Upload folder using huggingface_hub
Browse files- config.json +29 -0
- log.txt +296 -0
- step_74124_pytorch_model.bin +3 -0
- vocab.txt +0 -0
config.json
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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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"directionality": "bidi",
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"embedding_size": 64,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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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": 8,
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"num_hidden_layers": 6,
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"num_labels": 45,
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"pad_token_id": 0,
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"pooler_fc_size": 256,
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"pooler_num_attention_heads": 8,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 32,
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"pooler_type": "first_token_transform",
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"pre_trained": "",
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"training": "",
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"type_vocab_size": 2,
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"vocab_size": 119547
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}
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log.txt
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|
| 1 |
+
att_loss = 209.84693380590673
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| 2 |
+
global_step = 999
|
| 3 |
+
loss = 57.69758572163167
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| 4 |
+
rep_loss = 20.94340916844579
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| 5 |
+
att_loss = 165.71170048429823
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| 6 |
+
global_step = 1999
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| 7 |
+
loss = 46.19951452261928
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| 8 |
+
rep_loss = 19.086357670584103
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| 9 |
+
att_loss = 144.83306160431061
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| 10 |
+
global_step = 2999
|
| 11 |
+
loss = 40.662527871394246
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| 12 |
+
rep_loss = 17.817049934371944
|
| 13 |
+
att_loss = 126.72244481999864
|
| 14 |
+
global_step = 3999
|
| 15 |
+
loss = 35.87694203218659
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| 16 |
+
rep_loss = 16.785323343625155
|
| 17 |
+
att_loss = 110.85018071290803
|
| 18 |
+
global_step = 4999
|
| 19 |
+
loss = 31.69211928943177
|
| 20 |
+
rep_loss = 15.918296464134823
|
| 21 |
+
att_loss = 99.0477863349285
|
| 22 |
+
global_step = 5999
|
| 23 |
+
loss = 28.56885756582275
|
| 24 |
+
rep_loss = 15.227643935079078
|
| 25 |
+
att_loss = 90.08435424175718
|
| 26 |
+
global_step = 6999
|
| 27 |
+
loss = 26.18863893784971
|
| 28 |
+
rep_loss = 14.67020151590957
|
| 29 |
+
att_loss = 83.06683233860568
|
| 30 |
+
global_step = 7999
|
| 31 |
+
loss = 24.318134420617607
|
| 32 |
+
rep_loss = 14.205705349080816
|
| 33 |
+
att_loss = 77.42020322217029
|
| 34 |
+
global_step = 8999
|
| 35 |
+
loss = 22.807512462529914
|
| 36 |
+
rep_loss = 13.809846632744765
|
| 37 |
+
att_loss = 72.78210815127724
|
| 38 |
+
global_step = 9999
|
| 39 |
+
loss = 21.562217962528447
|
| 40 |
+
rep_loss = 13.46676370286622
|
| 41 |
+
att_loss = 68.9046408018748
|
| 42 |
+
global_step = 10999
|
| 43 |
+
loss = 20.517567878745343
|
| 44 |
+
rep_loss = 13.165630719436061
|
| 45 |
+
att_loss = 65.61373025332404
|
| 46 |
+
global_step = 11999
|
| 47 |
+
loss = 19.628126858095197
|
| 48 |
+
rep_loss = 12.898777186150292
|
| 49 |
+
att_loss = 62.78407052939044
|
| 50 |
+
global_step = 12999
|
| 51 |
+
loss = 18.86109344272744
|
| 52 |
+
rep_loss = 12.660303246508159
|
| 53 |
+
att_loss = 60.321191307340094
|
| 54 |
+
global_step = 13999
|
| 55 |
+
loss = 18.191698471727825
|
| 56 |
+
rep_loss = 12.445602583079621
|
| 57 |
+
att_loss = 58.157939705644274
|
| 58 |
+
global_step = 14999
|
| 59 |
+
loss = 17.602239236934032
|
| 60 |
+
rep_loss = 12.251017243061488
|
| 61 |
+
att_loss = 56.24132936016769
|
| 62 |
+
global_step = 15999
|
| 63 |
+
loss = 17.078805012869548
|
| 64 |
+
rep_loss = 12.073890690893238
|
| 65 |
+
att_loss = 54.52928538288507
|
| 66 |
+
global_step = 16999
|
| 67 |
+
loss = 16.610221992991196
|
| 68 |
+
rep_loss = 11.911602589346197
|
| 69 |
+
att_loss = 52.990068269534945
|
| 70 |
+
global_step = 17999
|
| 71 |
+
loss = 16.188082431977282
|
| 72 |
+
rep_loss = 11.762261458996752
|
| 73 |
+
att_loss = 51.59911883304643
|
| 74 |
+
global_step = 18999
|
| 75 |
+
loss = 15.805933633034616
|
| 76 |
+
rep_loss = 11.624615701212809
|
| 77 |
+
att_loss = 50.33417448767889
|
| 78 |
+
global_step = 19999
|
| 79 |
+
loss = 15.457836293048802
|
| 80 |
+
rep_loss = 11.497170687139056
|
| 81 |
+
att_loss = 49.177991549613004
|
| 82 |
+
global_step = 20999
|
| 83 |
+
loss = 15.139162491375993
|
| 84 |
+
rep_loss = 11.378658417991424
|
| 85 |
+
att_loss = 48.11737241577661
|
| 86 |
+
global_step = 21999
|
| 87 |
+
loss = 14.84643892172418
|
| 88 |
+
rep_loss = 11.26838327234477
|
| 89 |
+
att_loss = 47.14026765219206
|
| 90 |
+
global_step = 22999
|
| 91 |
+
loss = 14.57641639561854
|
| 92 |
+
rep_loss = 11.165397931774873
|
| 93 |
+
att_loss = 46.237294024182106
|
| 94 |
+
global_step = 23999
|
| 95 |
+
loss = 14.326568488354653
|
| 96 |
+
rep_loss = 11.068979930885634
|
| 97 |
+
att_loss = 25.22745423136708
|
| 98 |
+
global_step = 24999
|
| 99 |
+
loss = 8.504985579100671
|
| 100 |
+
rep_loss = 8.792488086674222
|
| 101 |
+
att_loss = 25.15907286895882
|
| 102 |
+
global_step = 25999
|
| 103 |
+
loss = 8.483656530136475
|
| 104 |
+
rep_loss = 8.775553227394335
|
| 105 |
+
att_loss = 25.083640622447433
|
| 106 |
+
global_step = 26999
|
| 107 |
+
loss = 8.460220199336865
|
| 108 |
+
rep_loss = 8.757240169904785
|
| 109 |
+
att_loss = 25.019977707661454
|
| 110 |
+
global_step = 27999
|
| 111 |
+
loss = 8.440132262387271
|
| 112 |
+
rep_loss = 8.74055134753839
|
| 113 |
+
att_loss = 24.954198857505013
|
| 114 |
+
global_step = 28999
|
| 115 |
+
loss = 8.419726658939787
|
| 116 |
+
rep_loss = 8.724707782310196
|
| 117 |
+
att_loss = 24.89150997840306
|
| 118 |
+
global_step = 29999
|
| 119 |
+
loss = 8.40021211166865
|
| 120 |
+
rep_loss = 8.709338473228263
|
| 121 |
+
att_loss = 24.831463761482002
|
| 122 |
+
global_step = 30999
|
| 123 |
+
loss = 8.381564421279311
|
| 124 |
+
rep_loss = 8.694793931025425
|
| 125 |
+
att_loss = 24.77321180867619
|
| 126 |
+
global_step = 31999
|
| 127 |
+
loss = 8.363558001960358
|
| 128 |
+
rep_loss = 8.681020208125153
|
| 129 |
+
att_loss = 24.717486149237278
|
| 130 |
+
global_step = 32999
|
| 131 |
+
loss = 8.346308299793781
|
| 132 |
+
rep_loss = 8.667747056954388
|
| 133 |
+
att_loss = 24.664469755526035
|
| 134 |
+
global_step = 33999
|
| 135 |
+
loss = 8.32989788595589
|
| 136 |
+
rep_loss = 8.655121794661515
|
| 137 |
+
att_loss = 24.61377468953361
|
| 138 |
+
global_step = 34999
|
| 139 |
+
loss = 8.314236196180252
|
| 140 |
+
rep_loss = 8.643170101025653
|
| 141 |
+
att_loss = 24.56385207026286
|
| 142 |
+
global_step = 35999
|
| 143 |
+
loss = 8.298866038706334
|
| 144 |
+
rep_loss = 8.631612091636269
|
| 145 |
+
att_loss = 24.51556509794788
|
| 146 |
+
global_step = 36999
|
| 147 |
+
loss = 8.284020376257818
|
| 148 |
+
rep_loss = 8.62051641563783
|
| 149 |
+
att_loss = 24.468768902964396
|
| 150 |
+
global_step = 37999
|
| 151 |
+
loss = 8.269674758943063
|
| 152 |
+
rep_loss = 8.609930141203003
|
| 153 |
+
att_loss = 24.423921786815388
|
| 154 |
+
global_step = 38999
|
| 155 |
+
loss = 8.255939204792439
|
| 156 |
+
rep_loss = 8.599835040295535
|
| 157 |
+
att_loss = 24.380768592015702
|
| 158 |
+
global_step = 39999
|
| 159 |
+
loss = 8.242748112326458
|
| 160 |
+
rep_loss = 8.59022386594374
|
| 161 |
+
att_loss = 24.339101393602878
|
| 162 |
+
global_step = 40999
|
| 163 |
+
loss = 8.230025054436569
|
| 164 |
+
rep_loss = 8.580998831124283
|
| 165 |
+
att_loss = 24.29918149073151
|
| 166 |
+
global_step = 41999
|
| 167 |
+
loss = 8.217830534047785
|
| 168 |
+
rep_loss = 8.572140651278414
|
| 169 |
+
att_loss = 24.259688048826508
|
| 170 |
+
global_step = 42999
|
| 171 |
+
loss = 8.205809574541442
|
| 172 |
+
rep_loss = 8.563550255895736
|
| 173 |
+
att_loss = 24.22220814490688
|
| 174 |
+
global_step = 43999
|
| 175 |
+
loss = 8.194375613671205
|
| 176 |
+
rep_loss = 8.555294316427116
|
| 177 |
+
att_loss = 24.185618172553873
|
| 178 |
+
global_step = 44999
|
| 179 |
+
loss = 8.18323660490224
|
| 180 |
+
rep_loss = 8.547328252977067
|
| 181 |
+
att_loss = 24.150339277246044
|
| 182 |
+
global_step = 45999
|
| 183 |
+
loss = 8.172503035208823
|
| 184 |
+
rep_loss = 8.539672869434655
|
| 185 |
+
att_loss = 24.115619536166204
|
| 186 |
+
global_step = 46999
|
| 187 |
+
loss = 8.161952827131971
|
| 188 |
+
rep_loss = 8.53219177810529
|
| 189 |
+
att_loss = 24.08234777131592
|
| 190 |
+
global_step = 47999
|
| 191 |
+
loss = 8.151864064814099
|
| 192 |
+
rep_loss = 8.52510849261856
|
| 193 |
+
att_loss = 24.05051760700809
|
| 194 |
+
global_step = 48999
|
| 195 |
+
loss = 8.142200022456155
|
| 196 |
+
rep_loss = 8.518282487390364
|
| 197 |
+
att_loss = 23.24279561787077
|
| 198 |
+
global_step = 49999
|
| 199 |
+
loss = 7.897759772696585
|
| 200 |
+
rep_loss = 8.34824347618718
|
| 201 |
+
att_loss = 23.22737264874158
|
| 202 |
+
global_step = 50999
|
| 203 |
+
loss = 7.893226770381722
|
| 204 |
+
rep_loss = 8.3455344389604
|
| 205 |
+
att_loss = 23.214042543026537
|
| 206 |
+
global_step = 51999
|
| 207 |
+
loss = 7.889089024533055
|
| 208 |
+
rep_loss = 8.342313558797803
|
| 209 |
+
att_loss = 23.194175547605916
|
| 210 |
+
global_step = 52999
|
| 211 |
+
loss = 7.883141329892015
|
| 212 |
+
rep_loss = 8.338389775555394
|
| 213 |
+
att_loss = 23.178890304536296
|
| 214 |
+
global_step = 53999
|
| 215 |
+
loss = 7.878551584832043
|
| 216 |
+
rep_loss = 8.3353160353121
|
| 217 |
+
att_loss = 23.162422715774174
|
| 218 |
+
global_step = 54999
|
| 219 |
+
loss = 7.87366895060289
|
| 220 |
+
rep_loss = 8.33225308501462
|
| 221 |
+
att_loss = 23.15041960515314
|
| 222 |
+
global_step = 55999
|
| 223 |
+
loss = 7.870024225133432
|
| 224 |
+
rep_loss = 8.329677294873546
|
| 225 |
+
att_loss = 23.134781693336944
|
| 226 |
+
global_step = 56999
|
| 227 |
+
loss = 7.865398134544471
|
| 228 |
+
rep_loss = 8.326810846287232
|
| 229 |
+
att_loss = 23.119047901589568
|
| 230 |
+
global_step = 57999
|
| 231 |
+
loss = 7.860757558312184
|
| 232 |
+
rep_loss = 8.32398233368696
|
| 233 |
+
att_loss = 23.10618398120629
|
| 234 |
+
global_step = 58999
|
| 235 |
+
loss = 7.85688899611551
|
| 236 |
+
rep_loss = 8.321372006713977
|
| 237 |
+
att_loss = 23.092592244966937
|
| 238 |
+
global_step = 59999
|
| 239 |
+
loss = 7.85282417023147
|
| 240 |
+
rep_loss = 8.31870443851592
|
| 241 |
+
att_loss = 23.07929491187834
|
| 242 |
+
global_step = 60999
|
| 243 |
+
loss = 7.848864369057708
|
| 244 |
+
rep_loss = 8.31616256800606
|
| 245 |
+
att_loss = 23.067075360724175
|
| 246 |
+
global_step = 61999
|
| 247 |
+
loss = 7.845211551904319
|
| 248 |
+
rep_loss = 8.313770850388943
|
| 249 |
+
att_loss = 23.055834349779918
|
| 250 |
+
global_step = 62999
|
| 251 |
+
loss = 7.841862161679251
|
| 252 |
+
rep_loss = 8.311614300561725
|
| 253 |
+
att_loss = 23.045012634150215
|
| 254 |
+
global_step = 63999
|
| 255 |
+
loss = 7.838644647814075
|
| 256 |
+
rep_loss = 8.309565960416773
|
| 257 |
+
att_loss = 23.03384397504633
|
| 258 |
+
global_step = 64999
|
| 259 |
+
loss = 7.835358040098552
|
| 260 |
+
rep_loss = 8.30758818858381
|
| 261 |
+
att_loss = 23.023033149192223
|
| 262 |
+
global_step = 65999
|
| 263 |
+
loss = 7.832186444306168
|
| 264 |
+
rep_loss = 8.305712631562072
|
| 265 |
+
att_loss = 23.013222358471257
|
| 266 |
+
global_step = 66999
|
| 267 |
+
loss = 7.829288591488646
|
| 268 |
+
rep_loss = 8.303932011313917
|
| 269 |
+
att_loss = 23.004241056375033
|
| 270 |
+
global_step = 67999
|
| 271 |
+
loss = 7.826613347407069
|
| 272 |
+
rep_loss = 8.302212337968244
|
| 273 |
+
att_loss = 22.995687439402356
|
| 274 |
+
global_step = 68999
|
| 275 |
+
loss = 7.824071617497308
|
| 276 |
+
rep_loss = 8.300599036035088
|
| 277 |
+
att_loss = 22.987019453139983
|
| 278 |
+
global_step = 69999
|
| 279 |
+
loss = 7.821517908474114
|
| 280 |
+
rep_loss = 8.299052186345403
|
| 281 |
+
att_loss = 22.97899777391161
|
| 282 |
+
global_step = 70999
|
| 283 |
+
loss = 7.819153770952844
|
| 284 |
+
rep_loss = 8.297617315378876
|
| 285 |
+
att_loss = 22.97134471158175
|
| 286 |
+
global_step = 71999
|
| 287 |
+
loss = 7.816903768040569
|
| 288 |
+
rep_loss = 8.296270365980652
|
| 289 |
+
att_loss = 22.963625702791045
|
| 290 |
+
global_step = 72999
|
| 291 |
+
loss = 7.814629227738089
|
| 292 |
+
rep_loss = 8.29489121263488
|
| 293 |
+
att_loss = 22.956756729864924
|
| 294 |
+
global_step = 73999
|
| 295 |
+
loss = 7.812607495423878
|
| 296 |
+
rep_loss = 8.293673256674994
|
step_74124_pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 143743622
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vocab.txt
ADDED
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