|
| 15 |
-
"train_samples_per_second":
|
| 16 |
-
"train_steps_per_second":
|
| 17 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 12.0,
|
| 3 |
+
"eval_AUC": 0.9545454545454545,
|
| 4 |
+
"eval_F1": 0.9735863095238095,
|
| 5 |
+
"eval_Precision": 0.9896373056994818,
|
| 6 |
+
"eval_Recall": 1.0,
|
| 7 |
+
"eval_accuracy": 0.9906103286384976,
|
| 8 |
+
"eval_loss": 0.048169028013944626,
|
| 9 |
+
"eval_runtime": 4.3355,
|
| 10 |
+
"eval_samples_per_second": 49.129,
|
| 11 |
+
"eval_steps_per_second": 3.229,
|
| 12 |
+
"total_flos": 7.894883901934633e+17,
|
| 13 |
+
"train_loss": 0.09885871769101531,
|
| 14 |
+
"train_runtime": 224.7245,
|
| 15 |
+
"train_samples_per_second": 45.336,
|
| 16 |
+
"train_steps_per_second": 2.884
|
| 17 |
}
|
eval_results.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_AUC": 0.
|
| 4 |
-
"eval_F1": 0.
|
| 5 |
-
"eval_Precision": 0.
|
| 6 |
-
"eval_Recall": 0
|
| 7 |
-
"eval_accuracy": 0.
|
| 8 |
-
"eval_loss": 0.
|
| 9 |
-
"eval_runtime":
|
| 10 |
-
"eval_samples_per_second":
|
| 11 |
-
"eval_steps_per_second":
|
| 12 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 12.0,
|
| 3 |
+
"eval_AUC": 0.9545454545454545,
|
| 4 |
+
"eval_F1": 0.9735863095238095,
|
| 5 |
+
"eval_Precision": 0.9896373056994818,
|
| 6 |
+
"eval_Recall": 1.0,
|
| 7 |
+
"eval_accuracy": 0.9906103286384976,
|
| 8 |
+
"eval_loss": 0.048169028013944626,
|
| 9 |
+
"eval_runtime": 4.3355,
|
| 10 |
+
"eval_samples_per_second": 49.129,
|
| 11 |
+
"eval_steps_per_second": 3.229
|
| 12 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343223968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af75b5d80d0a947cbd9ccf5fce3cf17bcc53c8b31f24138f4c52358b89462ed7
|
| 3 |
size 343223968
|
runs/May28_13-21-32_RTX3090/events.out.tfevents.1716870364.RTX3090.312878.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea0c02ec4c231738dccbe81706e8bdee921bd1a6353b4dcfb38784072d734295
|
| 3 |
+
size 607
|
runs/May28_14-57-40_RTX3090/events.out.tfevents.1716875862.RTX3090.403009.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7ff672a01754c2181d5bc35fdf6a89a182590e6a44bc0294462fdc674b2a348
|
| 3 |
+
size 5634
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 12.0,
|
| 3 |
+
"total_flos": 7.894883901934633e+17,
|
| 4 |
+
"train_loss": 0.09885871769101531,
|
| 5 |
+
"train_runtime": 224.7245,
|
| 6 |
+
"train_samples_per_second": 45.336,
|
| 7 |
+
"train_steps_per_second": 2.884
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,1705 +1,197 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "google/vit-base-patch16-224-in21k_covid_19_ct_scans/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm": 3.
|
| 14 |
-
"learning_rate": 0.
|
| 15 |
-
"loss": 0.
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 1.0,
|
| 20 |
"eval_AUC": 0.5,
|
| 21 |
-
"eval_F1": 0.
|
| 22 |
-
"eval_Precision": 0.
|
| 23 |
"eval_Recall": 1.0,
|
| 24 |
-
"eval_accuracy": 0.
|
| 25 |
-
"eval_loss": 0.
|
| 26 |
-
"eval_runtime":
|
| 27 |
-
"eval_samples_per_second":
|
| 28 |
-
"eval_steps_per_second":
|
| 29 |
-
"step":
|
| 30 |
-
},
|
| 31 |
-
{
|
| 32 |
-
"epoch": 1.8796992481203008,
|
| 33 |
-
"grad_norm": 0.9518311023712158,
|
| 34 |
-
"learning_rate": 0.0001962406015037594,
|
| 35 |
-
"loss": 0.4516,
|
| 36 |
-
"step": 500
|
| 37 |
},
|
| 38 |
{
|
| 39 |
"epoch": 2.0,
|
| 40 |
"eval_AUC": 0.5,
|
| 41 |
-
"eval_F1": 0.
|
| 42 |
-
"eval_Precision": 0.
|
| 43 |
"eval_Recall": 1.0,
|
| 44 |
-
"eval_accuracy": 0.
|
| 45 |
-
"eval_loss": 0.
|
| 46 |
-
"eval_runtime":
|
| 47 |
-
"eval_samples_per_second":
|
| 48 |
-
"eval_steps_per_second":
|
| 49 |
-
"step":
|
| 50 |
},
|
| 51 |
{
|
| 52 |
"epoch": 3.0,
|
| 53 |
-
"eval_AUC": 0.
|
| 54 |
-
"eval_F1": 0.
|
| 55 |
-
"eval_Precision": 0.
|
| 56 |
"eval_Recall": 1.0,
|
| 57 |
-
"eval_accuracy": 0.
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_runtime":
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second":
|
| 62 |
-
"step":
|
| 63 |
-
},
|
| 64 |
-
{
|
| 65 |
-
"epoch": 3.7593984962406015,
|
| 66 |
-
"grad_norm": 0.6577199101448059,
|
| 67 |
-
"learning_rate": 0.0001924812030075188,
|
| 68 |
-
"loss": 0.4521,
|
| 69 |
-
"step": 1000
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 4.0,
|
| 73 |
-
"eval_AUC": 0.
|
| 74 |
-
"eval_F1": 0.
|
| 75 |
-
"eval_Precision": 0.
|
| 76 |
"eval_Recall": 1.0,
|
| 77 |
-
"eval_accuracy": 0.
|
| 78 |
-
"eval_loss": 0.
|
| 79 |
-
"eval_runtime":
|
| 80 |
-
"eval_samples_per_second":
|
| 81 |
-
"eval_steps_per_second":
|
| 82 |
-
"step":
|
| 83 |
},
|
| 84 |
{
|
| 85 |
"epoch": 5.0,
|
| 86 |
-
"eval_AUC": 0.
|
| 87 |
-
"eval_F1": 0.
|
| 88 |
-
"eval_Precision": 0.
|
| 89 |
"eval_Recall": 1.0,
|
| 90 |
-
"eval_accuracy": 0.
|
| 91 |
-
"eval_loss": 0.
|
| 92 |
-
"eval_runtime":
|
| 93 |
-
"eval_samples_per_second":
|
| 94 |
-
"eval_steps_per_second":
|
| 95 |
-
"step":
|
| 96 |
-
},
|
| 97 |
-
{
|
| 98 |
-
"epoch": 5.639097744360902,
|
| 99 |
-
"grad_norm": 0.03062070906162262,
|
| 100 |
-
"learning_rate": 0.00018872180451127822,
|
| 101 |
-
"loss": 0.4415,
|
| 102 |
-
"step": 1500
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 6.0,
|
| 106 |
-
"eval_AUC": 0.
|
| 107 |
-
"eval_F1": 0.
|
| 108 |
-
"eval_Precision": 0.
|
| 109 |
-
"eval_Recall":
|
| 110 |
-
"eval_accuracy": 0.
|
| 111 |
-
"eval_loss": 0.
|
| 112 |
-
"eval_runtime":
|
| 113 |
-
"eval_samples_per_second":
|
| 114 |
-
"eval_steps_per_second":
|
| 115 |
-
"step":
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 7.0,
|
| 119 |
-
"eval_AUC": 0.
|
| 120 |
-
"eval_F1": 0.
|
| 121 |
-
"eval_Precision": 0.
|
| 122 |
-
"eval_Recall":
|
| 123 |
-
"eval_accuracy": 0.
|
| 124 |
-
"eval_loss": 0.
|
| 125 |
-
"eval_runtime":
|
| 126 |
-
"eval_samples_per_second":
|
| 127 |
-
"eval_steps_per_second":
|
| 128 |
-
"step":
|
| 129 |
-
},
|
| 130 |
-
{
|
| 131 |
-
"epoch": 7.518796992481203,
|
| 132 |
-
"grad_norm": 0.4491100311279297,
|
| 133 |
-
"learning_rate": 0.0001849624060150376,
|
| 134 |
-
"loss": 0.4344,
|
| 135 |
-
"step": 2000
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 8.0,
|
| 139 |
-
"eval_AUC": 0.
|
| 140 |
-
"eval_F1": 0.
|
| 141 |
-
"eval_Precision": 0.
|
| 142 |
-
"eval_Recall": 0
|
| 143 |
-
"eval_accuracy": 0.
|
| 144 |
-
"eval_loss": 0.
|
| 145 |
-
"eval_runtime":
|
| 146 |
-
"eval_samples_per_second":
|
| 147 |
-
"eval_steps_per_second":
|
| 148 |
-
"step":
|
| 149 |
},
|
| 150 |
{
|
| 151 |
"epoch": 9.0,
|
| 152 |
-
"eval_AUC": 0.
|
| 153 |
-
"eval_F1": 0.
|
| 154 |
-
"eval_Precision": 0.
|
| 155 |
-
"eval_Recall": 0
|
| 156 |
-
"eval_accuracy": 0.
|
| 157 |
-
"eval_loss": 0.
|
| 158 |
-
"eval_runtime":
|
| 159 |
-
"eval_samples_per_second":
|
| 160 |
-
"eval_steps_per_second":
|
| 161 |
-
"step":
|
| 162 |
-
},
|
| 163 |
-
{
|
| 164 |
-
"epoch": 9.
|
| 165 |
-
"grad_norm": 0.
|
| 166 |
-
"learning_rate":
|
| 167 |
-
"loss": 0.
|
| 168 |
-
"step":
|
| 169 |
},
|
| 170 |
{
|
| 171 |
"epoch": 10.0,
|
| 172 |
-
"eval_AUC": 0.
|
| 173 |
-
"eval_F1": 0.
|
| 174 |
-
"eval_Precision": 0.
|
| 175 |
-
"eval_Recall": 0
|
| 176 |
-
"eval_accuracy": 0.
|
| 177 |
-
"eval_loss": 0.
|
| 178 |
-
"eval_runtime":
|
| 179 |
-
"eval_samples_per_second":
|
| 180 |
-
"eval_steps_per_second":
|
| 181 |
-
"step":
|
| 182 |
},
|
| 183 |
{
|
| 184 |
"epoch": 11.0,
|
| 185 |
-
"eval_AUC": 0.
|
| 186 |
-
"eval_F1": 0.
|
| 187 |
-
"eval_Precision": 0.
|
| 188 |
-
"eval_Recall": 0
|
| 189 |
-
"eval_accuracy": 0.
|
| 190 |
-
"eval_loss": 0.
|
| 191 |
-
"eval_runtime":
|
| 192 |
-
"eval_samples_per_second":
|
| 193 |
-
"eval_steps_per_second":
|
| 194 |
-
"step":
|
| 195 |
-
},
|
| 196 |
-
{
|
| 197 |
-
"epoch": 11.278195488721805,
|
| 198 |
-
"grad_norm": 0.8828286528587341,
|
| 199 |
-
"learning_rate": 0.0001774436090225564,
|
| 200 |
-
"loss": 0.2882,
|
| 201 |
-
"step": 3000
|
| 202 |
},
|
| 203 |
{
|
| 204 |
"epoch": 12.0,
|
| 205 |
-
"eval_AUC": 0.
|
| 206 |
-
"eval_F1": 0.
|
| 207 |
-
"eval_Precision": 0.
|
| 208 |
-
"eval_Recall": 0
|
| 209 |
-
"eval_accuracy": 0.
|
| 210 |
-
"eval_loss": 0.
|
| 211 |
-
"eval_runtime":
|
| 212 |
-
"eval_samples_per_second":
|
| 213 |
-
"eval_steps_per_second":
|
| 214 |
-
"step":
|
| 215 |
-
},
|
| 216 |
-
{
|
| 217 |
-
"epoch": 13.0,
|
| 218 |
-
"eval_AUC": 0.6362624959690422,
|
| 219 |
-
"eval_F1": 0.6636744500641045,
|
| 220 |
-
"eval_Precision": 0.8761609907120743,
|
| 221 |
-
"eval_Recall": 0.9582392776523702,
|
| 222 |
-
"eval_accuracy": 0.8520263901979265,
|
| 223 |
-
"eval_loss": 0.46198517084121704,
|
| 224 |
-
"eval_runtime": 11.833,
|
| 225 |
-
"eval_samples_per_second": 89.665,
|
| 226 |
-
"eval_steps_per_second": 5.662,
|
| 227 |
-
"step": 3458
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 13.157894736842104,
|
| 231 |
-
"grad_norm": 0.10690835863351822,
|
| 232 |
-
"learning_rate": 0.0001736842105263158,
|
| 233 |
-
"loss": 0.1654,
|
| 234 |
-
"step": 3500
|
| 235 |
-
},
|
| 236 |
-
{
|
| 237 |
-
"epoch": 14.0,
|
| 238 |
-
"eval_AUC": 0.7246952595936795,
|
| 239 |
-
"eval_F1": 0.7141794985075913,
|
| 240 |
-
"eval_Precision": 0.9109826589595376,
|
| 241 |
-
"eval_Recall": 0.8893905191873589,
|
| 242 |
-
"eval_accuracy": 0.8350612629594723,
|
| 243 |
-
"eval_loss": 0.58914715051651,
|
| 244 |
-
"eval_runtime": 12.2166,
|
| 245 |
-
"eval_samples_per_second": 86.849,
|
| 246 |
-
"eval_steps_per_second": 5.484,
|
| 247 |
-
"step": 3724
|
| 248 |
-
},
|
| 249 |
-
{
|
| 250 |
-
"epoch": 15.0,
|
| 251 |
-
"eval_AUC": 0.6827894227668494,
|
| 252 |
-
"eval_F1": 0.6940221645449677,
|
| 253 |
-
"eval_Precision": 0.893640350877193,
|
| 254 |
-
"eval_Recall": 0.9198645598194131,
|
| 255 |
-
"eval_accuracy": 0.8416588124410933,
|
| 256 |
-
"eval_loss": 0.5601742267608643,
|
| 257 |
-
"eval_runtime": 12.0344,
|
| 258 |
-
"eval_samples_per_second": 88.164,
|
| 259 |
-
"eval_steps_per_second": 5.567,
|
| 260 |
-
"step": 3990
|
| 261 |
-
},
|
| 262 |
-
{
|
| 263 |
-
"epoch": 15.037593984962406,
|
| 264 |
-
"grad_norm": 0.1679229587316513,
|
| 265 |
-
"learning_rate": 0.0001699248120300752,
|
| 266 |
-
"loss": 0.0868,
|
| 267 |
-
"step": 4000
|
| 268 |
-
},
|
| 269 |
-
{
|
| 270 |
-
"epoch": 16.0,
|
| 271 |
-
"eval_AUC": 0.6785198323121573,
|
| 272 |
-
"eval_F1": 0.7114280962304207,
|
| 273 |
-
"eval_Precision": 0.8894681960375391,
|
| 274 |
-
"eval_Recall": 0.9627539503386005,
|
| 275 |
-
"eval_accuracy": 0.8689915174363808,
|
| 276 |
-
"eval_loss": 0.5927982926368713,
|
| 277 |
-
"eval_runtime": 11.7748,
|
| 278 |
-
"eval_samples_per_second": 90.107,
|
| 279 |
-
"eval_steps_per_second": 5.69,
|
| 280 |
-
"step": 4256
|
| 281 |
-
},
|
| 282 |
-
{
|
| 283 |
-
"epoch": 16.917293233082706,
|
| 284 |
-
"grad_norm": 0.02159872278571129,
|
| 285 |
-
"learning_rate": 0.00016616541353383458,
|
| 286 |
-
"loss": 0.045,
|
| 287 |
-
"step": 4500
|
| 288 |
-
},
|
| 289 |
-
{
|
| 290 |
-
"epoch": 17.0,
|
| 291 |
-
"eval_AUC": 0.7072331505965818,
|
| 292 |
-
"eval_F1": 0.7268478980719824,
|
| 293 |
-
"eval_Precision": 0.9005405405405406,
|
| 294 |
-
"eval_Recall": 0.9401805869074492,
|
| 295 |
-
"eval_accuracy": 0.8633364750235627,
|
| 296 |
-
"eval_loss": 0.6153913140296936,
|
| 297 |
-
"eval_runtime": 11.9361,
|
| 298 |
-
"eval_samples_per_second": 88.89,
|
| 299 |
-
"eval_steps_per_second": 5.613,
|
| 300 |
-
"step": 4522
|
| 301 |
-
},
|
| 302 |
-
{
|
| 303 |
-
"epoch": 18.0,
|
| 304 |
-
"eval_AUC": 0.7169332473395679,
|
| 305 |
-
"eval_F1": 0.7369669924918544,
|
| 306 |
-
"eval_Precision": 0.9036796536796536,
|
| 307 |
-
"eval_Recall": 0.9424379232505643,
|
| 308 |
-
"eval_accuracy": 0.8680490103675778,
|
| 309 |
-
"eval_loss": 0.6357868909835815,
|
| 310 |
-
"eval_runtime": 11.728,
|
| 311 |
-
"eval_samples_per_second": 90.467,
|
| 312 |
-
"eval_steps_per_second": 5.713,
|
| 313 |
-
"step": 4788
|
| 314 |
-
},
|
| 315 |
-
{
|
| 316 |
-
"epoch": 18.796992481203006,
|
| 317 |
-
"grad_norm": 0.00539048295468092,
|
| 318 |
-
"learning_rate": 0.00016240601503759398,
|
| 319 |
-
"loss": 0.021,
|
| 320 |
-
"step": 5000
|
| 321 |
-
},
|
| 322 |
-
{
|
| 323 |
-
"epoch": 19.0,
|
| 324 |
-
"eval_AUC": 0.7422960335375686,
|
| 325 |
-
"eval_F1": 0.737905217953103,
|
| 326 |
-
"eval_Precision": 0.9157175398633257,
|
| 327 |
-
"eval_Recall": 0.90744920993228,
|
| 328 |
-
"eval_accuracy": 0.8529688972667295,
|
| 329 |
-
"eval_loss": 0.8246906399726868,
|
| 330 |
-
"eval_runtime": 11.7691,
|
| 331 |
-
"eval_samples_per_second": 90.151,
|
| 332 |
-
"eval_steps_per_second": 5.693,
|
| 333 |
-
"step": 5054
|
| 334 |
-
},
|
| 335 |
-
{
|
| 336 |
-
"epoch": 20.0,
|
| 337 |
-
"eval_AUC": 0.7228603676233473,
|
| 338 |
-
"eval_F1": 0.7228603676233474,
|
| 339 |
-
"eval_Precision": 0.9085778781038375,
|
| 340 |
-
"eval_Recall": 0.9085778781038375,
|
| 341 |
-
"eval_accuracy": 0.8473138548539114,
|
| 342 |
-
"eval_loss": 0.9930059909820557,
|
| 343 |
-
"eval_runtime": 11.643,
|
| 344 |
-
"eval_samples_per_second": 91.128,
|
| 345 |
-
"eval_steps_per_second": 5.755,
|
| 346 |
-
"step": 5320
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"epoch": 20.67669172932331,
|
| 350 |
-
"grad_norm": 1.4996395111083984,
|
| 351 |
-
"learning_rate": 0.0001586466165413534,
|
| 352 |
-
"loss": 0.0136,
|
| 353 |
-
"step": 5500
|
| 354 |
-
},
|
| 355 |
-
{
|
| 356 |
-
"epoch": 21.0,
|
| 357 |
-
"eval_AUC": 0.7037762012254112,
|
| 358 |
-
"eval_F1": 0.7262231926161842,
|
| 359 |
-
"eval_Precision": 0.8990332975295381,
|
| 360 |
-
"eval_Recall": 0.9446952595936795,
|
| 361 |
-
"eval_accuracy": 0.8652214891611687,
|
| 362 |
-
"eval_loss": 0.5600523352622986,
|
| 363 |
-
"eval_runtime": 11.6192,
|
| 364 |
-
"eval_samples_per_second": 91.315,
|
| 365 |
-
"eval_steps_per_second": 5.766,
|
| 366 |
-
"step": 5586
|
| 367 |
-
},
|
| 368 |
-
{
|
| 369 |
-
"epoch": 22.0,
|
| 370 |
-
"eval_AUC": 0.6561560786842955,
|
| 371 |
-
"eval_F1": 0.6934912580385852,
|
| 372 |
-
"eval_Precision": 0.8816326530612245,
|
| 373 |
-
"eval_Recall": 0.9751693002257337,
|
| 374 |
-
"eval_accuracy": 0.8699340245051838,
|
| 375 |
-
"eval_loss": 0.64747554063797,
|
| 376 |
-
"eval_runtime": 11.5363,
|
| 377 |
-
"eval_samples_per_second": 91.971,
|
| 378 |
-
"eval_steps_per_second": 5.808,
|
| 379 |
-
"step": 5852
|
| 380 |
-
},
|
| 381 |
-
{
|
| 382 |
-
"epoch": 22.55639097744361,
|
| 383 |
-
"grad_norm": 0.029281923547387123,
|
| 384 |
-
"learning_rate": 0.0001548872180451128,
|
| 385 |
-
"loss": 0.0464,
|
| 386 |
-
"step": 6000
|
| 387 |
-
},
|
| 388 |
-
{
|
| 389 |
-
"epoch": 23.0,
|
| 390 |
-
"eval_AUC": 0.7170396646243147,
|
| 391 |
-
"eval_F1": 0.7272862554112554,
|
| 392 |
-
"eval_Precision": 0.9050772626931567,
|
| 393 |
-
"eval_Recall": 0.9255079006772009,
|
| 394 |
-
"eval_accuracy": 0.8567389255419415,
|
| 395 |
-
"eval_loss": 0.5766553282737732,
|
| 396 |
-
"eval_runtime": 11.6613,
|
| 397 |
-
"eval_samples_per_second": 90.984,
|
| 398 |
-
"eval_steps_per_second": 5.745,
|
| 399 |
-
"step": 6118
|
| 400 |
-
},
|
| 401 |
-
{
|
| 402 |
-
"epoch": 24.0,
|
| 403 |
-
"eval_AUC": 0.7451886488229603,
|
| 404 |
-
"eval_F1": 0.736944199717763,
|
| 405 |
-
"eval_Precision": 0.9173363949483353,
|
| 406 |
-
"eval_Recall": 0.9018058690744921,
|
| 407 |
-
"eval_accuracy": 0.8501413760603205,
|
| 408 |
-
"eval_loss": 0.7393656373023987,
|
| 409 |
-
"eval_runtime": 11.8414,
|
| 410 |
-
"eval_samples_per_second": 89.601,
|
| 411 |
-
"eval_steps_per_second": 5.658,
|
| 412 |
-
"step": 6384
|
| 413 |
-
},
|
| 414 |
-
{
|
| 415 |
-
"epoch": 24.43609022556391,
|
| 416 |
-
"grad_norm": 0.0072451187297701836,
|
| 417 |
-
"learning_rate": 0.00015112781954887218,
|
| 418 |
-
"loss": 0.0438,
|
| 419 |
-
"step": 6500
|
| 420 |
-
},
|
| 421 |
-
{
|
| 422 |
-
"epoch": 25.0,
|
| 423 |
-
"eval_AUC": 0.6412705578845533,
|
| 424 |
-
"eval_F1": 0.6781337216357238,
|
| 425 |
-
"eval_Precision": 0.8767676767676768,
|
| 426 |
-
"eval_Recall": 0.9796839729119639,
|
| 427 |
-
"eval_accuracy": 0.8680490103675778,
|
| 428 |
-
"eval_loss": 0.762208878993988,
|
| 429 |
-
"eval_runtime": 11.8755,
|
| 430 |
-
"eval_samples_per_second": 89.344,
|
| 431 |
-
"eval_steps_per_second": 5.642,
|
| 432 |
-
"step": 6650
|
| 433 |
-
},
|
| 434 |
-
{
|
| 435 |
-
"epoch": 26.0,
|
| 436 |
-
"eval_AUC": 0.7167913576265721,
|
| 437 |
-
"eval_F1": 0.7509163334545014,
|
| 438 |
-
"eval_Precision": 0.9018987341772152,
|
| 439 |
-
"eval_Recall": 0.9650112866817155,
|
| 440 |
-
"eval_accuracy": 0.883129123468426,
|
| 441 |
-
"eval_loss": 0.7616934180259705,
|
| 442 |
-
"eval_runtime": 11.673,
|
| 443 |
-
"eval_samples_per_second": 90.893,
|
| 444 |
-
"eval_steps_per_second": 5.74,
|
| 445 |
-
"step": 6916
|
| 446 |
-
},
|
| 447 |
-
{
|
| 448 |
-
"epoch": 26.31578947368421,
|
| 449 |
-
"grad_norm": 0.005205586086958647,
|
| 450 |
-
"learning_rate": 0.00014736842105263158,
|
| 451 |
-
"loss": 0.0126,
|
| 452 |
-
"step": 7000
|
| 453 |
-
},
|
| 454 |
-
{
|
| 455 |
-
"epoch": 27.0,
|
| 456 |
-
"eval_AUC": 0.7227184779103515,
|
| 457 |
-
"eval_F1": 0.7354277398991624,
|
| 458 |
-
"eval_Precision": 0.9065934065934066,
|
| 459 |
-
"eval_Recall": 0.9311512415349887,
|
| 460 |
-
"eval_accuracy": 0.8623939679547596,
|
| 461 |
-
"eval_loss": 0.8840720653533936,
|
| 462 |
-
"eval_runtime": 12.2613,
|
| 463 |
-
"eval_samples_per_second": 86.533,
|
| 464 |
-
"eval_steps_per_second": 5.464,
|
| 465 |
-
"step": 7182
|
| 466 |
-
},
|
| 467 |
-
{
|
| 468 |
-
"epoch": 28.0,
|
| 469 |
-
"eval_AUC": 0.7300193485972267,
|
| 470 |
-
"eval_F1": 0.7543650900476486,
|
| 471 |
-
"eval_Precision": 0.907427341227126,
|
| 472 |
-
"eval_Recall": 0.9514672686230248,
|
| 473 |
-
"eval_accuracy": 0.8784165881244109,
|
| 474 |
-
"eval_loss": 0.7538221478462219,
|
| 475 |
-
"eval_runtime": 11.7032,
|
| 476 |
-
"eval_samples_per_second": 90.659,
|
| 477 |
-
"eval_steps_per_second": 5.725,
|
| 478 |
-
"step": 7448
|
| 479 |
-
},
|
| 480 |
-
{
|
| 481 |
-
"epoch": 28.195488721804512,
|
| 482 |
-
"grad_norm": 0.03350173309445381,
|
| 483 |
-
"learning_rate": 0.000143609022556391,
|
| 484 |
-
"loss": 0.016,
|
| 485 |
-
"step": 7500
|
| 486 |
-
},
|
| 487 |
-
{
|
| 488 |
-
"epoch": 29.0,
|
| 489 |
-
"eval_AUC": 0.6320638503708481,
|
| 490 |
-
"eval_F1": 0.6709177157453019,
|
| 491 |
-
"eval_Precision": 0.8735059760956175,
|
| 492 |
-
"eval_Recall": 0.989841986455982,
|
| 493 |
-
"eval_accuracy": 0.8718190386427899,
|
| 494 |
-
"eval_loss": 0.7105740308761597,
|
| 495 |
-
"eval_runtime": 11.7867,
|
| 496 |
-
"eval_samples_per_second": 90.017,
|
| 497 |
-
"eval_steps_per_second": 5.684,
|
| 498 |
-
"step": 7714
|
| 499 |
-
},
|
| 500 |
-
{
|
| 501 |
-
"epoch": 30.0,
|
| 502 |
-
"eval_AUC": 0.689348597226701,
|
| 503 |
-
"eval_F1": 0.72511658580244,
|
| 504 |
-
"eval_Precision": 0.8927083333333333,
|
| 505 |
-
"eval_Recall": 0.9672686230248307,
|
| 506 |
-
"eval_accuracy": 0.8755890669180019,
|
| 507 |
-
"eval_loss": 0.6111597418785095,
|
| 508 |
-
"eval_runtime": 11.7504,
|
| 509 |
-
"eval_samples_per_second": 90.295,
|
| 510 |
-
"eval_steps_per_second": 5.702,
|
| 511 |
-
"step": 7980
|
| 512 |
-
},
|
| 513 |
-
{
|
| 514 |
-
"epoch": 30.075187969924812,
|
| 515 |
-
"grad_norm": 0.013551408424973488,
|
| 516 |
-
"learning_rate": 0.0001398496240601504,
|
| 517 |
-
"loss": 0.0384,
|
| 518 |
-
"step": 8000
|
| 519 |
-
},
|
| 520 |
-
{
|
| 521 |
-
"epoch": 31.0,
|
| 522 |
-
"eval_AUC": 0.6887487907126733,
|
| 523 |
-
"eval_F1": 0.7271465907527794,
|
| 524 |
-
"eval_Precision": 0.8922279792746114,
|
| 525 |
-
"eval_Recall": 0.9717832957110609,
|
| 526 |
-
"eval_accuracy": 0.8784165881244109,
|
| 527 |
-
"eval_loss": 0.5990052223205566,
|
| 528 |
-
"eval_runtime": 11.854,
|
| 529 |
-
"eval_samples_per_second": 89.506,
|
| 530 |
-
"eval_steps_per_second": 5.652,
|
| 531 |
-
"step": 8246
|
| 532 |
-
},
|
| 533 |
-
{
|
| 534 |
-
"epoch": 31.954887218045112,
|
| 535 |
-
"grad_norm": 0.10003461688756943,
|
| 536 |
-
"learning_rate": 0.0001360902255639098,
|
| 537 |
-
"loss": 0.0276,
|
| 538 |
-
"step": 8500
|
| 539 |
-
},
|
| 540 |
-
{
|
| 541 |
-
"epoch": 32.0,
|
| 542 |
-
"eval_AUC": 0.699577555627217,
|
| 543 |
-
"eval_F1": 0.741136709063275,
|
| 544 |
-
"eval_Precision": 0.8954451345755694,
|
| 545 |
-
"eval_Recall": 0.9762979683972912,
|
| 546 |
-
"eval_accuracy": 0.8850141376060321,
|
| 547 |
-
"eval_loss": 0.6617034673690796,
|
| 548 |
-
"eval_runtime": 11.7353,
|
| 549 |
-
"eval_samples_per_second": 90.411,
|
| 550 |
-
"eval_steps_per_second": 5.709,
|
| 551 |
-
"step": 8512
|
| 552 |
-
},
|
| 553 |
-
{
|
| 554 |
-
"epoch": 33.0,
|
| 555 |
-
"eval_AUC": 0.7190132215414382,
|
| 556 |
-
"eval_F1": 0.7599135442188549,
|
| 557 |
-
"eval_Precision": 0.9018789144050104,
|
| 558 |
-
"eval_Recall": 0.9751693002257337,
|
| 559 |
-
"eval_accuracy": 0.8906691800188501,
|
| 560 |
-
"eval_loss": 0.7068904042243958,
|
| 561 |
-
"eval_runtime": 11.6304,
|
| 562 |
-
"eval_samples_per_second": 91.226,
|
| 563 |
-
"eval_steps_per_second": 5.761,
|
| 564 |
-
"step": 8778
|
| 565 |
-
},
|
| 566 |
-
{
|
| 567 |
-
"epoch": 33.83458646616541,
|
| 568 |
-
"grad_norm": 0.00604345602914691,
|
| 569 |
-
"learning_rate": 0.00013233082706766918,
|
| 570 |
-
"loss": 0.0109,
|
| 571 |
-
"step": 9000
|
| 572 |
-
},
|
| 573 |
-
{
|
| 574 |
-
"epoch": 34.0,
|
| 575 |
-
"eval_AUC": 0.6566849403418252,
|
| 576 |
-
"eval_F1": 0.6974271887335782,
|
| 577 |
-
"eval_Precision": 0.8814589665653495,
|
| 578 |
-
"eval_Recall": 0.981941309255079,
|
| 579 |
-
"eval_accuracy": 0.8746465598491989,
|
| 580 |
-
"eval_loss": 0.8042259812355042,
|
| 581 |
-
"eval_runtime": 11.739,
|
| 582 |
-
"eval_samples_per_second": 90.382,
|
| 583 |
-
"eval_steps_per_second": 5.707,
|
| 584 |
-
"step": 9044
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 35.0,
|
| 588 |
-
"eval_AUC": 0.6961560786842954,
|
| 589 |
-
"eval_F1": 0.7368930485561156,
|
| 590 |
-
"eval_Precision": 0.8944099378881988,
|
| 591 |
-
"eval_Recall": 0.9751693002257337,
|
| 592 |
-
"eval_accuracy": 0.883129123468426,
|
| 593 |
-
"eval_loss": 0.7705923914909363,
|
| 594 |
-
"eval_runtime": 11.6824,
|
| 595 |
-
"eval_samples_per_second": 90.821,
|
| 596 |
-
"eval_steps_per_second": 5.735,
|
| 597 |
-
"step": 9310
|
| 598 |
-
},
|
| 599 |
-
{
|
| 600 |
-
"epoch": 35.714285714285715,
|
| 601 |
-
"grad_norm": 0.0020399852655828,
|
| 602 |
-
"learning_rate": 0.00012857142857142858,
|
| 603 |
-
"loss": 0.0028,
|
| 604 |
-
"step": 9500
|
| 605 |
-
},
|
| 606 |
-
{
|
| 607 |
-
"epoch": 36.0,
|
| 608 |
-
"eval_AUC": 0.712170267655595,
|
| 609 |
-
"eval_F1": 0.7516347009160568,
|
| 610 |
-
"eval_Precision": 0.8997912317327766,
|
| 611 |
-
"eval_Recall": 0.9729119638826185,
|
| 612 |
-
"eval_accuracy": 0.8868991517436381,
|
| 613 |
-
"eval_loss": 0.8394030928611755,
|
| 614 |
-
"eval_runtime": 11.8855,
|
| 615 |
-
"eval_samples_per_second": 89.268,
|
| 616 |
-
"eval_steps_per_second": 5.637,
|
| 617 |
-
"step": 9576
|
| 618 |
-
},
|
| 619 |
-
{
|
| 620 |
-
"epoch": 37.0,
|
| 621 |
-
"eval_AUC": 0.7087487907126733,
|
| 622 |
-
"eval_F1": 0.7474952792646576,
|
| 623 |
-
"eval_Precision": 0.8987473903966597,
|
| 624 |
-
"eval_Recall": 0.9717832957110609,
|
| 625 |
-
"eval_accuracy": 0.8850141376060321,
|
| 626 |
-
"eval_loss": 0.8953573107719421,
|
| 627 |
-
"eval_runtime": 11.8186,
|
| 628 |
-
"eval_samples_per_second": 89.774,
|
| 629 |
-
"eval_steps_per_second": 5.669,
|
| 630 |
-
"step": 9842
|
| 631 |
-
},
|
| 632 |
-
{
|
| 633 |
-
"epoch": 37.59398496240601,
|
| 634 |
-
"grad_norm": 0.0010929929558187723,
|
| 635 |
-
"learning_rate": 0.00012481203007518797,
|
| 636 |
-
"loss": 0.0076,
|
| 637 |
-
"step": 10000
|
| 638 |
-
},
|
| 639 |
-
{
|
| 640 |
-
"epoch": 38.0,
|
| 641 |
-
"eval_AUC": 0.7087487907126733,
|
| 642 |
-
"eval_F1": 0.7474952792646576,
|
| 643 |
-
"eval_Precision": 0.8987473903966597,
|
| 644 |
-
"eval_Recall": 0.9717832957110609,
|
| 645 |
-
"eval_accuracy": 0.8850141376060321,
|
| 646 |
-
"eval_loss": 0.9388997554779053,
|
| 647 |
-
"eval_runtime": 11.6255,
|
| 648 |
-
"eval_samples_per_second": 91.265,
|
| 649 |
-
"eval_steps_per_second": 5.763,
|
| 650 |
-
"step": 10108
|
| 651 |
-
},
|
| 652 |
-
{
|
| 653 |
-
"epoch": 39.0,
|
| 654 |
-
"eval_AUC": 0.7087487907126733,
|
| 655 |
-
"eval_F1": 0.7474952792646576,
|
| 656 |
-
"eval_Precision": 0.8987473903966597,
|
| 657 |
-
"eval_Recall": 0.9717832957110609,
|
| 658 |
-
"eval_accuracy": 0.8850141376060321,
|
| 659 |
-
"eval_loss": 0.9697290062904358,
|
| 660 |
-
"eval_runtime": 11.5778,
|
| 661 |
-
"eval_samples_per_second": 91.641,
|
| 662 |
-
"eval_steps_per_second": 5.787,
|
| 663 |
-
"step": 10374
|
| 664 |
-
},
|
| 665 |
-
{
|
| 666 |
-
"epoch": 39.473684210526315,
|
| 667 |
-
"grad_norm": 0.0006237945053726435,
|
| 668 |
-
"learning_rate": 0.00012105263157894738,
|
| 669 |
-
"loss": 0.0001,
|
| 670 |
-
"step": 10500
|
| 671 |
-
},
|
| 672 |
-
{
|
| 673 |
-
"epoch": 40.0,
|
| 674 |
-
"eval_AUC": 0.7087487907126733,
|
| 675 |
-
"eval_F1": 0.7474952792646576,
|
| 676 |
-
"eval_Precision": 0.8987473903966597,
|
| 677 |
-
"eval_Recall": 0.9717832957110609,
|
| 678 |
-
"eval_accuracy": 0.8850141376060321,
|
| 679 |
-
"eval_loss": 0.9953697323799133,
|
| 680 |
-
"eval_runtime": 11.7777,
|
| 681 |
-
"eval_samples_per_second": 90.086,
|
| 682 |
-
"eval_steps_per_second": 5.689,
|
| 683 |
-
"step": 10640
|
| 684 |
-
},
|
| 685 |
-
{
|
| 686 |
-
"epoch": 41.0,
|
| 687 |
-
"eval_AUC": 0.7087487907126733,
|
| 688 |
-
"eval_F1": 0.7474952792646576,
|
| 689 |
-
"eval_Precision": 0.8987473903966597,
|
| 690 |
-
"eval_Recall": 0.9717832957110609,
|
| 691 |
-
"eval_accuracy": 0.8850141376060321,
|
| 692 |
-
"eval_loss": 1.0168683528900146,
|
| 693 |
-
"eval_runtime": 11.7874,
|
| 694 |
-
"eval_samples_per_second": 90.011,
|
| 695 |
-
"eval_steps_per_second": 5.684,
|
| 696 |
-
"step": 10906
|
| 697 |
-
},
|
| 698 |
-
{
|
| 699 |
-
"epoch": 41.35338345864662,
|
| 700 |
-
"grad_norm": 0.000347771099768579,
|
| 701 |
-
"learning_rate": 0.00011729323308270677,
|
| 702 |
-
"loss": 0.0,
|
| 703 |
-
"step": 11000
|
| 704 |
-
},
|
| 705 |
-
{
|
| 706 |
-
"epoch": 42.0,
|
| 707 |
-
"eval_AUC": 0.7093131247984521,
|
| 708 |
-
"eval_F1": 0.7487971197401504,
|
| 709 |
-
"eval_Precision": 0.8988529718456726,
|
| 710 |
-
"eval_Recall": 0.9729119638826185,
|
| 711 |
-
"eval_accuracy": 0.885956644674835,
|
| 712 |
-
"eval_loss": 1.038093090057373,
|
| 713 |
-
"eval_runtime": 11.6656,
|
| 714 |
-
"eval_samples_per_second": 90.951,
|
| 715 |
-
"eval_steps_per_second": 5.743,
|
| 716 |
-
"step": 11172
|
| 717 |
-
},
|
| 718 |
-
{
|
| 719 |
-
"epoch": 43.0,
|
| 720 |
-
"eval_AUC": 0.7093131247984521,
|
| 721 |
-
"eval_F1": 0.7487971197401504,
|
| 722 |
-
"eval_Precision": 0.8988529718456726,
|
| 723 |
-
"eval_Recall": 0.9729119638826185,
|
| 724 |
-
"eval_accuracy": 0.885956644674835,
|
| 725 |
-
"eval_loss": 1.0582064390182495,
|
| 726 |
-
"eval_runtime": 11.7863,
|
| 727 |
-
"eval_samples_per_second": 90.019,
|
| 728 |
-
"eval_steps_per_second": 5.685,
|
| 729 |
-
"step": 11438
|
| 730 |
-
},
|
| 731 |
-
{
|
| 732 |
-
"epoch": 43.233082706766915,
|
| 733 |
-
"grad_norm": 0.00026405107928439975,
|
| 734 |
-
"learning_rate": 0.00011353383458646618,
|
| 735 |
-
"loss": 0.0,
|
| 736 |
-
"step": 11500
|
| 737 |
-
},
|
| 738 |
-
{
|
| 739 |
-
"epoch": 44.0,
|
| 740 |
-
"eval_AUC": 0.7093131247984521,
|
| 741 |
-
"eval_F1": 0.7487971197401504,
|
| 742 |
-
"eval_Precision": 0.8988529718456726,
|
| 743 |
-
"eval_Recall": 0.9729119638826185,
|
| 744 |
-
"eval_accuracy": 0.885956644674835,
|
| 745 |
-
"eval_loss": 1.0762717723846436,
|
| 746 |
-
"eval_runtime": 11.6351,
|
| 747 |
-
"eval_samples_per_second": 91.189,
|
| 748 |
-
"eval_steps_per_second": 5.758,
|
| 749 |
-
"step": 11704
|
| 750 |
-
},
|
| 751 |
-
{
|
| 752 |
-
"epoch": 45.0,
|
| 753 |
-
"eval_AUC": 0.7093131247984521,
|
| 754 |
-
"eval_F1": 0.7487971197401504,
|
| 755 |
-
"eval_Precision": 0.8988529718456726,
|
| 756 |
-
"eval_Recall": 0.9729119638826185,
|
| 757 |
-
"eval_accuracy": 0.885956644674835,
|
| 758 |
-
"eval_loss": 1.0936743021011353,
|
| 759 |
-
"eval_runtime": 11.9085,
|
| 760 |
-
"eval_samples_per_second": 89.096,
|
| 761 |
-
"eval_steps_per_second": 5.626,
|
| 762 |
-
"step": 11970
|
| 763 |
-
},
|
| 764 |
-
{
|
| 765 |
-
"epoch": 45.11278195488722,
|
| 766 |
-
"grad_norm": 0.00022154749603942037,
|
| 767 |
-
"learning_rate": 0.00010977443609022557,
|
| 768 |
-
"loss": 0.0,
|
| 769 |
-
"step": 12000
|
| 770 |
-
},
|
| 771 |
-
{
|
| 772 |
-
"epoch": 46.0,
|
| 773 |
-
"eval_AUC": 0.7150274105127379,
|
| 774 |
-
"eval_F1": 0.7544540322094451,
|
| 775 |
-
"eval_Precision": 0.9007314524555904,
|
| 776 |
-
"eval_Recall": 0.9729119638826185,
|
| 777 |
-
"eval_accuracy": 0.8878416588124411,
|
| 778 |
-
"eval_loss": 1.1094835996627808,
|
| 779 |
-
"eval_runtime": 11.7724,
|
| 780 |
-
"eval_samples_per_second": 90.126,
|
| 781 |
-
"eval_steps_per_second": 5.691,
|
| 782 |
-
"step": 12236
|
| 783 |
-
},
|
| 784 |
-
{
|
| 785 |
-
"epoch": 46.99248120300752,
|
| 786 |
-
"grad_norm": 0.00019688473548740149,
|
| 787 |
-
"learning_rate": 0.00010601503759398497,
|
| 788 |
-
"loss": 0.0,
|
| 789 |
-
"step": 12500
|
| 790 |
-
},
|
| 791 |
-
{
|
| 792 |
-
"epoch": 47.0,
|
| 793 |
-
"eval_AUC": 0.7150274105127379,
|
| 794 |
-
"eval_F1": 0.7544540322094451,
|
| 795 |
-
"eval_Precision": 0.9007314524555904,
|
| 796 |
-
"eval_Recall": 0.9729119638826185,
|
| 797 |
-
"eval_accuracy": 0.8878416588124411,
|
| 798 |
-
"eval_loss": 1.1262503862380981,
|
| 799 |
-
"eval_runtime": 11.5453,
|
| 800 |
-
"eval_samples_per_second": 91.899,
|
| 801 |
-
"eval_steps_per_second": 5.803,
|
| 802 |
-
"step": 12502
|
| 803 |
-
},
|
| 804 |
-
{
|
| 805 |
-
"epoch": 48.0,
|
| 806 |
-
"eval_AUC": 0.7150274105127379,
|
| 807 |
-
"eval_F1": 0.7544540322094451,
|
| 808 |
-
"eval_Precision": 0.9007314524555904,
|
| 809 |
-
"eval_Recall": 0.9729119638826185,
|
| 810 |
-
"eval_accuracy": 0.8878416588124411,
|
| 811 |
-
"eval_loss": 1.1426563262939453,
|
| 812 |
-
"eval_runtime": 11.6837,
|
| 813 |
-
"eval_samples_per_second": 90.81,
|
| 814 |
-
"eval_steps_per_second": 5.734,
|
| 815 |
-
"step": 12768
|
| 816 |
-
},
|
| 817 |
-
{
|
| 818 |
-
"epoch": 48.87218045112782,
|
| 819 |
-
"grad_norm": 0.0001134950143750757,
|
| 820 |
-
"learning_rate": 0.00010225563909774436,
|
| 821 |
-
"loss": 0.0,
|
| 822 |
-
"step": 13000
|
| 823 |
-
},
|
| 824 |
-
{
|
| 825 |
-
"epoch": 49.0,
|
| 826 |
-
"eval_AUC": 0.7150274105127379,
|
| 827 |
-
"eval_F1": 0.7544540322094451,
|
| 828 |
-
"eval_Precision": 0.9007314524555904,
|
| 829 |
-
"eval_Recall": 0.9729119638826185,
|
| 830 |
-
"eval_accuracy": 0.8878416588124411,
|
| 831 |
-
"eval_loss": 1.1587177515029907,
|
| 832 |
-
"eval_runtime": 11.7191,
|
| 833 |
-
"eval_samples_per_second": 90.536,
|
| 834 |
-
"eval_steps_per_second": 5.717,
|
| 835 |
-
"step": 13034
|
| 836 |
-
},
|
| 837 |
-
{
|
| 838 |
-
"epoch": 50.0,
|
| 839 |
-
"eval_AUC": 0.7150274105127379,
|
| 840 |
-
"eval_F1": 0.7544540322094451,
|
| 841 |
-
"eval_Precision": 0.9007314524555904,
|
| 842 |
-
"eval_Recall": 0.9729119638826185,
|
| 843 |
-
"eval_accuracy": 0.8878416588124411,
|
| 844 |
-
"eval_loss": 1.174465537071228,
|
| 845 |
-
"eval_runtime": 11.8222,
|
| 846 |
-
"eval_samples_per_second": 89.747,
|
| 847 |
-
"eval_steps_per_second": 5.667,
|
| 848 |
-
"step": 13300
|
| 849 |
-
},
|
| 850 |
-
{
|
| 851 |
-
"epoch": 50.75187969924812,
|
| 852 |
-
"grad_norm": 9.584094368619844e-05,
|
| 853 |
-
"learning_rate": 9.849624060150377e-05,
|
| 854 |
-
"loss": 0.0,
|
| 855 |
-
"step": 13500
|
| 856 |
-
},
|
| 857 |
-
{
|
| 858 |
-
"epoch": 51.0,
|
| 859 |
-
"eval_AUC": 0.7150274105127379,
|
| 860 |
-
"eval_F1": 0.7544540322094451,
|
| 861 |
-
"eval_Precision": 0.9007314524555904,
|
| 862 |
-
"eval_Recall": 0.9729119638826185,
|
| 863 |
-
"eval_accuracy": 0.8878416588124411,
|
| 864 |
-
"eval_loss": 1.1900520324707031,
|
| 865 |
-
"eval_runtime": 11.7601,
|
| 866 |
-
"eval_samples_per_second": 90.22,
|
| 867 |
-
"eval_steps_per_second": 5.697,
|
| 868 |
-
"step": 13566
|
| 869 |
-
},
|
| 870 |
-
{
|
| 871 |
-
"epoch": 52.0,
|
| 872 |
-
"eval_AUC": 0.7178845533698807,
|
| 873 |
-
"eval_F1": 0.7572553125484722,
|
| 874 |
-
"eval_Precision": 0.9016736401673641,
|
| 875 |
-
"eval_Recall": 0.9729119638826185,
|
| 876 |
-
"eval_accuracy": 0.8887841658812441,
|
| 877 |
-
"eval_loss": 1.2051938772201538,
|
| 878 |
-
"eval_runtime": 11.9347,
|
| 879 |
-
"eval_samples_per_second": 88.901,
|
| 880 |
-
"eval_steps_per_second": 5.614,
|
| 881 |
-
"step": 13832
|
| 882 |
-
},
|
| 883 |
-
{
|
| 884 |
-
"epoch": 52.63157894736842,
|
| 885 |
-
"grad_norm": 7.240776903927326e-05,
|
| 886 |
-
"learning_rate": 9.473684210526316e-05,
|
| 887 |
-
"loss": 0.0,
|
| 888 |
-
"step": 14000
|
| 889 |
-
},
|
| 890 |
-
{
|
| 891 |
-
"epoch": 53.0,
|
| 892 |
-
"eval_AUC": 0.7178845533698807,
|
| 893 |
-
"eval_F1": 0.7572553125484722,
|
| 894 |
-
"eval_Precision": 0.9016736401673641,
|
| 895 |
-
"eval_Recall": 0.9729119638826185,
|
| 896 |
-
"eval_accuracy": 0.8887841658812441,
|
| 897 |
-
"eval_loss": 1.2201390266418457,
|
| 898 |
-
"eval_runtime": 11.8013,
|
| 899 |
-
"eval_samples_per_second": 89.905,
|
| 900 |
-
"eval_steps_per_second": 5.677,
|
| 901 |
-
"step": 14098
|
| 902 |
-
},
|
| 903 |
-
{
|
| 904 |
-
"epoch": 54.0,
|
| 905 |
-
"eval_AUC": 0.7178845533698807,
|
| 906 |
-
"eval_F1": 0.7572553125484722,
|
| 907 |
-
"eval_Precision": 0.9016736401673641,
|
| 908 |
-
"eval_Recall": 0.9729119638826185,
|
| 909 |
-
"eval_accuracy": 0.8887841658812441,
|
| 910 |
-
"eval_loss": 1.2349706888198853,
|
| 911 |
-
"eval_runtime": 11.8152,
|
| 912 |
-
"eval_samples_per_second": 89.8,
|
| 913 |
-
"eval_steps_per_second": 5.671,
|
| 914 |
-
"step": 14364
|
| 915 |
-
},
|
| 916 |
-
{
|
| 917 |
-
"epoch": 54.51127819548872,
|
| 918 |
-
"grad_norm": 4.7142420953605324e-05,
|
| 919 |
-
"learning_rate": 9.097744360902256e-05,
|
| 920 |
-
"loss": 0.0,
|
| 921 |
-
"step": 14500
|
| 922 |
-
},
|
| 923 |
-
{
|
| 924 |
-
"epoch": 55.0,
|
| 925 |
-
"eval_AUC": 0.7178845533698807,
|
| 926 |
-
"eval_F1": 0.7572553125484722,
|
| 927 |
-
"eval_Precision": 0.9016736401673641,
|
| 928 |
-
"eval_Recall": 0.9729119638826185,
|
| 929 |
-
"eval_accuracy": 0.8887841658812441,
|
| 930 |
-
"eval_loss": 1.249691367149353,
|
| 931 |
-
"eval_runtime": 11.9642,
|
| 932 |
-
"eval_samples_per_second": 88.682,
|
| 933 |
-
"eval_steps_per_second": 5.6,
|
| 934 |
-
"step": 14630
|
| 935 |
-
},
|
| 936 |
-
{
|
| 937 |
-
"epoch": 56.0,
|
| 938 |
-
"eval_AUC": 0.7178845533698807,
|
| 939 |
-
"eval_F1": 0.7572553125484722,
|
| 940 |
-
"eval_Precision": 0.9016736401673641,
|
| 941 |
-
"eval_Recall": 0.9729119638826185,
|
| 942 |
-
"eval_accuracy": 0.8887841658812441,
|
| 943 |
-
"eval_loss": 1.2640849351882935,
|
| 944 |
-
"eval_runtime": 11.9363,
|
| 945 |
-
"eval_samples_per_second": 88.889,
|
| 946 |
-
"eval_steps_per_second": 5.613,
|
| 947 |
-
"step": 14896
|
| 948 |
-
},
|
| 949 |
-
{
|
| 950 |
-
"epoch": 56.390977443609025,
|
| 951 |
-
"grad_norm": 4.406652442412451e-05,
|
| 952 |
-
"learning_rate": 8.721804511278195e-05,
|
| 953 |
-
"loss": 0.0,
|
| 954 |
-
"step": 15000
|
| 955 |
-
},
|
| 956 |
-
{
|
| 957 |
-
"epoch": 57.0,
|
| 958 |
-
"eval_AUC": 0.7178845533698807,
|
| 959 |
-
"eval_F1": 0.7572553125484722,
|
| 960 |
-
"eval_Precision": 0.9016736401673641,
|
| 961 |
-
"eval_Recall": 0.9729119638826185,
|
| 962 |
-
"eval_accuracy": 0.8887841658812441,
|
| 963 |
-
"eval_loss": 1.2785232067108154,
|
| 964 |
-
"eval_runtime": 11.9798,
|
| 965 |
-
"eval_samples_per_second": 88.566,
|
| 966 |
-
"eval_steps_per_second": 5.593,
|
| 967 |
-
"step": 15162
|
| 968 |
-
},
|
| 969 |
-
{
|
| 970 |
-
"epoch": 58.0,
|
| 971 |
-
"eval_AUC": 0.7178845533698807,
|
| 972 |
-
"eval_F1": 0.7572553125484722,
|
| 973 |
-
"eval_Precision": 0.9016736401673641,
|
| 974 |
-
"eval_Recall": 0.9729119638826185,
|
| 975 |
-
"eval_accuracy": 0.8887841658812441,
|
| 976 |
-
"eval_loss": 1.2925220727920532,
|
| 977 |
-
"eval_runtime": 11.9038,
|
| 978 |
-
"eval_samples_per_second": 89.131,
|
| 979 |
-
"eval_steps_per_second": 5.628,
|
| 980 |
-
"step": 15428
|
| 981 |
-
},
|
| 982 |
-
{
|
| 983 |
-
"epoch": 58.27067669172932,
|
| 984 |
-
"grad_norm": 2.6122717827092856e-05,
|
| 985 |
-
"learning_rate": 8.345864661654136e-05,
|
| 986 |
-
"loss": 0.0,
|
| 987 |
-
"step": 15500
|
| 988 |
-
},
|
| 989 |
-
{
|
| 990 |
-
"epoch": 59.0,
|
| 991 |
-
"eval_AUC": 0.7178845533698807,
|
| 992 |
-
"eval_F1": 0.7572553125484722,
|
| 993 |
-
"eval_Precision": 0.9016736401673641,
|
| 994 |
-
"eval_Recall": 0.9729119638826185,
|
| 995 |
-
"eval_accuracy": 0.8887841658812441,
|
| 996 |
-
"eval_loss": 1.3067699670791626,
|
| 997 |
-
"eval_runtime": 11.8267,
|
| 998 |
-
"eval_samples_per_second": 89.713,
|
| 999 |
-
"eval_steps_per_second": 5.665,
|
| 1000 |
-
"step": 15694
|
| 1001 |
-
},
|
| 1002 |
-
{
|
| 1003 |
-
"epoch": 60.0,
|
| 1004 |
-
"eval_AUC": 0.7178845533698807,
|
| 1005 |
-
"eval_F1": 0.7572553125484722,
|
| 1006 |
-
"eval_Precision": 0.9016736401673641,
|
| 1007 |
-
"eval_Recall": 0.9729119638826185,
|
| 1008 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1009 |
-
"eval_loss": 1.3207120895385742,
|
| 1010 |
-
"eval_runtime": 11.6077,
|
| 1011 |
-
"eval_samples_per_second": 91.405,
|
| 1012 |
-
"eval_steps_per_second": 5.772,
|
| 1013 |
-
"step": 15960
|
| 1014 |
-
},
|
| 1015 |
-
{
|
| 1016 |
-
"epoch": 60.150375939849624,
|
| 1017 |
-
"grad_norm": 2.532277903810609e-05,
|
| 1018 |
-
"learning_rate": 7.969924812030075e-05,
|
| 1019 |
-
"loss": 0.0,
|
| 1020 |
-
"step": 16000
|
| 1021 |
-
},
|
| 1022 |
-
{
|
| 1023 |
-
"epoch": 61.0,
|
| 1024 |
-
"eval_AUC": 0.7178845533698807,
|
| 1025 |
-
"eval_F1": 0.7572553125484722,
|
| 1026 |
-
"eval_Precision": 0.9016736401673641,
|
| 1027 |
-
"eval_Recall": 0.9729119638826185,
|
| 1028 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1029 |
-
"eval_loss": 1.3345941305160522,
|
| 1030 |
-
"eval_runtime": 11.8443,
|
| 1031 |
-
"eval_samples_per_second": 89.579,
|
| 1032 |
-
"eval_steps_per_second": 5.657,
|
| 1033 |
-
"step": 16226
|
| 1034 |
-
},
|
| 1035 |
-
{
|
| 1036 |
-
"epoch": 62.0,
|
| 1037 |
-
"eval_AUC": 0.7178845533698807,
|
| 1038 |
-
"eval_F1": 0.7572553125484722,
|
| 1039 |
-
"eval_Precision": 0.9016736401673641,
|
| 1040 |
-
"eval_Recall": 0.9729119638826185,
|
| 1041 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1042 |
-
"eval_loss": 1.3484621047973633,
|
| 1043 |
-
"eval_runtime": 11.6458,
|
| 1044 |
-
"eval_samples_per_second": 91.106,
|
| 1045 |
-
"eval_steps_per_second": 5.753,
|
| 1046 |
-
"step": 16492
|
| 1047 |
-
},
|
| 1048 |
-
{
|
| 1049 |
-
"epoch": 62.03007518796993,
|
| 1050 |
-
"grad_norm": 1.7661703168414533e-05,
|
| 1051 |
-
"learning_rate": 7.593984962406016e-05,
|
| 1052 |
-
"loss": 0.0,
|
| 1053 |
-
"step": 16500
|
| 1054 |
-
},
|
| 1055 |
-
{
|
| 1056 |
-
"epoch": 63.0,
|
| 1057 |
-
"eval_AUC": 0.7178845533698807,
|
| 1058 |
-
"eval_F1": 0.7572553125484722,
|
| 1059 |
-
"eval_Precision": 0.9016736401673641,
|
| 1060 |
-
"eval_Recall": 0.9729119638826185,
|
| 1061 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1062 |
-
"eval_loss": 1.3622149229049683,
|
| 1063 |
-
"eval_runtime": 11.7437,
|
| 1064 |
-
"eval_samples_per_second": 90.346,
|
| 1065 |
-
"eval_steps_per_second": 5.705,
|
| 1066 |
-
"step": 16758
|
| 1067 |
-
},
|
| 1068 |
-
{
|
| 1069 |
-
"epoch": 63.909774436090224,
|
| 1070 |
-
"grad_norm": 1.633859210414812e-05,
|
| 1071 |
-
"learning_rate": 7.218045112781955e-05,
|
| 1072 |
-
"loss": 0.0,
|
| 1073 |
-
"step": 17000
|
| 1074 |
-
},
|
| 1075 |
-
{
|
| 1076 |
-
"epoch": 64.0,
|
| 1077 |
-
"eval_AUC": 0.7178845533698807,
|
| 1078 |
-
"eval_F1": 0.7572553125484722,
|
| 1079 |
-
"eval_Precision": 0.9016736401673641,
|
| 1080 |
-
"eval_Recall": 0.9729119638826185,
|
| 1081 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1082 |
-
"eval_loss": 1.3757728338241577,
|
| 1083 |
-
"eval_runtime": 11.6035,
|
| 1084 |
-
"eval_samples_per_second": 91.438,
|
| 1085 |
-
"eval_steps_per_second": 5.774,
|
| 1086 |
-
"step": 17024
|
| 1087 |
-
},
|
| 1088 |
-
{
|
| 1089 |
-
"epoch": 65.0,
|
| 1090 |
-
"eval_AUC": 0.7178845533698807,
|
| 1091 |
-
"eval_F1": 0.7572553125484722,
|
| 1092 |
-
"eval_Precision": 0.9016736401673641,
|
| 1093 |
-
"eval_Recall": 0.9729119638826185,
|
| 1094 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1095 |
-
"eval_loss": 1.3893355131149292,
|
| 1096 |
-
"eval_runtime": 11.8424,
|
| 1097 |
-
"eval_samples_per_second": 89.593,
|
| 1098 |
-
"eval_steps_per_second": 5.658,
|
| 1099 |
-
"step": 17290
|
| 1100 |
-
},
|
| 1101 |
-
{
|
| 1102 |
-
"epoch": 65.78947368421052,
|
| 1103 |
-
"grad_norm": 1.2574956599564757e-05,
|
| 1104 |
-
"learning_rate": 6.842105263157895e-05,
|
| 1105 |
-
"loss": 0.0,
|
| 1106 |
-
"step": 17500
|
| 1107 |
-
},
|
| 1108 |
-
{
|
| 1109 |
-
"epoch": 66.0,
|
| 1110 |
-
"eval_AUC": 0.7178845533698807,
|
| 1111 |
-
"eval_F1": 0.7572553125484722,
|
| 1112 |
-
"eval_Precision": 0.9016736401673641,
|
| 1113 |
-
"eval_Recall": 0.9729119638826185,
|
| 1114 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1115 |
-
"eval_loss": 1.40289306640625,
|
| 1116 |
-
"eval_runtime": 11.9699,
|
| 1117 |
-
"eval_samples_per_second": 88.639,
|
| 1118 |
-
"eval_steps_per_second": 5.597,
|
| 1119 |
-
"step": 17556
|
| 1120 |
-
},
|
| 1121 |
-
{
|
| 1122 |
-
"epoch": 67.0,
|
| 1123 |
-
"eval_AUC": 0.7178845533698807,
|
| 1124 |
-
"eval_F1": 0.7572553125484722,
|
| 1125 |
-
"eval_Precision": 0.9016736401673641,
|
| 1126 |
-
"eval_Recall": 0.9729119638826185,
|
| 1127 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1128 |
-
"eval_loss": 1.4165505170822144,
|
| 1129 |
-
"eval_runtime": 11.6917,
|
| 1130 |
-
"eval_samples_per_second": 90.748,
|
| 1131 |
-
"eval_steps_per_second": 5.731,
|
| 1132 |
-
"step": 17822
|
| 1133 |
-
},
|
| 1134 |
-
{
|
| 1135 |
-
"epoch": 67.66917293233082,
|
| 1136 |
-
"grad_norm": 1.0964651664835401e-05,
|
| 1137 |
-
"learning_rate": 6.466165413533834e-05,
|
| 1138 |
-
"loss": 0.0,
|
| 1139 |
-
"step": 18000
|
| 1140 |
-
},
|
| 1141 |
-
{
|
| 1142 |
-
"epoch": 68.0,
|
| 1143 |
-
"eval_AUC": 0.7178845533698807,
|
| 1144 |
-
"eval_F1": 0.7572553125484722,
|
| 1145 |
-
"eval_Precision": 0.9016736401673641,
|
| 1146 |
-
"eval_Recall": 0.9729119638826185,
|
| 1147 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1148 |
-
"eval_loss": 1.4297924041748047,
|
| 1149 |
-
"eval_runtime": 11.881,
|
| 1150 |
-
"eval_samples_per_second": 89.302,
|
| 1151 |
-
"eval_steps_per_second": 5.639,
|
| 1152 |
-
"step": 18088
|
| 1153 |
-
},
|
| 1154 |
-
{
|
| 1155 |
-
"epoch": 69.0,
|
| 1156 |
-
"eval_AUC": 0.7178845533698807,
|
| 1157 |
-
"eval_F1": 0.7572553125484722,
|
| 1158 |
-
"eval_Precision": 0.9016736401673641,
|
| 1159 |
-
"eval_Recall": 0.9729119638826185,
|
| 1160 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1161 |
-
"eval_loss": 1.4431047439575195,
|
| 1162 |
-
"eval_runtime": 11.6298,
|
| 1163 |
-
"eval_samples_per_second": 91.231,
|
| 1164 |
-
"eval_steps_per_second": 5.761,
|
| 1165 |
-
"step": 18354
|
| 1166 |
-
},
|
| 1167 |
-
{
|
| 1168 |
-
"epoch": 69.54887218045113,
|
| 1169 |
-
"grad_norm": 8.276247172034346e-06,
|
| 1170 |
-
"learning_rate": 6.090225563909775e-05,
|
| 1171 |
-
"loss": 0.0,
|
| 1172 |
-
"step": 18500
|
| 1173 |
-
},
|
| 1174 |
-
{
|
| 1175 |
-
"epoch": 70.0,
|
| 1176 |
-
"eval_AUC": 0.7178845533698807,
|
| 1177 |
-
"eval_F1": 0.7572553125484722,
|
| 1178 |
-
"eval_Precision": 0.9016736401673641,
|
| 1179 |
-
"eval_Recall": 0.9729119638826185,
|
| 1180 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1181 |
-
"eval_loss": 1.4565781354904175,
|
| 1182 |
-
"eval_runtime": 11.6654,
|
| 1183 |
-
"eval_samples_per_second": 90.952,
|
| 1184 |
-
"eval_steps_per_second": 5.743,
|
| 1185 |
-
"step": 18620
|
| 1186 |
-
},
|
| 1187 |
-
{
|
| 1188 |
-
"epoch": 71.0,
|
| 1189 |
-
"eval_AUC": 0.7178845533698807,
|
| 1190 |
-
"eval_F1": 0.7572553125484722,
|
| 1191 |
-
"eval_Precision": 0.9016736401673641,
|
| 1192 |
-
"eval_Recall": 0.9729119638826185,
|
| 1193 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1194 |
-
"eval_loss": 1.4694792032241821,
|
| 1195 |
-
"eval_runtime": 12.0384,
|
| 1196 |
-
"eval_samples_per_second": 88.134,
|
| 1197 |
-
"eval_steps_per_second": 5.566,
|
| 1198 |
-
"step": 18886
|
| 1199 |
-
},
|
| 1200 |
-
{
|
| 1201 |
-
"epoch": 71.42857142857143,
|
| 1202 |
-
"grad_norm": 7.255929176608333e-06,
|
| 1203 |
-
"learning_rate": 5.714285714285714e-05,
|
| 1204 |
-
"loss": 0.0,
|
| 1205 |
-
"step": 19000
|
| 1206 |
-
},
|
| 1207 |
-
{
|
| 1208 |
-
"epoch": 72.0,
|
| 1209 |
-
"eval_AUC": 0.7178845533698807,
|
| 1210 |
-
"eval_F1": 0.7572553125484722,
|
| 1211 |
-
"eval_Precision": 0.9016736401673641,
|
| 1212 |
-
"eval_Recall": 0.9729119638826185,
|
| 1213 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1214 |
-
"eval_loss": 1.482446551322937,
|
| 1215 |
-
"eval_runtime": 11.6854,
|
| 1216 |
-
"eval_samples_per_second": 90.797,
|
| 1217 |
-
"eval_steps_per_second": 5.734,
|
| 1218 |
-
"step": 19152
|
| 1219 |
-
},
|
| 1220 |
-
{
|
| 1221 |
-
"epoch": 73.0,
|
| 1222 |
-
"eval_AUC": 0.7178845533698807,
|
| 1223 |
-
"eval_F1": 0.7572553125484722,
|
| 1224 |
-
"eval_Precision": 0.9016736401673641,
|
| 1225 |
-
"eval_Recall": 0.9729119638826185,
|
| 1226 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1227 |
-
"eval_loss": 1.4949710369110107,
|
| 1228 |
-
"eval_runtime": 11.7291,
|
| 1229 |
-
"eval_samples_per_second": 90.459,
|
| 1230 |
-
"eval_steps_per_second": 5.712,
|
| 1231 |
-
"step": 19418
|
| 1232 |
-
},
|
| 1233 |
-
{
|
| 1234 |
-
"epoch": 73.30827067669173,
|
| 1235 |
-
"grad_norm": 5.73582974539022e-06,
|
| 1236 |
-
"learning_rate": 5.338345864661655e-05,
|
| 1237 |
-
"loss": 0.0,
|
| 1238 |
-
"step": 19500
|
| 1239 |
-
},
|
| 1240 |
-
{
|
| 1241 |
-
"epoch": 74.0,
|
| 1242 |
-
"eval_AUC": 0.7178845533698807,
|
| 1243 |
-
"eval_F1": 0.7572553125484722,
|
| 1244 |
-
"eval_Precision": 0.9016736401673641,
|
| 1245 |
-
"eval_Recall": 0.9729119638826185,
|
| 1246 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1247 |
-
"eval_loss": 1.50760817527771,
|
| 1248 |
-
"eval_runtime": 11.6937,
|
| 1249 |
-
"eval_samples_per_second": 90.732,
|
| 1250 |
-
"eval_steps_per_second": 5.73,
|
| 1251 |
-
"step": 19684
|
| 1252 |
-
},
|
| 1253 |
-
{
|
| 1254 |
-
"epoch": 75.0,
|
| 1255 |
-
"eval_AUC": 0.7178845533698807,
|
| 1256 |
-
"eval_F1": 0.7572553125484722,
|
| 1257 |
-
"eval_Precision": 0.9016736401673641,
|
| 1258 |
-
"eval_Recall": 0.9729119638826185,
|
| 1259 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1260 |
-
"eval_loss": 1.5201044082641602,
|
| 1261 |
-
"eval_runtime": 11.779,
|
| 1262 |
-
"eval_samples_per_second": 90.075,
|
| 1263 |
-
"eval_steps_per_second": 5.688,
|
| 1264 |
-
"step": 19950
|
| 1265 |
-
},
|
| 1266 |
-
{
|
| 1267 |
-
"epoch": 75.18796992481202,
|
| 1268 |
-
"grad_norm": 3.381761189302779e-06,
|
| 1269 |
-
"learning_rate": 4.9624060150375936e-05,
|
| 1270 |
-
"loss": 0.0,
|
| 1271 |
-
"step": 20000
|
| 1272 |
-
},
|
| 1273 |
-
{
|
| 1274 |
-
"epoch": 76.0,
|
| 1275 |
-
"eval_AUC": 0.7178845533698807,
|
| 1276 |
-
"eval_F1": 0.7572553125484722,
|
| 1277 |
-
"eval_Precision": 0.9016736401673641,
|
| 1278 |
-
"eval_Recall": 0.9729119638826185,
|
| 1279 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1280 |
-
"eval_loss": 1.5320940017700195,
|
| 1281 |
-
"eval_runtime": 11.7044,
|
| 1282 |
-
"eval_samples_per_second": 90.65,
|
| 1283 |
-
"eval_steps_per_second": 5.724,
|
| 1284 |
-
"step": 20216
|
| 1285 |
-
},
|
| 1286 |
-
{
|
| 1287 |
-
"epoch": 77.0,
|
| 1288 |
-
"eval_AUC": 0.7178845533698807,
|
| 1289 |
-
"eval_F1": 0.7572553125484722,
|
| 1290 |
-
"eval_Precision": 0.9016736401673641,
|
| 1291 |
-
"eval_Recall": 0.9729119638826185,
|
| 1292 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1293 |
-
"eval_loss": 1.5440773963928223,
|
| 1294 |
-
"eval_runtime": 11.8766,
|
| 1295 |
-
"eval_samples_per_second": 89.335,
|
| 1296 |
-
"eval_steps_per_second": 5.641,
|
| 1297 |
-
"step": 20482
|
| 1298 |
-
},
|
| 1299 |
-
{
|
| 1300 |
-
"epoch": 77.06766917293233,
|
| 1301 |
-
"grad_norm": 4.261892627255293e-06,
|
| 1302 |
-
"learning_rate": 4.586466165413534e-05,
|
| 1303 |
-
"loss": 0.0,
|
| 1304 |
-
"step": 20500
|
| 1305 |
-
},
|
| 1306 |
-
{
|
| 1307 |
-
"epoch": 78.0,
|
| 1308 |
-
"eval_AUC": 0.7178845533698807,
|
| 1309 |
-
"eval_F1": 0.7572553125484722,
|
| 1310 |
-
"eval_Precision": 0.9016736401673641,
|
| 1311 |
-
"eval_Recall": 0.9729119638826185,
|
| 1312 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1313 |
-
"eval_loss": 1.5564316511154175,
|
| 1314 |
-
"eval_runtime": 11.9626,
|
| 1315 |
-
"eval_samples_per_second": 88.693,
|
| 1316 |
-
"eval_steps_per_second": 5.601,
|
| 1317 |
-
"step": 20748
|
| 1318 |
-
},
|
| 1319 |
-
{
|
| 1320 |
-
"epoch": 78.94736842105263,
|
| 1321 |
-
"grad_norm": 2.5668264242995065e-06,
|
| 1322 |
-
"learning_rate": 4.210526315789474e-05,
|
| 1323 |
-
"loss": 0.0,
|
| 1324 |
-
"step": 21000
|
| 1325 |
-
},
|
| 1326 |
-
{
|
| 1327 |
-
"epoch": 79.0,
|
| 1328 |
-
"eval_AUC": 0.7178845533698807,
|
| 1329 |
-
"eval_F1": 0.7572553125484722,
|
| 1330 |
-
"eval_Precision": 0.9016736401673641,
|
| 1331 |
-
"eval_Recall": 0.9729119638826185,
|
| 1332 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1333 |
-
"eval_loss": 1.5691113471984863,
|
| 1334 |
-
"eval_runtime": 11.9711,
|
| 1335 |
-
"eval_samples_per_second": 88.63,
|
| 1336 |
-
"eval_steps_per_second": 5.597,
|
| 1337 |
-
"step": 21014
|
| 1338 |
-
},
|
| 1339 |
-
{
|
| 1340 |
-
"epoch": 80.0,
|
| 1341 |
-
"eval_AUC": 0.7178845533698807,
|
| 1342 |
-
"eval_F1": 0.7572553125484722,
|
| 1343 |
-
"eval_Precision": 0.9016736401673641,
|
| 1344 |
-
"eval_Recall": 0.9729119638826185,
|
| 1345 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1346 |
-
"eval_loss": 1.5799812078475952,
|
| 1347 |
-
"eval_runtime": 11.8905,
|
| 1348 |
-
"eval_samples_per_second": 89.231,
|
| 1349 |
-
"eval_steps_per_second": 5.635,
|
| 1350 |
-
"step": 21280
|
| 1351 |
-
},
|
| 1352 |
-
{
|
| 1353 |
-
"epoch": 80.82706766917293,
|
| 1354 |
-
"grad_norm": 1.7882749716591206e-06,
|
| 1355 |
-
"learning_rate": 3.834586466165413e-05,
|
| 1356 |
-
"loss": 0.0,
|
| 1357 |
-
"step": 21500
|
| 1358 |
-
},
|
| 1359 |
-
{
|
| 1360 |
-
"epoch": 81.0,
|
| 1361 |
-
"eval_AUC": 0.7178845533698807,
|
| 1362 |
-
"eval_F1": 0.7572553125484722,
|
| 1363 |
-
"eval_Precision": 0.9016736401673641,
|
| 1364 |
-
"eval_Recall": 0.9729119638826185,
|
| 1365 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1366 |
-
"eval_loss": 1.5909699201583862,
|
| 1367 |
-
"eval_runtime": 11.8739,
|
| 1368 |
-
"eval_samples_per_second": 89.355,
|
| 1369 |
-
"eval_steps_per_second": 5.643,
|
| 1370 |
-
"step": 21546
|
| 1371 |
-
},
|
| 1372 |
-
{
|
| 1373 |
-
"epoch": 82.0,
|
| 1374 |
-
"eval_AUC": 0.7178845533698807,
|
| 1375 |
-
"eval_F1": 0.7572553125484722,
|
| 1376 |
-
"eval_Precision": 0.9016736401673641,
|
| 1377 |
-
"eval_Recall": 0.9729119638826185,
|
| 1378 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1379 |
-
"eval_loss": 1.6020997762680054,
|
| 1380 |
-
"eval_runtime": 11.7593,
|
| 1381 |
-
"eval_samples_per_second": 90.226,
|
| 1382 |
-
"eval_steps_per_second": 5.698,
|
| 1383 |
-
"step": 21812
|
| 1384 |
-
},
|
| 1385 |
-
{
|
| 1386 |
-
"epoch": 82.70676691729324,
|
| 1387 |
-
"grad_norm": 3.307637371108285e-06,
|
| 1388 |
-
"learning_rate": 3.458646616541353e-05,
|
| 1389 |
-
"loss": 0.0,
|
| 1390 |
-
"step": 22000
|
| 1391 |
-
},
|
| 1392 |
-
{
|
| 1393 |
-
"epoch": 83.0,
|
| 1394 |
-
"eval_AUC": 0.7178845533698807,
|
| 1395 |
-
"eval_F1": 0.7572553125484722,
|
| 1396 |
-
"eval_Precision": 0.9016736401673641,
|
| 1397 |
-
"eval_Recall": 0.9729119638826185,
|
| 1398 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1399 |
-
"eval_loss": 1.6133201122283936,
|
| 1400 |
-
"eval_runtime": 11.7049,
|
| 1401 |
-
"eval_samples_per_second": 90.645,
|
| 1402 |
-
"eval_steps_per_second": 5.724,
|
| 1403 |
-
"step": 22078
|
| 1404 |
-
},
|
| 1405 |
-
{
|
| 1406 |
-
"epoch": 84.0,
|
| 1407 |
-
"eval_AUC": 0.7178845533698807,
|
| 1408 |
-
"eval_F1": 0.7572553125484722,
|
| 1409 |
-
"eval_Precision": 0.9016736401673641,
|
| 1410 |
-
"eval_Recall": 0.9729119638826185,
|
| 1411 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1412 |
-
"eval_loss": 1.6243833303451538,
|
| 1413 |
-
"eval_runtime": 11.7522,
|
| 1414 |
-
"eval_samples_per_second": 90.281,
|
| 1415 |
-
"eval_steps_per_second": 5.701,
|
| 1416 |
-
"step": 22344
|
| 1417 |
-
},
|
| 1418 |
-
{
|
| 1419 |
-
"epoch": 84.58646616541354,
|
| 1420 |
-
"grad_norm": 2.0808365661650896e-06,
|
| 1421 |
-
"learning_rate": 3.082706766917293e-05,
|
| 1422 |
-
"loss": 0.0,
|
| 1423 |
-
"step": 22500
|
| 1424 |
-
},
|
| 1425 |
-
{
|
| 1426 |
-
"epoch": 85.0,
|
| 1427 |
-
"eval_AUC": 0.7178845533698807,
|
| 1428 |
-
"eval_F1": 0.7572553125484722,
|
| 1429 |
-
"eval_Precision": 0.9016736401673641,
|
| 1430 |
-
"eval_Recall": 0.9729119638826185,
|
| 1431 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1432 |
-
"eval_loss": 1.6356879472732544,
|
| 1433 |
-
"eval_runtime": 11.8494,
|
| 1434 |
-
"eval_samples_per_second": 89.54,
|
| 1435 |
-
"eval_steps_per_second": 5.654,
|
| 1436 |
-
"step": 22610
|
| 1437 |
-
},
|
| 1438 |
-
{
|
| 1439 |
-
"epoch": 86.0,
|
| 1440 |
-
"eval_AUC": 0.7178845533698807,
|
| 1441 |
-
"eval_F1": 0.7572553125484722,
|
| 1442 |
-
"eval_Precision": 0.9016736401673641,
|
| 1443 |
-
"eval_Recall": 0.9729119638826185,
|
| 1444 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1445 |
-
"eval_loss": 1.646845817565918,
|
| 1446 |
-
"eval_runtime": 11.9457,
|
| 1447 |
-
"eval_samples_per_second": 88.819,
|
| 1448 |
-
"eval_steps_per_second": 5.609,
|
| 1449 |
-
"step": 22876
|
| 1450 |
-
},
|
| 1451 |
-
{
|
| 1452 |
-
"epoch": 86.46616541353383,
|
| 1453 |
-
"grad_norm": 1.6075608755272697e-06,
|
| 1454 |
-
"learning_rate": 2.706766917293233e-05,
|
| 1455 |
-
"loss": 0.0,
|
| 1456 |
-
"step": 23000
|
| 1457 |
-
},
|
| 1458 |
-
{
|
| 1459 |
-
"epoch": 87.0,
|
| 1460 |
-
"eval_AUC": 0.7178845533698807,
|
| 1461 |
-
"eval_F1": 0.7572553125484722,
|
| 1462 |
-
"eval_Precision": 0.9016736401673641,
|
| 1463 |
-
"eval_Recall": 0.9729119638826185,
|
| 1464 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1465 |
-
"eval_loss": 1.6580337285995483,
|
| 1466 |
-
"eval_runtime": 11.988,
|
| 1467 |
-
"eval_samples_per_second": 88.505,
|
| 1468 |
-
"eval_steps_per_second": 5.589,
|
| 1469 |
-
"step": 23142
|
| 1470 |
-
},
|
| 1471 |
-
{
|
| 1472 |
-
"epoch": 88.0,
|
| 1473 |
-
"eval_AUC": 0.7178845533698807,
|
| 1474 |
-
"eval_F1": 0.7572553125484722,
|
| 1475 |
-
"eval_Precision": 0.9016736401673641,
|
| 1476 |
-
"eval_Recall": 0.9729119638826185,
|
| 1477 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1478 |
-
"eval_loss": 1.6693716049194336,
|
| 1479 |
-
"eval_runtime": 11.563,
|
| 1480 |
-
"eval_samples_per_second": 91.758,
|
| 1481 |
-
"eval_steps_per_second": 5.794,
|
| 1482 |
-
"step": 23408
|
| 1483 |
-
},
|
| 1484 |
-
{
|
| 1485 |
-
"epoch": 88.34586466165413,
|
| 1486 |
-
"grad_norm": 1.4785607618250651e-06,
|
| 1487 |
-
"learning_rate": 2.3308270676691728e-05,
|
| 1488 |
-
"loss": 0.0,
|
| 1489 |
-
"step": 23500
|
| 1490 |
-
},
|
| 1491 |
-
{
|
| 1492 |
-
"epoch": 89.0,
|
| 1493 |
-
"eval_AUC": 0.7178845533698807,
|
| 1494 |
-
"eval_F1": 0.7572553125484722,
|
| 1495 |
-
"eval_Precision": 0.9016736401673641,
|
| 1496 |
-
"eval_Recall": 0.9729119638826185,
|
| 1497 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1498 |
-
"eval_loss": 1.6805604696273804,
|
| 1499 |
-
"eval_runtime": 11.7292,
|
| 1500 |
-
"eval_samples_per_second": 90.458,
|
| 1501 |
-
"eval_steps_per_second": 5.712,
|
| 1502 |
-
"step": 23674
|
| 1503 |
-
},
|
| 1504 |
-
{
|
| 1505 |
-
"epoch": 90.0,
|
| 1506 |
-
"eval_AUC": 0.7178845533698807,
|
| 1507 |
-
"eval_F1": 0.7572553125484722,
|
| 1508 |
-
"eval_Precision": 0.9016736401673641,
|
| 1509 |
-
"eval_Recall": 0.9729119638826185,
|
| 1510 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1511 |
-
"eval_loss": 1.6876078844070435,
|
| 1512 |
-
"eval_runtime": 11.6884,
|
| 1513 |
-
"eval_samples_per_second": 90.774,
|
| 1514 |
-
"eval_steps_per_second": 5.732,
|
| 1515 |
-
"step": 23940
|
| 1516 |
-
},
|
| 1517 |
-
{
|
| 1518 |
-
"epoch": 90.22556390977444,
|
| 1519 |
-
"grad_norm": 7.791019811520528e-07,
|
| 1520 |
-
"learning_rate": 1.954887218045113e-05,
|
| 1521 |
-
"loss": 0.0,
|
| 1522 |
-
"step": 24000
|
| 1523 |
-
},
|
| 1524 |
-
{
|
| 1525 |
-
"epoch": 91.0,
|
| 1526 |
-
"eval_AUC": 0.7178845533698807,
|
| 1527 |
-
"eval_F1": 0.7572553125484722,
|
| 1528 |
-
"eval_Precision": 0.9016736401673641,
|
| 1529 |
-
"eval_Recall": 0.9729119638826185,
|
| 1530 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1531 |
-
"eval_loss": 1.6937507390975952,
|
| 1532 |
-
"eval_runtime": 11.7263,
|
| 1533 |
-
"eval_samples_per_second": 90.481,
|
| 1534 |
-
"eval_steps_per_second": 5.714,
|
| 1535 |
-
"step": 24206
|
| 1536 |
-
},
|
| 1537 |
-
{
|
| 1538 |
-
"epoch": 92.0,
|
| 1539 |
-
"eval_AUC": 0.7178845533698807,
|
| 1540 |
-
"eval_F1": 0.7572553125484722,
|
| 1541 |
-
"eval_Precision": 0.9016736401673641,
|
| 1542 |
-
"eval_Recall": 0.9729119638826185,
|
| 1543 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1544 |
-
"eval_loss": 1.6996102333068848,
|
| 1545 |
-
"eval_runtime": 11.8252,
|
| 1546 |
-
"eval_samples_per_second": 89.723,
|
| 1547 |
-
"eval_steps_per_second": 5.666,
|
| 1548 |
-
"step": 24472
|
| 1549 |
-
},
|
| 1550 |
-
{
|
| 1551 |
-
"epoch": 92.10526315789474,
|
| 1552 |
-
"grad_norm": 8.590963034293964e-07,
|
| 1553 |
-
"learning_rate": 1.5789473684210526e-05,
|
| 1554 |
-
"loss": 0.0,
|
| 1555 |
-
"step": 24500
|
| 1556 |
-
},
|
| 1557 |
-
{
|
| 1558 |
-
"epoch": 93.0,
|
| 1559 |
-
"eval_AUC": 0.7178845533698807,
|
| 1560 |
-
"eval_F1": 0.7572553125484722,
|
| 1561 |
-
"eval_Precision": 0.9016736401673641,
|
| 1562 |
-
"eval_Recall": 0.9729119638826185,
|
| 1563 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1564 |
-
"eval_loss": 1.705134630203247,
|
| 1565 |
-
"eval_runtime": 12.0159,
|
| 1566 |
-
"eval_samples_per_second": 88.3,
|
| 1567 |
-
"eval_steps_per_second": 5.576,
|
| 1568 |
-
"step": 24738
|
| 1569 |
-
},
|
| 1570 |
-
{
|
| 1571 |
-
"epoch": 93.98496240601504,
|
| 1572 |
-
"grad_norm": 1.100646727536514e-06,
|
| 1573 |
-
"learning_rate": 1.2030075187969925e-05,
|
| 1574 |
-
"loss": 0.0,
|
| 1575 |
-
"step": 25000
|
| 1576 |
-
},
|
| 1577 |
-
{
|
| 1578 |
-
"epoch": 94.0,
|
| 1579 |
-
"eval_AUC": 0.7178845533698807,
|
| 1580 |
-
"eval_F1": 0.7572553125484722,
|
| 1581 |
-
"eval_Precision": 0.9016736401673641,
|
| 1582 |
-
"eval_Recall": 0.9729119638826185,
|
| 1583 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1584 |
-
"eval_loss": 1.7103519439697266,
|
| 1585 |
-
"eval_runtime": 11.7931,
|
| 1586 |
-
"eval_samples_per_second": 89.968,
|
| 1587 |
-
"eval_steps_per_second": 5.681,
|
| 1588 |
-
"step": 25004
|
| 1589 |
-
},
|
| 1590 |
-
{
|
| 1591 |
-
"epoch": 95.0,
|
| 1592 |
-
"eval_AUC": 0.7178845533698807,
|
| 1593 |
-
"eval_F1": 0.7572553125484722,
|
| 1594 |
-
"eval_Precision": 0.9016736401673641,
|
| 1595 |
-
"eval_Recall": 0.9729119638826185,
|
| 1596 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1597 |
-
"eval_loss": 1.715171456336975,
|
| 1598 |
-
"eval_runtime": 11.6391,
|
| 1599 |
-
"eval_samples_per_second": 91.159,
|
| 1600 |
-
"eval_steps_per_second": 5.756,
|
| 1601 |
-
"step": 25270
|
| 1602 |
-
},
|
| 1603 |
-
{
|
| 1604 |
-
"epoch": 95.86466165413533,
|
| 1605 |
-
"grad_norm": 5.422148774414381e-07,
|
| 1606 |
-
"learning_rate": 8.270676691729324e-06,
|
| 1607 |
-
"loss": 0.0,
|
| 1608 |
-
"step": 25500
|
| 1609 |
-
},
|
| 1610 |
-
{
|
| 1611 |
-
"epoch": 96.0,
|
| 1612 |
-
"eval_AUC": 0.7178845533698807,
|
| 1613 |
-
"eval_F1": 0.7572553125484722,
|
| 1614 |
-
"eval_Precision": 0.9016736401673641,
|
| 1615 |
-
"eval_Recall": 0.9729119638826185,
|
| 1616 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1617 |
-
"eval_loss": 1.7194596529006958,
|
| 1618 |
-
"eval_runtime": 11.8706,
|
| 1619 |
-
"eval_samples_per_second": 89.38,
|
| 1620 |
-
"eval_steps_per_second": 5.644,
|
| 1621 |
-
"step": 25536
|
| 1622 |
-
},
|
| 1623 |
-
{
|
| 1624 |
-
"epoch": 97.0,
|
| 1625 |
-
"eval_AUC": 0.7178845533698807,
|
| 1626 |
-
"eval_F1": 0.7572553125484722,
|
| 1627 |
-
"eval_Precision": 0.9016736401673641,
|
| 1628 |
-
"eval_Recall": 0.9729119638826185,
|
| 1629 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1630 |
-
"eval_loss": 1.723157286643982,
|
| 1631 |
-
"eval_runtime": 12.0004,
|
| 1632 |
-
"eval_samples_per_second": 88.414,
|
| 1633 |
-
"eval_steps_per_second": 5.583,
|
| 1634 |
-
"step": 25802
|
| 1635 |
-
},
|
| 1636 |
-
{
|
| 1637 |
-
"epoch": 97.74436090225564,
|
| 1638 |
-
"grad_norm": 8.843226737553778e-07,
|
| 1639 |
-
"learning_rate": 4.511278195488722e-06,
|
| 1640 |
-
"loss": 0.0,
|
| 1641 |
-
"step": 26000
|
| 1642 |
-
},
|
| 1643 |
-
{
|
| 1644 |
-
"epoch": 98.0,
|
| 1645 |
-
"eval_AUC": 0.7178845533698807,
|
| 1646 |
-
"eval_F1": 0.7572553125484722,
|
| 1647 |
-
"eval_Precision": 0.9016736401673641,
|
| 1648 |
-
"eval_Recall": 0.9729119638826185,
|
| 1649 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1650 |
-
"eval_loss": 1.7260410785675049,
|
| 1651 |
-
"eval_runtime": 11.8627,
|
| 1652 |
-
"eval_samples_per_second": 89.44,
|
| 1653 |
-
"eval_steps_per_second": 5.648,
|
| 1654 |
-
"step": 26068
|
| 1655 |
-
},
|
| 1656 |
-
{
|
| 1657 |
-
"epoch": 99.0,
|
| 1658 |
-
"eval_AUC": 0.7178845533698807,
|
| 1659 |
-
"eval_F1": 0.7572553125484722,
|
| 1660 |
-
"eval_Precision": 0.9016736401673641,
|
| 1661 |
-
"eval_Recall": 0.9729119638826185,
|
| 1662 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1663 |
-
"eval_loss": 1.7279813289642334,
|
| 1664 |
-
"eval_runtime": 12.0306,
|
| 1665 |
-
"eval_samples_per_second": 88.192,
|
| 1666 |
-
"eval_steps_per_second": 5.569,
|
| 1667 |
-
"step": 26334
|
| 1668 |
-
},
|
| 1669 |
-
{
|
| 1670 |
-
"epoch": 99.62406015037594,
|
| 1671 |
-
"grad_norm": 6.334667546070705e-07,
|
| 1672 |
-
"learning_rate": 7.518796992481203e-07,
|
| 1673 |
-
"loss": 0.0,
|
| 1674 |
-
"step": 26500
|
| 1675 |
-
},
|
| 1676 |
-
{
|
| 1677 |
-
"epoch": 100.0,
|
| 1678 |
-
"eval_AUC": 0.7178845533698807,
|
| 1679 |
-
"eval_F1": 0.7572553125484722,
|
| 1680 |
-
"eval_Precision": 0.9016736401673641,
|
| 1681 |
-
"eval_Recall": 0.9729119638826185,
|
| 1682 |
-
"eval_accuracy": 0.8887841658812441,
|
| 1683 |
-
"eval_loss": 1.7286875247955322,
|
| 1684 |
-
"eval_runtime": 11.7137,
|
| 1685 |
-
"eval_samples_per_second": 90.578,
|
| 1686 |
-
"eval_steps_per_second": 5.72,
|
| 1687 |
-
"step": 26600
|
| 1688 |
},
|
| 1689 |
{
|
| 1690 |
-
"epoch":
|
| 1691 |
-
"step":
|
| 1692 |
-
"total_flos":
|
| 1693 |
-
"train_loss": 0.
|
| 1694 |
-
"train_runtime":
|
| 1695 |
-
"train_samples_per_second":
|
| 1696 |
-
"train_steps_per_second":
|
| 1697 |
}
|
| 1698 |
],
|
| 1699 |
"logging_steps": 500,
|
| 1700 |
-
"max_steps":
|
| 1701 |
"num_input_tokens_seen": 0,
|
| 1702 |
-
"num_train_epochs":
|
| 1703 |
"save_steps": 500,
|
| 1704 |
"stateful_callbacks": {
|
| 1705 |
"TrainerControl": {
|
|
@@ -1713,7 +205,7 @@
|
|
| 1713 |
"attributes": {}
|
| 1714 |
}
|
| 1715 |
},
|
| 1716 |
-
"total_flos":
|
| 1717 |
"train_batch_size": 16,
|
| 1718 |
"trial_name": null,
|
| 1719 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.048169028013944626,
|
| 3 |
+
"best_model_checkpoint": "google/vit-base-patch16-224-in21k_covid_19_ct_scans/checkpoint-432",
|
| 4 |
+
"epoch": 12.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 648,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.018518518518518517,
|
| 13 |
+
"grad_norm": 3.8348426818847656,
|
| 14 |
+
"learning_rate": 0.00019969135802469138,
|
| 15 |
+
"loss": 0.6804,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 1.0,
|
| 20 |
"eval_AUC": 0.5,
|
| 21 |
+
"eval_F1": 0.47277227722772275,
|
| 22 |
+
"eval_Precision": 0.8967136150234741,
|
| 23 |
"eval_Recall": 1.0,
|
| 24 |
+
"eval_accuracy": 0.8967136150234741,
|
| 25 |
+
"eval_loss": 0.38209885358810425,
|
| 26 |
+
"eval_runtime": 4.2504,
|
| 27 |
+
"eval_samples_per_second": 50.113,
|
| 28 |
+
"eval_steps_per_second": 3.294,
|
| 29 |
+
"step": 54
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
},
|
| 31 |
{
|
| 32 |
"epoch": 2.0,
|
| 33 |
"eval_AUC": 0.5,
|
| 34 |
+
"eval_F1": 0.47277227722772275,
|
| 35 |
+
"eval_Precision": 0.8967136150234741,
|
| 36 |
"eval_Recall": 1.0,
|
| 37 |
+
"eval_accuracy": 0.8967136150234741,
|
| 38 |
+
"eval_loss": 0.413409024477005,
|
| 39 |
+
"eval_runtime": 4.3554,
|
| 40 |
+
"eval_samples_per_second": 48.904,
|
| 41 |
+
"eval_steps_per_second": 3.214,
|
| 42 |
+
"step": 108
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 3.0,
|
| 46 |
+
"eval_AUC": 0.5454545454545454,
|
| 47 |
+
"eval_F1": 0.5584577114427861,
|
| 48 |
+
"eval_Precision": 0.9052132701421801,
|
| 49 |
"eval_Recall": 1.0,
|
| 50 |
+
"eval_accuracy": 0.9061032863849765,
|
| 51 |
+
"eval_loss": 0.27077189087867737,
|
| 52 |
+
"eval_runtime": 4.2214,
|
| 53 |
+
"eval_samples_per_second": 50.458,
|
| 54 |
+
"eval_steps_per_second": 3.316,
|
| 55 |
+
"step": 162
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"epoch": 4.0,
|
| 59 |
+
"eval_AUC": 0.7272727272727273,
|
| 60 |
+
"eval_F1": 0.797271573604061,
|
| 61 |
+
"eval_Precision": 0.9408866995073891,
|
| 62 |
"eval_Recall": 1.0,
|
| 63 |
+
"eval_accuracy": 0.9436619718309859,
|
| 64 |
+
"eval_loss": 0.2405475229024887,
|
| 65 |
+
"eval_runtime": 4.1493,
|
| 66 |
+
"eval_samples_per_second": 51.335,
|
| 67 |
+
"eval_steps_per_second": 3.374,
|
| 68 |
+
"step": 216
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 5.0,
|
| 72 |
+
"eval_AUC": 0.7272727272727273,
|
| 73 |
+
"eval_F1": 0.797271573604061,
|
| 74 |
+
"eval_Precision": 0.9408866995073891,
|
| 75 |
"eval_Recall": 1.0,
|
| 76 |
+
"eval_accuracy": 0.9436619718309859,
|
| 77 |
+
"eval_loss": 0.21931496262550354,
|
| 78 |
+
"eval_runtime": 4.3053,
|
| 79 |
+
"eval_samples_per_second": 49.474,
|
| 80 |
+
"eval_steps_per_second": 3.252,
|
| 81 |
+
"step": 270
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 6.0,
|
| 85 |
+
"eval_AUC": 0.9309852451213707,
|
| 86 |
+
"eval_F1": 0.8774901960784314,
|
| 87 |
+
"eval_Precision": 0.9891304347826086,
|
| 88 |
+
"eval_Recall": 0.9528795811518325,
|
| 89 |
+
"eval_accuracy": 0.9483568075117371,
|
| 90 |
+
"eval_loss": 0.1719074547290802,
|
| 91 |
+
"eval_runtime": 4.1609,
|
| 92 |
+
"eval_samples_per_second": 51.191,
|
| 93 |
+
"eval_steps_per_second": 3.365,
|
| 94 |
+
"step": 324
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 7.0,
|
| 98 |
+
"eval_AUC": 0.9519276534983341,
|
| 99 |
+
"eval_F1": 0.9611998299836055,
|
| 100 |
+
"eval_Precision": 0.9895833333333334,
|
| 101 |
+
"eval_Recall": 0.9947643979057592,
|
| 102 |
+
"eval_accuracy": 0.9859154929577465,
|
| 103 |
+
"eval_loss": 0.05248570814728737,
|
| 104 |
+
"eval_runtime": 4.1623,
|
| 105 |
+
"eval_samples_per_second": 51.174,
|
| 106 |
+
"eval_steps_per_second": 3.364,
|
| 107 |
+
"step": 378
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 8.0,
|
| 111 |
+
"eval_AUC": 0.9545454545454545,
|
| 112 |
+
"eval_F1": 0.9735863095238095,
|
| 113 |
+
"eval_Precision": 0.9896373056994818,
|
| 114 |
+
"eval_Recall": 1.0,
|
| 115 |
+
"eval_accuracy": 0.9906103286384976,
|
| 116 |
+
"eval_loss": 0.048169028013944626,
|
| 117 |
+
"eval_runtime": 4.2766,
|
| 118 |
+
"eval_samples_per_second": 49.806,
|
| 119 |
+
"eval_steps_per_second": 3.274,
|
| 120 |
+
"step": 432
|
| 121 |
},
|
| 122 |
{
|
| 123 |
"epoch": 9.0,
|
| 124 |
+
"eval_AUC": 0.8863636363636364,
|
| 125 |
+
"eval_F1": 0.9294374875770225,
|
| 126 |
+
"eval_Precision": 0.9744897959183674,
|
| 127 |
+
"eval_Recall": 1.0,
|
| 128 |
+
"eval_accuracy": 0.9765258215962441,
|
| 129 |
+
"eval_loss": 0.09067811071872711,
|
| 130 |
+
"eval_runtime": 4.2163,
|
| 131 |
+
"eval_samples_per_second": 50.519,
|
| 132 |
+
"eval_steps_per_second": 3.32,
|
| 133 |
+
"step": 486
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 9.25925925925926,
|
| 137 |
+
"grad_norm": 0.03957719728350639,
|
| 138 |
+
"learning_rate": 4.567901234567901e-05,
|
| 139 |
+
"loss": 0.1258,
|
| 140 |
+
"step": 500
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 10.0,
|
| 144 |
+
"eval_AUC": 0.8863636363636364,
|
| 145 |
+
"eval_F1": 0.9294374875770225,
|
| 146 |
+
"eval_Precision": 0.9744897959183674,
|
| 147 |
+
"eval_Recall": 1.0,
|
| 148 |
+
"eval_accuracy": 0.9765258215962441,
|
| 149 |
+
"eval_loss": 0.10092553496360779,
|
| 150 |
+
"eval_runtime": 4.2027,
|
| 151 |
+
"eval_samples_per_second": 50.682,
|
| 152 |
+
"eval_steps_per_second": 3.331,
|
| 153 |
+
"step": 540
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 11.0,
|
| 157 |
+
"eval_AUC": 0.8863636363636364,
|
| 158 |
+
"eval_F1": 0.9294374875770225,
|
| 159 |
+
"eval_Precision": 0.9744897959183674,
|
| 160 |
+
"eval_Recall": 1.0,
|
| 161 |
+
"eval_accuracy": 0.9765258215962441,
|
| 162 |
+
"eval_loss": 0.10514290630817413,
|
| 163 |
+
"eval_runtime": 4.2216,
|
| 164 |
+
"eval_samples_per_second": 50.454,
|
| 165 |
+
"eval_steps_per_second": 3.316,
|
| 166 |
+
"step": 594
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 167 |
},
|
| 168 |
{
|
| 169 |
"epoch": 12.0,
|
| 170 |
+
"eval_AUC": 0.8863636363636364,
|
| 171 |
+
"eval_F1": 0.9294374875770225,
|
| 172 |
+
"eval_Precision": 0.9744897959183674,
|
| 173 |
+
"eval_Recall": 1.0,
|
| 174 |
+
"eval_accuracy": 0.9765258215962441,
|
| 175 |
+
"eval_loss": 0.10642894357442856,
|
| 176 |
+
"eval_runtime": 4.2244,
|
| 177 |
+
"eval_samples_per_second": 50.421,
|
| 178 |
+
"eval_steps_per_second": 3.314,
|
| 179 |
+
"step": 648
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 180 |
},
|
| 181 |
{
|
| 182 |
+
"epoch": 12.0,
|
| 183 |
+
"step": 648,
|
| 184 |
+
"total_flos": 7.894883901934633e+17,
|
| 185 |
+
"train_loss": 0.09885871769101531,
|
| 186 |
+
"train_runtime": 224.7245,
|
| 187 |
+
"train_samples_per_second": 45.336,
|
| 188 |
+
"train_steps_per_second": 2.884
|
| 189 |
}
|
| 190 |
],
|
| 191 |
"logging_steps": 500,
|
| 192 |
+
"max_steps": 648,
|
| 193 |
"num_input_tokens_seen": 0,
|
| 194 |
+
"num_train_epochs": 12,
|
| 195 |
"save_steps": 500,
|
| 196 |
"stateful_callbacks": {
|
| 197 |
"TrainerControl": {
|
|
|
|
| 205 |
"attributes": {}
|
| 206 |
}
|
| 207 |
},
|
| 208 |
+
"total_flos": 7.894883901934633e+17,
|
| 209 |
"train_batch_size": 16,
|
| 210 |
"trial_name": null,
|
| 211 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4731
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:357df7b508e81337a045bc900ffa166dacc0301c45e85247db7b83a80952fefb
|
| 3 |
size 4731
|