Upload folder using huggingface_hub
Browse files- config.json +29 -0
- eval_results.txt +1379 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
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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"emb_size": 312,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 312,
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"initializer_range": 0.02,
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"intermediate_size": 1200,
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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": 4,
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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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@@ -0,0 +1,1379 @@
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|
| 1 |
+
att_loss = 0.0
|
| 2 |
+
cls_loss = 0.34237186716060447
|
| 3 |
+
eval_loss = 0.6603382482673182
|
| 4 |
+
global_step = 99
|
| 5 |
+
loss = 0.34237186716060447
|
| 6 |
+
mcc = 0.3702633409778515
|
| 7 |
+
rep_loss = 0.0
|
| 8 |
+
att_loss = 0.0
|
| 9 |
+
cls_loss = 0.33177106344520146
|
| 10 |
+
eval_loss = 0.5872409325657468
|
| 11 |
+
global_step = 199
|
| 12 |
+
loss = 0.33177106344520146
|
| 13 |
+
mcc = 0.3709803389600345
|
| 14 |
+
rep_loss = 0.0
|
| 15 |
+
att_loss = 0.0
|
| 16 |
+
cls_loss = 0.3205442242199761
|
| 17 |
+
eval_loss = 0.5501694516702131
|
| 18 |
+
global_step = 299
|
| 19 |
+
loss = 0.3205442242199761
|
| 20 |
+
mcc = 0.3632136143179997
|
| 21 |
+
rep_loss = 0.0
|
| 22 |
+
att_loss = 0.0
|
| 23 |
+
cls_loss = 0.3123153758078888
|
| 24 |
+
eval_loss = 0.53216142726667
|
| 25 |
+
global_step = 399
|
| 26 |
+
loss = 0.3123153758078888
|
| 27 |
+
mcc = 0.37663386957262124
|
| 28 |
+
rep_loss = 0.0
|
| 29 |
+
att_loss = 0.0
|
| 30 |
+
cls_loss = 0.30697973977348847
|
| 31 |
+
eval_loss = 0.5267899740826
|
| 32 |
+
global_step = 499
|
| 33 |
+
loss = 0.30697973977348847
|
| 34 |
+
mcc = 0.3892560665897791
|
| 35 |
+
rep_loss = 0.0
|
| 36 |
+
att_loss = 0.0
|
| 37 |
+
cls_loss = 0.30355875838380025
|
| 38 |
+
eval_loss = 0.5238304472330845
|
| 39 |
+
global_step = 599
|
| 40 |
+
loss = 0.30355875838380025
|
| 41 |
+
mcc = 0.3877546380385484
|
| 42 |
+
rep_loss = 0.0
|
| 43 |
+
att_loss = 0.0
|
| 44 |
+
cls_loss = 0.30093799652971426
|
| 45 |
+
eval_loss = 0.5212509063157168
|
| 46 |
+
global_step = 699
|
| 47 |
+
loss = 0.30093799652971426
|
| 48 |
+
mcc = 0.38221460495175935
|
| 49 |
+
rep_loss = 0.0
|
| 50 |
+
att_loss = 0.0
|
| 51 |
+
cls_loss = 0.298923846292257
|
| 52 |
+
eval_loss = 0.5149777947050153
|
| 53 |
+
global_step = 799
|
| 54 |
+
loss = 0.298923846292257
|
| 55 |
+
mcc = 0.38899362002004945
|
| 56 |
+
rep_loss = 0.0
|
| 57 |
+
att_loss = 0.0
|
| 58 |
+
cls_loss = 0.29705169435602935
|
| 59 |
+
eval_loss = 0.5193736670595227
|
| 60 |
+
global_step = 899
|
| 61 |
+
loss = 0.29705169435602935
|
| 62 |
+
mcc = 0.39097174554766484
|
| 63 |
+
rep_loss = 0.0
|
| 64 |
+
att_loss = 0.0
|
| 65 |
+
cls_loss = 0.29570507263397433
|
| 66 |
+
eval_loss = 0.5197603810917247
|
| 67 |
+
global_step = 999
|
| 68 |
+
loss = 0.29570507263397433
|
| 69 |
+
mcc = 0.37330557017038596
|
| 70 |
+
rep_loss = 0.0
|
| 71 |
+
att_loss = 0.0
|
| 72 |
+
cls_loss = 0.29460890394541434
|
| 73 |
+
eval_loss = 0.5279499075629495
|
| 74 |
+
global_step = 1099
|
| 75 |
+
loss = 0.29460890394541434
|
| 76 |
+
mcc = 0.37165225479127123
|
| 77 |
+
rep_loss = 0.0
|
| 78 |
+
att_loss = 0.0
|
| 79 |
+
cls_loss = 0.29367289988571055
|
| 80 |
+
eval_loss = 0.5174163525754755
|
| 81 |
+
global_step = 1199
|
| 82 |
+
loss = 0.29367289988571055
|
| 83 |
+
mcc = 0.37827883919891614
|
| 84 |
+
rep_loss = 0.0
|
| 85 |
+
att_loss = 0.0
|
| 86 |
+
cls_loss = 0.2929169338101878
|
| 87 |
+
eval_loss = 0.5223202154491887
|
| 88 |
+
global_step = 1299
|
| 89 |
+
loss = 0.2929169338101878
|
| 90 |
+
mcc = 0.37061285503044555
|
| 91 |
+
rep_loss = 0.0
|
| 92 |
+
att_loss = 0.0
|
| 93 |
+
cls_loss = 0.2922824918371682
|
| 94 |
+
eval_loss = 0.5192791611859293
|
| 95 |
+
global_step = 1399
|
| 96 |
+
loss = 0.2922824918371682
|
| 97 |
+
mcc = 0.3840054310253403
|
| 98 |
+
rep_loss = 0.0
|
| 99 |
+
att_loss = 0.0
|
| 100 |
+
cls_loss = 0.2917452016180559
|
| 101 |
+
eval_loss = 0.5148796357891776
|
| 102 |
+
global_step = 1499
|
| 103 |
+
loss = 0.2917452016180559
|
| 104 |
+
mcc = 0.38833086918437604
|
| 105 |
+
rep_loss = 0.0
|
| 106 |
+
att_loss = 0.0
|
| 107 |
+
cls_loss = 0.29132951364582815
|
| 108 |
+
eval_loss = 0.5153409513560209
|
| 109 |
+
global_step = 1599
|
| 110 |
+
loss = 0.29132951364582815
|
| 111 |
+
mcc = 0.41927013804892227
|
| 112 |
+
rep_loss = 0.0
|
| 113 |
+
att_loss = 0.0
|
| 114 |
+
cls_loss = 0.2909143878264312
|
| 115 |
+
eval_loss = 0.5176202645807555
|
| 116 |
+
global_step = 1699
|
| 117 |
+
loss = 0.2909143878264312
|
| 118 |
+
mcc = 0.39895365254134896
|
| 119 |
+
rep_loss = 0.0
|
| 120 |
+
att_loss = 0.0
|
| 121 |
+
cls_loss = 0.29057640186808653
|
| 122 |
+
eval_loss = 0.519390397902691
|
| 123 |
+
global_step = 1799
|
| 124 |
+
loss = 0.29057640186808653
|
| 125 |
+
mcc = 0.3840013666665939
|
| 126 |
+
rep_loss = 0.0
|
| 127 |
+
att_loss = 0.0
|
| 128 |
+
cls_loss = 0.290319570432907
|
| 129 |
+
eval_loss = 0.5133328392650142
|
| 130 |
+
global_step = 1899
|
| 131 |
+
loss = 0.290319570432907
|
| 132 |
+
mcc = 0.4069899871395845
|
| 133 |
+
rep_loss = 0.0
|
| 134 |
+
att_loss = 0.0
|
| 135 |
+
cls_loss = 0.2900308165000402
|
| 136 |
+
eval_loss = 0.5166239133386901
|
| 137 |
+
global_step = 1999
|
| 138 |
+
loss = 0.2900308165000402
|
| 139 |
+
mcc = 0.3819485378858301
|
| 140 |
+
rep_loss = 0.0
|
| 141 |
+
att_loss = 0.0
|
| 142 |
+
cls_loss = 0.28977794074171664
|
| 143 |
+
eval_loss = 0.5148214986830046
|
| 144 |
+
global_step = 2099
|
| 145 |
+
loss = 0.28977794074171664
|
| 146 |
+
mcc = 0.40458001224586415
|
| 147 |
+
rep_loss = 0.0
|
| 148 |
+
att_loss = 0.0
|
| 149 |
+
cls_loss = 0.28947624005800815
|
| 150 |
+
eval_loss = 0.514714679031661
|
| 151 |
+
global_step = 2199
|
| 152 |
+
loss = 0.28947624005800815
|
| 153 |
+
mcc = 0.4026106243439989
|
| 154 |
+
rep_loss = 0.0
|
| 155 |
+
att_loss = 0.0
|
| 156 |
+
cls_loss = 0.28915125764857796
|
| 157 |
+
eval_loss = 0.5223394650401492
|
| 158 |
+
global_step = 2299
|
| 159 |
+
loss = 0.28915125764857796
|
| 160 |
+
mcc = 0.39895365254134896
|
| 161 |
+
rep_loss = 0.0
|
| 162 |
+
att_loss = 0.0
|
| 163 |
+
cls_loss = 0.28900953685059655
|
| 164 |
+
eval_loss = 0.5247616054433765
|
| 165 |
+
global_step = 2399
|
| 166 |
+
loss = 0.28900953685059655
|
| 167 |
+
mcc = 0.38731511142125435
|
| 168 |
+
rep_loss = 0.0
|
| 169 |
+
att_loss = 0.0
|
| 170 |
+
cls_loss = 0.28884948732233756
|
| 171 |
+
eval_loss = 0.525927048740965
|
| 172 |
+
global_step = 2499
|
| 173 |
+
loss = 0.28884948732233756
|
| 174 |
+
mcc = 0.3804125081494791
|
| 175 |
+
rep_loss = 0.0
|
| 176 |
+
att_loss = 0.0
|
| 177 |
+
cls_loss = 0.28874072126353323
|
| 178 |
+
eval_loss = 0.5305289842865684
|
| 179 |
+
global_step = 2599
|
| 180 |
+
loss = 0.28874072126353323
|
| 181 |
+
mcc = 0.36894282240349613
|
| 182 |
+
rep_loss = 0.0
|
| 183 |
+
att_loss = 0.0
|
| 184 |
+
cls_loss = 0.2885687179192652
|
| 185 |
+
eval_loss = 0.5217124169523065
|
| 186 |
+
global_step = 2699
|
| 187 |
+
loss = 0.2885687179192652
|
| 188 |
+
mcc = 0.35918776049405
|
| 189 |
+
rep_loss = 0.0
|
| 190 |
+
att_loss = 0.0
|
| 191 |
+
cls_loss = 0.2884783570299663
|
| 192 |
+
eval_loss = 0.5284617434848439
|
| 193 |
+
global_step = 2799
|
| 194 |
+
loss = 0.2884783570299663
|
| 195 |
+
mcc = 0.3803392011836776
|
| 196 |
+
rep_loss = 0.0
|
| 197 |
+
att_loss = 0.0
|
| 198 |
+
cls_loss = 0.2883057665027146
|
| 199 |
+
eval_loss = 0.5248655911647913
|
| 200 |
+
global_step = 2899
|
| 201 |
+
loss = 0.2883057665027146
|
| 202 |
+
mcc = 0.36407735181256773
|
| 203 |
+
rep_loss = 0.0
|
| 204 |
+
att_loss = 0.0
|
| 205 |
+
cls_loss = 0.2881783898839079
|
| 206 |
+
eval_loss = 0.5342400931950771
|
| 207 |
+
global_step = 2999
|
| 208 |
+
loss = 0.2881783898839079
|
| 209 |
+
mcc = 0.39097174554766484
|
| 210 |
+
rep_loss = 0.0
|
| 211 |
+
att_loss = 0.0
|
| 212 |
+
cls_loss = 0.2880394740685912
|
| 213 |
+
eval_loss = 0.5215818358190132
|
| 214 |
+
global_step = 3099
|
| 215 |
+
loss = 0.2880394740685912
|
| 216 |
+
mcc = 0.3804125081494791
|
| 217 |
+
rep_loss = 0.0
|
| 218 |
+
att_loss = 0.0
|
| 219 |
+
cls_loss = 0.28794247894389213
|
| 220 |
+
eval_loss = 0.5263493223623796
|
| 221 |
+
global_step = 3199
|
| 222 |
+
loss = 0.28794247894389213
|
| 223 |
+
mcc = 0.39780520460046437
|
| 224 |
+
rep_loss = 0.0
|
| 225 |
+
att_loss = 0.0
|
| 226 |
+
cls_loss = 0.2878018494906589
|
| 227 |
+
eval_loss = 0.5152009563012556
|
| 228 |
+
global_step = 3299
|
| 229 |
+
loss = 0.2878018494906589
|
| 230 |
+
mcc = 0.3732051470850359
|
| 231 |
+
rep_loss = 0.0
|
| 232 |
+
att_loss = 0.0
|
| 233 |
+
cls_loss = 0.2876835728426406
|
| 234 |
+
eval_loss = 0.5174267815821099
|
| 235 |
+
global_step = 3399
|
| 236 |
+
loss = 0.2876835728426406
|
| 237 |
+
mcc = 0.3820632828805051
|
| 238 |
+
rep_loss = 0.0
|
| 239 |
+
att_loss = 0.0
|
| 240 |
+
cls_loss = 0.28756312976550563
|
| 241 |
+
eval_loss = 0.5152028862274054
|
| 242 |
+
global_step = 3499
|
| 243 |
+
loss = 0.28756312976550563
|
| 244 |
+
mcc = 0.39327627939877535
|
| 245 |
+
rep_loss = 0.0
|
| 246 |
+
att_loss = 0.0
|
| 247 |
+
cls_loss = 0.2874426774206543
|
| 248 |
+
eval_loss = 0.5117849030277946
|
| 249 |
+
global_step = 3599
|
| 250 |
+
loss = 0.2874426774206543
|
| 251 |
+
mcc = 0.3762322221434117
|
| 252 |
+
rep_loss = 0.0
|
| 253 |
+
att_loss = 0.0
|
| 254 |
+
cls_loss = 0.28736593537425376
|
| 255 |
+
eval_loss = 0.5194391743703322
|
| 256 |
+
global_step = 3699
|
| 257 |
+
loss = 0.28736593537425376
|
| 258 |
+
mcc = 0.37637355975877906
|
| 259 |
+
rep_loss = 0.0
|
| 260 |
+
att_loss = 0.0
|
| 261 |
+
cls_loss = 0.2872757521914193
|
| 262 |
+
eval_loss = 0.5270495496012948
|
| 263 |
+
global_step = 3799
|
| 264 |
+
loss = 0.2872757521914193
|
| 265 |
+
mcc = 0.39438996614158506
|
| 266 |
+
rep_loss = 0.0
|
| 267 |
+
att_loss = 0.0
|
| 268 |
+
cls_loss = 0.28718765729679513
|
| 269 |
+
eval_loss = 0.520123277649735
|
| 270 |
+
global_step = 3899
|
| 271 |
+
loss = 0.28718765729679513
|
| 272 |
+
mcc = 0.37177416903895627
|
| 273 |
+
rep_loss = 0.0
|
| 274 |
+
att_loss = 0.0
|
| 275 |
+
cls_loss = 0.2871156335510472
|
| 276 |
+
eval_loss = 0.5226057451782804
|
| 277 |
+
global_step = 3999
|
| 278 |
+
loss = 0.2871156335510472
|
| 279 |
+
mcc = 0.37302602457804274
|
| 280 |
+
rep_loss = 0.0
|
| 281 |
+
att_loss = 0.0
|
| 282 |
+
cls_loss = 0.28708139837340746
|
| 283 |
+
eval_loss = 0.5150534474488461
|
| 284 |
+
global_step = 4099
|
| 285 |
+
loss = 0.28708139837340746
|
| 286 |
+
mcc = 0.4011346232727083
|
| 287 |
+
rep_loss = 0.0
|
| 288 |
+
att_loss = 0.0
|
| 289 |
+
cls_loss = 0.28702193186677166
|
| 290 |
+
eval_loss = 0.5152694862900358
|
| 291 |
+
global_step = 4199
|
| 292 |
+
loss = 0.28702193186677166
|
| 293 |
+
mcc = 0.39611025073017425
|
| 294 |
+
rep_loss = 0.0
|
| 295 |
+
att_loss = 0.0
|
| 296 |
+
cls_loss = 0.28695012972185185
|
| 297 |
+
eval_loss = 0.521484088717085
|
| 298 |
+
global_step = 4299
|
| 299 |
+
loss = 0.28695012972185185
|
| 300 |
+
mcc = 0.38228296898092495
|
| 301 |
+
rep_loss = 0.0
|
| 302 |
+
att_loss = 0.0
|
| 303 |
+
cls_loss = 0.28689421526367864
|
| 304 |
+
eval_loss = 0.5239615097190394
|
| 305 |
+
global_step = 4399
|
| 306 |
+
loss = 0.28689421526367864
|
| 307 |
+
mcc = 0.3923138769373063
|
| 308 |
+
rep_loss = 0.0
|
| 309 |
+
att_loss = 0.0
|
| 310 |
+
cls_loss = 0.2868007770026358
|
| 311 |
+
eval_loss = 0.5138817682410731
|
| 312 |
+
global_step = 4499
|
| 313 |
+
loss = 0.2868007770026358
|
| 314 |
+
mcc = 0.3908602459650061
|
| 315 |
+
rep_loss = 0.0
|
| 316 |
+
att_loss = 0.0
|
| 317 |
+
cls_loss = 0.2867444366424025
|
| 318 |
+
eval_loss = 0.5129947833942644
|
| 319 |
+
global_step = 4599
|
| 320 |
+
loss = 0.2867444366424025
|
| 321 |
+
mcc = 0.39884193907512194
|
| 322 |
+
rep_loss = 0.0
|
| 323 |
+
att_loss = 0.0
|
| 324 |
+
cls_loss = 0.2866564529814551
|
| 325 |
+
eval_loss = 0.5101995305581526
|
| 326 |
+
global_step = 4699
|
| 327 |
+
loss = 0.2866564529814551
|
| 328 |
+
mcc = 0.403167099827574
|
| 329 |
+
rep_loss = 0.0
|
| 330 |
+
att_loss = 0.0
|
| 331 |
+
cls_loss = 0.2866204083307407
|
| 332 |
+
eval_loss = 0.5110881166024641
|
| 333 |
+
global_step = 4799
|
| 334 |
+
loss = 0.2866204083307407
|
| 335 |
+
mcc = 0.3932731321067742
|
| 336 |
+
rep_loss = 0.0
|
| 337 |
+
att_loss = 0.0
|
| 338 |
+
cls_loss = 0.28653837713046226
|
| 339 |
+
eval_loss = 0.5160060732653646
|
| 340 |
+
global_step = 4899
|
| 341 |
+
loss = 0.28653837713046226
|
| 342 |
+
mcc = 0.3791514250884126
|
| 343 |
+
rep_loss = 0.0
|
| 344 |
+
att_loss = 0.0
|
| 345 |
+
cls_loss = 0.2864541731630237
|
| 346 |
+
eval_loss = 0.5124918773318782
|
| 347 |
+
global_step = 4999
|
| 348 |
+
loss = 0.2864541731630237
|
| 349 |
+
mcc = 0.3890347057339363
|
| 350 |
+
rep_loss = 0.0
|
| 351 |
+
att_loss = 0.0
|
| 352 |
+
cls_loss = 0.28638665469856117
|
| 353 |
+
eval_loss = 0.5217192778081605
|
| 354 |
+
global_step = 5099
|
| 355 |
+
loss = 0.28638665469856117
|
| 356 |
+
mcc = 0.3937806133722603
|
| 357 |
+
rep_loss = 0.0
|
| 358 |
+
att_loss = 0.0
|
| 359 |
+
cls_loss = 0.2863042280092265
|
| 360 |
+
eval_loss = 0.5213332573572794
|
| 361 |
+
global_step = 5199
|
| 362 |
+
loss = 0.2863042280092265
|
| 363 |
+
mcc = 0.38568778619879135
|
| 364 |
+
rep_loss = 0.0
|
| 365 |
+
att_loss = 0.0
|
| 366 |
+
cls_loss = 0.28625702371764217
|
| 367 |
+
eval_loss = 0.5238886927113389
|
| 368 |
+
global_step = 5299
|
| 369 |
+
loss = 0.28625702371764217
|
| 370 |
+
mcc = 0.3885215735722988
|
| 371 |
+
rep_loss = 0.0
|
| 372 |
+
att_loss = 0.0
|
| 373 |
+
cls_loss = 0.28616623083106413
|
| 374 |
+
eval_loss = 0.5150826492092826
|
| 375 |
+
global_step = 5399
|
| 376 |
+
loss = 0.28616623083106413
|
| 377 |
+
mcc = 0.39777291234124745
|
| 378 |
+
rep_loss = 0.0
|
| 379 |
+
att_loss = 0.0
|
| 380 |
+
cls_loss = 0.2861386102331749
|
| 381 |
+
eval_loss = 0.5174173974629604
|
| 382 |
+
global_step = 5499
|
| 383 |
+
loss = 0.2861386102331749
|
| 384 |
+
mcc = 0.38284510021837986
|
| 385 |
+
rep_loss = 0.0
|
| 386 |
+
att_loss = 0.0
|
| 387 |
+
cls_loss = 0.2860565667658922
|
| 388 |
+
eval_loss = 0.520055275071751
|
| 389 |
+
global_step = 5599
|
| 390 |
+
loss = 0.2860565667658922
|
| 391 |
+
mcc = 0.3772922967514493
|
| 392 |
+
rep_loss = 0.0
|
| 393 |
+
att_loss = 0.0
|
| 394 |
+
cls_loss = 0.2860261079673705
|
| 395 |
+
eval_loss = 0.5164578006123052
|
| 396 |
+
global_step = 5699
|
| 397 |
+
loss = 0.2860261079673705
|
| 398 |
+
mcc = 0.39998008459631823
|
| 399 |
+
rep_loss = 0.0
|
| 400 |
+
att_loss = 0.0
|
| 401 |
+
cls_loss = 0.28596524872138884
|
| 402 |
+
eval_loss = 0.5099366253072565
|
| 403 |
+
global_step = 5799
|
| 404 |
+
loss = 0.28596524872138884
|
| 405 |
+
mcc = 0.4085876237775107
|
| 406 |
+
rep_loss = 0.0
|
| 407 |
+
att_loss = 0.0
|
| 408 |
+
cls_loss = 0.28592844469594964
|
| 409 |
+
eval_loss = 0.5119992882916422
|
| 410 |
+
global_step = 5899
|
| 411 |
+
loss = 0.28592844469594964
|
| 412 |
+
mcc = 0.40104837216246975
|
| 413 |
+
rep_loss = 0.0
|
| 414 |
+
att_loss = 0.0
|
| 415 |
+
cls_loss = 0.28590416652666645
|
| 416 |
+
eval_loss = 0.5151183000116637
|
| 417 |
+
global_step = 5999
|
| 418 |
+
loss = 0.28590416652666645
|
| 419 |
+
mcc = 0.37999701664002705
|
| 420 |
+
rep_loss = 0.0
|
| 421 |
+
att_loss = 0.0
|
| 422 |
+
cls_loss = 0.2858548017799278
|
| 423 |
+
eval_loss = 0.5153002630580555
|
| 424 |
+
global_step = 6099
|
| 425 |
+
loss = 0.2858548017799278
|
| 426 |
+
mcc = 0.3734647489671002
|
| 427 |
+
rep_loss = 0.0
|
| 428 |
+
att_loss = 0.0
|
| 429 |
+
cls_loss = 0.28581119698321633
|
| 430 |
+
eval_loss = 0.5087440140319593
|
| 431 |
+
global_step = 6199
|
| 432 |
+
loss = 0.28581119698321633
|
| 433 |
+
mcc = 0.41607779331757044
|
| 434 |
+
rep_loss = 0.0
|
| 435 |
+
att_loss = 0.0
|
| 436 |
+
cls_loss = 0.2857871880051938
|
| 437 |
+
eval_loss = 0.5130369663238525
|
| 438 |
+
global_step = 6299
|
| 439 |
+
loss = 0.2857871880051938
|
| 440 |
+
mcc = 0.40882970414693454
|
| 441 |
+
rep_loss = 0.0
|
| 442 |
+
att_loss = 0.0
|
| 443 |
+
cls_loss = 0.2857193908811193
|
| 444 |
+
eval_loss = 0.5108520045424952
|
| 445 |
+
global_step = 6399
|
| 446 |
+
loss = 0.2857193908811193
|
| 447 |
+
mcc = 0.3940079243628446
|
| 448 |
+
rep_loss = 0.0
|
| 449 |
+
att_loss = 0.0
|
| 450 |
+
cls_loss = 0.28568193774339623
|
| 451 |
+
eval_loss = 0.5132698967601313
|
| 452 |
+
global_step = 6499
|
| 453 |
+
loss = 0.28568193774339623
|
| 454 |
+
mcc = 0.38884978659993197
|
| 455 |
+
rep_loss = 0.0
|
| 456 |
+
att_loss = 0.0
|
| 457 |
+
cls_loss = 0.2834862545132637
|
| 458 |
+
eval_loss = 0.5128394329186642
|
| 459 |
+
global_step = 6599
|
| 460 |
+
loss = 0.2834862545132637
|
| 461 |
+
mcc = 0.3823808296094942
|
| 462 |
+
rep_loss = 0.0
|
| 463 |
+
att_loss = 0.0
|
| 464 |
+
cls_loss = 0.2813756861365758
|
| 465 |
+
eval_loss = 0.5069861809412638
|
| 466 |
+
global_step = 6699
|
| 467 |
+
loss = 0.2813756861365758
|
| 468 |
+
mcc = 0.4117922073135961
|
| 469 |
+
rep_loss = 0.0
|
| 470 |
+
att_loss = 0.0
|
| 471 |
+
cls_loss = 0.2816205664592631
|
| 472 |
+
eval_loss = 0.511738433079286
|
| 473 |
+
global_step = 6799
|
| 474 |
+
loss = 0.2816205664592631
|
| 475 |
+
mcc = 0.4172466675387621
|
| 476 |
+
rep_loss = 0.0
|
| 477 |
+
att_loss = 0.0
|
| 478 |
+
cls_loss = 0.28304927894159365
|
| 479 |
+
eval_loss = 0.5068024947787776
|
| 480 |
+
global_step = 6899
|
| 481 |
+
loss = 0.28304927894159365
|
| 482 |
+
mcc = 0.3996440630136365
|
| 483 |
+
rep_loss = 0.0
|
| 484 |
+
att_loss = 0.0
|
| 485 |
+
cls_loss = 0.2825837999139682
|
| 486 |
+
eval_loss = 0.5051217377185822
|
| 487 |
+
global_step = 6999
|
| 488 |
+
loss = 0.2825837999139682
|
| 489 |
+
mcc = 0.4033762891627765
|
| 490 |
+
rep_loss = 0.0
|
| 491 |
+
att_loss = 0.0
|
| 492 |
+
cls_loss = 0.28276582570776104
|
| 493 |
+
eval_loss = 0.5126414741530563
|
| 494 |
+
global_step = 7099
|
| 495 |
+
loss = 0.28276582570776104
|
| 496 |
+
mcc = 0.3803392011836776
|
| 497 |
+
rep_loss = 0.0
|
| 498 |
+
att_loss = 0.0
|
| 499 |
+
cls_loss = 0.28260714126541125
|
| 500 |
+
eval_loss = 0.5112863851316047
|
| 501 |
+
global_step = 7199
|
| 502 |
+
loss = 0.28260714126541125
|
| 503 |
+
mcc = 0.403167099827574
|
| 504 |
+
rep_loss = 0.0
|
| 505 |
+
att_loss = 0.0
|
| 506 |
+
cls_loss = 0.282591997730461
|
| 507 |
+
eval_loss = 0.5127082331614061
|
| 508 |
+
global_step = 7299
|
| 509 |
+
loss = 0.282591997730461
|
| 510 |
+
mcc = 0.4059864935947653
|
| 511 |
+
rep_loss = 0.0
|
| 512 |
+
att_loss = 0.0
|
| 513 |
+
cls_loss = 0.2825035277883805
|
| 514 |
+
eval_loss = 0.518345855402224
|
| 515 |
+
global_step = 7399
|
| 516 |
+
loss = 0.2825035277883805
|
| 517 |
+
mcc = 0.3830064003070546
|
| 518 |
+
rep_loss = 0.0
|
| 519 |
+
att_loss = 0.0
|
| 520 |
+
cls_loss = 0.2823299742839505
|
| 521 |
+
eval_loss = 0.5192047276280143
|
| 522 |
+
global_step = 7499
|
| 523 |
+
loss = 0.2823299742839505
|
| 524 |
+
mcc = 0.3766911998849963
|
| 525 |
+
rep_loss = 0.0
|
| 526 |
+
att_loss = 0.0
|
| 527 |
+
cls_loss = 0.28240299949133063
|
| 528 |
+
eval_loss = 0.5189248811114918
|
| 529 |
+
global_step = 7599
|
| 530 |
+
loss = 0.28240299949133063
|
| 531 |
+
mcc = 0.39211267993083676
|
| 532 |
+
rep_loss = 0.0
|
| 533 |
+
att_loss = 0.0
|
| 534 |
+
cls_loss = 0.2824035367078107
|
| 535 |
+
eval_loss = 0.5153183214592211
|
| 536 |
+
global_step = 7699
|
| 537 |
+
loss = 0.2824035367078107
|
| 538 |
+
mcc = 0.37999701664002705
|
| 539 |
+
rep_loss = 0.0
|
| 540 |
+
att_loss = 0.0
|
| 541 |
+
cls_loss = 0.2824633766794918
|
| 542 |
+
eval_loss = 0.5169419917193326
|
| 543 |
+
global_step = 7799
|
| 544 |
+
loss = 0.2824633766794918
|
| 545 |
+
mcc = 0.37588272219203145
|
| 546 |
+
rep_loss = 0.0
|
| 547 |
+
att_loss = 0.0
|
| 548 |
+
cls_loss = 0.28245345761348134
|
| 549 |
+
eval_loss = 0.5171206160025164
|
| 550 |
+
global_step = 7899
|
| 551 |
+
loss = 0.28245345761348134
|
| 552 |
+
mcc = 0.3985539058708339
|
| 553 |
+
rep_loss = 0.0
|
| 554 |
+
att_loss = 0.0
|
| 555 |
+
cls_loss = 0.2825832725038216
|
| 556 |
+
eval_loss = 0.5177997441002817
|
| 557 |
+
global_step = 7999
|
| 558 |
+
loss = 0.2825832725038216
|
| 559 |
+
mcc = 0.36977496722249587
|
| 560 |
+
rep_loss = 0.0
|
| 561 |
+
att_loss = 0.0
|
| 562 |
+
cls_loss = 0.28260926252349894
|
| 563 |
+
eval_loss = 0.512401100360986
|
| 564 |
+
global_step = 8099
|
| 565 |
+
loss = 0.28260926252349894
|
| 566 |
+
mcc = 0.3828545419719089
|
| 567 |
+
rep_loss = 0.0
|
| 568 |
+
att_loss = 0.0
|
| 569 |
+
cls_loss = 0.28256619950185097
|
| 570 |
+
eval_loss = 0.5159861039031636
|
| 571 |
+
global_step = 8199
|
| 572 |
+
loss = 0.28256619950185097
|
| 573 |
+
mcc = 0.37193451850694254
|
| 574 |
+
rep_loss = 0.0
|
| 575 |
+
att_loss = 0.0
|
| 576 |
+
cls_loss = 0.28252108295408773
|
| 577 |
+
eval_loss = 0.5178058842817942
|
| 578 |
+
global_step = 8299
|
| 579 |
+
loss = 0.28252108295408773
|
| 580 |
+
mcc = 0.3856835045289885
|
| 581 |
+
rep_loss = 0.0
|
| 582 |
+
att_loss = 0.0
|
| 583 |
+
cls_loss = 0.28255646062928136
|
| 584 |
+
eval_loss = 0.5111542118318153
|
| 585 |
+
global_step = 8399
|
| 586 |
+
loss = 0.28255646062928136
|
| 587 |
+
mcc = 0.39467643430011085
|
| 588 |
+
rep_loss = 0.0
|
| 589 |
+
att_loss = 0.0
|
| 590 |
+
cls_loss = 0.2826366017283011
|
| 591 |
+
eval_loss = 0.5156967594768062
|
| 592 |
+
global_step = 8499
|
| 593 |
+
loss = 0.2826366017283011
|
| 594 |
+
mcc = 0.38195214033316116
|
| 595 |
+
rep_loss = 0.0
|
| 596 |
+
att_loss = 0.0
|
| 597 |
+
cls_loss = 0.28264916480003954
|
| 598 |
+
eval_loss = 0.5102085489215273
|
| 599 |
+
global_step = 8599
|
| 600 |
+
loss = 0.28264916480003954
|
| 601 |
+
mcc = 0.372862717809245
|
| 602 |
+
rep_loss = 0.0
|
| 603 |
+
att_loss = 0.0
|
| 604 |
+
cls_loss = 0.28260060387022595
|
| 605 |
+
eval_loss = 0.5102424206155719
|
| 606 |
+
global_step = 8699
|
| 607 |
+
loss = 0.28260060387022595
|
| 608 |
+
mcc = 0.40131884995908
|
| 609 |
+
rep_loss = 0.0
|
| 610 |
+
att_loss = 0.0
|
| 611 |
+
cls_loss = 0.2826164152520538
|
| 612 |
+
eval_loss = 0.5126803761178796
|
| 613 |
+
global_step = 8799
|
| 614 |
+
loss = 0.2826164152520538
|
| 615 |
+
mcc = 0.4235041043063152
|
| 616 |
+
rep_loss = 0.0
|
| 617 |
+
att_loss = 0.0
|
| 618 |
+
cls_loss = 0.28259986309179413
|
| 619 |
+
eval_loss = 0.5098589604551141
|
| 620 |
+
global_step = 8899
|
| 621 |
+
loss = 0.28259986309179413
|
| 622 |
+
mcc = 0.38990471425985396
|
| 623 |
+
rep_loss = 0.0
|
| 624 |
+
att_loss = 0.0
|
| 625 |
+
cls_loss = 0.2825142649961589
|
| 626 |
+
eval_loss = 0.5173692351037805
|
| 627 |
+
global_step = 8999
|
| 628 |
+
loss = 0.2825142649961589
|
| 629 |
+
mcc = 0.3993849215588643
|
| 630 |
+
rep_loss = 0.0
|
| 631 |
+
att_loss = 0.0
|
| 632 |
+
cls_loss = 0.2825618349491788
|
| 633 |
+
eval_loss = 0.5122251212596893
|
| 634 |
+
global_step = 9099
|
| 635 |
+
loss = 0.2825618349491788
|
| 636 |
+
mcc = 0.3840054310253403
|
| 637 |
+
rep_loss = 0.0
|
| 638 |
+
att_loss = 0.0
|
| 639 |
+
cls_loss = 0.28256867571909855
|
| 640 |
+
eval_loss = 0.5147266279567372
|
| 641 |
+
global_step = 9199
|
| 642 |
+
loss = 0.28256867571909855
|
| 643 |
+
mcc = 0.3985466264666081
|
| 644 |
+
rep_loss = 0.0
|
| 645 |
+
att_loss = 0.0
|
| 646 |
+
cls_loss = 0.28260061660638225
|
| 647 |
+
eval_loss = 0.5119015773137411
|
| 648 |
+
global_step = 9299
|
| 649 |
+
loss = 0.28260061660638225
|
| 650 |
+
mcc = 0.4105276958910593
|
| 651 |
+
rep_loss = 0.0
|
| 652 |
+
att_loss = 0.0
|
| 653 |
+
cls_loss = 0.28252783535678105
|
| 654 |
+
eval_loss = 0.5079709806225516
|
| 655 |
+
global_step = 9399
|
| 656 |
+
loss = 0.28252783535678105
|
| 657 |
+
mcc = 0.40693605005193084
|
| 658 |
+
rep_loss = 0.0
|
| 659 |
+
att_loss = 0.0
|
| 660 |
+
cls_loss = 0.28249339924576194
|
| 661 |
+
eval_loss = 0.5125236321579326
|
| 662 |
+
global_step = 9499
|
| 663 |
+
loss = 0.28249339924576194
|
| 664 |
+
mcc = 0.4039478620313797
|
| 665 |
+
rep_loss = 0.0
|
| 666 |
+
att_loss = 0.0
|
| 667 |
+
cls_loss = 0.2824547092086783
|
| 668 |
+
eval_loss = 0.513409368016503
|
| 669 |
+
global_step = 9599
|
| 670 |
+
loss = 0.2824547092086783
|
| 671 |
+
mcc = 0.4021804836630887
|
| 672 |
+
rep_loss = 0.0
|
| 673 |
+
att_loss = 0.0
|
| 674 |
+
cls_loss = 0.2824284661388428
|
| 675 |
+
eval_loss = 0.5122987113215707
|
| 676 |
+
global_step = 9699
|
| 677 |
+
loss = 0.2824284661388428
|
| 678 |
+
mcc = 0.39213093547272937
|
| 679 |
+
rep_loss = 0.0
|
| 680 |
+
att_loss = 0.0
|
| 681 |
+
cls_loss = 0.28245821747738176
|
| 682 |
+
eval_loss = 0.5084807701183088
|
| 683 |
+
global_step = 9799
|
| 684 |
+
loss = 0.28245821747738176
|
| 685 |
+
mcc = 0.40739278931922274
|
| 686 |
+
rep_loss = 0.0
|
| 687 |
+
att_loss = 0.0
|
| 688 |
+
cls_loss = 0.2824419995738288
|
| 689 |
+
eval_loss = 0.5111486080921057
|
| 690 |
+
global_step = 9899
|
| 691 |
+
loss = 0.2824419995738288
|
| 692 |
+
mcc = 0.4172194430405653
|
| 693 |
+
rep_loss = 0.0
|
| 694 |
+
att_loss = 0.0
|
| 695 |
+
cls_loss = 0.2824013299460837
|
| 696 |
+
eval_loss = 0.5125659370061123
|
| 697 |
+
global_step = 9999
|
| 698 |
+
loss = 0.2824013299460837
|
| 699 |
+
mcc = 0.40544142666175087
|
| 700 |
+
rep_loss = 0.0
|
| 701 |
+
att_loss = 0.0
|
| 702 |
+
cls_loss = 0.2823612241491199
|
| 703 |
+
eval_loss = 0.5126088993115858
|
| 704 |
+
global_step = 10099
|
| 705 |
+
loss = 0.2823612241491199
|
| 706 |
+
mcc = 0.4138332826141097
|
| 707 |
+
rep_loss = 0.0
|
| 708 |
+
att_loss = 0.0
|
| 709 |
+
cls_loss = 0.28233784527314226
|
| 710 |
+
eval_loss = 0.5170806835998188
|
| 711 |
+
global_step = 10199
|
| 712 |
+
loss = 0.28233784527314226
|
| 713 |
+
mcc = 0.4052979142123112
|
| 714 |
+
rep_loss = 0.0
|
| 715 |
+
att_loss = 0.0
|
| 716 |
+
cls_loss = 0.2823012116371169
|
| 717 |
+
eval_loss = 0.5070072204777689
|
| 718 |
+
global_step = 10299
|
| 719 |
+
loss = 0.2823012116371169
|
| 720 |
+
mcc = 0.40891913355202136
|
| 721 |
+
rep_loss = 0.0
|
| 722 |
+
att_loss = 0.0
|
| 723 |
+
cls_loss = 0.282276837615498
|
| 724 |
+
eval_loss = 0.5102173388004303
|
| 725 |
+
global_step = 10399
|
| 726 |
+
loss = 0.282276837615498
|
| 727 |
+
mcc = 0.42573897932394733
|
| 728 |
+
rep_loss = 0.0
|
| 729 |
+
att_loss = 0.0
|
| 730 |
+
cls_loss = 0.28231605232433704
|
| 731 |
+
eval_loss = 0.5103865067164103
|
| 732 |
+
global_step = 10499
|
| 733 |
+
loss = 0.28231605232433704
|
| 734 |
+
mcc = 0.3965913923587624
|
| 735 |
+
rep_loss = 0.0
|
| 736 |
+
att_loss = 0.0
|
| 737 |
+
cls_loss = 0.28234525746875233
|
| 738 |
+
eval_loss = 0.5086130644335891
|
| 739 |
+
global_step = 10599
|
| 740 |
+
loss = 0.28234525746875233
|
| 741 |
+
mcc = 0.42386735506802997
|
| 742 |
+
rep_loss = 0.0
|
| 743 |
+
att_loss = 0.0
|
| 744 |
+
cls_loss = 0.28236741794102604
|
| 745 |
+
eval_loss = 0.5086397772485559
|
| 746 |
+
global_step = 10699
|
| 747 |
+
loss = 0.28236741794102604
|
| 748 |
+
mcc = 0.41021970767701216
|
| 749 |
+
rep_loss = 0.0
|
| 750 |
+
att_loss = 0.0
|
| 751 |
+
cls_loss = 0.2823447209174127
|
| 752 |
+
eval_loss = 0.5109247140812151
|
| 753 |
+
global_step = 10799
|
| 754 |
+
loss = 0.2823447209174127
|
| 755 |
+
mcc = 0.4033271983694075
|
| 756 |
+
rep_loss = 0.0
|
| 757 |
+
att_loss = 0.0
|
| 758 |
+
cls_loss = 0.28235380055874476
|
| 759 |
+
eval_loss = 0.5140562093619144
|
| 760 |
+
global_step = 10899
|
| 761 |
+
loss = 0.28235380055874476
|
| 762 |
+
mcc = 0.4061988397614615
|
| 763 |
+
rep_loss = 0.0
|
| 764 |
+
att_loss = 0.0
|
| 765 |
+
cls_loss = 0.2823390113384371
|
| 766 |
+
eval_loss = 0.51523285742962
|
| 767 |
+
global_step = 10999
|
| 768 |
+
loss = 0.2823390113384371
|
| 769 |
+
mcc = 0.3997736483943066
|
| 770 |
+
rep_loss = 0.0
|
| 771 |
+
att_loss = 0.0
|
| 772 |
+
cls_loss = 0.2823259284451842
|
| 773 |
+
eval_loss = 0.5107357989658009
|
| 774 |
+
global_step = 11099
|
| 775 |
+
loss = 0.2823259284451842
|
| 776 |
+
mcc = 0.39418417780027004
|
| 777 |
+
rep_loss = 0.0
|
| 778 |
+
att_loss = 0.0
|
| 779 |
+
cls_loss = 0.28235181783537155
|
| 780 |
+
eval_loss = 0.5102178933042468
|
| 781 |
+
global_step = 11199
|
| 782 |
+
loss = 0.28235181783537155
|
| 783 |
+
mcc = 0.40458001224586415
|
| 784 |
+
rep_loss = 0.0
|
| 785 |
+
att_loss = 0.0
|
| 786 |
+
cls_loss = 0.2823098915926859
|
| 787 |
+
eval_loss = 0.5139325694604353
|
| 788 |
+
global_step = 11299
|
| 789 |
+
loss = 0.2823098915926859
|
| 790 |
+
mcc = 0.39651505942154824
|
| 791 |
+
rep_loss = 0.0
|
| 792 |
+
att_loss = 0.0
|
| 793 |
+
cls_loss = 0.2822909285620686
|
| 794 |
+
eval_loss = 0.5153398152553674
|
| 795 |
+
global_step = 11399
|
| 796 |
+
loss = 0.2822909285620686
|
| 797 |
+
mcc = 0.40530962152270844
|
| 798 |
+
rep_loss = 0.0
|
| 799 |
+
att_loss = 0.0
|
| 800 |
+
cls_loss = 0.2822838319407785
|
| 801 |
+
eval_loss = 0.5070374842846033
|
| 802 |
+
global_step = 11499
|
| 803 |
+
loss = 0.2822838319407785
|
| 804 |
+
mcc = 0.3898302148823619
|
| 805 |
+
rep_loss = 0.0
|
| 806 |
+
att_loss = 0.0
|
| 807 |
+
cls_loss = 0.2822466105115499
|
| 808 |
+
eval_loss = 0.5146514863678904
|
| 809 |
+
global_step = 11599
|
| 810 |
+
loss = 0.2822466105115499
|
| 811 |
+
mcc = 0.40011410558622174
|
| 812 |
+
rep_loss = 0.0
|
| 813 |
+
att_loss = 0.0
|
| 814 |
+
cls_loss = 0.28226915594529023
|
| 815 |
+
eval_loss = 0.5120623545213179
|
| 816 |
+
global_step = 11699
|
| 817 |
+
loss = 0.28226915594529023
|
| 818 |
+
mcc = 0.41454694915421336
|
| 819 |
+
rep_loss = 0.0
|
| 820 |
+
att_loss = 0.0
|
| 821 |
+
cls_loss = 0.28228479942777907
|
| 822 |
+
eval_loss = 0.5130805644122037
|
| 823 |
+
global_step = 11799
|
| 824 |
+
loss = 0.28228479942777907
|
| 825 |
+
mcc = 0.42072451027133134
|
| 826 |
+
rep_loss = 0.0
|
| 827 |
+
att_loss = 0.0
|
| 828 |
+
cls_loss = 0.28232717272428004
|
| 829 |
+
eval_loss = 0.5160291429721948
|
| 830 |
+
global_step = 11899
|
| 831 |
+
loss = 0.28232717272428004
|
| 832 |
+
mcc = 0.40011410558622174
|
| 833 |
+
rep_loss = 0.0
|
| 834 |
+
att_loss = 0.0
|
| 835 |
+
cls_loss = 0.2823260606085257
|
| 836 |
+
eval_loss = 0.5159690497499524
|
| 837 |
+
global_step = 11999
|
| 838 |
+
loss = 0.2823260606085257
|
| 839 |
+
mcc = 0.37141964356869667
|
| 840 |
+
rep_loss = 0.0
|
| 841 |
+
att_loss = 0.0
|
| 842 |
+
cls_loss = 0.2822958163722137
|
| 843 |
+
eval_loss = 0.5140873636260177
|
| 844 |
+
global_step = 12099
|
| 845 |
+
loss = 0.2822958163722137
|
| 846 |
+
mcc = 0.38482081753749314
|
| 847 |
+
rep_loss = 0.0
|
| 848 |
+
att_loss = 0.0
|
| 849 |
+
cls_loss = 0.2822563194435124
|
| 850 |
+
eval_loss = 0.5150263435912855
|
| 851 |
+
global_step = 12199
|
| 852 |
+
loss = 0.2822563194435124
|
| 853 |
+
mcc = 0.3848259659055644
|
| 854 |
+
rep_loss = 0.0
|
| 855 |
+
att_loss = 0.0
|
| 856 |
+
cls_loss = 0.282232557991611
|
| 857 |
+
eval_loss = 0.5123935414083076
|
| 858 |
+
global_step = 12299
|
| 859 |
+
loss = 0.282232557991611
|
| 860 |
+
mcc = 0.3804125081494791
|
| 861 |
+
rep_loss = 0.0
|
| 862 |
+
att_loss = 0.0
|
| 863 |
+
cls_loss = 0.28227046379584597
|
| 864 |
+
eval_loss = 0.5180137825734688
|
| 865 |
+
global_step = 12399
|
| 866 |
+
loss = 0.28227046379584597
|
| 867 |
+
mcc = 0.38315821810772
|
| 868 |
+
rep_loss = 0.0
|
| 869 |
+
att_loss = 0.0
|
| 870 |
+
cls_loss = 0.28227142532807864
|
| 871 |
+
eval_loss = 0.513143314556642
|
| 872 |
+
global_step = 12499
|
| 873 |
+
loss = 0.28227142532807864
|
| 874 |
+
mcc = 0.4005864260531677
|
| 875 |
+
rep_loss = 0.0
|
| 876 |
+
att_loss = 0.0
|
| 877 |
+
cls_loss = 0.28223702150690483
|
| 878 |
+
eval_loss = 0.5165203602025004
|
| 879 |
+
global_step = 12599
|
| 880 |
+
loss = 0.28223702150690483
|
| 881 |
+
mcc = 0.3825175429116719
|
| 882 |
+
rep_loss = 0.0
|
| 883 |
+
att_loss = 0.0
|
| 884 |
+
cls_loss = 0.28226484132742663
|
| 885 |
+
eval_loss = 0.5177025307308544
|
| 886 |
+
global_step = 12699
|
| 887 |
+
loss = 0.28226484132742663
|
| 888 |
+
mcc = 0.38731511142125435
|
| 889 |
+
rep_loss = 0.0
|
| 890 |
+
att_loss = 0.0
|
| 891 |
+
cls_loss = 0.28226020199148827
|
| 892 |
+
eval_loss = 0.514326117255471
|
| 893 |
+
global_step = 12799
|
| 894 |
+
loss = 0.28226020199148827
|
| 895 |
+
mcc = 0.39651505942154824
|
| 896 |
+
rep_loss = 0.0
|
| 897 |
+
att_loss = 0.0
|
| 898 |
+
cls_loss = 0.282260316372069
|
| 899 |
+
eval_loss = 0.5084026528127266
|
| 900 |
+
global_step = 12899
|
| 901 |
+
loss = 0.282260316372069
|
| 902 |
+
mcc = 0.3811450767088426
|
| 903 |
+
rep_loss = 0.0
|
| 904 |
+
att_loss = 0.0
|
| 905 |
+
cls_loss = 0.2822655938672766
|
| 906 |
+
eval_loss = 0.5095312730832533
|
| 907 |
+
global_step = 12999
|
| 908 |
+
loss = 0.2822655938672766
|
| 909 |
+
mcc = 0.40196041858324394
|
| 910 |
+
rep_loss = 0.0
|
| 911 |
+
att_loss = 0.0
|
| 912 |
+
cls_loss = 0.2822442495780751
|
| 913 |
+
eval_loss = 0.507652967265158
|
| 914 |
+
global_step = 13099
|
| 915 |
+
loss = 0.2822442495780751
|
| 916 |
+
mcc = 0.39783782006586266
|
| 917 |
+
rep_loss = 0.0
|
| 918 |
+
att_loss = 0.0
|
| 919 |
+
cls_loss = 0.28048115968704224
|
| 920 |
+
eval_loss = 0.5102084703517683
|
| 921 |
+
global_step = 13199
|
| 922 |
+
loss = 0.28048115968704224
|
| 923 |
+
mcc = 0.4009077184297449
|
| 924 |
+
rep_loss = 0.0
|
| 925 |
+
att_loss = 0.0
|
| 926 |
+
cls_loss = 0.27984192830706955
|
| 927 |
+
eval_loss = 0.5112800101439158
|
| 928 |
+
global_step = 13299
|
| 929 |
+
loss = 0.27984192830706955
|
| 930 |
+
mcc = 0.40068606376889737
|
| 931 |
+
rep_loss = 0.0
|
| 932 |
+
att_loss = 0.0
|
| 933 |
+
cls_loss = 0.28055651535828147
|
| 934 |
+
eval_loss = 0.5063392763788049
|
| 935 |
+
global_step = 13399
|
| 936 |
+
loss = 0.28055651535828147
|
| 937 |
+
mcc = 0.3879849787696258
|
| 938 |
+
rep_loss = 0.0
|
| 939 |
+
att_loss = 0.0
|
| 940 |
+
cls_loss = 0.28020469887742716
|
| 941 |
+
eval_loss = 0.5110559472531984
|
| 942 |
+
global_step = 13499
|
| 943 |
+
loss = 0.28020469887742716
|
| 944 |
+
mcc = 0.4052979142123112
|
| 945 |
+
rep_loss = 0.0
|
| 946 |
+
att_loss = 0.0
|
| 947 |
+
cls_loss = 0.28019697829388757
|
| 948 |
+
eval_loss = 0.5113063084356713
|
| 949 |
+
global_step = 13599
|
| 950 |
+
loss = 0.28019697829388757
|
| 951 |
+
mcc = 0.4104477269329847
|
| 952 |
+
rep_loss = 0.0
|
| 953 |
+
att_loss = 0.0
|
| 954 |
+
cls_loss = 0.28015780241058474
|
| 955 |
+
eval_loss = 0.5131644308567047
|
| 956 |
+
global_step = 13699
|
| 957 |
+
loss = 0.28015780241058474
|
| 958 |
+
mcc = 0.39008612150299654
|
| 959 |
+
rep_loss = 0.0
|
| 960 |
+
att_loss = 0.0
|
| 961 |
+
cls_loss = 0.2801340272518606
|
| 962 |
+
eval_loss = 0.5113311644756433
|
| 963 |
+
global_step = 13799
|
| 964 |
+
loss = 0.2801340272518606
|
| 965 |
+
mcc = 0.40458001224586415
|
| 966 |
+
rep_loss = 0.0
|
| 967 |
+
att_loss = 0.0
|
| 968 |
+
cls_loss = 0.2801751655188871
|
| 969 |
+
eval_loss = 0.5139215471166553
|
| 970 |
+
global_step = 13899
|
| 971 |
+
loss = 0.2801751655188871
|
| 972 |
+
mcc = 0.39757371367888555
|
| 973 |
+
rep_loss = 0.0
|
| 974 |
+
att_loss = 0.0
|
| 975 |
+
cls_loss = 0.2803018170285726
|
| 976 |
+
eval_loss = 0.5147871501518019
|
| 977 |
+
global_step = 13999
|
| 978 |
+
loss = 0.2803018170285726
|
| 979 |
+
mcc = 0.3954928502055513
|
| 980 |
+
rep_loss = 0.0
|
| 981 |
+
att_loss = 0.0
|
| 982 |
+
cls_loss = 0.28044746648950547
|
| 983 |
+
eval_loss = 0.5145218941298398
|
| 984 |
+
global_step = 14099
|
| 985 |
+
loss = 0.28044746648950547
|
| 986 |
+
mcc = 0.3996634131246967
|
| 987 |
+
rep_loss = 0.0
|
| 988 |
+
att_loss = 0.0
|
| 989 |
+
cls_loss = 0.2806339640358631
|
| 990 |
+
eval_loss = 0.5083598521622744
|
| 991 |
+
global_step = 14199
|
| 992 |
+
loss = 0.2806339640358631
|
| 993 |
+
mcc = 0.3818848270189336
|
| 994 |
+
rep_loss = 0.0
|
| 995 |
+
att_loss = 0.0
|
| 996 |
+
cls_loss = 0.2807077560825752
|
| 997 |
+
eval_loss = 0.5083690303744692
|
| 998 |
+
global_step = 14299
|
| 999 |
+
loss = 0.2807077560825752
|
| 1000 |
+
mcc = 0.40043598733848285
|
| 1001 |
+
rep_loss = 0.0
|
| 1002 |
+
att_loss = 0.0
|
| 1003 |
+
cls_loss = 0.2807342776022636
|
| 1004 |
+
eval_loss = 0.5088989003138109
|
| 1005 |
+
global_step = 14399
|
| 1006 |
+
loss = 0.2807342776022636
|
| 1007 |
+
mcc = 0.40188104133596453
|
| 1008 |
+
rep_loss = 0.0
|
| 1009 |
+
att_loss = 0.0
|
| 1010 |
+
cls_loss = 0.2806438054516627
|
| 1011 |
+
eval_loss = 0.5132724976900852
|
| 1012 |
+
global_step = 14499
|
| 1013 |
+
loss = 0.2806438054516627
|
| 1014 |
+
mcc = 0.40602330795025077
|
| 1015 |
+
rep_loss = 0.0
|
| 1016 |
+
att_loss = 0.0
|
| 1017 |
+
cls_loss = 0.2806220871176256
|
| 1018 |
+
eval_loss = 0.5147652409293435
|
| 1019 |
+
global_step = 14599
|
| 1020 |
+
loss = 0.2806220871176256
|
| 1021 |
+
mcc = 0.39117212929787876
|
| 1022 |
+
rep_loss = 0.0
|
| 1023 |
+
att_loss = 0.0
|
| 1024 |
+
cls_loss = 0.28070966569574723
|
| 1025 |
+
eval_loss = 0.5120624204476675
|
| 1026 |
+
global_step = 14699
|
| 1027 |
+
loss = 0.28070966569574723
|
| 1028 |
+
mcc = 0.4123578103657358
|
| 1029 |
+
rep_loss = 0.0
|
| 1030 |
+
att_loss = 0.0
|
| 1031 |
+
cls_loss = 0.28070613990999144
|
| 1032 |
+
eval_loss = 0.5133554357470889
|
| 1033 |
+
global_step = 14799
|
| 1034 |
+
loss = 0.28070613990999144
|
| 1035 |
+
mcc = 0.3881583196544164
|
| 1036 |
+
rep_loss = 0.0
|
| 1037 |
+
att_loss = 0.0
|
| 1038 |
+
cls_loss = 0.2807093545262614
|
| 1039 |
+
eval_loss = 0.5114469564322269
|
| 1040 |
+
global_step = 14899
|
| 1041 |
+
loss = 0.2807093545262614
|
| 1042 |
+
mcc = 0.39822168961317467
|
| 1043 |
+
rep_loss = 0.0
|
| 1044 |
+
att_loss = 0.0
|
| 1045 |
+
cls_loss = 0.2807347339497145
|
| 1046 |
+
eval_loss = 0.5118169856793953
|
| 1047 |
+
global_step = 14999
|
| 1048 |
+
loss = 0.2807347339497145
|
| 1049 |
+
mcc = 0.3869908951412875
|
| 1050 |
+
rep_loss = 0.0
|
| 1051 |
+
att_loss = 0.0
|
| 1052 |
+
cls_loss = 0.28082120856450704
|
| 1053 |
+
eval_loss = 0.5114837397228588
|
| 1054 |
+
global_step = 15099
|
| 1055 |
+
loss = 0.28082120856450704
|
| 1056 |
+
mcc = 0.39831630919917926
|
| 1057 |
+
rep_loss = 0.0
|
| 1058 |
+
att_loss = 0.0
|
| 1059 |
+
cls_loss = 0.2807593362330797
|
| 1060 |
+
eval_loss = 0.5067198610667026
|
| 1061 |
+
global_step = 15199
|
| 1062 |
+
loss = 0.2807593362330797
|
| 1063 |
+
mcc = 0.40415734458808295
|
| 1064 |
+
rep_loss = 0.0
|
| 1065 |
+
att_loss = 0.0
|
| 1066 |
+
cls_loss = 0.2807870972221527
|
| 1067 |
+
eval_loss = 0.5098130802313486
|
| 1068 |
+
global_step = 15299
|
| 1069 |
+
loss = 0.2807870972221527
|
| 1070 |
+
mcc = 0.37827883919891614
|
| 1071 |
+
rep_loss = 0.0
|
| 1072 |
+
att_loss = 0.0
|
| 1073 |
+
cls_loss = 0.2807835819239312
|
| 1074 |
+
eval_loss = 0.5145537157853445
|
| 1075 |
+
global_step = 15399
|
| 1076 |
+
loss = 0.2807835819239312
|
| 1077 |
+
mcc = 0.38619245355598364
|
| 1078 |
+
rep_loss = 0.0
|
| 1079 |
+
att_loss = 0.0
|
| 1080 |
+
cls_loss = 0.2807902951179102
|
| 1081 |
+
eval_loss = 0.5105155444506443
|
| 1082 |
+
global_step = 15499
|
| 1083 |
+
loss = 0.2807902951179102
|
| 1084 |
+
mcc = 0.38568778619879135
|
| 1085 |
+
rep_loss = 0.0
|
| 1086 |
+
att_loss = 0.0
|
| 1087 |
+
cls_loss = 0.2808664371520466
|
| 1088 |
+
eval_loss = 0.5120808716976282
|
| 1089 |
+
global_step = 15599
|
| 1090 |
+
loss = 0.2808664371520466
|
| 1091 |
+
mcc = 0.3905903182021713
|
| 1092 |
+
rep_loss = 0.0
|
| 1093 |
+
att_loss = 0.0
|
| 1094 |
+
cls_loss = 0.28086480764978766
|
| 1095 |
+
eval_loss = 0.5126627259182207
|
| 1096 |
+
global_step = 15699
|
| 1097 |
+
loss = 0.28086480764978766
|
| 1098 |
+
mcc = 0.3877546380385484
|
| 1099 |
+
rep_loss = 0.0
|
| 1100 |
+
att_loss = 0.0
|
| 1101 |
+
cls_loss = 0.2807757077305287
|
| 1102 |
+
eval_loss = 0.5121393971370928
|
| 1103 |
+
global_step = 15799
|
| 1104 |
+
loss = 0.2807757077305287
|
| 1105 |
+
mcc = 0.39117212929787876
|
| 1106 |
+
rep_loss = 0.0
|
| 1107 |
+
att_loss = 0.0
|
| 1108 |
+
cls_loss = 0.2807666350825768
|
| 1109 |
+
eval_loss = 0.5142692002383146
|
| 1110 |
+
global_step = 15899
|
| 1111 |
+
loss = 0.2807666350825768
|
| 1112 |
+
mcc = 0.3746568093380507
|
| 1113 |
+
rep_loss = 0.0
|
| 1114 |
+
att_loss = 0.0
|
| 1115 |
+
cls_loss = 0.28078636219913994
|
| 1116 |
+
eval_loss = 0.5117888396436517
|
| 1117 |
+
global_step = 15999
|
| 1118 |
+
loss = 0.28078636219913994
|
| 1119 |
+
mcc = 0.3981019614430057
|
| 1120 |
+
rep_loss = 0.0
|
| 1121 |
+
att_loss = 0.0
|
| 1122 |
+
cls_loss = 0.28078779930120157
|
| 1123 |
+
eval_loss = 0.5096124988613706
|
| 1124 |
+
global_step = 16099
|
| 1125 |
+
loss = 0.28078779930120157
|
| 1126 |
+
mcc = 0.3919146115938579
|
| 1127 |
+
rep_loss = 0.0
|
| 1128 |
+
att_loss = 0.0
|
| 1129 |
+
cls_loss = 0.28075273311209464
|
| 1130 |
+
eval_loss = 0.5110085606575012
|
| 1131 |
+
global_step = 16199
|
| 1132 |
+
loss = 0.28075273311209464
|
| 1133 |
+
mcc = 0.40178544404291583
|
| 1134 |
+
rep_loss = 0.0
|
| 1135 |
+
att_loss = 0.0
|
| 1136 |
+
cls_loss = 0.2807791894532431
|
| 1137 |
+
eval_loss = 0.5103965654517665
|
| 1138 |
+
global_step = 16299
|
| 1139 |
+
loss = 0.2807791894532431
|
| 1140 |
+
mcc = 0.4024832514990541
|
| 1141 |
+
rep_loss = 0.0
|
| 1142 |
+
att_loss = 0.0
|
| 1143 |
+
cls_loss = 0.28079897838149276
|
| 1144 |
+
eval_loss = 0.511842996785135
|
| 1145 |
+
global_step = 16399
|
| 1146 |
+
loss = 0.28079897838149276
|
| 1147 |
+
mcc = 0.40339504639994617
|
| 1148 |
+
rep_loss = 0.0
|
| 1149 |
+
att_loss = 0.0
|
| 1150 |
+
cls_loss = 0.28081396074859205
|
| 1151 |
+
eval_loss = 0.5137978602539409
|
| 1152 |
+
global_step = 16499
|
| 1153 |
+
loss = 0.28081396074859205
|
| 1154 |
+
mcc = 0.3779893368407423
|
| 1155 |
+
rep_loss = 0.0
|
| 1156 |
+
att_loss = 0.0
|
| 1157 |
+
cls_loss = 0.28086851178795474
|
| 1158 |
+
eval_loss = 0.5133931411035133
|
| 1159 |
+
global_step = 16599
|
| 1160 |
+
loss = 0.28086851178795474
|
| 1161 |
+
mcc = 0.3815798845625387
|
| 1162 |
+
rep_loss = 0.0
|
| 1163 |
+
att_loss = 0.0
|
| 1164 |
+
cls_loss = 0.28092144247081824
|
| 1165 |
+
eval_loss = 0.5128023479924058
|
| 1166 |
+
global_step = 16699
|
| 1167 |
+
loss = 0.28092144247081824
|
| 1168 |
+
mcc = 0.39087642483600127
|
| 1169 |
+
rep_loss = 0.0
|
| 1170 |
+
att_loss = 0.0
|
| 1171 |
+
cls_loss = 0.28096025591330637
|
| 1172 |
+
eval_loss = 0.5111828834721537
|
| 1173 |
+
global_step = 16799
|
| 1174 |
+
loss = 0.28096025591330637
|
| 1175 |
+
mcc = 0.40529509862645224
|
| 1176 |
+
rep_loss = 0.0
|
| 1177 |
+
att_loss = 0.0
|
| 1178 |
+
cls_loss = 0.28094200728861396
|
| 1179 |
+
eval_loss = 0.5122123658657074
|
| 1180 |
+
global_step = 16899
|
| 1181 |
+
loss = 0.28094200728861396
|
| 1182 |
+
mcc = 0.3997145619263111
|
| 1183 |
+
rep_loss = 0.0
|
| 1184 |
+
att_loss = 0.0
|
| 1185 |
+
cls_loss = 0.28097063498207203
|
| 1186 |
+
eval_loss = 0.5112948065454309
|
| 1187 |
+
global_step = 16999
|
| 1188 |
+
loss = 0.28097063498207203
|
| 1189 |
+
mcc = 0.40011410558622174
|
| 1190 |
+
rep_loss = 0.0
|
| 1191 |
+
att_loss = 0.0
|
| 1192 |
+
cls_loss = 0.2810396369071103
|
| 1193 |
+
eval_loss = 0.5117527923800729
|
| 1194 |
+
global_step = 17099
|
| 1195 |
+
loss = 0.2810396369071103
|
| 1196 |
+
mcc = 0.40602330795025077
|
| 1197 |
+
rep_loss = 0.0
|
| 1198 |
+
att_loss = 0.0
|
| 1199 |
+
cls_loss = 0.28107882297954884
|
| 1200 |
+
eval_loss = 0.5100564261277517
|
| 1201 |
+
global_step = 17199
|
| 1202 |
+
loss = 0.28107882297954884
|
| 1203 |
+
mcc = 0.3940079243628446
|
| 1204 |
+
rep_loss = 0.0
|
| 1205 |
+
att_loss = 0.0
|
| 1206 |
+
cls_loss = 0.2810721668297138
|
| 1207 |
+
eval_loss = 0.5121440327528751
|
| 1208 |
+
global_step = 17299
|
| 1209 |
+
loss = 0.2810721668297138
|
| 1210 |
+
mcc = 0.4061988397614615
|
| 1211 |
+
rep_loss = 0.0
|
| 1212 |
+
att_loss = 0.0
|
| 1213 |
+
cls_loss = 0.2810846810089944
|
| 1214 |
+
eval_loss = 0.5108874918836536
|
| 1215 |
+
global_step = 17399
|
| 1216 |
+
loss = 0.2810846810089944
|
| 1217 |
+
mcc = 0.39117212929787876
|
| 1218 |
+
rep_loss = 0.0
|
| 1219 |
+
att_loss = 0.0
|
| 1220 |
+
cls_loss = 0.281094952950928
|
| 1221 |
+
eval_loss = 0.5103858853831436
|
| 1222 |
+
global_step = 17499
|
| 1223 |
+
loss = 0.281094952950928
|
| 1224 |
+
mcc = 0.4024832514990541
|
| 1225 |
+
rep_loss = 0.0
|
| 1226 |
+
att_loss = 0.0
|
| 1227 |
+
cls_loss = 0.2810448341918224
|
| 1228 |
+
eval_loss = 0.510013351837794
|
| 1229 |
+
global_step = 17599
|
| 1230 |
+
loss = 0.2810448341918224
|
| 1231 |
+
mcc = 0.39624593859516594
|
| 1232 |
+
rep_loss = 0.0
|
| 1233 |
+
att_loss = 0.0
|
| 1234 |
+
cls_loss = 0.28106725430390767
|
| 1235 |
+
eval_loss = 0.5108868804844943
|
| 1236 |
+
global_step = 17699
|
| 1237 |
+
loss = 0.28106725430390767
|
| 1238 |
+
mcc = 0.3996634131246967
|
| 1239 |
+
rep_loss = 0.0
|
| 1240 |
+
att_loss = 0.0
|
| 1241 |
+
cls_loss = 0.28105053143649744
|
| 1242 |
+
eval_loss = 0.5124899862390576
|
| 1243 |
+
global_step = 17799
|
| 1244 |
+
loss = 0.28105053143649744
|
| 1245 |
+
mcc = 0.39008612150299654
|
| 1246 |
+
rep_loss = 0.0
|
| 1247 |
+
att_loss = 0.0
|
| 1248 |
+
cls_loss = 0.28106551141932806
|
| 1249 |
+
eval_loss = 0.5115214387575785
|
| 1250 |
+
global_step = 17899
|
| 1251 |
+
loss = 0.28106551141932806
|
| 1252 |
+
mcc = 0.39213093547272937
|
| 1253 |
+
rep_loss = 0.0
|
| 1254 |
+
att_loss = 0.0
|
| 1255 |
+
cls_loss = 0.28108492543516894
|
| 1256 |
+
eval_loss = 0.510235332178347
|
| 1257 |
+
global_step = 17999
|
| 1258 |
+
loss = 0.28108492543516894
|
| 1259 |
+
mcc = 0.3890770339941176
|
| 1260 |
+
rep_loss = 0.0
|
| 1261 |
+
att_loss = 0.0
|
| 1262 |
+
cls_loss = 0.2810836833317184
|
| 1263 |
+
eval_loss = 0.5114746211153088
|
| 1264 |
+
global_step = 18099
|
| 1265 |
+
loss = 0.2810836833317184
|
| 1266 |
+
mcc = 0.39418417780027004
|
| 1267 |
+
rep_loss = 0.0
|
| 1268 |
+
att_loss = 0.0
|
| 1269 |
+
cls_loss = 0.2810900085169675
|
| 1270 |
+
eval_loss = 0.5144133034980658
|
| 1271 |
+
global_step = 18199
|
| 1272 |
+
loss = 0.2810900085169675
|
| 1273 |
+
mcc = 0.38281831833686425
|
| 1274 |
+
rep_loss = 0.0
|
| 1275 |
+
att_loss = 0.0
|
| 1276 |
+
cls_loss = 0.2811337992779358
|
| 1277 |
+
eval_loss = 0.5112034859079303
|
| 1278 |
+
global_step = 18299
|
| 1279 |
+
loss = 0.2811337992779358
|
| 1280 |
+
mcc = 0.3996440630136365
|
| 1281 |
+
rep_loss = 0.0
|
| 1282 |
+
att_loss = 0.0
|
| 1283 |
+
cls_loss = 0.28113125959784224
|
| 1284 |
+
eval_loss = 0.5127215882142385
|
| 1285 |
+
global_step = 18399
|
| 1286 |
+
loss = 0.28113125959784224
|
| 1287 |
+
mcc = 0.38568778619879135
|
| 1288 |
+
rep_loss = 0.0
|
| 1289 |
+
att_loss = 0.0
|
| 1290 |
+
cls_loss = 0.28110789366587113
|
| 1291 |
+
eval_loss = 0.5109962333332408
|
| 1292 |
+
global_step = 18499
|
| 1293 |
+
loss = 0.28110789366587113
|
| 1294 |
+
mcc = 0.39112585288276486
|
| 1295 |
+
rep_loss = 0.0
|
| 1296 |
+
att_loss = 0.0
|
| 1297 |
+
cls_loss = 0.28111427403913447
|
| 1298 |
+
eval_loss = 0.5127900233774474
|
| 1299 |
+
global_step = 18599
|
| 1300 |
+
loss = 0.28111427403913447
|
| 1301 |
+
mcc = 0.38034948826672105
|
| 1302 |
+
rep_loss = 0.0
|
| 1303 |
+
att_loss = 0.0
|
| 1304 |
+
cls_loss = 0.28112251104482355
|
| 1305 |
+
eval_loss = 0.5124395769653898
|
| 1306 |
+
global_step = 18699
|
| 1307 |
+
loss = 0.28112251104482355
|
| 1308 |
+
mcc = 0.39418417780027004
|
| 1309 |
+
rep_loss = 0.0
|
| 1310 |
+
att_loss = 0.0
|
| 1311 |
+
cls_loss = 0.2811035370392093
|
| 1312 |
+
eval_loss = 0.5116180073131215
|
| 1313 |
+
global_step = 18799
|
| 1314 |
+
loss = 0.2811035370392093
|
| 1315 |
+
mcc = 0.39418417780027004
|
| 1316 |
+
rep_loss = 0.0
|
| 1317 |
+
att_loss = 0.0
|
| 1318 |
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cls_loss = 0.2810910314499006
|
| 1319 |
+
eval_loss = 0.5112698972225189
|
| 1320 |
+
global_step = 18899
|
| 1321 |
+
loss = 0.2810910314499006
|
| 1322 |
+
mcc = 0.39624593859516594
|
| 1323 |
+
rep_loss = 0.0
|
| 1324 |
+
att_loss = 0.0
|
| 1325 |
+
cls_loss = 0.2810639343202822
|
| 1326 |
+
eval_loss = 0.5118823466878949
|
| 1327 |
+
global_step = 18999
|
| 1328 |
+
loss = 0.2810639343202822
|
| 1329 |
+
mcc = 0.3852178048848588
|
| 1330 |
+
rep_loss = 0.0
|
| 1331 |
+
att_loss = 0.0
|
| 1332 |
+
cls_loss = 0.281047973922413
|
| 1333 |
+
eval_loss = 0.5118935216556896
|
| 1334 |
+
global_step = 19099
|
| 1335 |
+
loss = 0.281047973922413
|
| 1336 |
+
mcc = 0.3916731692515916
|
| 1337 |
+
rep_loss = 0.0
|
| 1338 |
+
att_loss = 0.0
|
| 1339 |
+
cls_loss = 0.281021011028954
|
| 1340 |
+
eval_loss = 0.5107931025100477
|
| 1341 |
+
global_step = 19199
|
| 1342 |
+
loss = 0.281021011028954
|
| 1343 |
+
mcc = 0.3954928502055513
|
| 1344 |
+
rep_loss = 0.0
|
| 1345 |
+
att_loss = 0.0
|
| 1346 |
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cls_loss = 0.2810025809414747
|
| 1347 |
+
eval_loss = 0.5114801354480513
|
| 1348 |
+
global_step = 19299
|
| 1349 |
+
loss = 0.2810025809414747
|
| 1350 |
+
mcc = 0.397005988404347
|
| 1351 |
+
rep_loss = 0.0
|
| 1352 |
+
att_loss = 0.0
|
| 1353 |
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cls_loss = 0.2809744835557483
|
| 1354 |
+
eval_loss = 0.5109611894145156
|
| 1355 |
+
global_step = 19399
|
| 1356 |
+
loss = 0.2809744835557483
|
| 1357 |
+
mcc = 0.4011346232727083
|
| 1358 |
+
rep_loss = 0.0
|
| 1359 |
+
att_loss = 0.0
|
| 1360 |
+
cls_loss = 0.2809650007476518
|
| 1361 |
+
eval_loss = 0.5112038516637051
|
| 1362 |
+
global_step = 19499
|
| 1363 |
+
loss = 0.2809650007476518
|
| 1364 |
+
mcc = 0.4032118903317931
|
| 1365 |
+
rep_loss = 0.0
|
| 1366 |
+
att_loss = 0.0
|
| 1367 |
+
cls_loss = 0.2809396656315828
|
| 1368 |
+
eval_loss = 0.5116785367329916
|
| 1369 |
+
global_step = 19599
|
| 1370 |
+
loss = 0.2809396656315828
|
| 1371 |
+
mcc = 0.397005988404347
|
| 1372 |
+
rep_loss = 0.0
|
| 1373 |
+
att_loss = 0.0
|
| 1374 |
+
cls_loss = 0.2809460457934636
|
| 1375 |
+
eval_loss = 0.5114174241369421
|
| 1376 |
+
global_step = 19699
|
| 1377 |
+
loss = 0.2809460457934636
|
| 1378 |
+
mcc = 0.4032118903317931
|
| 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 |
+
oid sha256:9c2228631b6c483c03e774ce5dbe05337af44248e865d3377d9f02dc2a65eb8e
|
| 3 |
+
size 58394600
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vocab.txt
ADDED
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