Upload folder using huggingface_hub
Browse files- best_eval_results.txt +7 -0
- config.json +28 -0
- eval_results.txt +1379 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
best_eval_results.txt
ADDED
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att_loss = 0.0
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cls_loss = 0.2774283394823569
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eval_loss = 0.4494276660861391
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global_step = 12299
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loss = 0.2774283394823569
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mcc = 0.5547015581596438
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rep_loss = 0.0
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config.json
ADDED
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"cell": {},
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"classifier_dropout": null,
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"dtype": "float32",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"pre_trained": "",
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"structure": [],
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"training": "",
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"transformers_version": "4.57.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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eval_results.txt
ADDED
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|
| 1 |
+
att_loss = 0.0
|
| 2 |
+
cls_loss = 0.3314089049594571
|
| 3 |
+
eval_loss = 0.558346668879191
|
| 4 |
+
global_step = 99
|
| 5 |
+
loss = 0.3314089049594571
|
| 6 |
+
mcc = 0.5379646517492308
|
| 7 |
+
rep_loss = 0.0
|
| 8 |
+
att_loss = 0.0
|
| 9 |
+
cls_loss = 0.30922394601543945
|
| 10 |
+
eval_loss = 0.4729316487456813
|
| 11 |
+
global_step = 199
|
| 12 |
+
loss = 0.30922394601543945
|
| 13 |
+
mcc = 0.53908953967947
|
| 14 |
+
rep_loss = 0.0
|
| 15 |
+
att_loss = 0.0
|
| 16 |
+
cls_loss = 0.29862612834742236
|
| 17 |
+
eval_loss = 0.4591611668919072
|
| 18 |
+
global_step = 299
|
| 19 |
+
loss = 0.29862612834742236
|
| 20 |
+
mcc = 0.5174363323196072
|
| 21 |
+
rep_loss = 0.0
|
| 22 |
+
att_loss = 0.0
|
| 23 |
+
cls_loss = 0.2936462070559499
|
| 24 |
+
eval_loss = 0.46544614389087213
|
| 25 |
+
global_step = 399
|
| 26 |
+
loss = 0.2936462070559499
|
| 27 |
+
mcc = 0.5129362341229983
|
| 28 |
+
rep_loss = 0.0
|
| 29 |
+
att_loss = 0.0
|
| 30 |
+
cls_loss = 0.2904629405729756
|
| 31 |
+
eval_loss = 0.4587692695133614
|
| 32 |
+
global_step = 499
|
| 33 |
+
loss = 0.2904629405729756
|
| 34 |
+
mcc = 0.5024595293214101
|
| 35 |
+
rep_loss = 0.0
|
| 36 |
+
att_loss = 0.0
|
| 37 |
+
cls_loss = 0.28836528601152867
|
| 38 |
+
eval_loss = 0.46001112099849817
|
| 39 |
+
global_step = 599
|
| 40 |
+
loss = 0.28836528601152867
|
| 41 |
+
mcc = 0.5243240799797736
|
| 42 |
+
rep_loss = 0.0
|
| 43 |
+
att_loss = 0.0
|
| 44 |
+
cls_loss = 0.28679145567748
|
| 45 |
+
eval_loss = 0.4705536166826884
|
| 46 |
+
global_step = 699
|
| 47 |
+
loss = 0.28679145567748
|
| 48 |
+
mcc = 0.5083737693895587
|
| 49 |
+
rep_loss = 0.0
|
| 50 |
+
att_loss = 0.0
|
| 51 |
+
cls_loss = 0.28570082403243857
|
| 52 |
+
eval_loss = 0.457729236646132
|
| 53 |
+
global_step = 799
|
| 54 |
+
loss = 0.28570082403243857
|
| 55 |
+
mcc = 0.5195210533288269
|
| 56 |
+
rep_loss = 0.0
|
| 57 |
+
att_loss = 0.0
|
| 58 |
+
cls_loss = 0.2847436185474523
|
| 59 |
+
eval_loss = 0.46017983917034033
|
| 60 |
+
global_step = 899
|
| 61 |
+
loss = 0.2847436185474523
|
| 62 |
+
mcc = 0.5148043176747271
|
| 63 |
+
rep_loss = 0.0
|
| 64 |
+
att_loss = 0.0
|
| 65 |
+
cls_loss = 0.2840113452783934
|
| 66 |
+
eval_loss = 0.4604815100178574
|
| 67 |
+
global_step = 999
|
| 68 |
+
loss = 0.2840113452783934
|
| 69 |
+
mcc = 0.5137144786818878
|
| 70 |
+
rep_loss = 0.0
|
| 71 |
+
att_loss = 0.0
|
| 72 |
+
cls_loss = 0.2833313442176857
|
| 73 |
+
eval_loss = 0.45605057297330914
|
| 74 |
+
global_step = 1099
|
| 75 |
+
loss = 0.2833313442176857
|
| 76 |
+
mcc = 0.5086434504606193
|
| 77 |
+
rep_loss = 0.0
|
| 78 |
+
att_loss = 0.0
|
| 79 |
+
cls_loss = 0.28292435375325775
|
| 80 |
+
eval_loss = 0.4674258195992672
|
| 81 |
+
global_step = 1199
|
| 82 |
+
loss = 0.28292435375325775
|
| 83 |
+
mcc = 0.5023013330243151
|
| 84 |
+
rep_loss = 0.0
|
| 85 |
+
att_loss = 0.0
|
| 86 |
+
cls_loss = 0.28249076254281563
|
| 87 |
+
eval_loss = 0.4585440529115272
|
| 88 |
+
global_step = 1299
|
| 89 |
+
loss = 0.28249076254281563
|
| 90 |
+
mcc = 0.49769781134092017
|
| 91 |
+
rep_loss = 0.0
|
| 92 |
+
att_loss = 0.0
|
| 93 |
+
cls_loss = 0.28220195374887613
|
| 94 |
+
eval_loss = 0.46350200248487067
|
| 95 |
+
global_step = 1399
|
| 96 |
+
loss = 0.28220195374887613
|
| 97 |
+
mcc = 0.5022737075453998
|
| 98 |
+
rep_loss = 0.0
|
| 99 |
+
att_loss = 0.0
|
| 100 |
+
cls_loss = 0.2818971301333915
|
| 101 |
+
eval_loss = 0.45705517133076984
|
| 102 |
+
global_step = 1499
|
| 103 |
+
loss = 0.2818971301333915
|
| 104 |
+
mcc = 0.5090466963654656
|
| 105 |
+
rep_loss = 0.0
|
| 106 |
+
att_loss = 0.0
|
| 107 |
+
cls_loss = 0.28161911792200456
|
| 108 |
+
eval_loss = 0.45958378640088166
|
| 109 |
+
global_step = 1599
|
| 110 |
+
loss = 0.28161911792200456
|
| 111 |
+
mcc = 0.5301258210741284
|
| 112 |
+
rep_loss = 0.0
|
| 113 |
+
att_loss = 0.0
|
| 114 |
+
cls_loss = 0.2813657304341124
|
| 115 |
+
eval_loss = 0.45043707210006134
|
| 116 |
+
global_step = 1699
|
| 117 |
+
loss = 0.2813657304341124
|
| 118 |
+
mcc = 0.5258777693272533
|
| 119 |
+
rep_loss = 0.0
|
| 120 |
+
att_loss = 0.0
|
| 121 |
+
cls_loss = 0.2812084330658968
|
| 122 |
+
eval_loss = 0.458847572406133
|
| 123 |
+
global_step = 1799
|
| 124 |
+
loss = 0.2812084330658968
|
| 125 |
+
mcc = 0.49912748891398284
|
| 126 |
+
rep_loss = 0.0
|
| 127 |
+
att_loss = 0.0
|
| 128 |
+
cls_loss = 0.28113282589990257
|
| 129 |
+
eval_loss = 0.4568930548248869
|
| 130 |
+
global_step = 1899
|
| 131 |
+
loss = 0.28113282589990257
|
| 132 |
+
mcc = 0.5136924627518875
|
| 133 |
+
rep_loss = 0.0
|
| 134 |
+
att_loss = 0.0
|
| 135 |
+
cls_loss = 0.2810653937852878
|
| 136 |
+
eval_loss = 0.460727898460446
|
| 137 |
+
global_step = 1999
|
| 138 |
+
loss = 0.2810653937852878
|
| 139 |
+
mcc = 0.5083396333380269
|
| 140 |
+
rep_loss = 0.0
|
| 141 |
+
att_loss = 0.0
|
| 142 |
+
cls_loss = 0.2809604485086625
|
| 143 |
+
eval_loss = 0.4551165293563496
|
| 144 |
+
global_step = 2099
|
| 145 |
+
loss = 0.2809604485086625
|
| 146 |
+
mcc = 0.5094661687755515
|
| 147 |
+
rep_loss = 0.0
|
| 148 |
+
att_loss = 0.0
|
| 149 |
+
cls_loss = 0.2808897217101214
|
| 150 |
+
eval_loss = 0.4542377916249362
|
| 151 |
+
global_step = 2199
|
| 152 |
+
loss = 0.2808897217101214
|
| 153 |
+
mcc = 0.5216771032432638
|
| 154 |
+
rep_loss = 0.0
|
| 155 |
+
att_loss = 0.0
|
| 156 |
+
cls_loss = 0.2808540752591025
|
| 157 |
+
eval_loss = 0.4551556787707589
|
| 158 |
+
global_step = 2299
|
| 159 |
+
loss = 0.2808540752591025
|
| 160 |
+
mcc = 0.5030366431605939
|
| 161 |
+
rep_loss = 0.0
|
| 162 |
+
att_loss = 0.0
|
| 163 |
+
cls_loss = 0.280771658892878
|
| 164 |
+
eval_loss = 0.4529932525121804
|
| 165 |
+
global_step = 2399
|
| 166 |
+
loss = 0.280771658892878
|
| 167 |
+
mcc = 0.4992436500882773
|
| 168 |
+
rep_loss = 0.0
|
| 169 |
+
att_loss = 0.0
|
| 170 |
+
cls_loss = 0.2806162594997582
|
| 171 |
+
eval_loss = 0.4564899161006465
|
| 172 |
+
global_step = 2499
|
| 173 |
+
loss = 0.2806162594997582
|
| 174 |
+
mcc = 0.5258663312307151
|
| 175 |
+
rep_loss = 0.0
|
| 176 |
+
att_loss = 0.0
|
| 177 |
+
cls_loss = 0.2805227454280156
|
| 178 |
+
eval_loss = 0.45711556709173956
|
| 179 |
+
global_step = 2599
|
| 180 |
+
loss = 0.2805227454280156
|
| 181 |
+
mcc = 0.5083396333380269
|
| 182 |
+
rep_loss = 0.0
|
| 183 |
+
att_loss = 0.0
|
| 184 |
+
cls_loss = 0.2804428632831785
|
| 185 |
+
eval_loss = 0.46782211011106317
|
| 186 |
+
global_step = 2699
|
| 187 |
+
loss = 0.2804428632831785
|
| 188 |
+
mcc = 0.5130268868060578
|
| 189 |
+
rep_loss = 0.0
|
| 190 |
+
att_loss = 0.0
|
| 191 |
+
cls_loss = 0.28033756286640515
|
| 192 |
+
eval_loss = 0.46800248821576435
|
| 193 |
+
global_step = 2799
|
| 194 |
+
loss = 0.28033756286640515
|
| 195 |
+
mcc = 0.5107299372054125
|
| 196 |
+
rep_loss = 0.0
|
| 197 |
+
att_loss = 0.0
|
| 198 |
+
cls_loss = 0.2802383803517377
|
| 199 |
+
eval_loss = 0.45390655145500647
|
| 200 |
+
global_step = 2899
|
| 201 |
+
loss = 0.2802383803517377
|
| 202 |
+
mcc = 0.5290369945616428
|
| 203 |
+
rep_loss = 0.0
|
| 204 |
+
att_loss = 0.0
|
| 205 |
+
cls_loss = 0.28015635979199416
|
| 206 |
+
eval_loss = 0.45774519172581757
|
| 207 |
+
global_step = 2999
|
| 208 |
+
loss = 0.28015635979199416
|
| 209 |
+
mcc = 0.5171981604121658
|
| 210 |
+
rep_loss = 0.0
|
| 211 |
+
att_loss = 0.0
|
| 212 |
+
cls_loss = 0.280116079530819
|
| 213 |
+
eval_loss = 0.46175673965251807
|
| 214 |
+
global_step = 3099
|
| 215 |
+
loss = 0.280116079530819
|
| 216 |
+
mcc = 0.5292575156160738
|
| 217 |
+
rep_loss = 0.0
|
| 218 |
+
att_loss = 0.0
|
| 219 |
+
cls_loss = 0.28002789718596477
|
| 220 |
+
eval_loss = 0.4570824693549763
|
| 221 |
+
global_step = 3199
|
| 222 |
+
loss = 0.28002789718596477
|
| 223 |
+
mcc = 0.5102742207491978
|
| 224 |
+
rep_loss = 0.0
|
| 225 |
+
att_loss = 0.0
|
| 226 |
+
cls_loss = 0.27996111961793596
|
| 227 |
+
eval_loss = 0.4685366289182143
|
| 228 |
+
global_step = 3299
|
| 229 |
+
loss = 0.27996111961793596
|
| 230 |
+
mcc = 0.5075323666037682
|
| 231 |
+
rep_loss = 0.0
|
| 232 |
+
att_loss = 0.0
|
| 233 |
+
cls_loss = 0.2799214343133482
|
| 234 |
+
eval_loss = 0.46386505076379486
|
| 235 |
+
global_step = 3399
|
| 236 |
+
loss = 0.2799214343133482
|
| 237 |
+
mcc = 0.49818194163113544
|
| 238 |
+
rep_loss = 0.0
|
| 239 |
+
att_loss = 0.0
|
| 240 |
+
cls_loss = 0.27988882744421306
|
| 241 |
+
eval_loss = 0.46293420683253894
|
| 242 |
+
global_step = 3499
|
| 243 |
+
loss = 0.27988882744421306
|
| 244 |
+
mcc = 0.5157729880756086
|
| 245 |
+
rep_loss = 0.0
|
| 246 |
+
att_loss = 0.0
|
| 247 |
+
cls_loss = 0.2798519777643843
|
| 248 |
+
eval_loss = 0.46502567240686127
|
| 249 |
+
global_step = 3599
|
| 250 |
+
loss = 0.2798519777643843
|
| 251 |
+
mcc = 0.5141951979542654
|
| 252 |
+
rep_loss = 0.0
|
| 253 |
+
att_loss = 0.0
|
| 254 |
+
cls_loss = 0.27981998667294156
|
| 255 |
+
eval_loss = 0.47166980215997406
|
| 256 |
+
global_step = 3699
|
| 257 |
+
loss = 0.27981998667294156
|
| 258 |
+
mcc = 0.5080191328496129
|
| 259 |
+
rep_loss = 0.0
|
| 260 |
+
att_loss = 0.0
|
| 261 |
+
cls_loss = 0.2798082064047836
|
| 262 |
+
eval_loss = 0.4631090304165175
|
| 263 |
+
global_step = 3799
|
| 264 |
+
loss = 0.2798082064047836
|
| 265 |
+
mcc = 0.5080191328496129
|
| 266 |
+
rep_loss = 0.0
|
| 267 |
+
att_loss = 0.0
|
| 268 |
+
cls_loss = 0.2797351769795324
|
| 269 |
+
eval_loss = 0.46201050462144794
|
| 270 |
+
global_step = 3899
|
| 271 |
+
loss = 0.2797351769795324
|
| 272 |
+
mcc = 0.5050401952530084
|
| 273 |
+
rep_loss = 0.0
|
| 274 |
+
att_loss = 0.0
|
| 275 |
+
cls_loss = 0.279704924630922
|
| 276 |
+
eval_loss = 0.458680326739947
|
| 277 |
+
global_step = 3999
|
| 278 |
+
loss = 0.279704924630922
|
| 279 |
+
mcc = 0.5201497752653439
|
| 280 |
+
rep_loss = 0.0
|
| 281 |
+
att_loss = 0.0
|
| 282 |
+
cls_loss = 0.2796514375954612
|
| 283 |
+
eval_loss = 0.46237338853604865
|
| 284 |
+
global_step = 4099
|
| 285 |
+
loss = 0.2796514375954612
|
| 286 |
+
mcc = 0.49253624505108995
|
| 287 |
+
rep_loss = 0.0
|
| 288 |
+
att_loss = 0.0
|
| 289 |
+
cls_loss = 0.27964162459953196
|
| 290 |
+
eval_loss = 0.4619031963926373
|
| 291 |
+
global_step = 4199
|
| 292 |
+
loss = 0.27964162459953196
|
| 293 |
+
mcc = 0.5229745445290679
|
| 294 |
+
rep_loss = 0.0
|
| 295 |
+
att_loss = 0.0
|
| 296 |
+
cls_loss = 0.27961426247175586
|
| 297 |
+
eval_loss = 0.45615032495874347
|
| 298 |
+
global_step = 4299
|
| 299 |
+
loss = 0.27961426247175586
|
| 300 |
+
mcc = 0.5365264430934975
|
| 301 |
+
rep_loss = 0.0
|
| 302 |
+
att_loss = 0.0
|
| 303 |
+
cls_loss = 0.2795747756165357
|
| 304 |
+
eval_loss = 0.46128532922629156
|
| 305 |
+
global_step = 4399
|
| 306 |
+
loss = 0.2795747756165357
|
| 307 |
+
mcc = 0.5041823056504463
|
| 308 |
+
rep_loss = 0.0
|
| 309 |
+
att_loss = 0.0
|
| 310 |
+
cls_loss = 0.2795220803760057
|
| 311 |
+
eval_loss = 0.4602658495758519
|
| 312 |
+
global_step = 4499
|
| 313 |
+
loss = 0.2795220803760057
|
| 314 |
+
mcc = 0.5375605063482544
|
| 315 |
+
rep_loss = 0.0
|
| 316 |
+
att_loss = 0.0
|
| 317 |
+
cls_loss = 0.27950176937822724
|
| 318 |
+
eval_loss = 0.4619640265450333
|
| 319 |
+
global_step = 4599
|
| 320 |
+
loss = 0.27950176937822724
|
| 321 |
+
mcc = 0.5124562838813566
|
| 322 |
+
rep_loss = 0.0
|
| 323 |
+
att_loss = 0.0
|
| 324 |
+
cls_loss = 0.27945331381810273
|
| 325 |
+
eval_loss = 0.4646099471684658
|
| 326 |
+
global_step = 4699
|
| 327 |
+
loss = 0.27945331381810273
|
| 328 |
+
mcc = 0.5169077666628997
|
| 329 |
+
rep_loss = 0.0
|
| 330 |
+
att_loss = 0.0
|
| 331 |
+
cls_loss = 0.27942949730012534
|
| 332 |
+
eval_loss = 0.45465407678575226
|
| 333 |
+
global_step = 4799
|
| 334 |
+
loss = 0.27942949730012534
|
| 335 |
+
mcc = 0.5177285176003892
|
| 336 |
+
rep_loss = 0.0
|
| 337 |
+
att_loss = 0.0
|
| 338 |
+
cls_loss = 0.27937435647265524
|
| 339 |
+
eval_loss = 0.46109452843666077
|
| 340 |
+
global_step = 4899
|
| 341 |
+
loss = 0.27937435647265524
|
| 342 |
+
mcc = 0.5100445720965326
|
| 343 |
+
rep_loss = 0.0
|
| 344 |
+
att_loss = 0.0
|
| 345 |
+
cls_loss = 0.27937307727589655
|
| 346 |
+
eval_loss = 0.4682340549700188
|
| 347 |
+
global_step = 4999
|
| 348 |
+
loss = 0.27937307727589655
|
| 349 |
+
mcc = 0.5113098668014724
|
| 350 |
+
rep_loss = 0.0
|
| 351 |
+
att_loss = 0.0
|
| 352 |
+
cls_loss = 0.27931859925941616
|
| 353 |
+
eval_loss = 0.4559897735263362
|
| 354 |
+
global_step = 5099
|
| 355 |
+
loss = 0.27931859925941616
|
| 356 |
+
mcc = 0.4956987863834426
|
| 357 |
+
rep_loss = 0.0
|
| 358 |
+
att_loss = 0.0
|
| 359 |
+
cls_loss = 0.2792279692418668
|
| 360 |
+
eval_loss = 0.46568602684772376
|
| 361 |
+
global_step = 5199
|
| 362 |
+
loss = 0.2792279692418668
|
| 363 |
+
mcc = 0.5037325824551425
|
| 364 |
+
rep_loss = 0.0
|
| 365 |
+
att_loss = 0.0
|
| 366 |
+
cls_loss = 0.27921356061681935
|
| 367 |
+
eval_loss = 0.4651721232768261
|
| 368 |
+
global_step = 5299
|
| 369 |
+
loss = 0.27921356061681935
|
| 370 |
+
mcc = 0.5043359873367174
|
| 371 |
+
rep_loss = 0.0
|
| 372 |
+
att_loss = 0.0
|
| 373 |
+
cls_loss = 0.27919509032905754
|
| 374 |
+
eval_loss = 0.4558627451911117
|
| 375 |
+
global_step = 5399
|
| 376 |
+
loss = 0.27919509032905754
|
| 377 |
+
mcc = 0.5203811415338604
|
| 378 |
+
rep_loss = 0.0
|
| 379 |
+
att_loss = 0.0
|
| 380 |
+
cls_loss = 0.2791919815044963
|
| 381 |
+
eval_loss = 0.47234560684724286
|
| 382 |
+
global_step = 5499
|
| 383 |
+
loss = 0.2791919815044963
|
| 384 |
+
mcc = 0.5050318665715698
|
| 385 |
+
rep_loss = 0.0
|
| 386 |
+
att_loss = 0.0
|
| 387 |
+
cls_loss = 0.27913230621648655
|
| 388 |
+
eval_loss = 0.4647821206035036
|
| 389 |
+
global_step = 5599
|
| 390 |
+
loss = 0.27913230621648655
|
| 391 |
+
mcc = 0.5309667017559951
|
| 392 |
+
rep_loss = 0.0
|
| 393 |
+
att_loss = 0.0
|
| 394 |
+
cls_loss = 0.2790925793400729
|
| 395 |
+
eval_loss = 0.46153073238604
|
| 396 |
+
global_step = 5699
|
| 397 |
+
loss = 0.2790925793400729
|
| 398 |
+
mcc = 0.5190273679468184
|
| 399 |
+
rep_loss = 0.0
|
| 400 |
+
att_loss = 0.0
|
| 401 |
+
cls_loss = 0.27906418180471865
|
| 402 |
+
eval_loss = 0.4553970116557497
|
| 403 |
+
global_step = 5799
|
| 404 |
+
loss = 0.27906418180471865
|
| 405 |
+
mcc = 0.5290221303314049
|
| 406 |
+
rep_loss = 0.0
|
| 407 |
+
att_loss = 0.0
|
| 408 |
+
cls_loss = 0.2789917427703554
|
| 409 |
+
eval_loss = 0.46314272465127887
|
| 410 |
+
global_step = 5899
|
| 411 |
+
loss = 0.2789917427703554
|
| 412 |
+
mcc = 0.5279776596624234
|
| 413 |
+
rep_loss = 0.0
|
| 414 |
+
att_loss = 0.0
|
| 415 |
+
cls_loss = 0.278957199890885
|
| 416 |
+
eval_loss = 0.45775021115938824
|
| 417 |
+
global_step = 5999
|
| 418 |
+
loss = 0.278957199890885
|
| 419 |
+
mcc = 0.518420673903781
|
| 420 |
+
rep_loss = 0.0
|
| 421 |
+
att_loss = 0.0
|
| 422 |
+
cls_loss = 0.2789460385597266
|
| 423 |
+
eval_loss = 0.45754783352216083
|
| 424 |
+
global_step = 6099
|
| 425 |
+
loss = 0.2789460385597266
|
| 426 |
+
mcc = 0.5120097095655185
|
| 427 |
+
rep_loss = 0.0
|
| 428 |
+
att_loss = 0.0
|
| 429 |
+
cls_loss = 0.27893527109097194
|
| 430 |
+
eval_loss = 0.4572519813523148
|
| 431 |
+
global_step = 6199
|
| 432 |
+
loss = 0.27893527109097194
|
| 433 |
+
mcc = 0.5067159264085137
|
| 434 |
+
rep_loss = 0.0
|
| 435 |
+
att_loss = 0.0
|
| 436 |
+
cls_loss = 0.27890371736703856
|
| 437 |
+
eval_loss = 0.4562020681121133
|
| 438 |
+
global_step = 6299
|
| 439 |
+
loss = 0.27890371736703856
|
| 440 |
+
mcc = 0.5159467834583324
|
| 441 |
+
rep_loss = 0.0
|
| 442 |
+
att_loss = 0.0
|
| 443 |
+
cls_loss = 0.27888854389163475
|
| 444 |
+
eval_loss = 0.4561521221290935
|
| 445 |
+
global_step = 6399
|
| 446 |
+
loss = 0.27888854389163475
|
| 447 |
+
mcc = 0.5068496037498794
|
| 448 |
+
rep_loss = 0.0
|
| 449 |
+
att_loss = 0.0
|
| 450 |
+
cls_loss = 0.2788673949335186
|
| 451 |
+
eval_loss = 0.45499569538867835
|
| 452 |
+
global_step = 6499
|
| 453 |
+
loss = 0.2788673949335186
|
| 454 |
+
mcc = 0.5248136238117787
|
| 455 |
+
rep_loss = 0.0
|
| 456 |
+
att_loss = 0.0
|
| 457 |
+
cls_loss = 0.2757796198129654
|
| 458 |
+
eval_loss = 0.4573383358391849
|
| 459 |
+
global_step = 6599
|
| 460 |
+
loss = 0.2757796198129654
|
| 461 |
+
mcc = 0.526358024246533
|
| 462 |
+
rep_loss = 0.0
|
| 463 |
+
att_loss = 0.0
|
| 464 |
+
cls_loss = 0.27811965489616763
|
| 465 |
+
eval_loss = 0.464380630941102
|
| 466 |
+
global_step = 6699
|
| 467 |
+
loss = 0.27811965489616763
|
| 468 |
+
mcc = 0.5061972812614249
|
| 469 |
+
rep_loss = 0.0
|
| 470 |
+
att_loss = 0.0
|
| 471 |
+
cls_loss = 0.27816279437027724
|
| 472 |
+
eval_loss = 0.45742737885677454
|
| 473 |
+
global_step = 6799
|
| 474 |
+
loss = 0.27816279437027724
|
| 475 |
+
mcc = 0.5094661687755515
|
| 476 |
+
rep_loss = 0.0
|
| 477 |
+
att_loss = 0.0
|
| 478 |
+
cls_loss = 0.27831977841101196
|
| 479 |
+
eval_loss = 0.4616742395993435
|
| 480 |
+
global_step = 6899
|
| 481 |
+
loss = 0.27831977841101196
|
| 482 |
+
mcc = 0.5168700801849877
|
| 483 |
+
rep_loss = 0.0
|
| 484 |
+
att_loss = 0.0
|
| 485 |
+
cls_loss = 0.2787469409332417
|
| 486 |
+
eval_loss = 0.46456035791021405
|
| 487 |
+
global_step = 6999
|
| 488 |
+
loss = 0.2787469409332417
|
| 489 |
+
mcc = 0.5087627070614528
|
| 490 |
+
rep_loss = 0.0
|
| 491 |
+
att_loss = 0.0
|
| 492 |
+
cls_loss = 0.2783590109930152
|
| 493 |
+
eval_loss = 0.4590166509151459
|
| 494 |
+
global_step = 7099
|
| 495 |
+
loss = 0.2783590109930152
|
| 496 |
+
mcc = 0.5003981004491761
|
| 497 |
+
rep_loss = 0.0
|
| 498 |
+
att_loss = 0.0
|
| 499 |
+
cls_loss = 0.2783066115730646
|
| 500 |
+
eval_loss = 0.46331078265652514
|
| 501 |
+
global_step = 7199
|
| 502 |
+
loss = 0.2783066115730646
|
| 503 |
+
mcc = 0.515768451621402
|
| 504 |
+
rep_loss = 0.0
|
| 505 |
+
att_loss = 0.0
|
| 506 |
+
cls_loss = 0.27824770591475745
|
| 507 |
+
eval_loss = 0.46015787756804266
|
| 508 |
+
global_step = 7299
|
| 509 |
+
loss = 0.27824770591475745
|
| 510 |
+
mcc = 0.5237298450652518
|
| 511 |
+
rep_loss = 0.0
|
| 512 |
+
att_loss = 0.0
|
| 513 |
+
cls_loss = 0.2780952813910015
|
| 514 |
+
eval_loss = 0.4625533123811086
|
| 515 |
+
global_step = 7399
|
| 516 |
+
loss = 0.2780952813910015
|
| 517 |
+
mcc = 0.5034296190683365
|
| 518 |
+
rep_loss = 0.0
|
| 519 |
+
att_loss = 0.0
|
| 520 |
+
cls_loss = 0.278015139422058
|
| 521 |
+
eval_loss = 0.4528456592198574
|
| 522 |
+
global_step = 7499
|
| 523 |
+
loss = 0.278015139422058
|
| 524 |
+
mcc = 0.5217876741934422
|
| 525 |
+
rep_loss = 0.0
|
| 526 |
+
att_loss = 0.0
|
| 527 |
+
cls_loss = 0.277956866410624
|
| 528 |
+
eval_loss = 0.4593150651816166
|
| 529 |
+
global_step = 7599
|
| 530 |
+
loss = 0.277956866410624
|
| 531 |
+
mcc = 0.5251026682217866
|
| 532 |
+
rep_loss = 0.0
|
| 533 |
+
att_loss = 0.0
|
| 534 |
+
cls_loss = 0.2779009008537168
|
| 535 |
+
eval_loss = 0.4646720245028987
|
| 536 |
+
global_step = 7699
|
| 537 |
+
loss = 0.2779009008537168
|
| 538 |
+
mcc = 0.5183921815500953
|
| 539 |
+
rep_loss = 0.0
|
| 540 |
+
att_loss = 0.0
|
| 541 |
+
cls_loss = 0.2779220149440821
|
| 542 |
+
eval_loss = 0.454393154743946
|
| 543 |
+
global_step = 7799
|
| 544 |
+
loss = 0.2779220149440821
|
| 545 |
+
mcc = 0.5041352192953922
|
| 546 |
+
rep_loss = 0.0
|
| 547 |
+
att_loss = 0.0
|
| 548 |
+
cls_loss = 0.2777234323528464
|
| 549 |
+
eval_loss = 0.45908459840398846
|
| 550 |
+
global_step = 7899
|
| 551 |
+
loss = 0.2777234323528464
|
| 552 |
+
mcc = 0.5020574037201646
|
| 553 |
+
rep_loss = 0.0
|
| 554 |
+
att_loss = 0.0
|
| 555 |
+
cls_loss = 0.2777911504767729
|
| 556 |
+
eval_loss = 0.4548939312949325
|
| 557 |
+
global_step = 7999
|
| 558 |
+
loss = 0.2777911504767729
|
| 559 |
+
mcc = 0.5196909986566013
|
| 560 |
+
rep_loss = 0.0
|
| 561 |
+
att_loss = 0.0
|
| 562 |
+
cls_loss = 0.27777142050933645
|
| 563 |
+
eval_loss = 0.4575051547903003
|
| 564 |
+
global_step = 8099
|
| 565 |
+
loss = 0.27777142050933645
|
| 566 |
+
mcc = 0.49580015034789016
|
| 567 |
+
rep_loss = 0.0
|
| 568 |
+
att_loss = 0.0
|
| 569 |
+
cls_loss = 0.27780618237103905
|
| 570 |
+
eval_loss = 0.4631824285695047
|
| 571 |
+
global_step = 8199
|
| 572 |
+
loss = 0.27780618237103905
|
| 573 |
+
mcc = 0.5155959050899789
|
| 574 |
+
rep_loss = 0.0
|
| 575 |
+
att_loss = 0.0
|
| 576 |
+
cls_loss = 0.27793682633326366
|
| 577 |
+
eval_loss = 0.465167505271507
|
| 578 |
+
global_step = 8299
|
| 579 |
+
loss = 0.27793682633326366
|
| 580 |
+
mcc = 0.51826530606729
|
| 581 |
+
rep_loss = 0.0
|
| 582 |
+
att_loss = 0.0
|
| 583 |
+
cls_loss = 0.27787920028929436
|
| 584 |
+
eval_loss = 0.4498411010612141
|
| 585 |
+
global_step = 8399
|
| 586 |
+
loss = 0.27787920028929436
|
| 587 |
+
mcc = 0.5065152939803185
|
| 588 |
+
rep_loss = 0.0
|
| 589 |
+
att_loss = 0.0
|
| 590 |
+
cls_loss = 0.2779220895403448
|
| 591 |
+
eval_loss = 0.45216559821909125
|
| 592 |
+
global_step = 8499
|
| 593 |
+
loss = 0.2779220895403448
|
| 594 |
+
mcc = 0.5080191328496129
|
| 595 |
+
rep_loss = 0.0
|
| 596 |
+
att_loss = 0.0
|
| 597 |
+
cls_loss = 0.2778555219416728
|
| 598 |
+
eval_loss = 0.4617597225940589
|
| 599 |
+
global_step = 8599
|
| 600 |
+
loss = 0.2778555219416728
|
| 601 |
+
mcc = 0.5083999234602438
|
| 602 |
+
rep_loss = 0.0
|
| 603 |
+
att_loss = 0.0
|
| 604 |
+
cls_loss = 0.2777616101115262
|
| 605 |
+
eval_loss = 0.4578354196114974
|
| 606 |
+
global_step = 8699
|
| 607 |
+
loss = 0.2777616101115262
|
| 608 |
+
mcc = 0.5031704769687771
|
| 609 |
+
rep_loss = 0.0
|
| 610 |
+
att_loss = 0.0
|
| 611 |
+
cls_loss = 0.27773835413333725
|
| 612 |
+
eval_loss = 0.4657824310389432
|
| 613 |
+
global_step = 8799
|
| 614 |
+
loss = 0.27773835413333725
|
| 615 |
+
mcc = 0.4881240673260976
|
| 616 |
+
rep_loss = 0.0
|
| 617 |
+
att_loss = 0.0
|
| 618 |
+
cls_loss = 0.2777370062798986
|
| 619 |
+
eval_loss = 0.45953314503033954
|
| 620 |
+
global_step = 8899
|
| 621 |
+
loss = 0.2777370062798986
|
| 622 |
+
mcc = 0.5153769103822675
|
| 623 |
+
rep_loss = 0.0
|
| 624 |
+
att_loss = 0.0
|
| 625 |
+
cls_loss = 0.277684324152904
|
| 626 |
+
eval_loss = 0.45517356648589624
|
| 627 |
+
global_step = 8999
|
| 628 |
+
loss = 0.277684324152904
|
| 629 |
+
mcc = 0.5163748285133078
|
| 630 |
+
rep_loss = 0.0
|
| 631 |
+
att_loss = 0.0
|
| 632 |
+
cls_loss = 0.27766840475888105
|
| 633 |
+
eval_loss = 0.457070403026812
|
| 634 |
+
global_step = 9099
|
| 635 |
+
loss = 0.27766840475888105
|
| 636 |
+
mcc = 0.51233675887833
|
| 637 |
+
rep_loss = 0.0
|
| 638 |
+
att_loss = 0.0
|
| 639 |
+
cls_loss = 0.2776113221802378
|
| 640 |
+
eval_loss = 0.45618007399819116
|
| 641 |
+
global_step = 9199
|
| 642 |
+
loss = 0.2776113221802378
|
| 643 |
+
mcc = 0.5248226674672084
|
| 644 |
+
rep_loss = 0.0
|
| 645 |
+
att_loss = 0.0
|
| 646 |
+
cls_loss = 0.2775809703416814
|
| 647 |
+
eval_loss = 0.45970096552010736
|
| 648 |
+
global_step = 9299
|
| 649 |
+
loss = 0.2775809703416814
|
| 650 |
+
mcc = 0.49818194163113544
|
| 651 |
+
rep_loss = 0.0
|
| 652 |
+
att_loss = 0.0
|
| 653 |
+
cls_loss = 0.2775813296447892
|
| 654 |
+
eval_loss = 0.4484571742288994
|
| 655 |
+
global_step = 9399
|
| 656 |
+
loss = 0.2775813296447892
|
| 657 |
+
mcc = 0.5353363425506695
|
| 658 |
+
rep_loss = 0.0
|
| 659 |
+
att_loss = 0.0
|
| 660 |
+
cls_loss = 0.2775996053032064
|
| 661 |
+
eval_loss = 0.45738490603186865
|
| 662 |
+
global_step = 9499
|
| 663 |
+
loss = 0.2775996053032064
|
| 664 |
+
mcc = 0.5274553187190298
|
| 665 |
+
rep_loss = 0.0
|
| 666 |
+
att_loss = 0.0
|
| 667 |
+
cls_loss = 0.2775802656899041
|
| 668 |
+
eval_loss = 0.45940391764496313
|
| 669 |
+
global_step = 9599
|
| 670 |
+
loss = 0.2775802656899041
|
| 671 |
+
mcc = 0.5309667017559951
|
| 672 |
+
rep_loss = 0.0
|
| 673 |
+
att_loss = 0.0
|
| 674 |
+
cls_loss = 0.2775419917792927
|
| 675 |
+
eval_loss = 0.45416359558249964
|
| 676 |
+
global_step = 9699
|
| 677 |
+
loss = 0.2775419917792927
|
| 678 |
+
mcc = 0.5168700801849877
|
| 679 |
+
rep_loss = 0.0
|
| 680 |
+
att_loss = 0.0
|
| 681 |
+
cls_loss = 0.2775549595470955
|
| 682 |
+
eval_loss = 0.45552727580070496
|
| 683 |
+
global_step = 9799
|
| 684 |
+
loss = 0.2775549595470955
|
| 685 |
+
mcc = 0.5302530461642105
|
| 686 |
+
rep_loss = 0.0
|
| 687 |
+
att_loss = 0.0
|
| 688 |
+
cls_loss = 0.2775005057643531
|
| 689 |
+
eval_loss = 0.4519644948569211
|
| 690 |
+
global_step = 9899
|
| 691 |
+
loss = 0.2775005057643531
|
| 692 |
+
mcc = 0.5375605063482544
|
| 693 |
+
rep_loss = 0.0
|
| 694 |
+
att_loss = 0.0
|
| 695 |
+
cls_loss = 0.2775091579102952
|
| 696 |
+
eval_loss = 0.45495487162561127
|
| 697 |
+
global_step = 9999
|
| 698 |
+
loss = 0.2775091579102952
|
| 699 |
+
mcc = 0.5290831606897504
|
| 700 |
+
rep_loss = 0.0
|
| 701 |
+
att_loss = 0.0
|
| 702 |
+
cls_loss = 0.2775382169535103
|
| 703 |
+
eval_loss = 0.45335144888270984
|
| 704 |
+
global_step = 10099
|
| 705 |
+
loss = 0.2775382169535103
|
| 706 |
+
mcc = 0.5212483689279175
|
| 707 |
+
rep_loss = 0.0
|
| 708 |
+
att_loss = 0.0
|
| 709 |
+
cls_loss = 0.2775139581126788
|
| 710 |
+
eval_loss = 0.4594464329156009
|
| 711 |
+
global_step = 10199
|
| 712 |
+
loss = 0.2775139581126788
|
| 713 |
+
mcc = 0.5374399947273891
|
| 714 |
+
rep_loss = 0.0
|
| 715 |
+
att_loss = 0.0
|
| 716 |
+
cls_loss = 0.2774607858602481
|
| 717 |
+
eval_loss = 0.45745504489450745
|
| 718 |
+
global_step = 10299
|
| 719 |
+
loss = 0.2774607858602481
|
| 720 |
+
mcc = 0.5371844138786498
|
| 721 |
+
rep_loss = 0.0
|
| 722 |
+
att_loss = 0.0
|
| 723 |
+
cls_loss = 0.27743388400594265
|
| 724 |
+
eval_loss = 0.45088858676679205
|
| 725 |
+
global_step = 10399
|
| 726 |
+
loss = 0.27743388400594265
|
| 727 |
+
mcc = 0.5347185537666785
|
| 728 |
+
rep_loss = 0.0
|
| 729 |
+
att_loss = 0.0
|
| 730 |
+
cls_loss = 0.27751540343017606
|
| 731 |
+
eval_loss = 0.46303236665147723
|
| 732 |
+
global_step = 10499
|
| 733 |
+
loss = 0.27751540343017606
|
| 734 |
+
mcc = 0.5330871284819242
|
| 735 |
+
rep_loss = 0.0
|
| 736 |
+
att_loss = 0.0
|
| 737 |
+
cls_loss = 0.27752122901506593
|
| 738 |
+
eval_loss = 0.45777365204059717
|
| 739 |
+
global_step = 10599
|
| 740 |
+
loss = 0.27752122901506593
|
| 741 |
+
mcc = 0.5201497752653439
|
| 742 |
+
rep_loss = 0.0
|
| 743 |
+
att_loss = 0.0
|
| 744 |
+
cls_loss = 0.2775007768753793
|
| 745 |
+
eval_loss = 0.4558024289030017
|
| 746 |
+
global_step = 10699
|
| 747 |
+
loss = 0.2775007768753793
|
| 748 |
+
mcc = 0.5228028383317379
|
| 749 |
+
rep_loss = 0.0
|
| 750 |
+
att_loss = 0.0
|
| 751 |
+
cls_loss = 0.2774832700614017
|
| 752 |
+
eval_loss = 0.4519307076027899
|
| 753 |
+
global_step = 10799
|
| 754 |
+
loss = 0.2774832700614017
|
| 755 |
+
mcc = 0.5190273679468184
|
| 756 |
+
rep_loss = 0.0
|
| 757 |
+
att_loss = 0.0
|
| 758 |
+
cls_loss = 0.2774546956747327
|
| 759 |
+
eval_loss = 0.45893278085824213
|
| 760 |
+
global_step = 10899
|
| 761 |
+
loss = 0.2774546956747327
|
| 762 |
+
mcc = 0.5297290847722776
|
| 763 |
+
rep_loss = 0.0
|
| 764 |
+
att_loss = 0.0
|
| 765 |
+
cls_loss = 0.27744613046488037
|
| 766 |
+
eval_loss = 0.45718637018492725
|
| 767 |
+
global_step = 10999
|
| 768 |
+
loss = 0.27744613046488037
|
| 769 |
+
mcc = 0.5184277879580146
|
| 770 |
+
rep_loss = 0.0
|
| 771 |
+
att_loss = 0.0
|
| 772 |
+
cls_loss = 0.2774493484948075
|
| 773 |
+
eval_loss = 0.45472668788649817
|
| 774 |
+
global_step = 11099
|
| 775 |
+
loss = 0.2774493484948075
|
| 776 |
+
mcc = 0.5355562155372715
|
| 777 |
+
rep_loss = 0.0
|
| 778 |
+
att_loss = 0.0
|
| 779 |
+
cls_loss = 0.2774652933344232
|
| 780 |
+
eval_loss = 0.4553719036506884
|
| 781 |
+
global_step = 11199
|
| 782 |
+
loss = 0.2774652933344232
|
| 783 |
+
mcc = 0.5297290847722776
|
| 784 |
+
rep_loss = 0.0
|
| 785 |
+
att_loss = 0.0
|
| 786 |
+
cls_loss = 0.2774399504838448
|
| 787 |
+
eval_loss = 0.45496712760491803
|
| 788 |
+
global_step = 11299
|
| 789 |
+
loss = 0.2774399504838448
|
| 790 |
+
mcc = 0.5357272816819911
|
| 791 |
+
rep_loss = 0.0
|
| 792 |
+
att_loss = 0.0
|
| 793 |
+
cls_loss = 0.27742566522536527
|
| 794 |
+
eval_loss = 0.4532328591202245
|
| 795 |
+
global_step = 11399
|
| 796 |
+
loss = 0.27742566522536527
|
| 797 |
+
mcc = 0.5302530461642105
|
| 798 |
+
rep_loss = 0.0
|
| 799 |
+
att_loss = 0.0
|
| 800 |
+
cls_loss = 0.2774223230147148
|
| 801 |
+
eval_loss = 0.4519491602074016
|
| 802 |
+
global_step = 11499
|
| 803 |
+
loss = 0.2774223230147148
|
| 804 |
+
mcc = 0.5166623535745778
|
| 805 |
+
rep_loss = 0.0
|
| 806 |
+
att_loss = 0.0
|
| 807 |
+
cls_loss = 0.27743097503098557
|
| 808 |
+
eval_loss = 0.4579541466452859
|
| 809 |
+
global_step = 11599
|
| 810 |
+
loss = 0.27743097503098557
|
| 811 |
+
mcc = 0.5281023217797143
|
| 812 |
+
rep_loss = 0.0
|
| 813 |
+
att_loss = 0.0
|
| 814 |
+
cls_loss = 0.27743173339243593
|
| 815 |
+
eval_loss = 0.4504963927196734
|
| 816 |
+
global_step = 11699
|
| 817 |
+
loss = 0.27743173339243593
|
| 818 |
+
mcc = 0.5290831606897504
|
| 819 |
+
rep_loss = 0.0
|
| 820 |
+
att_loss = 0.0
|
| 821 |
+
cls_loss = 0.27745687274361097
|
| 822 |
+
eval_loss = 0.44933091058875574
|
| 823 |
+
global_step = 11799
|
| 824 |
+
loss = 0.27745687274361097
|
| 825 |
+
mcc = 0.5347185537666785
|
| 826 |
+
rep_loss = 0.0
|
| 827 |
+
att_loss = 0.0
|
| 828 |
+
cls_loss = 0.27743749302526766
|
| 829 |
+
eval_loss = 0.448698260567405
|
| 830 |
+
global_step = 11899
|
| 831 |
+
loss = 0.27743749302526766
|
| 832 |
+
mcc = 0.5322060958308948
|
| 833 |
+
rep_loss = 0.0
|
| 834 |
+
att_loss = 0.0
|
| 835 |
+
cls_loss = 0.27743755156887095
|
| 836 |
+
eval_loss = 0.4573155262253501
|
| 837 |
+
global_step = 11999
|
| 838 |
+
loss = 0.27743755156887095
|
| 839 |
+
mcc = 0.5224496771410306
|
| 840 |
+
rep_loss = 0.0
|
| 841 |
+
att_loss = 0.0
|
| 842 |
+
cls_loss = 0.2774356068924156
|
| 843 |
+
eval_loss = 0.4552531224308592
|
| 844 |
+
global_step = 12099
|
| 845 |
+
loss = 0.2774356068924156
|
| 846 |
+
mcc = 0.5324104093270398
|
| 847 |
+
rep_loss = 0.0
|
| 848 |
+
att_loss = 0.0
|
| 849 |
+
cls_loss = 0.27742416586070123
|
| 850 |
+
eval_loss = 0.4579685023336699
|
| 851 |
+
global_step = 12199
|
| 852 |
+
loss = 0.27742416586070123
|
| 853 |
+
mcc = 0.5291785294213451
|
| 854 |
+
rep_loss = 0.0
|
| 855 |
+
att_loss = 0.0
|
| 856 |
+
cls_loss = 0.2774283394823569
|
| 857 |
+
eval_loss = 0.4494276660861391
|
| 858 |
+
global_step = 12299
|
| 859 |
+
loss = 0.2774283394823569
|
| 860 |
+
mcc = 0.5547015581596438
|
| 861 |
+
rep_loss = 0.0
|
| 862 |
+
att_loss = 0.0
|
| 863 |
+
cls_loss = 0.2774310273026533
|
| 864 |
+
eval_loss = 0.45670852155396435
|
| 865 |
+
global_step = 12399
|
| 866 |
+
loss = 0.2774310273026533
|
| 867 |
+
mcc = 0.5395175517784774
|
| 868 |
+
rep_loss = 0.0
|
| 869 |
+
att_loss = 0.0
|
| 870 |
+
cls_loss = 0.2773878394997096
|
| 871 |
+
eval_loss = 0.4560541799574187
|
| 872 |
+
global_step = 12499
|
| 873 |
+
loss = 0.2773878394997096
|
| 874 |
+
mcc = 0.5315672216228357
|
| 875 |
+
rep_loss = 0.0
|
| 876 |
+
att_loss = 0.0
|
| 877 |
+
cls_loss = 0.2774021773165381
|
| 878 |
+
eval_loss = 0.45269398255781695
|
| 879 |
+
global_step = 12599
|
| 880 |
+
loss = 0.2774021773165381
|
| 881 |
+
mcc = 0.5231821039975777
|
| 882 |
+
rep_loss = 0.0
|
| 883 |
+
att_loss = 0.0
|
| 884 |
+
cls_loss = 0.2773917444309081
|
| 885 |
+
eval_loss = 0.4570877570094484
|
| 886 |
+
global_step = 12699
|
| 887 |
+
loss = 0.2773917444309081
|
| 888 |
+
mcc = 0.5369793883294685
|
| 889 |
+
rep_loss = 0.0
|
| 890 |
+
att_loss = 0.0
|
| 891 |
+
cls_loss = 0.2773833233024865
|
| 892 |
+
eval_loss = 0.45557611458229297
|
| 893 |
+
global_step = 12799
|
| 894 |
+
loss = 0.2773833233024865
|
| 895 |
+
mcc = 0.5312319613383731
|
| 896 |
+
rep_loss = 0.0
|
| 897 |
+
att_loss = 0.0
|
| 898 |
+
cls_loss = 0.2773907062796129
|
| 899 |
+
eval_loss = 0.45298474394913874
|
| 900 |
+
global_step = 12899
|
| 901 |
+
loss = 0.2773907062796129
|
| 902 |
+
mcc = 0.5279435340913744
|
| 903 |
+
rep_loss = 0.0
|
| 904 |
+
att_loss = 0.0
|
| 905 |
+
cls_loss = 0.27739593593739925
|
| 906 |
+
eval_loss = 0.4516429973371101
|
| 907 |
+
global_step = 12999
|
| 908 |
+
loss = 0.27739593593739925
|
| 909 |
+
mcc = 0.5455569520342612
|
| 910 |
+
rep_loss = 0.0
|
| 911 |
+
att_loss = 0.0
|
| 912 |
+
cls_loss = 0.2773754865453472
|
| 913 |
+
eval_loss = 0.451772644664302
|
| 914 |
+
global_step = 13099
|
| 915 |
+
loss = 0.2773754865453472
|
| 916 |
+
mcc = 0.5447721171016089
|
| 917 |
+
rep_loss = 0.0
|
| 918 |
+
att_loss = 0.0
|
| 919 |
+
cls_loss = 0.278318057457606
|
| 920 |
+
eval_loss = 0.4590268884644364
|
| 921 |
+
global_step = 13199
|
| 922 |
+
loss = 0.278318057457606
|
| 923 |
+
mcc = 0.5356489226051415
|
| 924 |
+
rep_loss = 0.0
|
| 925 |
+
att_loss = 0.0
|
| 926 |
+
cls_loss = 0.27664143721991724
|
| 927 |
+
eval_loss = 0.45668373776204657
|
| 928 |
+
global_step = 13299
|
| 929 |
+
loss = 0.27664143721991724
|
| 930 |
+
mcc = 0.5395175517784774
|
| 931 |
+
rep_loss = 0.0
|
| 932 |
+
att_loss = 0.0
|
| 933 |
+
cls_loss = 0.27545882497677965
|
| 934 |
+
eval_loss = 0.4490573957110896
|
| 935 |
+
global_step = 13399
|
| 936 |
+
loss = 0.27545882497677965
|
| 937 |
+
mcc = 0.5496207419670193
|
| 938 |
+
rep_loss = 0.0
|
| 939 |
+
att_loss = 0.0
|
| 940 |
+
cls_loss = 0.2757971603121958
|
| 941 |
+
eval_loss = 0.45480099681651953
|
| 942 |
+
global_step = 13499
|
| 943 |
+
loss = 0.2757971603121958
|
| 944 |
+
mcc = 0.5348097624143603
|
| 945 |
+
rep_loss = 0.0
|
| 946 |
+
att_loss = 0.0
|
| 947 |
+
cls_loss = 0.27587504841587657
|
| 948 |
+
eval_loss = 0.45544032255808514
|
| 949 |
+
global_step = 13599
|
| 950 |
+
loss = 0.27587504841587657
|
| 951 |
+
mcc = 0.5254536736633585
|
| 952 |
+
rep_loss = 0.0
|
| 953 |
+
att_loss = 0.0
|
| 954 |
+
cls_loss = 0.2759395760204094
|
| 955 |
+
eval_loss = 0.456780217813723
|
| 956 |
+
global_step = 13699
|
| 957 |
+
loss = 0.2759395760204094
|
| 958 |
+
mcc = 0.5281023217797143
|
| 959 |
+
rep_loss = 0.0
|
| 960 |
+
att_loss = 0.0
|
| 961 |
+
cls_loss = 0.2761271443028364
|
| 962 |
+
eval_loss = 0.4568403245824756
|
| 963 |
+
global_step = 13799
|
| 964 |
+
loss = 0.2761271443028364
|
| 965 |
+
mcc = 0.5270843127054785
|
| 966 |
+
rep_loss = 0.0
|
| 967 |
+
att_loss = 0.0
|
| 968 |
+
cls_loss = 0.2763089490752294
|
| 969 |
+
eval_loss = 0.45502680359464703
|
| 970 |
+
global_step = 13899
|
| 971 |
+
loss = 0.2763089490752294
|
| 972 |
+
mcc = 0.5302530461642105
|
| 973 |
+
rep_loss = 0.0
|
| 974 |
+
att_loss = 0.0
|
| 975 |
+
cls_loss = 0.2763681988449415
|
| 976 |
+
eval_loss = 0.4561975769924395
|
| 977 |
+
global_step = 13999
|
| 978 |
+
loss = 0.2763681988449415
|
| 979 |
+
mcc = 0.5316647141164849
|
| 980 |
+
rep_loss = 0.0
|
| 981 |
+
att_loss = 0.0
|
| 982 |
+
cls_loss = 0.2764051501998807
|
| 983 |
+
eval_loss = 0.45802293582396075
|
| 984 |
+
global_step = 14099
|
| 985 |
+
loss = 0.2764051501998807
|
| 986 |
+
mcc = 0.5403061957257674
|
| 987 |
+
rep_loss = 0.0
|
| 988 |
+
att_loss = 0.0
|
| 989 |
+
cls_loss = 0.2763773106164101
|
| 990 |
+
eval_loss = 0.45300981312087085
|
| 991 |
+
global_step = 14199
|
| 992 |
+
loss = 0.2763773106164101
|
| 993 |
+
mcc = 0.5274553187190298
|
| 994 |
+
rep_loss = 0.0
|
| 995 |
+
att_loss = 0.0
|
| 996 |
+
cls_loss = 0.27634809661330784
|
| 997 |
+
eval_loss = 0.45622625856688526
|
| 998 |
+
global_step = 14299
|
| 999 |
+
loss = 0.27634809661330784
|
| 1000 |
+
mcc = 0.5183921815500953
|
| 1001 |
+
rep_loss = 0.0
|
| 1002 |
+
att_loss = 0.0
|
| 1003 |
+
cls_loss = 0.27630603134730713
|
| 1004 |
+
eval_loss = 0.45476906317653076
|
| 1005 |
+
global_step = 14399
|
| 1006 |
+
loss = 0.27630603134730713
|
| 1007 |
+
mcc = 0.5318161795948887
|
| 1008 |
+
rep_loss = 0.0
|
| 1009 |
+
att_loss = 0.0
|
| 1010 |
+
cls_loss = 0.2763643769406471
|
| 1011 |
+
eval_loss = 0.45554043939619354
|
| 1012 |
+
global_step = 14499
|
| 1013 |
+
loss = 0.2763643769406471
|
| 1014 |
+
mcc = 0.5276117265770821
|
| 1015 |
+
rep_loss = 0.0
|
| 1016 |
+
att_loss = 0.0
|
| 1017 |
+
cls_loss = 0.2765032273920146
|
| 1018 |
+
eval_loss = 0.45379058700619324
|
| 1019 |
+
global_step = 14599
|
| 1020 |
+
loss = 0.2765032273920146
|
| 1021 |
+
mcc = 0.5106329014613062
|
| 1022 |
+
rep_loss = 0.0
|
| 1023 |
+
att_loss = 0.0
|
| 1024 |
+
cls_loss = 0.2764957464535241
|
| 1025 |
+
eval_loss = 0.45894434145002655
|
| 1026 |
+
global_step = 14699
|
| 1027 |
+
loss = 0.2764957464535241
|
| 1028 |
+
mcc = 0.5171981604121658
|
| 1029 |
+
rep_loss = 0.0
|
| 1030 |
+
att_loss = 0.0
|
| 1031 |
+
cls_loss = 0.27650387620355416
|
| 1032 |
+
eval_loss = 0.4566023765188275
|
| 1033 |
+
global_step = 14799
|
| 1034 |
+
loss = 0.27650387620355416
|
| 1035 |
+
mcc = 0.5322060958308948
|
| 1036 |
+
rep_loss = 0.0
|
| 1037 |
+
att_loss = 0.0
|
| 1038 |
+
cls_loss = 0.2765135073292109
|
| 1039 |
+
eval_loss = 0.4491843418641524
|
| 1040 |
+
global_step = 14899
|
| 1041 |
+
loss = 0.2765135073292109
|
| 1042 |
+
mcc = 0.5376769315385652
|
| 1043 |
+
rep_loss = 0.0
|
| 1044 |
+
att_loss = 0.0
|
| 1045 |
+
cls_loss = 0.27645776300979885
|
| 1046 |
+
eval_loss = 0.459045028144663
|
| 1047 |
+
global_step = 14999
|
| 1048 |
+
loss = 0.27645776300979885
|
| 1049 |
+
mcc = 0.5163630963192842
|
| 1050 |
+
rep_loss = 0.0
|
| 1051 |
+
att_loss = 0.0
|
| 1052 |
+
cls_loss = 0.2765224870350924
|
| 1053 |
+
eval_loss = 0.45438164382269886
|
| 1054 |
+
global_step = 15099
|
| 1055 |
+
loss = 0.2765224870350924
|
| 1056 |
+
mcc = 0.5276117265770821
|
| 1057 |
+
rep_loss = 0.0
|
| 1058 |
+
att_loss = 0.0
|
| 1059 |
+
cls_loss = 0.27655044160950176
|
| 1060 |
+
eval_loss = 0.45653185880545416
|
| 1061 |
+
global_step = 15199
|
| 1062 |
+
loss = 0.27655044160950176
|
| 1063 |
+
mcc = 0.5316647141164849
|
| 1064 |
+
rep_loss = 0.0
|
| 1065 |
+
att_loss = 0.0
|
| 1066 |
+
cls_loss = 0.276501307121777
|
| 1067 |
+
eval_loss = 0.45656741749156604
|
| 1068 |
+
global_step = 15299
|
| 1069 |
+
loss = 0.276501307121777
|
| 1070 |
+
mcc = 0.5276117265770821
|
| 1071 |
+
rep_loss = 0.0
|
| 1072 |
+
att_loss = 0.0
|
| 1073 |
+
cls_loss = 0.2765050630943977
|
| 1074 |
+
eval_loss = 0.45284795941728534
|
| 1075 |
+
global_step = 15399
|
| 1076 |
+
loss = 0.2765050630943977
|
| 1077 |
+
mcc = 0.5315672216228357
|
| 1078 |
+
rep_loss = 0.0
|
| 1079 |
+
att_loss = 0.0
|
| 1080 |
+
cls_loss = 0.2764615254801762
|
| 1081 |
+
eval_loss = 0.46013957171729114
|
| 1082 |
+
global_step = 15499
|
| 1083 |
+
loss = 0.2764615254801762
|
| 1084 |
+
mcc = 0.5266763751215275
|
| 1085 |
+
rep_loss = 0.0
|
| 1086 |
+
att_loss = 0.0
|
| 1087 |
+
cls_loss = 0.27637805436200846
|
| 1088 |
+
eval_loss = 0.452160148006497
|
| 1089 |
+
global_step = 15599
|
| 1090 |
+
loss = 0.27637805436200846
|
| 1091 |
+
mcc = 0.5191953567121099
|
| 1092 |
+
rep_loss = 0.0
|
| 1093 |
+
att_loss = 0.0
|
| 1094 |
+
cls_loss = 0.2763865352175824
|
| 1095 |
+
eval_loss = 0.4566154796065706
|
| 1096 |
+
global_step = 15699
|
| 1097 |
+
loss = 0.2763865352175824
|
| 1098 |
+
mcc = 0.5291785294213451
|
| 1099 |
+
rep_loss = 0.0
|
| 1100 |
+
att_loss = 0.0
|
| 1101 |
+
cls_loss = 0.27636008938412504
|
| 1102 |
+
eval_loss = 0.4549913090286833
|
| 1103 |
+
global_step = 15799
|
| 1104 |
+
loss = 0.27636008938412504
|
| 1105 |
+
mcc = 0.5190097111686822
|
| 1106 |
+
rep_loss = 0.0
|
| 1107 |
+
att_loss = 0.0
|
| 1108 |
+
cls_loss = 0.27635927772821206
|
| 1109 |
+
eval_loss = 0.45468395858099964
|
| 1110 |
+
global_step = 15899
|
| 1111 |
+
loss = 0.27635927772821206
|
| 1112 |
+
mcc = 0.5176740389815154
|
| 1113 |
+
rep_loss = 0.0
|
| 1114 |
+
att_loss = 0.0
|
| 1115 |
+
cls_loss = 0.2763913096525186
|
| 1116 |
+
eval_loss = 0.45687262668754114
|
| 1117 |
+
global_step = 15999
|
| 1118 |
+
loss = 0.2763913096525186
|
| 1119 |
+
mcc = 0.5379646517492308
|
| 1120 |
+
rep_loss = 0.0
|
| 1121 |
+
att_loss = 0.0
|
| 1122 |
+
cls_loss = 0.27635131174959077
|
| 1123 |
+
eval_loss = 0.4549617071946462
|
| 1124 |
+
global_step = 16099
|
| 1125 |
+
loss = 0.27635131174959077
|
| 1126 |
+
mcc = 0.5200867163616212
|
| 1127 |
+
rep_loss = 0.0
|
| 1128 |
+
att_loss = 0.0
|
| 1129 |
+
cls_loss = 0.27639669551826385
|
| 1130 |
+
eval_loss = 0.45427083336945734
|
| 1131 |
+
global_step = 16199
|
| 1132 |
+
loss = 0.27639669551826385
|
| 1133 |
+
mcc = 0.5185990890831609
|
| 1134 |
+
rep_loss = 0.0
|
| 1135 |
+
att_loss = 0.0
|
| 1136 |
+
cls_loss = 0.27637253505177495
|
| 1137 |
+
eval_loss = 0.4564370702613484
|
| 1138 |
+
global_step = 16299
|
| 1139 |
+
loss = 0.27637253505177495
|
| 1140 |
+
mcc = 0.5276346700087589
|
| 1141 |
+
rep_loss = 0.0
|
| 1142 |
+
att_loss = 0.0
|
| 1143 |
+
cls_loss = 0.27633983237177234
|
| 1144 |
+
eval_loss = 0.4526894535079147
|
| 1145 |
+
global_step = 16399
|
| 1146 |
+
loss = 0.27633983237177234
|
| 1147 |
+
mcc = 0.5318161795948887
|
| 1148 |
+
rep_loss = 0.0
|
| 1149 |
+
att_loss = 0.0
|
| 1150 |
+
cls_loss = 0.2763634096796183
|
| 1151 |
+
eval_loss = 0.4523286151163506
|
| 1152 |
+
global_step = 16499
|
| 1153 |
+
loss = 0.2763634096796183
|
| 1154 |
+
mcc = 0.5344510385480925
|
| 1155 |
+
rep_loss = 0.0
|
| 1156 |
+
att_loss = 0.0
|
| 1157 |
+
cls_loss = 0.2763351077740057
|
| 1158 |
+
eval_loss = 0.45641895496484003
|
| 1159 |
+
global_step = 16599
|
| 1160 |
+
loss = 0.2763351077740057
|
| 1161 |
+
mcc = 0.524327905037375
|
| 1162 |
+
rep_loss = 0.0
|
| 1163 |
+
att_loss = 0.0
|
| 1164 |
+
cls_loss = 0.27630653749354106
|
| 1165 |
+
eval_loss = 0.45319110335725726
|
| 1166 |
+
global_step = 16699
|
| 1167 |
+
loss = 0.27630653749354106
|
| 1168 |
+
mcc = 0.5338113857914387
|
| 1169 |
+
rep_loss = 0.0
|
| 1170 |
+
att_loss = 0.0
|
| 1171 |
+
cls_loss = 0.27626817112535146
|
| 1172 |
+
eval_loss = 0.45247378132560034
|
| 1173 |
+
global_step = 16799
|
| 1174 |
+
loss = 0.27626817112535146
|
| 1175 |
+
mcc = 0.5309667017559951
|
| 1176 |
+
rep_loss = 0.0
|
| 1177 |
+
att_loss = 0.0
|
| 1178 |
+
cls_loss = 0.276290586126336
|
| 1179 |
+
eval_loss = 0.45359588301543036
|
| 1180 |
+
global_step = 16899
|
| 1181 |
+
loss = 0.276290586126336
|
| 1182 |
+
mcc = 0.5408255169384978
|
| 1183 |
+
rep_loss = 0.0
|
| 1184 |
+
att_loss = 0.0
|
| 1185 |
+
cls_loss = 0.2762416014914814
|
| 1186 |
+
eval_loss = 0.4515194757418199
|
| 1187 |
+
global_step = 16999
|
| 1188 |
+
loss = 0.2762416014914814
|
| 1189 |
+
mcc = 0.5364994308218176
|
| 1190 |
+
rep_loss = 0.0
|
| 1191 |
+
att_loss = 0.0
|
| 1192 |
+
cls_loss = 0.2762412506697214
|
| 1193 |
+
eval_loss = 0.4490665648922776
|
| 1194 |
+
global_step = 17099
|
| 1195 |
+
loss = 0.2762412506697214
|
| 1196 |
+
mcc = 0.528019541905275
|
| 1197 |
+
rep_loss = 0.0
|
| 1198 |
+
att_loss = 0.0
|
| 1199 |
+
cls_loss = 0.2762108766161376
|
| 1200 |
+
eval_loss = 0.45332705523028516
|
| 1201 |
+
global_step = 17199
|
| 1202 |
+
loss = 0.2762108766161376
|
| 1203 |
+
mcc = 0.5348763506104023
|
| 1204 |
+
rep_loss = 0.0
|
| 1205 |
+
att_loss = 0.0
|
| 1206 |
+
cls_loss = 0.2761994298718857
|
| 1207 |
+
eval_loss = 0.45431061856674426
|
| 1208 |
+
global_step = 17299
|
| 1209 |
+
loss = 0.2761994298718857
|
| 1210 |
+
mcc = 0.5395175517784774
|
| 1211 |
+
rep_loss = 0.0
|
| 1212 |
+
att_loss = 0.0
|
| 1213 |
+
cls_loss = 0.27617793641214444
|
| 1214 |
+
eval_loss = 0.4537888720180049
|
| 1215 |
+
global_step = 17399
|
| 1216 |
+
loss = 0.27617793641214444
|
| 1217 |
+
mcc = 0.5290221303314049
|
| 1218 |
+
rep_loss = 0.0
|
| 1219 |
+
att_loss = 0.0
|
| 1220 |
+
cls_loss = 0.2761897478580309
|
| 1221 |
+
eval_loss = 0.45442140915177087
|
| 1222 |
+
global_step = 17499
|
| 1223 |
+
loss = 0.2761897478580309
|
| 1224 |
+
mcc = 0.5276346700087589
|
| 1225 |
+
rep_loss = 0.0
|
| 1226 |
+
att_loss = 0.0
|
| 1227 |
+
cls_loss = 0.2761933956625619
|
| 1228 |
+
eval_loss = 0.4552511428341721
|
| 1229 |
+
global_step = 17599
|
| 1230 |
+
loss = 0.2761933956625619
|
| 1231 |
+
mcc = 0.5223414189412047
|
| 1232 |
+
rep_loss = 0.0
|
| 1233 |
+
att_loss = 0.0
|
| 1234 |
+
cls_loss = 0.27616957312850104
|
| 1235 |
+
eval_loss = 0.453849631728548
|
| 1236 |
+
global_step = 17699
|
| 1237 |
+
loss = 0.27616957312850104
|
| 1238 |
+
mcc = 0.5394751143865678
|
| 1239 |
+
rep_loss = 0.0
|
| 1240 |
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att_loss = 0.0
|
| 1241 |
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cls_loss = 0.2761757420592154
|
| 1242 |
+
eval_loss = 0.45676823276461975
|
| 1243 |
+
global_step = 17799
|
| 1244 |
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loss = 0.2761757420592154
|
| 1245 |
+
mcc = 0.5263771879747187
|
| 1246 |
+
rep_loss = 0.0
|
| 1247 |
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att_loss = 0.0
|
| 1248 |
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cls_loss = 0.2761607745487894
|
| 1249 |
+
eval_loss = 0.4525405850374337
|
| 1250 |
+
global_step = 17899
|
| 1251 |
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loss = 0.2761607745487894
|
| 1252 |
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mcc = 0.5249677896757049
|
| 1253 |
+
rep_loss = 0.0
|
| 1254 |
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att_loss = 0.0
|
| 1255 |
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cls_loss = 0.2761404152210499
|
| 1256 |
+
eval_loss = 0.4527777406302365
|
| 1257 |
+
global_step = 17999
|
| 1258 |
+
loss = 0.2761404152210499
|
| 1259 |
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mcc = 0.5302530461642105
|
| 1260 |
+
rep_loss = 0.0
|
| 1261 |
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att_loss = 0.0
|
| 1262 |
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cls_loss = 0.2761837591353199
|
| 1263 |
+
eval_loss = 0.4547244626464266
|
| 1264 |
+
global_step = 18099
|
| 1265 |
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loss = 0.2761837591353199
|
| 1266 |
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mcc = 0.5315672216228357
|
| 1267 |
+
rep_loss = 0.0
|
| 1268 |
+
att_loss = 0.0
|
| 1269 |
+
cls_loss = 0.27617460252472825
|
| 1270 |
+
eval_loss = 0.45115146040916443
|
| 1271 |
+
global_step = 18199
|
| 1272 |
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loss = 0.27617460252472825
|
| 1273 |
+
mcc = 0.5263343763638897
|
| 1274 |
+
rep_loss = 0.0
|
| 1275 |
+
att_loss = 0.0
|
| 1276 |
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cls_loss = 0.2761623841555624
|
| 1277 |
+
eval_loss = 0.45427156668720825
|
| 1278 |
+
global_step = 18299
|
| 1279 |
+
loss = 0.2761623841555624
|
| 1280 |
+
mcc = 0.5350117423563097
|
| 1281 |
+
rep_loss = 0.0
|
| 1282 |
+
att_loss = 0.0
|
| 1283 |
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cls_loss = 0.2761950084643163
|
| 1284 |
+
eval_loss = 0.454286765871626
|
| 1285 |
+
global_step = 18399
|
| 1286 |
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loss = 0.2761950084643163
|
| 1287 |
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mcc = 0.5355562155372715
|
| 1288 |
+
rep_loss = 0.0
|
| 1289 |
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att_loss = 0.0
|
| 1290 |
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cls_loss = 0.2761831375182427
|
| 1291 |
+
eval_loss = 0.45068027395190613
|
| 1292 |
+
global_step = 18499
|
| 1293 |
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loss = 0.2761831375182427
|
| 1294 |
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mcc = 0.5408255169384978
|
| 1295 |
+
rep_loss = 0.0
|
| 1296 |
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att_loss = 0.0
|
| 1297 |
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cls_loss = 0.27621336098099886
|
| 1298 |
+
eval_loss = 0.4529677299839078
|
| 1299 |
+
global_step = 18599
|
| 1300 |
+
loss = 0.27621336098099886
|
| 1301 |
+
mcc = 0.5394751143865678
|
| 1302 |
+
rep_loss = 0.0
|
| 1303 |
+
att_loss = 0.0
|
| 1304 |
+
cls_loss = 0.2762250059917718
|
| 1305 |
+
eval_loss = 0.45488957564036053
|
| 1306 |
+
global_step = 18699
|
| 1307 |
+
loss = 0.2762250059917718
|
| 1308 |
+
mcc = 0.538880877181237
|
| 1309 |
+
rep_loss = 0.0
|
| 1310 |
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att_loss = 0.0
|
| 1311 |
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cls_loss = 0.27622369788806267
|
| 1312 |
+
eval_loss = 0.4533221423625946
|
| 1313 |
+
global_step = 18799
|
| 1314 |
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loss = 0.27622369788806267
|
| 1315 |
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mcc = 0.540145729318548
|
| 1316 |
+
rep_loss = 0.0
|
| 1317 |
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att_loss = 0.0
|
| 1318 |
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cls_loss = 0.27624025213194303
|
| 1319 |
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eval_loss = 0.4541215788234364
|
| 1320 |
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global_step = 18899
|
| 1321 |
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loss = 0.27624025213194303
|
| 1322 |
+
mcc = 0.542106330857015
|
| 1323 |
+
rep_loss = 0.0
|
| 1324 |
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att_loss = 0.0
|
| 1325 |
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cls_loss = 0.27623185721131605
|
| 1326 |
+
eval_loss = 0.45452457576087024
|
| 1327 |
+
global_step = 18999
|
| 1328 |
+
loss = 0.27623185721131605
|
| 1329 |
+
mcc = 0.540145729318548
|
| 1330 |
+
rep_loss = 0.0
|
| 1331 |
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att_loss = 0.0
|
| 1332 |
+
cls_loss = 0.27624673165732744
|
| 1333 |
+
eval_loss = 0.454106766166109
|
| 1334 |
+
global_step = 19099
|
| 1335 |
+
loss = 0.27624673165732744
|
| 1336 |
+
mcc = 0.5375122094090742
|
| 1337 |
+
rep_loss = 0.0
|
| 1338 |
+
att_loss = 0.0
|
| 1339 |
+
cls_loss = 0.27626025659864606
|
| 1340 |
+
eval_loss = 0.453075953505256
|
| 1341 |
+
global_step = 19199
|
| 1342 |
+
loss = 0.27626025659864606
|
| 1343 |
+
mcc = 0.5342056019086159
|
| 1344 |
+
rep_loss = 0.0
|
| 1345 |
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att_loss = 0.0
|
| 1346 |
+
cls_loss = 0.27623782110674755
|
| 1347 |
+
eval_loss = 0.453053484360377
|
| 1348 |
+
global_step = 19299
|
| 1349 |
+
loss = 0.27623782110674755
|
| 1350 |
+
mcc = 0.5335440534839315
|
| 1351 |
+
rep_loss = 0.0
|
| 1352 |
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att_loss = 0.0
|
| 1353 |
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cls_loss = 0.27621929033364356
|
| 1354 |
+
eval_loss = 0.45425386320460925
|
| 1355 |
+
global_step = 19399
|
| 1356 |
+
loss = 0.27621929033364356
|
| 1357 |
+
mcc = 0.540145729318548
|
| 1358 |
+
rep_loss = 0.0
|
| 1359 |
+
att_loss = 0.0
|
| 1360 |
+
cls_loss = 0.2762047120405842
|
| 1361 |
+
eval_loss = 0.4529296936410846
|
| 1362 |
+
global_step = 19499
|
| 1363 |
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loss = 0.2762047120405842
|
| 1364 |
+
mcc = 0.5368415520595031
|
| 1365 |
+
rep_loss = 0.0
|
| 1366 |
+
att_loss = 0.0
|
| 1367 |
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cls_loss = 0.27618440176101794
|
| 1368 |
+
eval_loss = 0.45266035424940515
|
| 1369 |
+
global_step = 19599
|
| 1370 |
+
loss = 0.27618440176101794
|
| 1371 |
+
mcc = 0.5368415520595031
|
| 1372 |
+
rep_loss = 0.0
|
| 1373 |
+
att_loss = 0.0
|
| 1374 |
+
cls_loss = 0.27617881076093054
|
| 1375 |
+
eval_loss = 0.4528392625577522
|
| 1376 |
+
global_step = 19699
|
| 1377 |
+
loss = 0.27617881076093054
|
| 1378 |
+
mcc = 0.5368415520595031
|
| 1379 |
+
rep_loss = 0.0
|
pytorch_model.bin
ADDED
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:ffc37fbbb654c9ae257be69362d40fb94e7e28ecbcd7847abc2dd6fe1c322cf7
|
| 3 |
+
size 270223951
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vocab.txt
ADDED
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