Hugging Face's logo

magepol
/
en_generic

Text Classification
spaCy
English
token-classification
Eval Results
Model card Files
xet
Community
magepol commited on
Commit
8a037dd
·
verified ·
1 Parent(s): 758877c

Update spaCy pipeline

Browse files
Files changed (11) hide show
  1. .gitattributes +1 -0
  2. README.md +21 -21
  3. config.cfg +3 -24
  4. en_generic-any-py3-none-any.whl +2 -2
  5. meta.json +125 -257
  6. ner/model +0 -0
  7. ner/moves +1 -1
  8. textcat/cfg +10 -10
  9. textcat/model +1 -1
  10. tok2vec/model +1 -1
  11. vocab/strings.json +0 -0
.gitattributes CHANGED
@@ -38,3 +38,4 @@ textcat/model filter=lfs diff=lfs merge=lfs -text
38
  tok2vec/model filter=lfs diff=lfs merge=lfs -text
39
  vocab/key2row filter=lfs diff=lfs merge=lfs -text
40
  vocab/vectors filter=lfs diff=lfs merge=lfs -text
 
 
38
  tok2vec/model filter=lfs diff=lfs merge=lfs -text
39
  vocab/key2row filter=lfs diff=lfs merge=lfs -text
40
  vocab/vectors filter=lfs diff=lfs merge=lfs -text
41
+ ner/model filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -14,18 +14,18 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8626560726
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8315098468
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8467966574
24
  ---
25
  | Feature | Description |
26
  | --- | --- |
27
  | **Name** | `en_generic` |
28
- | **Version** | `0.0.1` |
29
  | **spaCy** | `>=3.7.5,<3.8.0` |
30
  | **Default Pipeline** | `tok2vec`, `ner`, `textcat` |
31
  | **Components** | `tok2vec`, `ner`, `textcat` |
@@ -38,12 +38,12 @@ model-index:
38
 
39
  <details>
40
 
41
- <summary>View label scheme (51 labels for 2 components)</summary>
42
 
43
  | Component | Labels |
44
  | --- | --- |
45
- | **`ner`** | `AGE`, `BRAND`, `CAPACITY`, `CLOCK_SPEED`, `COLOR`, `CORE_COUNT`, `DECORATION`, `FEATURE`, `FIT`, `GEN`, `GENDER`, `GRAPHICS`, `GRAPHICS_RAM`, `LENGTH`, `MATERIAL`, `MEASUREMENT`, `MEASUREMENT_AREA`, `MODEL`, `MODEL_NUMBER`, `NECKLINE`, `OPERATING_SYSTEM`, `PATTERN`, `PROCESSOR`, `PROCESSOR_MODEL`, `PRODUCT_SERIES`, `RAM`, `RESOLUTION`, `SCREEN_SIZE`, `SCREEN_TYPE`, `SIZE`, `SLEEVE`, `STORAGE`, `STORAGE_TYPE`, `TAG`, `TYPE`, `ZIP` |
46
- | **`textcat`** | `100`, `187`, `204`, `207`, `211`, `212`, `267`, `325`, `328`, `2271`, `2331`, `5250`, `5424`, `5598`, `6228` |
47
 
48
  </details>
49
 
@@ -51,17 +51,17 @@ model-index:
51
 
52
  | Type | Score |
53
  | --- | --- |
54
- | `ENTS_F` | 84.68 |
55
- | `ENTS_P` | 86.27 |
56
- | `ENTS_R` | 83.15 |
57
- | `CATS_SCORE` | 95.82 |
58
- | `CATS_MICRO_P` | 96.90 |
59
- | `CATS_MICRO_R` | 96.90 |
60
- | `CATS_MICRO_F` | 96.90 |
61
- | `CATS_MACRO_P` | 96.76 |
62
- | `CATS_MACRO_R` | 95.22 |
63
- | `CATS_MACRO_F` | 95.82 |
64
- | `CATS_MACRO_AUC` | 99.85 |
65
- | `TOK2VEC_LOSS` | 4855291.83 |
66
- | `NER_LOSS` | 58817.60 |
67
- | `TEXTCAT_LOSS` | 0.37 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.9265694149
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.9274815422
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.9270252542
24
  ---
25
  | Feature | Description |
26
  | --- | --- |
27
  | **Name** | `en_generic` |
28
+ | **Version** | `0.0.2` |
29
  | **spaCy** | `>=3.7.5,<3.8.0` |
30
  | **Default Pipeline** | `tok2vec`, `ner`, `textcat` |
31
  | **Components** | `tok2vec`, `ner`, `textcat` |
 
38
 
39
  <details>
40
 
41
+ <summary>View label scheme (29 labels for 2 components)</summary>
42
 
43
  | Component | Labels |
44
  | --- | --- |
45
+ | **`ner`** | `BRAND`, `COLOR`, `DISPLAY`, `GENDER`, `MATERIAL`, `MEMORY`, `MISC`, `MODEL_IDENTIFIER`, `PROCESSOR`, `PRODUCT_TYPE`, `SEASON`, `SIZE_MEASUREMENT`, `STYLE_FIT`, `TECH_FEATURE` |
46
+ | **`textcat`** | `292`, `325`, `328`, `297`, `4745`, `267`, `204`, `207`, `2331`, `211`, `212`, `6228`, `187`, `5598`, `2271` |
47
 
48
  </details>
49
 
 
51
 
52
  | Type | Score |
53
  | --- | --- |
54
+ | `ENTS_F` | 92.70 |
55
+ | `ENTS_P` | 92.66 |
56
+ | `ENTS_R` | 92.75 |
57
+ | `CATS_SCORE` | 98.18 |
58
+ | `CATS_MICRO_P` | 98.34 |
59
+ | `CATS_MICRO_R` | 98.34 |
60
+ | `CATS_MICRO_F` | 98.34 |
61
+ | `CATS_MACRO_P` | 98.17 |
62
+ | `CATS_MACRO_R` | 98.31 |
63
+ | `CATS_MACRO_F` | 98.18 |
64
+ | `CATS_MACRO_AUC` | 99.80 |
65
+ | `TOK2VEC_LOSS` | 29535699.33 |
66
+ | `NER_LOSS` | 267651.65 |
67
+ | `TEXTCAT_LOSS` | 3.26 |
config.cfg CHANGED
@@ -1,6 +1,6 @@
1
  [paths]
2
- train = "data/train.spacy"
3
- dev = "data/dev.spacy"
4
  vectors = "en_core_web_lg"
5
  init_tok2vec = null
6
 
@@ -131,29 +131,8 @@ compound = 1.001
131
  t = 0.0
132
 
133
  [training.logger]
134
- @loggers = "spacy.ChainLogger.v1"
135
- logger3 = null
136
- logger4 = null
137
- logger5 = null
138
- logger6 = null
139
- logger7 = null
140
- logger8 = null
141
- logger9 = null
142
- logger10 = null
143
-
144
- [training.logger.logger1]
145
- @loggers = "spacy.MLflowLogger.v2"
146
- experiment_id = "\"766807965906424380\""
147
- run_name = "first_run"
148
- run_id = null
149
- nested = false
150
- tags = null
151
- remove_config_values = []
152
- log_custom_stats = null
153
-
154
- [training.logger.logger2]
155
  @loggers = "spacy.ConsoleLogger.v1"
156
- progress_bar = "true"
157
 
158
  [training.optimizer]
159
  @optimizers = "Adam.v1"
 
1
  [paths]
2
+ train = "data/generic/train.spacy"
3
+ dev = "data/generic/dev.spacy"
4
  vectors = "en_core_web_lg"
5
  init_tok2vec = null
6
 
 
131
  t = 0.0
132
 
133
  [training.logger]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
134
  @loggers = "spacy.ConsoleLogger.v1"
135
+ progress_bar = true
136
 
137
  [training.optimizer]
138
  @optimizers = "Adam.v1"
en_generic-any-py3-none-any.whl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5d80e1872a4db9cf6374e15c22c4f574f438e120d3430c9d474f2cb11ba74e77
3
- size 607898109
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d278b05d8100f86213cf7a6193afe93d4e96b6e0d2e58807803c91dbe82f6b5
3
+ size 608050944
meta.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "lang":"en",
3
  "name":"generic",
4
- "version":"0.0.1",
5
  "description":"",
6
  "author":"",
7
  "email":"",
@@ -20,59 +20,37 @@
20
 
21
  ],
22
  "ner":[
23
- "AGE",
24
  "BRAND",
25
- "CAPACITY",
26
- "CLOCK_SPEED",
27
  "COLOR",
28
- "CORE_COUNT",
29
- "DECORATION",
30
- "FEATURE",
31
- "FIT",
32
- "GEN",
33
  "GENDER",
34
- "GRAPHICS",
35
- "GRAPHICS_RAM",
36
- "LENGTH",
37
  "MATERIAL",
38
- "MEASUREMENT",
39
- "MEASUREMENT_AREA",
40
- "MODEL",
41
- "MODEL_NUMBER",
42
- "NECKLINE",
43
- "OPERATING_SYSTEM",
44
- "PATTERN",
45
  "PROCESSOR",
46
- "PROCESSOR_MODEL",
47
- "PRODUCT_SERIES",
48
- "RAM",
49
- "RESOLUTION",
50
- "SCREEN_SIZE",
51
- "SCREEN_TYPE",
52
- "SIZE",
53
- "SLEEVE",
54
- "STORAGE",
55
- "STORAGE_TYPE",
56
- "TAG",
57
- "TYPE",
58
- "ZIP"
59
  ],
60
  "textcat":[
61
- "100",
62
- "187",
 
 
 
 
63
  "204",
64
  "207",
 
65
  "211",
66
  "212",
67
- "267",
68
- "325",
69
- "328",
70
- "2271",
71
- "2331",
72
- "5250",
73
- "5424",
74
  "5598",
75
- "6228"
76
  ]
77
  },
78
  "pipeline":[
@@ -89,275 +67,165 @@
89
 
90
  ],
91
  "performance":{
92
- "ents_f":0.8467966574,
93
- "ents_p":0.8626560726,
94
- "ents_r":0.8315098468,
95
  "ents_per_type":{
96
- "BRAND":{
97
- "p":0.9372937294,
98
- "r":0.9250814332,
99
- "f":0.931147541
100
  },
101
- "TAG":{
102
- "p":0.7869249395,
103
- "r":0.7907542579,
104
- "f":0.7888349515
105
  },
106
- "SLEEVE":{
107
- "p":0.8846153846,
108
- "r":0.8518518519,
109
- "f":0.8679245283
110
  },
111
- "TYPE":{
112
- "p":0.9035532995,
113
- "r":0.9270833333,
114
- "f":0.9151670951
115
  },
116
- "DECORATION":{
117
- "p":0.9047619048,
118
- "r":0.59375,
119
- "f":0.7169811321
120
  },
121
- "GENDER":{
122
- "p":0.9671361502,
123
- "r":0.8879310345,
124
- "f":0.9258426966
125
  },
126
- "SIZE":{
127
- "p":0.8036253776,
128
- "r":0.8636363636,
129
- "f":0.8325508607
130
  },
131
- "LENGTH":{
132
- "p":0.7142857143,
133
- "r":1.0,
134
- "f":0.8333333333
135
  },
136
  "COLOR":{
137
- "p":0.8333333333,
138
- "r":0.6609195402,
139
- "f":0.7371794872
140
- },
141
- "PRODUCT_SERIES":{
142
- "p":0.7708333333,
143
- "r":0.8043478261,
144
- "f":0.7872340426
145
- },
146
- "FEATURE":{
147
- "p":1.0,
148
- "r":0.9,
149
- "f":0.9473684211
150
- },
151
- "SCREEN_SIZE":{
152
- "p":0.8292682927,
153
- "r":0.7727272727,
154
- "f":0.8
155
- },
156
- "PROCESSOR":{
157
- "p":0.9047619048,
158
- "r":0.95,
159
- "f":0.9268292683
160
  },
161
- "RAM":{
162
- "p":0.96875,
163
- "r":0.8857142857,
164
- "f":0.9253731343
165
- },
166
- "STORAGE":{
167
- "p":0.9772727273,
168
- "r":0.9555555556,
169
- "f":0.9662921348
170
- },
171
- "STORAGE_TYPE":{
172
- "p":1.0,
173
- "r":0.9677419355,
174
- "f":0.9836065574
175
  },
176
- "CORE_COUNT":{
177
- "p":0.8,
178
- "r":0.5,
179
- "f":0.6153846154
180
  },
181
- "CLOCK_SPEED":{
182
- "p":1.0,
183
- "r":0.7,
184
- "f":0.8235294118
185
  },
186
  "MATERIAL":{
187
- "p":0.8727272727,
188
- "r":0.8421052632,
189
- "f":0.8571428571
190
- },
191
- "FIT":{
192
- "p":0.6444444444,
193
- "r":0.8787878788,
194
- "f":0.7435897436
195
- },
196
- "MEASUREMENT_AREA":{
197
- "p":0.9719626168,
198
- "r":0.9811320755,
199
- "f":0.9765258216
200
- },
201
- "MEASUREMENT":{
202
- "p":0.8144329897,
203
- "r":0.5,
204
- "f":0.6196078431
205
- },
206
- "NECKLINE":{
207
- "p":0.8125,
208
- "r":0.8666666667,
209
- "f":0.8387096774
210
- },
211
- "ZIP":{
212
- "p":0.9090909091,
213
- "r":1.0,
214
- "f":0.9523809524
215
- },
216
- "PROCESSOR_MODEL":{
217
- "p":0.7272727273,
218
- "r":0.8888888889,
219
- "f":0.8
220
- },
221
- "SCREEN_TYPE":{
222
- "p":1.0,
223
- "r":0.7142857143,
224
- "f":0.8333333333
225
- },
226
- "MODEL":{
227
- "p":0.7142857143,
228
- "r":0.5555555556,
229
- "f":0.625
230
- },
231
- "MODEL_NUMBER":{
232
- "p":0.2666666667,
233
- "r":0.3076923077,
234
- "f":0.2857142857
235
- },
236
- "AGE":{
237
- "p":0.7894736842,
238
- "r":0.9,
239
- "f":0.8411214953
240
- },
241
- "GRAPHICS":{
242
  "p":0.7857142857,
243
  "r":0.8148148148,
244
  "f":0.8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
245
  },
246
- "RESOLUTION":{
247
- "p":0.9375,
248
- "r":0.8333333333,
249
- "f":0.8823529412
250
- },
251
- "OPERATING_SYSTEM":{
252
- "p":0.6,
253
- "r":0.1875,
254
- "f":0.2857142857
255
  },
256
- "GRAPHICS_RAM":{
257
- "p":0.8888888889,
258
- "r":1.0,
259
- "f":0.9411764706
260
  },
261
- "CAPACITY":{
262
  "p":1.0,
263
- "r":0.9,
264
- "f":0.9473684211
265
  },
266
- "PATTERN":{
267
- "p":0.0,
268
- "r":0.0,
269
- "f":0.0
270
- }
271
- },
272
- "cats_score":0.9582208493,
273
- "cats_score_desc":"macro F",
274
- "cats_micro_p":0.9690140845,
275
- "cats_micro_r":0.9690140845,
276
- "cats_micro_f":0.9690140845,
277
- "cats_macro_p":0.9675686691,
278
- "cats_macro_r":0.9522240089,
279
- "cats_macro_f":0.9582208493,
280
- "cats_macro_auc":0.998488891,
281
- "cats_f_per_type":{
282
- "100":{
283
  "p":1.0,
284
  "r":1.0,
285
  "f":1.0
286
  },
287
- "187":{
288
  "p":1.0,
289
  "r":1.0,
290
  "f":1.0
291
  },
292
  "204":{
293
- "p":0.9473684211,
294
- "r":1.0,
295
- "f":0.972972973
296
  },
297
  "207":{
298
- "p":1.0,
299
- "r":0.9677419355,
300
  "f":0.9836065574
301
  },
 
 
 
 
 
302
  "211":{
303
  "p":1.0,
304
  "r":1.0,
305
  "f":1.0
306
  },
307
  "212":{
308
- "p":0.9888888889,
309
- "r":0.978021978,
310
- "f":0.9834254144
311
- },
312
- "267":{
313
- "p":1.0,
314
- "r":0.8571428571,
315
- "f":0.9230769231
316
- },
317
- "325":{
318
- "p":1.0,
319
- "r":0.8461538462,
320
- "f":0.9166666667
321
- },
322
- "328":{
323
- "p":0.9333333333,
324
- "r":1.0,
325
- "f":0.9655172414
326
  },
327
- "2271":{
328
- "p":0.9166666667,
329
- "r":0.9565217391,
330
- "f":0.9361702128
331
- },
332
- "2331":{
333
  "p":1.0,
334
  "r":1.0,
335
  "f":1.0
336
  },
337
- "5250":{
338
  "p":1.0,
339
- "r":0.8888888889,
340
- "f":0.9411764706
341
- },
342
- "5424":{
343
- "p":0.8181818182,
344
- "r":0.9,
345
- "f":0.8571428571
346
  },
347
  "5598":{
348
- "p":1.0,
349
- "r":0.8888888889,
350
- "f":0.9411764706
351
  },
352
- "6228":{
353
- "p":0.9090909091,
354
  "r":1.0,
355
- "f":0.9523809524
356
  }
357
  },
358
- "tok2vec_loss":48552.9183467008,
359
- "ner_loss":588.1760154255,
360
- "textcat_loss":0.0037489441
361
  },
362
  "requirements":[
363
 
 
1
  {
2
  "lang":"en",
3
  "name":"generic",
4
+ "version":"0.0.2",
5
  "description":"",
6
  "author":"",
7
  "email":"",
 
20
 
21
  ],
22
  "ner":[
 
23
  "BRAND",
 
 
24
  "COLOR",
25
+ "DISPLAY",
 
 
 
 
26
  "GENDER",
 
 
 
27
  "MATERIAL",
28
+ "MEMORY",
29
+ "MISC",
30
+ "MODEL_IDENTIFIER",
 
 
 
 
31
  "PROCESSOR",
32
+ "PRODUCT_TYPE",
33
+ "SEASON",
34
+ "SIZE_MEASUREMENT",
35
+ "STYLE_FIT",
36
+ "TECH_FEATURE"
 
 
 
 
 
 
 
 
37
  ],
38
  "textcat":[
39
+ "292",
40
+ "325",
41
+ "328",
42
+ "297",
43
+ "4745",
44
+ "267",
45
  "204",
46
  "207",
47
+ "2331",
48
  "211",
49
  "212",
50
+ "6228",
51
+ "187",
 
 
 
 
 
52
  "5598",
53
+ "2271"
54
  ]
55
  },
56
  "pipeline":[
 
67
 
68
  ],
69
  "performance":{
70
+ "ents_f":0.9270252542,
71
+ "ents_p":0.9265694149,
72
+ "ents_r":0.9274815422,
73
  "ents_per_type":{
74
+ "PROCESSOR":{
75
+ "p":0.9501039501,
76
+ "r":0.9461697723,
77
+ "f":0.9481327801
78
  },
79
+ "MODEL_IDENTIFIER":{
80
+ "p":0.8823529412,
81
+ "r":0.8835616438,
82
+ "f":0.8829568789
83
  },
84
+ "PRODUCT_TYPE":{
85
+ "p":0.9512578616,
86
+ "r":0.9336419753,
87
+ "f":0.9423676012
88
  },
89
+ "MISC":{
90
+ "p":0.8630609896,
91
+ "r":0.8949880668,
92
+ "f":0.8787346221
93
  },
94
+ "BRAND":{
95
+ "p":0.9771689498,
96
+ "r":0.9553571429,
97
+ "f":0.9661399549
98
  },
99
+ "DISPLAY":{
100
+ "p":0.9221052632,
101
+ "r":0.9221052632,
102
+ "f":0.9221052632
103
  },
104
+ "TECH_FEATURE":{
105
+ "p":0.9501133787,
106
+ "r":0.9676674365,
107
+ "f":0.9588100686
108
  },
109
+ "MEMORY":{
110
+ "p":0.9727520436,
111
+ "r":0.9648648649,
112
+ "f":0.9687924016
113
  },
114
  "COLOR":{
115
+ "p":0.8944281525,
116
+ "r":0.9355828221,
117
+ "f":0.9145427286
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
  },
119
+ "GENDER":{
120
+ "p":0.9556650246,
121
+ "r":0.9897959184,
122
+ "f":0.9724310777
 
 
 
 
 
 
 
 
 
 
123
  },
124
+ "STYLE_FIT":{
125
+ "p":0.7980769231,
126
+ "r":0.6974789916,
127
+ "f":0.7443946188
128
  },
129
+ "SIZE_MEASUREMENT":{
130
+ "p":0.9571045576,
131
+ "r":0.937007874,
132
+ "f":0.9469496021
133
  },
134
  "MATERIAL":{
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
135
  "p":0.7857142857,
136
  "r":0.8148148148,
137
  "f":0.8
138
+ }
139
+ },
140
+ "cats_score":0.9818488826,
141
+ "cats_score_desc":"macro F",
142
+ "cats_micro_p":0.9833759591,
143
+ "cats_micro_r":0.9833759591,
144
+ "cats_micro_f":0.9833759591,
145
+ "cats_macro_p":0.981702007,
146
+ "cats_macro_r":0.9831343403,
147
+ "cats_macro_f":0.9818488826,
148
+ "cats_macro_auc":0.9979946835,
149
+ "cats_f_per_type":{
150
+ "292":{
151
+ "p":0.987012987,
152
+ "r":1.0,
153
+ "f":0.9934640523
154
  },
155
+ "325":{
156
+ "p":0.9855072464,
157
+ "r":0.9315068493,
158
+ "f":0.9577464789
 
 
 
 
 
159
  },
160
+ "328":{
161
+ "p":0.962406015,
162
+ "r":0.9846153846,
163
+ "f":0.9733840304
164
  },
165
+ "297":{
166
  "p":1.0,
167
+ "r":1.0,
168
+ "f":1.0
169
  },
170
+ "4745":{
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
171
  "p":1.0,
172
  "r":1.0,
173
  "f":1.0
174
  },
175
+ "267":{
176
  "p":1.0,
177
  "r":1.0,
178
  "f":1.0
179
  },
180
  "204":{
181
+ "p":1.0,
182
+ "r":0.9189189189,
183
+ "f":0.9577464789
184
  },
185
  "207":{
186
+ "p":0.9677419355,
187
+ "r":1.0,
188
  "f":0.9836065574
189
  },
190
+ "2331":{
191
+ "p":1.0,
192
+ "r":0.962962963,
193
+ "f":0.9811320755
194
+ },
195
  "211":{
196
  "p":1.0,
197
  "r":1.0,
198
  "f":1.0
199
  },
200
  "212":{
201
+ "p":0.989010989,
202
+ "r":0.989010989,
203
+ "f":0.989010989
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
204
  },
205
+ "6228":{
 
 
 
 
 
206
  "p":1.0,
207
  "r":1.0,
208
  "f":1.0
209
  },
210
+ "187":{
211
  "p":1.0,
212
+ "r":0.96,
213
+ "f":0.9795918367
 
 
 
 
 
214
  },
215
  "5598":{
216
+ "p":0.8695652174,
217
+ "r":1.0,
218
+ "f":0.9302325581
219
  },
220
+ "2271":{
221
+ "p":0.9642857143,
222
  "r":1.0,
223
+ "f":0.9818181818
224
  }
225
  },
226
+ "tok2vec_loss":295356.9933269802,
227
+ "ner_loss":2676.5165451882,
228
+ "textcat_loss":0.0326477174
229
  },
230
  "requirements":[
231
 
ner/model CHANGED
Binary files a/ner/model and b/ner/model differ
 
ner/moves CHANGED
@@ -1 +1 @@
1
- ��moves��{"0":{},"1":{"TYPE":2422,"SIZE":2022,"TAG":1970,"BRAND":1593,"MEASUREMENT":1530,"GENDER":1208,"COLOR":810,"AGE":592,"MEASUREMENT_AREA":484,"PROCESSOR":448,"PRODUCT_SERIES":391,"STORAGE":336,"MATERIAL":308,"GRAPHICS":308,"SCREEN_SIZE":294,"RAM":230,"FIT":221,"SLEEVE":185,"DECORATION":180,"RESOLUTION":125,"NECKLINE":122,"OPERATING_SYSTEM":109,"STORAGE_TYPE":104,"CAPACITY":101,"MODEL_NUMBER":99,"ZIP":72,"PROCESSOR_MODEL":69,"LENGTH":67,"CORE_COUNT":59,"MODEL":55,"FEATURE":43,"SCREEN_TYPE":40,"GRAPHICS_RAM":30,"CLOCK_SPEED":27,"GEN":8,"PATTERN":2},"2":{"TYPE":2422,"SIZE":2022,"TAG":1970,"BRAND":1593,"MEASUREMENT":1530,"GENDER":1208,"COLOR":810,"AGE":592,"MEASUREMENT_AREA":484,"PROCESSOR":448,"PRODUCT_SERIES":391,"STORAGE":336,"MATERIAL":308,"GRAPHICS":308,"SCREEN_SIZE":294,"RAM":230,"FIT":221,"SLEEVE":185,"DECORATION":180,"RESOLUTION":125,"NECKLINE":122,"OPERATING_SYSTEM":109,"STORAGE_TYPE":104,"CAPACITY":101,"MODEL_NUMBER":99,"ZIP":72,"PROCESSOR_MODEL":69,"LENGTH":67,"CORE_COUNT":59,"MODEL":55,"FEATURE":43,"SCREEN_TYPE":40,"GRAPHICS_RAM":30,"CLOCK_SPEED":27,"GEN":8,"PATTERN":2},"3":{"TYPE":2422,"SIZE":2022,"TAG":1970,"BRAND":1593,"MEASUREMENT":1530,"GENDER":1208,"COLOR":810,"AGE":592,"MEASUREMENT_AREA":484,"PROCESSOR":448,"PRODUCT_SERIES":391,"STORAGE":336,"MATERIAL":308,"GRAPHICS":308,"SCREEN_SIZE":294,"RAM":230,"FIT":221,"SLEEVE":185,"DECORATION":180,"RESOLUTION":125,"NECKLINE":122,"OPERATING_SYSTEM":109,"STORAGE_TYPE":104,"CAPACITY":101,"MODEL_NUMBER":99,"ZIP":72,"PROCESSOR_MODEL":69,"LENGTH":67,"CORE_COUNT":59,"MODEL":55,"FEATURE":43,"SCREEN_TYPE":40,"GRAPHICS_RAM":30,"CLOCK_SPEED":27,"GEN":8,"PATTERN":2},"4":{"TYPE":2422,"SIZE":2022,"TAG":1970,"BRAND":1593,"MEASUREMENT":1530,"GENDER":1208,"COLOR":810,"AGE":592,"MEASUREMENT_AREA":484,"PROCESSOR":448,"PRODUCT_SERIES":391,"STORAGE":336,"MATERIAL":308,"GRAPHICS":308,"SCREEN_SIZE":294,"RAM":230,"FIT":221,"SLEEVE":185,"DECORATION":180,"RESOLUTION":125,"NECKLINE":122,"OPERATING_SYSTEM":109,"STORAGE_TYPE":104,"CAPACITY":101,"MODEL_NUMBER":99,"ZIP":72,"PROCESSOR_MODEL":69,"LENGTH":67,"CORE_COUNT":59,"MODEL":55,"FEATURE":43,"SCREEN_TYPE":40,"GRAPHICS_RAM":30,"CLOCK_SPEED":27,"GEN":8,"PATTERN":2,"":1},"5":{"":1}}�cfg��neg_key�
 
1
+ ��moves��{"0":{},"1":{"MISC":5117,"PROCESSOR":4961,"MODEL_IDENTIFIER":4872,"TECH_FEATURE":4716,"MEMORY":4489,"PRODUCT_TYPE":4059,"DISPLAY":2938,"BRAND":2919,"SIZE_MEASUREMENT":2404,"COLOR":1448,"GENDER":829,"STYLE_FIT":704,"MATERIAL":277,"SEASON":1},"2":{"MISC":5117,"PROCESSOR":4961,"MODEL_IDENTIFIER":4872,"TECH_FEATURE":4716,"MEMORY":4489,"PRODUCT_TYPE":4059,"DISPLAY":2938,"BRAND":2919,"SIZE_MEASUREMENT":2404,"COLOR":1448,"GENDER":829,"STYLE_FIT":704,"MATERIAL":277,"SEASON":1},"3":{"MISC":5117,"PROCESSOR":4961,"MODEL_IDENTIFIER":4872,"TECH_FEATURE":4716,"MEMORY":4489,"PRODUCT_TYPE":4059,"DISPLAY":2938,"BRAND":2919,"SIZE_MEASUREMENT":2404,"COLOR":1448,"GENDER":829,"STYLE_FIT":704,"MATERIAL":277,"SEASON":1},"4":{"MISC":5117,"PROCESSOR":4961,"MODEL_IDENTIFIER":4872,"TECH_FEATURE":4716,"MEMORY":4489,"PRODUCT_TYPE":4059,"DISPLAY":2938,"BRAND":2919,"SIZE_MEASUREMENT":2404,"COLOR":1448,"GENDER":829,"STYLE_FIT":704,"MATERIAL":277,"SEASON":1,"":1},"5":{"":1}}�cfg��neg_key�
textcat/cfg CHANGED
@@ -1,20 +1,20 @@
1
  {
2
  "labels":[
3
- "100",
4
- "187",
 
 
 
 
5
  "204",
6
  "207",
 
7
  "211",
8
  "212",
9
- "267",
10
- "325",
11
- "328",
12
- "2271",
13
- "2331",
14
- "5250",
15
- "5424",
16
  "5598",
17
- "6228"
18
  ],
19
  "threshold":0.0,
20
  "positive_label":null
 
1
  {
2
  "labels":[
3
+ "292",
4
+ "325",
5
+ "328",
6
+ "297",
7
+ "4745",
8
+ "267",
9
  "204",
10
  "207",
11
+ "2331",
12
  "211",
13
  "212",
14
+ "6228",
15
+ "187",
 
 
 
 
 
16
  "5598",
17
+ "2271"
18
  ],
19
  "threshold":0.0,
20
  "positive_label":null
textcat/model CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:19e2ab48979045e0f8ecaf552e4f89c00b9e19e016f2da12190f5ecb1febfc7c
3
  size 16540172
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98935af7512b9be5f0cbc42759a0ec49b34f86a3b268883a467a920c249287d4
3
  size 16540172
tok2vec/model CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:451417c14c7ac9f6e2a889310733b3e03711c87b5b82a905de2965922ff01994
3
  size 34434008
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24c843358be8357a4311eda83573453135dcc4576cce0ad0ec1d6a0aec81d534
3
  size 34434008
vocab/strings.json CHANGED
The diff for this file is too large to render. See raw diff