SuGoat commited on
Commit
31fbd1f
·
verified ·
1 Parent(s): 908707c

Add camembert PCG model

Browse files
README.md CHANGED
@@ -20,14 +20,14 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 5.8545
24
- - Accuracy: 0.0190
25
- - Top3 Accuracy: 0.0258
26
- - Top5 Accuracy: 0.0426
27
- - Precision: 0.0004
28
- - Recall: 0.0190
29
- - F1 Weighted: 0.0007
30
- - F1 Macro: 0.0001
31
 
32
  ## Model description
33
 
@@ -60,18 +60,33 @@ The following hyperparameters were used during training:
60
 
61
  ### Training results
62
 
63
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Top3 Accuracy | Top5 Accuracy | Precision | Recall | F1 Weighted | F1 Macro |
64
- |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:-------------:|:---------:|:------:|:-----------:|:--------:|
65
- | 11.7871 | 0.0035 | 100 | 5.8966 | 0.0009 | 0.0185 | 0.0199 | 0.0001 | 0.0009 | 0.0002 | 0.0000 |
66
- | 11.7889 | 0.0070 | 200 | 5.8956 | 0.0012 | 0.0189 | 0.0202 | 0.0001 | 0.0012 | 0.0003 | 0.0000 |
67
- | 11.7890 | 0.0106 | 300 | 5.8932 | 0.0027 | 0.0192 | 0.0213 | 0.0002 | 0.0027 | 0.0004 | 0.0001 |
68
- | 11.7868 | 0.0141 | 400 | 5.8905 | 0.0052 | 0.0194 | 0.0238 | 0.0003 | 0.0052 | 0.0005 | 0.0001 |
69
- | 11.7813 | 0.0176 | 500 | 5.8868 | 0.0100 | 0.0201 | 0.0248 | 0.0006 | 0.0100 | 0.0007 | 0.0002 |
70
- | 11.7618 | 0.0211 | 600 | 5.8820 | 0.0167 | 0.0204 | 0.0247 | 0.0004 | 0.0167 | 0.0007 | 0.0001 |
71
- | 11.7506 | 0.0246 | 700 | 5.8762 | 0.0184 | 0.0221 | 0.0274 | 0.0004 | 0.0184 | 0.0007 | 0.0002 |
72
- | 11.7522 | 0.0281 | 800 | 5.8695 | 0.0190 | 0.0225 | 0.0321 | 0.0004 | 0.0190 | 0.0008 | 0.0002 |
73
- | 11.7451 | 0.0317 | 900 | 5.8624 | 0.0190 | 0.0234 | 0.0356 | 0.0004 | 0.0190 | 0.0007 | 0.0001 |
74
- | 11.7221 | 0.0352 | 1000 | 5.8545 | 0.0190 | 0.0258 | 0.0426 | 0.0004 | 0.0190 | 0.0007 | 0.0001 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75
 
76
 
77
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.9741
24
+ - Accuracy: 0.5529
25
+ - Top3 Accuracy: 0.7549
26
+ - Top5 Accuracy: 0.8285
27
+ - Precision: 0.5827
28
+ - Recall: 0.5529
29
+ - F1 Weighted: 0.5500
30
+ - F1 Macro: 0.3164
31
 
32
  ## Model description
33
 
 
60
 
61
  ### Training results
62
 
63
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Top3 Accuracy | Top5 Accuracy | Precision | Recall | F1 Weighted | F1 Macro |
64
+ |:-------------:|:------:|:------:|:---------------:|:--------:|:-------------:|:-------------:|:---------:|:------:|:-----------:|:--------:|
65
+ | 10.4836 | 0.2000 | 5685 | 5.0665 | 0.1127 | 0.2548 | 0.3753 | 0.0669 | 0.1127 | 0.0599 | 0.0173 |
66
+ | 8.4373 | 0.4000 | 11370 | 4.0622 | 0.3031 | 0.4722 | 0.5786 | 0.2701 | 0.3031 | 0.2376 | 0.0689 |
67
+ | 7.1056 | 0.5999 | 17055 | 3.5299 | 0.3624 | 0.5438 | 0.6517 | 0.3858 | 0.3624 | 0.3307 | 0.1013 |
68
+ | 6.4190 | 0.7999 | 22740 | 3.1918 | 0.3942 | 0.5826 | 0.6804 | 0.4443 | 0.3942 | 0.3790 | 0.1313 |
69
+ | 6.0150 | 0.9999 | 28425 | 2.9816 | 0.4022 | 0.6066 | 0.7010 | 0.4656 | 0.4022 | 0.3937 | 0.1473 |
70
+ | 5.5633 | 1.1999 | 34110 | 2.7845 | 0.4255 | 0.6289 | 0.7215 | 0.4763 | 0.4255 | 0.4210 | 0.1830 |
71
+ | 5.3629 | 1.3999 | 39795 | 2.6584 | 0.4417 | 0.6436 | 0.7366 | 0.4848 | 0.4417 | 0.4327 | 0.1989 |
72
+ | 5.1547 | 1.5998 | 45480 | 2.5266 | 0.4505 | 0.6605 | 0.7506 | 0.5006 | 0.4505 | 0.4441 | 0.2065 |
73
+ | 4.8821 | 1.7998 | 51165 | 2.4337 | 0.4646 | 0.6726 | 0.7618 | 0.5107 | 0.4646 | 0.4597 | 0.2182 |
74
+ | 4.8468 | 1.9998 | 56850 | 2.3580 | 0.4751 | 0.6825 | 0.7700 | 0.5255 | 0.4751 | 0.4705 | 0.2366 |
75
+ | 4.5083 | 2.1998 | 62535 | 2.3354 | 0.4872 | 0.6988 | 0.7844 | 0.5255 | 0.4872 | 0.4839 | 0.2488 |
76
+ | 4.3747 | 2.3998 | 68220 | 2.2397 | 0.4968 | 0.7037 | 0.7875 | 0.5416 | 0.4968 | 0.4955 | 0.2542 |
77
+ | 4.3334 | 2.5997 | 73905 | 2.2009 | 0.5124 | 0.7196 | 0.7999 | 0.5468 | 0.5124 | 0.5076 | 0.2679 |
78
+ | 4.3103 | 2.7997 | 79590 | 2.1654 | 0.5165 | 0.7254 | 0.8035 | 0.5578 | 0.5165 | 0.5118 | 0.2719 |
79
+ | 4.1306 | 2.9997 | 85275 | 2.1243 | 0.529 | 0.7327 | 0.8120 | 0.5584 | 0.529 | 0.5244 | 0.2871 |
80
+ | 3.8964 | 3.1997 | 90960 | 2.0769 | 0.5324 | 0.7378 | 0.8155 | 0.5664 | 0.5324 | 0.5295 | 0.3021 |
81
+ | 3.9158 | 3.3996 | 96645 | 2.0659 | 0.5306 | 0.7429 | 0.8186 | 0.5684 | 0.5306 | 0.5301 | 0.2978 |
82
+ | 3.7772 | 3.5996 | 102330 | 2.0397 | 0.5421 | 0.7443 | 0.8209 | 0.5725 | 0.5421 | 0.5381 | 0.3020 |
83
+ | 3.8012 | 3.7996 | 108015 | 2.0179 | 0.5422 | 0.7487 | 0.8231 | 0.5769 | 0.5422 | 0.5408 | 0.3028 |
84
+ | 3.7211 | 3.9996 | 113700 | 2.0004 | 0.5481 | 0.7525 | 0.8265 | 0.5791 | 0.5481 | 0.5448 | 0.3097 |
85
+ | 3.5257 | 4.1996 | 119385 | 1.9928 | 0.5482 | 0.7527 | 0.8268 | 0.5821 | 0.5482 | 0.5466 | 0.3095 |
86
+ | 3.5389 | 4.3995 | 125070 | 1.9911 | 0.5499 | 0.7541 | 0.8279 | 0.5807 | 0.5499 | 0.5470 | 0.3101 |
87
+ | 3.6145 | 4.5995 | 130755 | 1.9784 | 0.5515 | 0.7541 | 0.828 | 0.5811 | 0.5515 | 0.5488 | 0.3141 |
88
+ | 3.6517 | 4.7995 | 136440 | 1.9743 | 0.5529 | 0.7549 | 0.8287 | 0.5826 | 0.5529 | 0.5500 | 0.3170 |
89
+ | 3.5229 | 4.9995 | 142125 | 1.9741 | 0.5529 | 0.7549 | 0.8285 | 0.5827 | 0.5529 | 0.5500 | 0.3164 |
90
 
91
 
92
  ### Framework versions
final/classification_report.json CHANGED
@@ -1,32 +1,32 @@
1
  {
2
  "100": {
3
- "precision": 0.0,
4
- "recall": 0.0,
5
- "f1-score": 0.0,
6
  "support": 7.0
7
  },
8
  "101": {
9
- "precision": 0.0,
10
- "recall": 0.0,
11
- "f1-score": 0.0,
12
  "support": 206.0
13
  },
14
  "108": {
15
- "precision": 0.0,
16
- "recall": 0.0,
17
- "f1-score": 0.0,
18
  "support": 938.0
19
  },
20
  "109": {
21
- "precision": 0.0,
22
- "recall": 0.0,
23
- "f1-score": 0.0,
24
  "support": 8.0
25
  },
26
  "120": {
27
- "precision": 0.0,
28
- "recall": 0.0,
29
- "f1-score": 0.0,
30
  "support": 1.0
31
  },
32
  "140": {
@@ -36,9 +36,9 @@
36
  "support": 1.0
37
  },
38
  "160": {
39
- "precision": 0.0,
40
- "recall": 0.0,
41
- "f1-score": 0.0,
42
  "support": 10.0
43
  },
44
  "161": {
@@ -48,15 +48,15 @@
48
  "support": 1.0
49
  },
50
  "164": {
51
- "precision": 0.0,
52
- "recall": 0.0,
53
- "f1-score": 0.0,
54
  "support": 978.0
55
  },
56
  "165": {
57
- "precision": 0.0,
58
- "recall": 0.0,
59
- "f1-score": 0.0,
60
  "support": 15.0
61
  },
62
  "167": {
@@ -66,39 +66,39 @@
66
  "support": 1.0
67
  },
68
  "168": {
69
- "precision": 0.0,
70
- "recall": 0.0,
71
- "f1-score": 0.0,
72
  "support": 14.0
73
  },
74
  "171": {
75
- "precision": 0.0,
76
- "recall": 0.0,
77
- "f1-score": 0.0,
78
  "support": 1.0
79
  },
80
  "178": {
81
- "precision": 0.0,
82
- "recall": 0.0,
83
- "f1-score": 0.0,
84
  "support": 1.0
85
  },
86
  "180": {
87
- "precision": 0.0,
88
- "recall": 0.0,
89
- "f1-score": 0.0,
90
  "support": 10.0
91
  },
92
  "181": {
93
- "precision": 0.0,
94
- "recall": 0.0,
95
- "f1-score": 0.0,
96
  "support": 5.0
97
  },
98
  "190": {
99
- "precision": 0.0,
100
- "recall": 0.0,
101
- "f1-score": 0.0,
102
  "support": 4.0
103
  },
104
  "200": {
@@ -108,9 +108,9 @@
108
  "support": 3.0
109
  },
110
  "205": {
111
- "precision": 0.0,
112
- "recall": 0.0,
113
- "f1-score": 0.0,
114
  "support": 6.0
115
  },
116
  "208": {
@@ -120,9 +120,9 @@
120
  "support": 1.0
121
  },
122
  "210": {
123
- "precision": 0.0,
124
- "recall": 0.0,
125
- "f1-score": 0.0,
126
  "support": 1.0
127
  },
128
  "213": {
@@ -138,15 +138,15 @@
138
  "support": 4.0
139
  },
140
  "218": {
141
- "precision": 0.0,
142
- "recall": 0.0,
143
- "f1-score": 0.0,
144
  "support": 254.0
145
  },
146
  "230": {
147
- "precision": 0.0,
148
- "recall": 0.0,
149
- "f1-score": 0.0,
150
  "support": 1.0
151
  },
152
  "231": {
@@ -162,15 +162,15 @@
162
  "support": 1.0
163
  },
164
  "261": {
165
- "precision": 0.0,
166
- "recall": 0.0,
167
- "f1-score": 0.0,
168
  "support": 8.0
169
  },
170
  "267": {
171
- "precision": 0.0,
172
- "recall": 0.0,
173
- "f1-score": 0.0,
174
  "support": 15.0
175
  },
176
  "268": {
@@ -180,9 +180,9 @@
180
  "support": 2.0
181
  },
182
  "271": {
183
- "precision": 0.0,
184
- "recall": 0.0,
185
- "f1-score": 0.0,
186
  "support": 7.0
187
  },
188
  "272": {
@@ -192,27 +192,33 @@
192
  "support": 1.0
193
  },
194
  "274": {
195
- "precision": 0.0,
196
- "recall": 0.0,
197
- "f1-score": 0.0,
198
  "support": 4.0
199
  },
200
  "275": {
201
- "precision": 0.0,
202
- "recall": 0.0,
203
- "f1-score": 0.0,
204
  "support": 2.0
205
  },
206
- "300": {
207
  "precision": 0.0,
208
  "recall": 0.0,
209
  "f1-score": 0.0,
 
 
 
 
 
 
210
  "support": 3.0
211
  },
212
  "301": {
213
- "precision": 0.0,
214
- "recall": 0.0,
215
- "f1-score": 0.0,
216
  "support": 1.0
217
  },
218
  "311": {
@@ -222,69 +228,69 @@
222
  "support": 1.0
223
  },
224
  "400": {
225
- "precision": 0.0,
226
- "recall": 0.0,
227
- "f1-score": 0.0,
228
  "support": 2.0
229
  },
230
  "401": {
231
- "precision": 0.0,
232
- "recall": 0.0,
233
- "f1-score": 0.0,
234
  "support": 990.0
235
  },
236
  "402": {
237
- "precision": 0.0,
238
- "recall": 0.0,
239
- "f1-score": 0.0,
240
  "support": 16.0
241
  },
242
  "403": {
243
- "precision": 0.0,
244
- "recall": 0.0,
245
- "f1-score": 0.0,
246
  "support": 20.0
247
  },
248
  "404": {
249
- "precision": 0.0,
250
- "recall": 0.0,
251
- "f1-score": 0.0,
252
  "support": 8.0
253
  },
254
  "405": {
255
- "precision": 0.0,
256
- "recall": 0.0,
257
- "f1-score": 0.0,
258
  "support": 2.0
259
  },
260
  "409": {
261
- "precision": 0.0,
262
- "recall": 0.0,
263
- "f1-score": 0.0,
264
  "support": 13.0
265
  },
266
  "410": {
267
- "precision": 0.0,
268
- "recall": 0.0,
269
- "f1-score": 0.0,
270
  "support": 17.0
271
  },
272
  "411": {
273
- "precision": 0.0,
274
- "recall": 0.0,
275
- "f1-score": 0.0,
276
  "support": 962.0
277
  },
278
  "412": {
279
- "precision": 0.0,
280
- "recall": 0.0,
281
- "f1-score": 0.0,
282
  "support": 10.0
283
  },
284
  "413": {
285
- "precision": 0.0,
286
- "recall": 0.0,
287
- "f1-score": 0.0,
288
  "support": 6.0
289
  },
290
  "416": {
@@ -294,27 +300,27 @@
294
  "support": 1.0
295
  },
296
  "419": {
297
- "precision": 0.0,
298
- "recall": 0.0,
299
- "f1-score": 0.0,
300
  "support": 19.0
301
  },
302
  "421": {
303
- "precision": 0.0,
304
- "recall": 0.0,
305
- "f1-score": 0.0,
306
  "support": 933.0
307
  },
308
  "425": {
309
- "precision": 0.0,
310
- "recall": 0.0,
311
- "f1-score": 0.0,
312
  "support": 21.0
313
  },
314
  "427": {
315
- "precision": 0.0,
316
- "recall": 0.0,
317
- "f1-score": 0.0,
318
  "support": 4.0
319
  },
320
  "428": {
@@ -324,15 +330,15 @@
324
  "support": 2.0
325
  },
326
  "431": {
327
- "precision": 0.0,
328
- "recall": 0.0,
329
- "f1-score": 0.0,
330
  "support": 1004.0
331
  },
332
  "432": {
333
- "precision": 0.0,
334
- "recall": 0.0,
335
- "f1-score": 0.0,
336
  "support": 3.0
337
  },
338
  "433": {
@@ -348,27 +354,27 @@
348
  "support": 2.0
349
  },
350
  "436": {
351
- "precision": 0.0,
352
- "recall": 0.0,
353
- "f1-score": 0.0,
354
  "support": 49.0
355
  },
356
  "437": {
357
- "precision": 0.0,
358
- "recall": 0.0,
359
- "f1-score": 0.0,
360
  "support": 965.0
361
  },
362
  "438": {
363
- "precision": 0.0,
364
- "recall": 0.0,
365
- "f1-score": 0.0,
366
  "support": 138.0
367
  },
368
  "439": {
369
- "precision": 0.0,
370
- "recall": 0.0,
371
- "f1-score": 0.0,
372
  "support": 7.0
373
  },
374
  "441": {
@@ -378,39 +384,39 @@
378
  "support": 2.0
379
  },
380
  "442": {
381
- "precision": 0.0,
382
- "recall": 0.0,
383
- "f1-score": 0.0,
384
  "support": 979.0
385
  },
386
  "444": {
387
- "precision": 0.0,
388
- "recall": 0.0,
389
- "f1-score": 0.0,
390
  "support": 770.0
391
  },
392
  "445": {
393
- "precision": 0.0,
394
- "recall": 0.0,
395
- "f1-score": 0.0,
396
  "support": 988.0
397
  },
398
  "447": {
399
- "precision": 0.0,
400
- "recall": 0.0,
401
- "f1-score": 0.0,
402
  "support": 31.0
403
  },
404
  "448": {
405
- "precision": 0.0,
406
- "recall": 0.0,
407
- "f1-score": 0.0,
408
  "support": 17.0
409
  },
410
  "451": {
411
- "precision": 0.0,
412
- "recall": 0.0,
413
- "f1-score": 0.0,
414
  "support": 134.0
415
  },
416
  "452": {
@@ -420,39 +426,39 @@
420
  "support": 1.0
421
  },
422
  "455": {
423
- "precision": 0.0,
424
- "recall": 0.0,
425
- "f1-score": 0.0,
426
  "support": 940.0
427
  },
428
  "456": {
429
- "precision": 0.0,
430
- "recall": 0.0,
431
- "f1-score": 0.0,
432
  "support": 2.0
433
  },
434
  "457": {
435
- "precision": 0.0,
436
- "recall": 0.0,
437
- "f1-score": 0.0,
438
  "support": 323.0
439
  },
440
  "458": {
441
- "precision": 0.0,
442
- "recall": 0.0,
443
- "f1-score": 0.0,
444
  "support": 8.0
445
  },
446
  "460": {
447
- "precision": 0.0,
448
- "recall": 0.0,
449
- "f1-score": 0.0,
450
  "support": 29.0
451
  },
452
  "461": {
453
- "precision": 0.0,
454
- "recall": 0.0,
455
- "f1-score": 0.0,
456
  "support": 3.0
457
  },
458
  "462": {
@@ -461,46 +467,52 @@
461
  "f1-score": 0.0,
462
  "support": 1.0
463
  },
464
- "466": {
465
  "precision": 0.0,
466
  "recall": 0.0,
467
  "f1-score": 0.0,
 
 
 
 
 
 
468
  "support": 8.0
469
  },
470
  "467": {
471
- "precision": 0.0,
472
- "recall": 0.0,
473
- "f1-score": 0.0,
474
  "support": 990.0
475
  },
476
  "468": {
477
- "precision": 0.0,
478
- "recall": 0.0,
479
- "f1-score": 0.0,
480
  "support": 109.0
481
  },
482
  "469": {
483
- "precision": 0.0,
484
- "recall": 0.0,
485
- "f1-score": 0.0,
486
  "support": 205.0
487
  },
488
  "470": {
489
- "precision": 0.0,
490
- "recall": 0.0,
491
- "f1-score": 0.0,
492
  "support": 8.0
493
  },
494
  "471": {
495
- "precision": 0.0,
496
- "recall": 0.0,
497
- "f1-score": 0.0,
498
  "support": 958.0
499
  },
500
  "472": {
501
- "precision": 0.0,
502
- "recall": 0.0,
503
- "f1-score": 0.0,
504
  "support": 219.0
505
  },
506
  "473": {
@@ -510,27 +522,27 @@
510
  "support": 2.0
511
  },
512
  "474": {
513
- "precision": 0.0,
514
- "recall": 0.0,
515
- "f1-score": 0.0,
516
  "support": 3.0
517
  },
518
  "475": {
519
- "precision": 0.0,
520
- "recall": 0.0,
521
- "f1-score": 0.0,
522
  "support": 7.0
523
  },
524
  "478": {
525
- "precision": 0.0,
526
- "recall": 0.0,
527
- "f1-score": 0.0,
528
  "support": 37.0
529
  },
530
  "503": {
531
- "precision": 0.0,
532
- "recall": 0.0,
533
- "f1-score": 0.0,
534
  "support": 163.0
535
  },
536
  "506": {
@@ -546,9 +558,9 @@
546
  "support": 1.0
547
  },
548
  "508": {
549
- "precision": 0.0,
550
- "recall": 0.0,
551
- "f1-score": 0.0,
552
  "support": 479.0
553
  },
554
  "510": {
@@ -558,15 +570,15 @@
558
  "support": 1.0
559
  },
560
  "511": {
561
- "precision": 0.0,
562
- "recall": 0.0,
563
- "f1-score": 0.0,
564
  "support": 915.0
565
  },
566
  "512": {
567
- "precision": 0.0,
568
- "recall": 0.0,
569
- "f1-score": 0.0,
570
  "support": 927.0
571
  },
572
  "513": {
@@ -576,9 +588,9 @@
576
  "support": 1.0
577
  },
578
  "514": {
579
- "precision": 0.0,
580
- "recall": 0.0,
581
- "f1-score": 0.0,
582
  "support": 5.0
583
  },
584
  "516": {
@@ -588,9 +600,9 @@
588
  "support": 1.0
589
  },
590
  "517": {
591
- "precision": 0.0,
592
- "recall": 0.0,
593
- "f1-score": 0.0,
594
  "support": 15.0
595
  },
596
  "518": {
@@ -600,9 +612,9 @@
600
  "support": 1.0
601
  },
602
  "519": {
603
- "precision": 0.0,
604
- "recall": 0.0,
605
- "f1-score": 0.0,
606
  "support": 6.0
607
  },
608
  "520": {
@@ -612,27 +624,27 @@
612
  "support": 2.0
613
  },
614
  "522": {
615
- "precision": 0.0,
616
- "recall": 0.0,
617
- "f1-score": 0.0,
618
  "support": 3.0
619
  },
620
  "530": {
621
- "precision": 0.0,
622
- "recall": 0.0,
623
- "f1-score": 0.0,
624
  "support": 559.0
625
  },
626
  "531": {
627
- "precision": 0.0,
628
- "recall": 0.0,
629
- "f1-score": 0.0,
630
  "support": 315.0
631
  },
632
  "532": {
633
- "precision": 0.0,
634
- "recall": 0.0,
635
- "f1-score": 0.0,
636
  "support": 3.0
637
  },
638
  "534": {
@@ -642,93 +654,99 @@
642
  "support": 1.0
643
  },
644
  "535": {
645
- "precision": 0.0,
646
- "recall": 0.0,
647
- "f1-score": 0.0,
648
  "support": 6.0
649
  },
650
  "540": {
651
- "precision": 0.0,
652
- "recall": 0.0,
653
- "f1-score": 0.0,
654
  "support": 5.0
655
  },
656
  "545": {
657
- "precision": 0.0,
658
- "recall": 0.0,
659
- "f1-score": 0.0,
660
  "support": 9.0
661
  },
662
  "580": {
663
- "precision": 0.0,
664
- "recall": 0.0,
665
- "f1-score": 0.0,
666
  "support": 968.0
667
  },
668
  "581": {
669
- "precision": 0.0,
670
- "recall": 0.0,
671
- "f1-score": 0.0,
672
  "support": 928.0
673
  },
674
  "582": {
675
- "precision": 0.0,
676
- "recall": 0.0,
677
- "f1-score": 0.0,
678
  "support": 952.0
679
  },
680
  "583": {
681
- "precision": 0.0,
682
- "recall": 0.0,
683
- "f1-score": 0.0,
684
  "support": 923.0
685
  },
686
  "584": {
687
- "precision": 0.0,
688
- "recall": 0.0,
689
- "f1-score": 0.0,
690
  "support": 555.0
691
  },
692
  "585": {
693
- "precision": 0.0,
694
- "recall": 0.0,
695
- "f1-score": 0.0,
696
  "support": 225.0
697
  },
698
  "586": {
699
- "precision": 0.0,
700
- "recall": 0.0,
701
- "f1-score": 0.0,
702
  "support": 96.0
703
  },
704
  "587": {
705
- "precision": 0.0,
706
- "recall": 0.0,
707
- "f1-score": 0.0,
708
  "support": 38.0
709
  },
710
  "588": {
711
- "precision": 0.0,
712
- "recall": 0.0,
713
- "f1-score": 0.0,
714
  "support": 47.0
715
  },
716
  "589": {
717
- "precision": 0.0,
718
- "recall": 0.0,
719
- "f1-score": 0.0,
720
  "support": 43.0
721
  },
722
- "601": {
723
  "precision": 0.0,
724
  "recall": 0.0,
725
  "f1-score": 0.0,
 
 
 
 
 
 
726
  "support": 936.0
727
  },
728
  "602": {
729
- "precision": 0.0,
730
- "recall": 0.0,
731
- "f1-score": 0.0,
732
  "support": 460.0
733
  },
734
  "603": {
@@ -738,33 +756,33 @@
738
  "support": 2.0
739
  },
740
  "604": {
741
- "precision": 0.0,
742
- "recall": 0.0,
743
- "f1-score": 0.0,
744
  "support": 965.0
745
  },
746
  "605": {
747
- "precision": 0.0,
748
- "recall": 0.0,
749
- "f1-score": 0.0,
750
  "support": 112.0
751
  },
752
  "606": {
753
- "precision": 0.0,
754
- "recall": 0.0,
755
- "f1-score": 0.0,
756
  "support": 1008.0
757
  },
758
  "607": {
759
- "precision": 0.0,
760
- "recall": 0.0,
761
- "f1-score": 0.0,
762
  "support": 873.0
763
  },
764
  "608": {
765
- "precision": 0.0,
766
- "recall": 0.0,
767
- "f1-score": 0.0,
768
  "support": 19.0
769
  },
770
  "609": {
@@ -780,129 +798,129 @@
780
  "support": 1.0
781
  },
782
  "611": {
783
- "precision": 0.0,
784
- "recall": 0.0,
785
- "f1-score": 0.0,
786
  "support": 201.0
787
  },
788
  "612": {
789
- "precision": 0.0,
790
- "recall": 0.0,
791
- "f1-score": 0.0,
792
  "support": 951.0
793
  },
794
  "613": {
795
- "precision": 0.0,
796
- "recall": 0.0,
797
- "f1-score": 0.0,
798
  "support": 929.0
799
  },
800
  "614": {
801
- "precision": 0.0,
802
- "recall": 0.0,
803
- "f1-score": 0.0,
804
  "support": 95.0
805
  },
806
  "615": {
807
- "precision": 0.0,
808
- "recall": 0.0,
809
- "f1-score": 0.0,
810
  "support": 960.0
811
  },
812
  "616": {
813
- "precision": 0.0,
814
- "recall": 0.0,
815
- "f1-score": 0.0,
816
  "support": 976.0
817
- },
818
- "617": {
819
- "precision": 0.0,
820
- "recall": 0.0,
821
- "f1-score": 0.0,
822
  "support": 183.0
823
  },
824
  "618": {
825
- "precision": 0.0,
826
- "recall": 0.0,
827
- "f1-score": 0.0,
828
  "support": 612.0
829
  },
830
  "620": {
831
- "precision": 0.0,
832
- "recall": 0.0,
833
- "f1-score": 0.0,
834
  "support": 3.0
835
  },
836
  "621": {
837
- "precision": 0.0,
838
- "recall": 0.0,
839
- "f1-score": 0.0,
840
  "support": 42.0
841
  },
842
  "622": {
843
- "precision": 0.0,
844
- "recall": 0.0,
845
- "f1-score": 0.0,
846
  "support": 970.0
847
  },
848
  "623": {
849
- "precision": 0.0,
850
- "recall": 0.0,
851
- "f1-score": 0.0,
852
  "support": 956.0
853
  },
854
  "624": {
855
- "precision": 0.0,
856
- "recall": 0.0,
857
- "f1-score": 0.0,
858
  "support": 207.0
859
  },
860
  "625": {
861
- "precision": 0.0,
862
- "recall": 0.0,
863
- "f1-score": 0.0,
864
  "support": 964.0
865
  },
866
  "626": {
867
- "precision": 0.0,
868
- "recall": 0.0,
869
- "f1-score": 0.0,
870
  "support": 987.0
871
  },
872
  "627": {
873
- "precision": 0.019112231828370158,
874
- "recall": 0.9989539748953975,
875
- "f1-score": 0.037506872987196606,
876
  "support": 956.0
877
  },
878
  "628": {
879
- "precision": 0.0,
880
- "recall": 0.0,
881
- "f1-score": 0.0,
882
  "support": 610.0
883
  },
884
  "631": {
885
- "precision": 0.0,
886
- "recall": 0.0,
887
- "f1-score": 0.0,
888
  "support": 13.0
889
  },
890
  "633": {
891
- "precision": 0.0,
892
- "recall": 0.0,
893
- "f1-score": 0.0,
894
  "support": 89.0
895
  },
896
  "635": {
897
- "precision": 0.0,
898
- "recall": 0.0,
899
- "f1-score": 0.0,
900
  "support": 945.0
901
  },
902
  "637": {
903
- "precision": 0.0,
904
- "recall": 0.0,
905
- "f1-score": 0.0,
906
  "support": 9.0
907
  },
908
  "638": {
@@ -911,10 +929,16 @@
911
  "f1-score": 0.0,
912
  "support": 1.0
913
  },
914
- "641": {
915
  "precision": 0.0,
916
  "recall": 0.0,
917
  "f1-score": 0.0,
 
 
 
 
 
 
918
  "support": 969.0
919
  },
920
  "642": {
@@ -930,39 +954,39 @@
930
  "support": 1.0
931
  },
932
  "644": {
933
- "precision": 0.0,
934
- "recall": 0.0,
935
- "f1-score": 0.0,
936
  "support": 320.0
937
  },
938
  "645": {
939
- "precision": 0.0,
940
- "recall": 0.0,
941
- "f1-score": 0.0,
942
  "support": 481.0
943
  },
944
  "646": {
945
- "precision": 0.0,
946
- "recall": 0.0,
947
- "f1-score": 0.0,
948
  "support": 958.0
949
  },
950
  "647": {
951
- "precision": 0.0,
952
- "recall": 0.0,
953
- "f1-score": 0.0,
954
  "support": 159.0
955
  },
956
  "648": {
957
- "precision": 0.0,
958
- "recall": 0.0,
959
- "f1-score": 0.0,
960
  "support": 32.0
961
  },
962
  "649": {
963
- "precision": 0.0,
964
- "recall": 0.0,
965
- "f1-score": 0.0,
966
  "support": 16.0
967
  },
968
  "650": {
@@ -972,71 +996,65 @@
972
  "support": 1.0
973
  },
974
  "651": {
975
- "precision": 0.0,
976
- "recall": 0.0,
977
- "f1-score": 0.0,
978
  "support": 299.0
979
  },
980
  "652": {
981
- "precision": 0.0,
982
- "recall": 0.0,
983
- "f1-score": 0.0,
984
  "support": 21.0
985
  },
986
  "653": {
987
- "precision": 0.0,
988
- "recall": 0.0,
989
- "f1-score": 0.0,
990
  "support": 1.0
991
  },
992
  "658": {
993
- "precision": 0.0,
994
- "recall": 0.0,
995
- "f1-score": 0.0,
996
  "support": 122.0
997
  },
998
  "660": {
999
- "precision": 0.0,
1000
- "recall": 0.0,
1001
- "f1-score": 0.0,
1002
  "support": 20.0
1003
  },
1004
  "661": {
1005
- "precision": 0.0,
1006
- "recall": 0.0,
1007
- "f1-score": 0.0,
1008
  "support": 1015.0
1009
  },
1010
  "662": {
1011
- "precision": 0.0,
1012
- "recall": 0.0,
1013
- "f1-score": 0.0,
1014
  "support": 3.0
1015
  },
1016
  "666": {
1017
- "precision": 0.0,
1018
- "recall": 0.0,
1019
- "f1-score": 0.0,
1020
  "support": 12.0
1021
  },
1022
  "668": {
1023
- "precision": 0.0,
1024
- "recall": 0.0,
1025
- "f1-score": 0.0,
1026
  "support": 58.0
1027
  },
1028
  "671": {
1029
- "precision": 0.0,
1030
- "recall": 0.0,
1031
- "f1-score": 0.0,
1032
  "support": 530.0
1033
  },
1034
- "672": {
1035
- "precision": 0.0,
1036
- "recall": 0.0,
1037
- "f1-score": 0.0,
1038
- "support": 0.0
1039
- },
1040
  "678": {
1041
  "precision": 0.0,
1042
  "recall": 0.0,
@@ -1050,63 +1068,63 @@
1050
  "support": 1.0
1051
  },
1052
  "700": {
1053
- "precision": 0.0,
1054
- "recall": 0.0,
1055
- "f1-score": 0.0,
1056
  "support": 30.0
1057
  },
1058
  "701": {
1059
- "precision": 0.0,
1060
- "recall": 0.0,
1061
- "f1-score": 0.0,
1062
  "support": 990.0
1063
  },
1064
  "702": {
1065
- "precision": 0.0,
1066
- "recall": 0.0,
1067
- "f1-score": 0.0,
1068
  "support": 15.0
1069
  },
1070
  "703": {
1071
- "precision": 0.0,
1072
- "recall": 0.0,
1073
- "f1-score": 0.0,
1074
  "support": 45.0
1075
  },
1076
  "704": {
1077
- "precision": 0.0,
1078
- "recall": 0.0,
1079
- "f1-score": 0.0,
1080
  "support": 96.0
1081
  },
1082
  "705": {
1083
- "precision": 0.0,
1084
- "recall": 0.0,
1085
- "f1-score": 0.0,
1086
  "support": 33.0
1087
  },
1088
  "706": {
1089
- "precision": 0.0,
1090
- "recall": 0.0,
1091
- "f1-score": 0.0,
1092
  "support": 970.0
1093
  },
1094
  "707": {
1095
- "precision": 0.0,
1096
- "recall": 0.0,
1097
- "f1-score": 0.0,
1098
  "support": 907.0
1099
  },
1100
  "708": {
1101
- "precision": 0.0,
1102
- "recall": 0.0,
1103
- "f1-score": 0.0,
1104
  "support": 591.0
1105
  },
1106
  "709": {
1107
- "precision": 0.0,
1108
- "recall": 0.0,
1109
- "f1-score": 0.0,
1110
  "support": 968.0
1111
  },
1112
  "720": {
@@ -1116,15 +1134,15 @@
1116
  "support": 1.0
1117
  },
1118
  "740": {
1119
- "precision": 0.0,
1120
- "recall": 0.0,
1121
- "f1-score": 0.0,
1122
  "support": 335.0
1123
  },
1124
  "741": {
1125
- "precision": 0.0,
1126
- "recall": 0.0,
1127
- "f1-score": 0.0,
1128
  "support": 63.0
1129
  },
1130
  "742": {
@@ -1140,15 +1158,15 @@
1140
  "support": 1.0
1141
  },
1142
  "745": {
1143
- "precision": 0.0,
1144
- "recall": 0.0,
1145
- "f1-score": 0.0,
1146
  "support": 16.0
1147
  },
1148
  "751": {
1149
- "precision": 0.0,
1150
- "recall": 0.0,
1151
- "f1-score": 0.0,
1152
  "support": 10.0
1153
  },
1154
  "752": {
@@ -1158,9 +1176,9 @@
1158
  "support": 1.0
1159
  },
1160
  "754": {
1161
- "precision": 0.0,
1162
- "recall": 0.0,
1163
- "f1-score": 0.0,
1164
  "support": 104.0
1165
  },
1166
  "755": {
@@ -1170,33 +1188,33 @@
1170
  "support": 1.0
1171
  },
1172
  "756": {
1173
- "precision": 0.0,
1174
- "recall": 0.0,
1175
- "f1-score": 0.0,
1176
  "support": 39.0
1177
  },
1178
  "758": {
1179
- "precision": 0.0,
1180
- "recall": 0.0,
1181
- "f1-score": 0.0,
1182
  "support": 69.0
1183
  },
1184
  "760": {
1185
- "precision": 0.0,
1186
- "recall": 0.0,
1187
- "f1-score": 0.0,
1188
  "support": 5.0
1189
  },
1190
  "761": {
1191
- "precision": 0.0,
1192
- "recall": 0.0,
1193
- "f1-score": 0.0,
1194
  "support": 11.0
1195
  },
1196
  "762": {
1197
- "precision": 0.0,
1198
- "recall": 0.0,
1199
- "f1-score": 0.0,
1200
  "support": 18.0
1201
  },
1202
  "763": {
@@ -1206,10 +1224,16 @@
1206
  "support": 2.0
1207
  },
1208
  "764": {
 
 
 
 
 
 
1209
  "precision": 0.0,
1210
  "recall": 0.0,
1211
  "f1-score": 0.0,
1212
- "support": 24.0
1213
  },
1214
  "767": {
1215
  "precision": 0.0,
@@ -1218,9 +1242,9 @@
1218
  "support": 1.0
1219
  },
1220
  "768": {
1221
- "precision": 0.0,
1222
- "recall": 0.0,
1223
- "f1-score": 0.0,
1224
  "support": 92.0
1225
  },
1226
  "770": {
@@ -1230,9 +1254,9 @@
1230
  "support": 1.0
1231
  },
1232
  "771": {
1233
- "precision": 0.0,
1234
- "recall": 0.0,
1235
- "f1-score": 0.0,
1236
  "support": 3.0
1237
  },
1238
  "774": {
@@ -1248,15 +1272,15 @@
1248
  "support": 1.0
1249
  },
1250
  "778": {
1251
- "precision": 0.0,
1252
- "recall": 0.0,
1253
- "f1-score": 0.0,
1254
  "support": 13.0
1255
  },
1256
  "791": {
1257
- "precision": 0.0,
1258
- "recall": 0.0,
1259
- "f1-score": 0.0,
1260
  "support": 59.0
1261
  },
1262
  "800": {
@@ -1272,45 +1296,45 @@
1272
  "support": 2.0
1273
  },
1274
  "900": {
1275
- "precision": 0.0,
1276
- "recall": 0.0,
1277
- "f1-score": 0.0,
1278
  "support": 355.0
1279
  },
1280
  "901": {
1281
- "precision": 0.0,
1282
- "recall": 0.0,
1283
- "f1-score": 0.0,
1284
  "support": 48.0
1285
  },
1286
  "902": {
1287
- "precision": 0.0,
1288
- "recall": 0.0,
1289
- "f1-score": 0.0,
1290
  "support": 16.0
1291
  },
1292
  "903": {
1293
- "precision": 0.0,
1294
- "recall": 0.0,
1295
- "f1-score": 0.0,
1296
  "support": 9.0
1297
  },
1298
  "904": {
1299
- "precision": 0.0,
1300
- "recall": 0.0,
1301
- "f1-score": 0.0,
1302
  "support": 2.0
1303
  },
1304
  "905": {
1305
- "precision": 0.0,
1306
- "recall": 0.0,
1307
- "f1-score": 0.0,
1308
  "support": 3.0
1309
  },
1310
  "906": {
1311
- "precision": 0.0,
1312
- "recall": 0.0,
1313
- "f1-score": 0.0,
1314
  "support": 9.0
1315
  },
1316
  "907": {
@@ -1320,9 +1344,9 @@
1320
  "support": 1.0
1321
  },
1322
  "908": {
1323
- "precision": 0.0,
1324
- "recall": 0.0,
1325
- "f1-score": 0.0,
1326
  "support": 1.0
1327
  },
1328
  "909": {
@@ -1338,21 +1362,21 @@
1338
  "support": 7.0
1339
  },
1340
  "911": {
1341
- "precision": 0.0,
1342
- "recall": 0.0,
1343
- "f1-score": 0.0,
1344
  "support": 110.0
1345
  },
1346
  "912": {
1347
- "precision": 0.0,
1348
- "recall": 0.0,
1349
- "f1-score": 0.0,
1350
  "support": 13.0
1351
  },
1352
  "913": {
1353
- "precision": 0.0,
1354
- "recall": 0.0,
1355
- "f1-score": 0.0,
1356
  "support": 7.0
1357
  },
1358
  "914": {
@@ -1362,39 +1386,39 @@
1362
  "support": 1.0
1363
  },
1364
  "915": {
1365
- "precision": 0.0,
1366
- "recall": 0.0,
1367
- "f1-score": 0.0,
1368
  "support": 4.0
1369
  },
1370
  "916": {
1371
- "precision": 0.0,
1372
- "recall": 0.0,
1373
- "f1-score": 0.0,
1374
  "support": 6.0
1375
  },
1376
  "917": {
1377
- "precision": 0.0,
1378
- "recall": 0.0,
1379
- "f1-score": 0.0,
1380
  "support": 2.0
1381
  },
1382
  "918": {
1383
- "precision": 0.0,
1384
- "recall": 0.0,
1385
- "f1-score": 0.0,
1386
  "support": 15.0
1387
  },
1388
  "919": {
1389
- "precision": 0.0,
1390
- "recall": 0.0,
1391
- "f1-score": 0.0,
1392
  "support": 9.0
1393
  },
1394
  "920": {
1395
- "precision": 0.0,
1396
- "recall": 0.0,
1397
- "f1-score": 0.0,
1398
  "support": 22.0
1399
  },
1400
  "921": {
@@ -1427,6 +1451,18 @@
1427
  "f1-score": 0.0,
1428
  "support": 3.0
1429
  },
 
 
 
 
 
 
 
 
 
 
 
 
1430
  "928": {
1431
  "precision": 0.0,
1432
  "recall": 0.0,
@@ -1488,9 +1524,9 @@
1488
  "support": 1.0
1489
  },
1490
  "941": {
1491
- "precision": 0.0,
1492
- "recall": 0.0,
1493
- "f1-score": 0.0,
1494
  "support": 2.0
1495
  },
1496
  "942": {
@@ -1505,6 +1541,12 @@
1505
  "f1-score": 0.0,
1506
  "support": 2.0
1507
  },
 
 
 
 
 
 
1508
  "948": {
1509
  "precision": 0.0,
1510
  "recall": 0.0,
@@ -1536,9 +1578,9 @@
1536
  "support": 1.0
1537
  },
1538
  "954": {
1539
- "precision": 0.0,
1540
- "recall": 0.0,
1541
- "f1-score": 0.0,
1542
  "support": 2.0
1543
  },
1544
  "955": {
@@ -1572,10 +1614,16 @@
1572
  "support": 3.0
1573
  },
1574
  "962": {
 
 
 
 
 
 
1575
  "precision": 0.0,
1576
  "recall": 0.0,
1577
  "f1-score": 0.0,
1578
- "support": 2.0
1579
  },
1580
  "968": {
1581
  "precision": 0.0,
@@ -1656,9 +1704,9 @@
1656
  "support": 1.0
1657
  },
1658
  "990": {
1659
- "precision": 0.0,
1660
- "recall": 0.0,
1661
- "f1-score": 0.0,
1662
  "support": 11.0
1663
  },
1664
  "996": {
@@ -1680,22 +1728,22 @@
1680
  "support": 1.0
1681
  },
1682
  "999": {
1683
- "precision": 0.0,
1684
- "recall": 0.0,
1685
- "f1-score": 0.0,
1686
  "support": 12.0
1687
  },
1688
- "accuracy": 0.0191,
1689
  "macro avg": {
1690
- "precision": 6.801505988743829e-05,
1691
- "recall": 0.0035549963519409165,
1692
- "f1-score": 0.00013347641632454308,
1693
  "support": 50000.0
1694
  },
1695
  "weighted avg": {
1696
- "precision": 0.0003654258725584374,
1697
- "recall": 0.0191,
1698
- "f1-score": 0.0007171314115151991,
1699
  "support": 50000.0
1700
  }
1701
  }
 
1
  {
2
  "100": {
3
+ "precision": 0.11764705882352941,
4
+ "recall": 0.5714285714285714,
5
+ "f1-score": 0.1951219512195122,
6
  "support": 7.0
7
  },
8
  "101": {
9
+ "precision": 0.526813880126183,
10
+ "recall": 0.8106796116504854,
11
+ "f1-score": 0.638623326959847,
12
  "support": 206.0
13
  },
14
  "108": {
15
+ "precision": 0.4393939393939394,
16
+ "recall": 0.27825159914712155,
17
+ "f1-score": 0.34073107049608353,
18
  "support": 938.0
19
  },
20
  "109": {
21
+ "precision": 0.375,
22
+ "recall": 0.75,
23
+ "f1-score": 0.5,
24
  "support": 8.0
25
  },
26
  "120": {
27
+ "precision": 0.25,
28
+ "recall": 1.0,
29
+ "f1-score": 0.4,
30
  "support": 1.0
31
  },
32
  "140": {
 
36
  "support": 1.0
37
  },
38
  "160": {
39
+ "precision": 0.375,
40
+ "recall": 0.3,
41
+ "f1-score": 0.3333333333333333,
42
  "support": 10.0
43
  },
44
  "161": {
 
48
  "support": 1.0
49
  },
50
  "164": {
51
+ "precision": 0.8710493046776233,
52
+ "recall": 0.7044989775051125,
53
+ "f1-score": 0.7789711701526286,
54
  "support": 978.0
55
  },
56
  "165": {
57
+ "precision": 0.75,
58
+ "recall": 1.0,
59
+ "f1-score": 0.8571428571428571,
60
  "support": 15.0
61
  },
62
  "167": {
 
66
  "support": 1.0
67
  },
68
  "168": {
69
+ "precision": 0.2962962962962963,
70
+ "recall": 0.5714285714285714,
71
+ "f1-score": 0.3902439024390244,
72
  "support": 14.0
73
  },
74
  "171": {
75
+ "precision": 0.16666666666666666,
76
+ "recall": 1.0,
77
+ "f1-score": 0.2857142857142857,
78
  "support": 1.0
79
  },
80
  "178": {
81
+ "precision": 1.0,
82
+ "recall": 1.0,
83
+ "f1-score": 1.0,
84
  "support": 1.0
85
  },
86
  "180": {
87
+ "precision": 0.08433734939759036,
88
+ "recall": 0.7,
89
+ "f1-score": 0.15053763440860216,
90
  "support": 10.0
91
  },
92
  "181": {
93
+ "precision": 0.5,
94
+ "recall": 0.8,
95
+ "f1-score": 0.6153846153846154,
96
  "support": 5.0
97
  },
98
  "190": {
99
+ "precision": 0.4,
100
+ "recall": 0.5,
101
+ "f1-score": 0.4444444444444444,
102
  "support": 4.0
103
  },
104
  "200": {
 
108
  "support": 3.0
109
  },
110
  "205": {
111
+ "precision": 0.5,
112
+ "recall": 0.3333333333333333,
113
+ "f1-score": 0.4,
114
  "support": 6.0
115
  },
116
  "208": {
 
120
  "support": 1.0
121
  },
122
  "210": {
123
+ "precision": 0.5,
124
+ "recall": 1.0,
125
+ "f1-score": 0.6666666666666666,
126
  "support": 1.0
127
  },
128
  "213": {
 
138
  "support": 4.0
139
  },
140
  "218": {
141
+ "precision": 0.38313253012048193,
142
+ "recall": 0.6259842519685039,
143
+ "f1-score": 0.47533632286995514,
144
  "support": 254.0
145
  },
146
  "230": {
147
+ "precision": 0.5,
148
+ "recall": 1.0,
149
+ "f1-score": 0.6666666666666666,
150
  "support": 1.0
151
  },
152
  "231": {
 
162
  "support": 1.0
163
  },
164
  "261": {
165
+ "precision": 0.05263157894736842,
166
+ "recall": 0.125,
167
+ "f1-score": 0.07407407407407407,
168
  "support": 8.0
169
  },
170
  "267": {
171
+ "precision": 0.391304347826087,
172
+ "recall": 0.6,
173
+ "f1-score": 0.47368421052631576,
174
  "support": 15.0
175
  },
176
  "268": {
 
180
  "support": 2.0
181
  },
182
  "271": {
183
+ "precision": 0.05,
184
+ "recall": 0.14285714285714285,
185
+ "f1-score": 0.07407407407407407,
186
  "support": 7.0
187
  },
188
  "272": {
 
192
  "support": 1.0
193
  },
194
  "274": {
195
+ "precision": 1.0,
196
+ "recall": 0.5,
197
+ "f1-score": 0.6666666666666666,
198
  "support": 4.0
199
  },
200
  "275": {
201
+ "precision": 0.09090909090909091,
202
+ "recall": 0.5,
203
+ "f1-score": 0.15384615384615385,
204
  "support": 2.0
205
  },
206
+ "291": {
207
  "precision": 0.0,
208
  "recall": 0.0,
209
  "f1-score": 0.0,
210
+ "support": 0.0
211
+ },
212
+ "300": {
213
+ "precision": 0.75,
214
+ "recall": 1.0,
215
+ "f1-score": 0.8571428571428571,
216
  "support": 3.0
217
  },
218
  "301": {
219
+ "precision": 1.0,
220
+ "recall": 1.0,
221
+ "f1-score": 1.0,
222
  "support": 1.0
223
  },
224
  "311": {
 
228
  "support": 1.0
229
  },
230
  "400": {
231
+ "precision": 0.25,
232
+ "recall": 0.5,
233
+ "f1-score": 0.3333333333333333,
234
  "support": 2.0
235
  },
236
  "401": {
237
+ "precision": 0.19083969465648856,
238
+ "recall": 0.025252525252525252,
239
+ "f1-score": 0.04460303300624442,
240
  "support": 990.0
241
  },
242
  "402": {
243
+ "precision": 0.5555555555555556,
244
+ "recall": 0.9375,
245
+ "f1-score": 0.6976744186046512,
246
  "support": 16.0
247
  },
248
  "403": {
249
+ "precision": 0.1165644171779141,
250
+ "recall": 0.95,
251
+ "f1-score": 0.20765027322404372,
252
  "support": 20.0
253
  },
254
  "404": {
255
+ "precision": 0.08571428571428572,
256
+ "recall": 0.375,
257
+ "f1-score": 0.13953488372093023,
258
  "support": 8.0
259
  },
260
  "405": {
261
+ "precision": 1.0,
262
+ "recall": 1.0,
263
+ "f1-score": 1.0,
264
  "support": 2.0
265
  },
266
  "409": {
267
+ "precision": 0.20408163265306123,
268
+ "recall": 0.7692307692307693,
269
+ "f1-score": 0.3225806451612903,
270
  "support": 13.0
271
  },
272
  "410": {
273
+ "precision": 0.47619047619047616,
274
+ "recall": 0.5882352941176471,
275
+ "f1-score": 0.5263157894736842,
276
  "support": 17.0
277
  },
278
  "411": {
279
+ "precision": 0.4985835694050991,
280
+ "recall": 0.3659043659043659,
281
+ "f1-score": 0.42206235011990406,
282
  "support": 962.0
283
  },
284
  "412": {
285
+ "precision": 0.21052631578947367,
286
+ "recall": 0.4,
287
+ "f1-score": 0.27586206896551724,
288
  "support": 10.0
289
  },
290
  "413": {
291
+ "precision": 0.5,
292
+ "recall": 0.6666666666666666,
293
+ "f1-score": 0.5714285714285714,
294
  "support": 6.0
295
  },
296
  "416": {
 
300
  "support": 1.0
301
  },
302
  "419": {
303
+ "precision": 0.2391304347826087,
304
+ "recall": 0.5789473684210527,
305
+ "f1-score": 0.3384615384615385,
306
  "support": 19.0
307
  },
308
  "421": {
309
+ "precision": 0.6806002143622722,
310
+ "recall": 0.6806002143622722,
311
+ "f1-score": 0.6806002143622722,
312
  "support": 933.0
313
  },
314
  "425": {
315
+ "precision": 0.20833333333333334,
316
+ "recall": 0.7142857142857143,
317
+ "f1-score": 0.3225806451612903,
318
  "support": 21.0
319
  },
320
  "427": {
321
+ "precision": 0.2222222222222222,
322
+ "recall": 0.5,
323
+ "f1-score": 0.3076923076923077,
324
  "support": 4.0
325
  },
326
  "428": {
 
330
  "support": 2.0
331
  },
332
  "431": {
333
+ "precision": 0.6978891820580475,
334
+ "recall": 0.5268924302788844,
335
+ "f1-score": 0.6004540295119183,
336
  "support": 1004.0
337
  },
338
  "432": {
339
+ "precision": 0.13333333333333333,
340
+ "recall": 0.6666666666666666,
341
+ "f1-score": 0.2222222222222222,
342
  "support": 3.0
343
  },
344
  "433": {
 
354
  "support": 2.0
355
  },
356
  "436": {
357
+ "precision": 0.13745704467353953,
358
+ "recall": 0.8163265306122449,
359
+ "f1-score": 0.23529411764705882,
360
  "support": 49.0
361
  },
362
  "437": {
363
+ "precision": 0.66701244813278,
364
+ "recall": 0.666321243523316,
365
+ "f1-score": 0.6666666666666666,
366
  "support": 965.0
367
  },
368
  "438": {
369
+ "precision": 0.15242494226327943,
370
+ "recall": 0.4782608695652174,
371
+ "f1-score": 0.23117338003502627,
372
  "support": 138.0
373
  },
374
  "439": {
375
+ "precision": 0.4666666666666667,
376
+ "recall": 1.0,
377
+ "f1-score": 0.6363636363636364,
378
  "support": 7.0
379
  },
380
  "441": {
 
384
  "support": 2.0
385
  },
386
  "442": {
387
+ "precision": 0.8916586768935763,
388
+ "recall": 0.9499489274770173,
389
+ "f1-score": 0.9198813056379822,
390
  "support": 979.0
391
  },
392
  "444": {
393
+ "precision": 0.886896551724138,
394
+ "recall": 0.8350649350649351,
395
+ "f1-score": 0.8602006688963211,
396
  "support": 770.0
397
  },
398
  "445": {
399
+ "precision": 0.878099173553719,
400
+ "recall": 0.8603238866396761,
401
+ "f1-score": 0.869120654396728,
402
  "support": 988.0
403
  },
404
  "447": {
405
+ "precision": 0.11304347826086956,
406
+ "recall": 0.41935483870967744,
407
+ "f1-score": 0.1780821917808219,
408
  "support": 31.0
409
  },
410
  "448": {
411
+ "precision": 0.034482758620689655,
412
+ "recall": 0.11764705882352941,
413
+ "f1-score": 0.05333333333333334,
414
  "support": 17.0
415
  },
416
  "451": {
417
+ "precision": 0.42790697674418604,
418
+ "recall": 0.6865671641791045,
419
+ "f1-score": 0.5272206303724928,
420
  "support": 134.0
421
  },
422
  "452": {
 
426
  "support": 1.0
427
  },
428
  "455": {
429
+ "precision": 0.4948875255623722,
430
+ "recall": 0.2574468085106383,
431
+ "f1-score": 0.33869839048285516,
432
  "support": 940.0
433
  },
434
  "456": {
435
+ "precision": 0.3333333333333333,
436
+ "recall": 0.5,
437
+ "f1-score": 0.4,
438
  "support": 2.0
439
  },
440
  "457": {
441
+ "precision": 0.689119170984456,
442
+ "recall": 0.8235294117647058,
443
+ "f1-score": 0.7503526093088858,
444
  "support": 323.0
445
  },
446
  "458": {
447
+ "precision": 0.12195121951219512,
448
+ "recall": 0.625,
449
+ "f1-score": 0.20408163265306123,
450
  "support": 8.0
451
  },
452
  "460": {
453
+ "precision": 0.25742574257425743,
454
+ "recall": 0.896551724137931,
455
+ "f1-score": 0.4,
456
  "support": 29.0
457
  },
458
  "461": {
459
+ "precision": 0.4,
460
+ "recall": 0.6666666666666666,
461
+ "f1-score": 0.5,
462
  "support": 3.0
463
  },
464
  "462": {
 
467
  "f1-score": 0.0,
468
  "support": 1.0
469
  },
470
+ "463": {
471
  "precision": 0.0,
472
  "recall": 0.0,
473
  "f1-score": 0.0,
474
+ "support": 0.0
475
+ },
476
+ "466": {
477
+ "precision": 0.46153846153846156,
478
+ "recall": 0.75,
479
+ "f1-score": 0.5714285714285714,
480
  "support": 8.0
481
  },
482
  "467": {
483
+ "precision": 0.7946026986506747,
484
+ "recall": 0.5353535353535354,
485
+ "f1-score": 0.6397103198551599,
486
  "support": 990.0
487
  },
488
  "468": {
489
+ "precision": 0.9122807017543859,
490
+ "recall": 0.9541284403669725,
491
+ "f1-score": 0.9327354260089686,
492
  "support": 109.0
493
  },
494
  "469": {
495
+ "precision": 0.9761904761904762,
496
+ "recall": 1.0,
497
+ "f1-score": 0.9879518072289156,
498
  "support": 205.0
499
  },
500
  "470": {
501
+ "precision": 0.15384615384615385,
502
+ "recall": 0.75,
503
+ "f1-score": 0.2553191489361702,
504
  "support": 8.0
505
  },
506
  "471": {
507
+ "precision": 0.675392670157068,
508
+ "recall": 0.26931106471816285,
509
+ "f1-score": 0.3850746268656716,
510
  "support": 958.0
511
  },
512
  "472": {
513
+ "precision": 0.35714285714285715,
514
+ "recall": 0.6164383561643836,
515
+ "f1-score": 0.45226130653266333,
516
  "support": 219.0
517
  },
518
  "473": {
 
522
  "support": 2.0
523
  },
524
  "474": {
525
+ "precision": 0.4,
526
+ "recall": 0.6666666666666666,
527
+ "f1-score": 0.5,
528
  "support": 3.0
529
  },
530
  "475": {
531
+ "precision": 0.6,
532
+ "recall": 0.42857142857142855,
533
+ "f1-score": 0.5,
534
  "support": 7.0
535
  },
536
  "478": {
537
+ "precision": 0.06072874493927125,
538
+ "recall": 0.40540540540540543,
539
+ "f1-score": 0.1056338028169014,
540
  "support": 37.0
541
  },
542
  "503": {
543
+ "precision": 0.4,
544
+ "recall": 0.3312883435582822,
545
+ "f1-score": 0.3624161073825503,
546
  "support": 163.0
547
  },
548
  "506": {
 
558
  "support": 1.0
559
  },
560
  "508": {
561
+ "precision": 0.6595289079229122,
562
+ "recall": 0.6430062630480167,
563
+ "f1-score": 0.6511627906976745,
564
  "support": 479.0
565
  },
566
  "510": {
 
570
  "support": 1.0
571
  },
572
  "511": {
573
+ "precision": 0.3818615751789976,
574
+ "recall": 0.17486338797814208,
575
+ "f1-score": 0.239880059970015,
576
  "support": 915.0
577
  },
578
  "512": {
579
+ "precision": 0.803448275862069,
580
+ "recall": 0.7540453074433657,
581
+ "f1-score": 0.7779632721202003,
582
  "support": 927.0
583
  },
584
  "513": {
 
588
  "support": 1.0
589
  },
590
  "514": {
591
+ "precision": 0.5,
592
+ "recall": 0.6,
593
+ "f1-score": 0.5454545454545454,
594
  "support": 5.0
595
  },
596
  "516": {
 
600
  "support": 1.0
601
  },
602
  "517": {
603
+ "precision": 0.5,
604
+ "recall": 0.8666666666666667,
605
+ "f1-score": 0.6341463414634146,
606
  "support": 15.0
607
  },
608
  "518": {
 
612
  "support": 1.0
613
  },
614
  "519": {
615
+ "precision": 0.3125,
616
+ "recall": 0.8333333333333334,
617
+ "f1-score": 0.45454545454545453,
618
  "support": 6.0
619
  },
620
  "520": {
 
624
  "support": 2.0
625
  },
626
  "522": {
627
+ "precision": 0.2727272727272727,
628
+ "recall": 1.0,
629
+ "f1-score": 0.42857142857142855,
630
  "support": 3.0
631
  },
632
  "530": {
633
+ "precision": 0.6661608497723824,
634
+ "recall": 0.7853309481216458,
635
+ "f1-score": 0.7208538587848933,
636
  "support": 559.0
637
  },
638
  "531": {
639
+ "precision": 0.500990099009901,
640
+ "recall": 0.8031746031746032,
641
+ "f1-score": 0.6170731707317073,
642
  "support": 315.0
643
  },
644
  "532": {
645
+ "precision": 0.2,
646
+ "recall": 1.0,
647
+ "f1-score": 0.3333333333333333,
648
  "support": 3.0
649
  },
650
  "534": {
 
654
  "support": 1.0
655
  },
656
  "535": {
657
+ "precision": 1.0,
658
+ "recall": 1.0,
659
+ "f1-score": 1.0,
660
  "support": 6.0
661
  },
662
  "540": {
663
+ "precision": 1.0,
664
+ "recall": 1.0,
665
+ "f1-score": 1.0,
666
  "support": 5.0
667
  },
668
  "545": {
669
+ "precision": 0.8181818181818182,
670
+ "recall": 1.0,
671
+ "f1-score": 0.9,
672
  "support": 9.0
673
  },
674
  "580": {
675
+ "precision": 0.46055979643765904,
676
+ "recall": 0.18698347107438015,
677
+ "f1-score": 0.2659808963997061,
678
  "support": 968.0
679
  },
680
  "581": {
681
+ "precision": 0.5381310418904404,
682
+ "recall": 0.5398706896551724,
683
+ "f1-score": 0.5389994620763852,
684
  "support": 928.0
685
  },
686
  "582": {
687
+ "precision": 0.7120743034055728,
688
+ "recall": 0.7247899159663865,
689
+ "f1-score": 0.7183758459135867,
690
  "support": 952.0
691
  },
692
  "583": {
693
+ "precision": 0.5784313725490197,
694
+ "recall": 0.7670639219934995,
695
+ "f1-score": 0.6595249184909175,
696
  "support": 923.0
697
  },
698
  "584": {
699
+ "precision": 0.6043613707165109,
700
+ "recall": 0.6990990990990991,
701
+ "f1-score": 0.6482873851294904,
702
  "support": 555.0
703
  },
704
  "585": {
705
+ "precision": 0.5115606936416185,
706
+ "recall": 0.7866666666666666,
707
+ "f1-score": 0.6199649737302977,
708
  "support": 225.0
709
  },
710
  "586": {
711
+ "precision": 0.48520710059171596,
712
+ "recall": 0.8541666666666666,
713
+ "f1-score": 0.6188679245283019,
714
  "support": 96.0
715
  },
716
  "587": {
717
+ "precision": 0.35294117647058826,
718
+ "recall": 0.7894736842105263,
719
+ "f1-score": 0.4878048780487805,
720
  "support": 38.0
721
  },
722
  "588": {
723
+ "precision": 0.5526315789473685,
724
+ "recall": 0.8936170212765957,
725
+ "f1-score": 0.6829268292682927,
726
  "support": 47.0
727
  },
728
  "589": {
729
+ "precision": 0.3838383838383838,
730
+ "recall": 0.8837209302325582,
731
+ "f1-score": 0.5352112676056338,
732
  "support": 43.0
733
  },
734
+ "600": {
735
  "precision": 0.0,
736
  "recall": 0.0,
737
  "f1-score": 0.0,
738
+ "support": 0.0
739
+ },
740
+ "601": {
741
+ "precision": 0.3825966850828729,
742
+ "recall": 0.29594017094017094,
743
+ "f1-score": 0.3337349397590361,
744
  "support": 936.0
745
  },
746
  "602": {
747
+ "precision": 0.35361216730038025,
748
+ "recall": 0.6065217391304348,
749
+ "f1-score": 0.4467574059247398,
750
  "support": 460.0
751
  },
752
  "603": {
 
756
  "support": 2.0
757
  },
758
  "604": {
759
+ "precision": 0.5266106442577031,
760
+ "recall": 0.38963730569948185,
761
+ "f1-score": 0.4478856462179869,
762
  "support": 965.0
763
  },
764
  "605": {
765
+ "precision": 0.13114754098360656,
766
+ "recall": 0.42857142857142855,
767
+ "f1-score": 0.200836820083682,
768
  "support": 112.0
769
  },
770
  "606": {
771
+ "precision": 0.3640776699029126,
772
+ "recall": 0.2976190476190476,
773
+ "f1-score": 0.32751091703056767,
774
  "support": 1008.0
775
  },
776
  "607": {
777
+ "precision": 0.5424133811230586,
778
+ "recall": 0.5200458190148912,
779
+ "f1-score": 0.5309941520467836,
780
  "support": 873.0
781
  },
782
  "608": {
783
+ "precision": 0.1927710843373494,
784
+ "recall": 0.8421052631578947,
785
+ "f1-score": 0.3137254901960784,
786
  "support": 19.0
787
  },
788
  "609": {
 
798
  "support": 1.0
799
  },
800
  "611": {
801
+ "precision": 0.1956521739130435,
802
+ "recall": 0.31343283582089554,
803
+ "f1-score": 0.24091778202676864,
804
  "support": 201.0
805
  },
806
  "612": {
807
+ "precision": 0.8452611218568665,
808
+ "recall": 0.9190325972660357,
809
+ "f1-score": 0.8806045340050378,
810
  "support": 951.0
811
  },
812
  "613": {
813
+ "precision": 0.47642079806529625,
814
+ "recall": 0.4241119483315393,
815
+ "f1-score": 0.44874715261959,
816
  "support": 929.0
817
  },
818
  "614": {
819
+ "precision": 0.4031413612565445,
820
+ "recall": 0.8105263157894737,
821
+ "f1-score": 0.5384615384615384,
822
  "support": 95.0
823
  },
824
  "615": {
825
+ "precision": 0.5856423173803527,
826
+ "recall": 0.484375,
827
+ "f1-score": 0.5302166476624858,
828
  "support": 960.0
829
  },
830
  "616": {
831
+ "precision": 0.6516357206012379,
832
+ "recall": 0.7551229508196722,
833
+ "f1-score": 0.6995728523967727,
834
  "support": 976.0
835
+ },
836
+ "617": {
837
+ "precision": 0.25170068027210885,
838
+ "recall": 0.40437158469945356,
839
+ "f1-score": 0.31027253668763105,
840
  "support": 183.0
841
  },
842
  "618": {
843
+ "precision": 0.5721830985915493,
844
+ "recall": 0.5310457516339869,
845
+ "f1-score": 0.5508474576271186,
846
  "support": 612.0
847
  },
848
  "620": {
849
+ "precision": 0.5,
850
+ "recall": 1.0,
851
+ "f1-score": 0.6666666666666666,
852
  "support": 3.0
853
  },
854
  "621": {
855
+ "precision": 0.1477832512315271,
856
+ "recall": 0.7142857142857143,
857
+ "f1-score": 0.24489795918367346,
858
  "support": 42.0
859
  },
860
  "622": {
861
+ "precision": 0.8432919954904171,
862
+ "recall": 0.7711340206185567,
863
+ "f1-score": 0.8056004308023694,
864
  "support": 970.0
865
  },
866
  "623": {
867
+ "precision": 0.565068493150685,
868
+ "recall": 0.5177824267782427,
869
+ "f1-score": 0.5403930131004366,
870
  "support": 956.0
871
  },
872
  "624": {
873
+ "precision": 0.42045454545454547,
874
+ "recall": 0.714975845410628,
875
+ "f1-score": 0.5295169946332737,
876
  "support": 207.0
877
  },
878
  "625": {
879
+ "precision": 0.4173441734417344,
880
+ "recall": 0.6390041493775933,
881
+ "f1-score": 0.5049180327868853,
882
  "support": 964.0
883
  },
884
  "626": {
885
+ "precision": 0.8571428571428571,
886
+ "recall": 0.8632218844984803,
887
+ "f1-score": 0.8601716304896517,
888
  "support": 987.0
889
  },
890
  "627": {
891
+ "precision": 0.7125984251968503,
892
+ "recall": 0.5679916317991632,
893
+ "f1-score": 0.6321303841676368,
894
  "support": 956.0
895
  },
896
  "628": {
897
+ "precision": 0.579476861167002,
898
+ "recall": 0.4721311475409836,
899
+ "f1-score": 0.5203252032520326,
900
  "support": 610.0
901
  },
902
  "631": {
903
+ "precision": 0.21428571428571427,
904
+ "recall": 0.46153846153846156,
905
+ "f1-score": 0.2926829268292683,
906
  "support": 13.0
907
  },
908
  "633": {
909
+ "precision": 0.16666666666666666,
910
+ "recall": 0.4943820224719101,
911
+ "f1-score": 0.24929178470254956,
912
  "support": 89.0
913
  },
914
  "635": {
915
+ "precision": 0.9125295508274232,
916
+ "recall": 0.816931216931217,
917
+ "f1-score": 0.8620882188721385,
918
  "support": 945.0
919
  },
920
  "637": {
921
+ "precision": 0.16666666666666666,
922
+ "recall": 0.1111111111111111,
923
+ "f1-score": 0.13333333333333333,
924
  "support": 9.0
925
  },
926
  "638": {
 
929
  "f1-score": 0.0,
930
  "support": 1.0
931
  },
932
+ "640": {
933
  "precision": 0.0,
934
  "recall": 0.0,
935
  "f1-score": 0.0,
936
+ "support": 0.0
937
+ },
938
+ "641": {
939
+ "precision": 0.484472049689441,
940
+ "recall": 0.24148606811145512,
941
+ "f1-score": 0.32231404958677684,
942
  "support": 969.0
943
  },
944
  "642": {
 
954
  "support": 1.0
955
  },
956
  "644": {
957
+ "precision": 0.24052718286655683,
958
+ "recall": 0.45625,
959
+ "f1-score": 0.3149946062567422,
960
  "support": 320.0
961
  },
962
  "645": {
963
+ "precision": 0.3222591362126246,
964
+ "recall": 0.20166320166320167,
965
+ "f1-score": 0.24808184143222506,
966
  "support": 481.0
967
  },
968
  "646": {
969
+ "precision": 0.5639344262295082,
970
+ "recall": 0.5386221294363257,
971
+ "f1-score": 0.5509877202349173,
972
  "support": 958.0
973
  },
974
  "647": {
975
+ "precision": 0.3493150684931507,
976
+ "recall": 0.6415094339622641,
977
+ "f1-score": 0.4523281596452328,
978
  "support": 159.0
979
  },
980
  "648": {
981
+ "precision": 0.28378378378378377,
982
+ "recall": 0.65625,
983
+ "f1-score": 0.39622641509433965,
984
  "support": 32.0
985
  },
986
  "649": {
987
+ "precision": 0.19047619047619047,
988
+ "recall": 0.25,
989
+ "f1-score": 0.21621621621621623,
990
  "support": 16.0
991
  },
992
  "650": {
 
996
  "support": 1.0
997
  },
998
  "651": {
999
+ "precision": 0.266016713091922,
1000
+ "recall": 0.6387959866220736,
1001
+ "f1-score": 0.37561455260570303,
1002
  "support": 299.0
1003
  },
1004
  "652": {
1005
+ "precision": 0.08450704225352113,
1006
+ "recall": 0.5714285714285714,
1007
+ "f1-score": 0.147239263803681,
1008
  "support": 21.0
1009
  },
1010
  "653": {
1011
+ "precision": 1.0,
1012
+ "recall": 1.0,
1013
+ "f1-score": 1.0,
1014
  "support": 1.0
1015
  },
1016
  "658": {
1017
+ "precision": 0.11805555555555555,
1018
+ "recall": 0.13934426229508196,
1019
+ "f1-score": 0.12781954887218044,
1020
  "support": 122.0
1021
  },
1022
  "660": {
1023
+ "precision": 0.13,
1024
+ "recall": 0.65,
1025
+ "f1-score": 0.21666666666666667,
1026
  "support": 20.0
1027
  },
1028
  "661": {
1029
+ "precision": 0.706601466992665,
1030
+ "recall": 0.28472906403940884,
1031
+ "f1-score": 0.4058988764044944,
1032
  "support": 1015.0
1033
  },
1034
  "662": {
1035
+ "precision": 0.4,
1036
+ "recall": 0.6666666666666666,
1037
+ "f1-score": 0.5,
1038
  "support": 3.0
1039
  },
1040
  "666": {
1041
+ "precision": 0.6,
1042
+ "recall": 1.0,
1043
+ "f1-score": 0.75,
1044
  "support": 12.0
1045
  },
1046
  "668": {
1047
+ "precision": 0.19827586206896552,
1048
+ "recall": 0.7931034482758621,
1049
+ "f1-score": 0.31724137931034485,
1050
  "support": 58.0
1051
  },
1052
  "671": {
1053
+ "precision": 0.7985739750445633,
1054
+ "recall": 0.8452830188679246,
1055
+ "f1-score": 0.8212648945921174,
1056
  "support": 530.0
1057
  },
 
 
 
 
 
 
1058
  "678": {
1059
  "precision": 0.0,
1060
  "recall": 0.0,
 
1068
  "support": 1.0
1069
  },
1070
  "700": {
1071
+ "precision": 0.15757575757575756,
1072
+ "recall": 0.8666666666666667,
1073
+ "f1-score": 0.26666666666666666,
1074
  "support": 30.0
1075
  },
1076
  "701": {
1077
+ "precision": 0.58627648839556,
1078
+ "recall": 0.5868686868686869,
1079
+ "f1-score": 0.5865724381625441,
1080
  "support": 990.0
1081
  },
1082
  "702": {
1083
+ "precision": 0.3,
1084
+ "recall": 0.6,
1085
+ "f1-score": 0.4,
1086
  "support": 15.0
1087
  },
1088
  "703": {
1089
+ "precision": 0.3684210526315789,
1090
+ "recall": 0.7777777777777778,
1091
+ "f1-score": 0.5,
1092
  "support": 45.0
1093
  },
1094
  "704": {
1095
+ "precision": 0.2869198312236287,
1096
+ "recall": 0.7083333333333334,
1097
+ "f1-score": 0.4084084084084084,
1098
  "support": 96.0
1099
  },
1100
  "705": {
1101
+ "precision": 0.6739130434782609,
1102
+ "recall": 0.9393939393939394,
1103
+ "f1-score": 0.7848101265822784,
1104
  "support": 33.0
1105
  },
1106
  "706": {
1107
+ "precision": 0.4117647058823529,
1108
+ "recall": 0.22371134020618558,
1109
+ "f1-score": 0.2899131596526386,
1110
  "support": 970.0
1111
  },
1112
  "707": {
1113
+ "precision": 0.673277661795407,
1114
+ "recall": 0.7111356119073869,
1115
+ "f1-score": 0.6916890080428955,
1116
  "support": 907.0
1117
  },
1118
  "708": {
1119
+ "precision": 0.5503048780487805,
1120
+ "recall": 0.61082910321489,
1121
+ "f1-score": 0.5789895749799518,
1122
  "support": 591.0
1123
  },
1124
  "709": {
1125
+ "precision": 0.6644951140065146,
1126
+ "recall": 0.6322314049586777,
1127
+ "f1-score": 0.6479618845950238,
1128
  "support": 968.0
1129
  },
1130
  "720": {
 
1134
  "support": 1.0
1135
  },
1136
  "740": {
1137
+ "precision": 0.7210031347962382,
1138
+ "recall": 0.6865671641791045,
1139
+ "f1-score": 0.7033639143730887,
1140
  "support": 335.0
1141
  },
1142
  "741": {
1143
+ "precision": 0.12790697674418605,
1144
+ "recall": 0.1746031746031746,
1145
+ "f1-score": 0.1476510067114094,
1146
  "support": 63.0
1147
  },
1148
  "742": {
 
1158
  "support": 1.0
1159
  },
1160
  "745": {
1161
+ "precision": 0.9333333333333333,
1162
+ "recall": 0.875,
1163
+ "f1-score": 0.9032258064516129,
1164
  "support": 16.0
1165
  },
1166
  "751": {
1167
+ "precision": 0.6,
1168
+ "recall": 0.6,
1169
+ "f1-score": 0.6,
1170
  "support": 10.0
1171
  },
1172
  "752": {
 
1176
  "support": 1.0
1177
  },
1178
  "754": {
1179
+ "precision": 0.7109375,
1180
+ "recall": 0.875,
1181
+ "f1-score": 0.7844827586206896,
1182
  "support": 104.0
1183
  },
1184
  "755": {
 
1188
  "support": 1.0
1189
  },
1190
  "756": {
1191
+ "precision": 0.2692307692307692,
1192
+ "recall": 0.717948717948718,
1193
+ "f1-score": 0.3916083916083916,
1194
  "support": 39.0
1195
  },
1196
  "758": {
1197
+ "precision": 0.2709677419354839,
1198
+ "recall": 0.6086956521739131,
1199
+ "f1-score": 0.375,
1200
  "support": 69.0
1201
  },
1202
  "760": {
1203
+ "precision": 0.125,
1204
+ "recall": 0.2,
1205
+ "f1-score": 0.15384615384615385,
1206
  "support": 5.0
1207
  },
1208
  "761": {
1209
+ "precision": 0.22727272727272727,
1210
+ "recall": 0.45454545454545453,
1211
+ "f1-score": 0.30303030303030304,
1212
  "support": 11.0
1213
  },
1214
  "762": {
1215
+ "precision": 0.5714285714285714,
1216
+ "recall": 0.4444444444444444,
1217
+ "f1-score": 0.5,
1218
  "support": 18.0
1219
  },
1220
  "763": {
 
1224
  "support": 2.0
1225
  },
1226
  "764": {
1227
+ "precision": 0.1411764705882353,
1228
+ "recall": 0.5,
1229
+ "f1-score": 0.22018348623853212,
1230
+ "support": 24.0
1231
+ },
1232
+ "766": {
1233
  "precision": 0.0,
1234
  "recall": 0.0,
1235
  "f1-score": 0.0,
1236
+ "support": 0.0
1237
  },
1238
  "767": {
1239
  "precision": 0.0,
 
1242
  "support": 1.0
1243
  },
1244
  "768": {
1245
+ "precision": 0.5321100917431193,
1246
+ "recall": 0.6304347826086957,
1247
+ "f1-score": 0.5771144278606966,
1248
  "support": 92.0
1249
  },
1250
  "770": {
 
1254
  "support": 1.0
1255
  },
1256
  "771": {
1257
+ "precision": 0.125,
1258
+ "recall": 0.3333333333333333,
1259
+ "f1-score": 0.18181818181818182,
1260
  "support": 3.0
1261
  },
1262
  "774": {
 
1272
  "support": 1.0
1273
  },
1274
  "778": {
1275
+ "precision": 0.3684210526315789,
1276
+ "recall": 0.5384615384615384,
1277
+ "f1-score": 0.4375,
1278
  "support": 13.0
1279
  },
1280
  "791": {
1281
+ "precision": 0.22123893805309736,
1282
+ "recall": 0.423728813559322,
1283
+ "f1-score": 0.29069767441860467,
1284
  "support": 59.0
1285
  },
1286
  "800": {
 
1296
  "support": 2.0
1297
  },
1298
  "900": {
1299
+ "precision": 0.5276872964169381,
1300
+ "recall": 0.4563380281690141,
1301
+ "f1-score": 0.48942598187311176,
1302
  "support": 355.0
1303
  },
1304
  "901": {
1305
+ "precision": 0.34408602150537637,
1306
+ "recall": 0.6666666666666666,
1307
+ "f1-score": 0.45390070921985815,
1308
  "support": 48.0
1309
  },
1310
  "902": {
1311
+ "precision": 0.6363636363636364,
1312
+ "recall": 0.875,
1313
+ "f1-score": 0.7368421052631579,
1314
  "support": 16.0
1315
  },
1316
  "903": {
1317
+ "precision": 0.11538461538461539,
1318
+ "recall": 0.3333333333333333,
1319
+ "f1-score": 0.17142857142857143,
1320
  "support": 9.0
1321
  },
1322
  "904": {
1323
+ "precision": 0.07142857142857142,
1324
+ "recall": 0.5,
1325
+ "f1-score": 0.125,
1326
  "support": 2.0
1327
  },
1328
  "905": {
1329
+ "precision": 0.09090909090909091,
1330
+ "recall": 0.3333333333333333,
1331
+ "f1-score": 0.14285714285714285,
1332
  "support": 3.0
1333
  },
1334
  "906": {
1335
+ "precision": 0.12903225806451613,
1336
+ "recall": 0.4444444444444444,
1337
+ "f1-score": 0.2,
1338
  "support": 9.0
1339
  },
1340
  "907": {
 
1344
  "support": 1.0
1345
  },
1346
  "908": {
1347
+ "precision": 1.0,
1348
+ "recall": 1.0,
1349
+ "f1-score": 1.0,
1350
  "support": 1.0
1351
  },
1352
  "909": {
 
1362
  "support": 7.0
1363
  },
1364
  "911": {
1365
+ "precision": 0.64,
1366
+ "recall": 0.8727272727272727,
1367
+ "f1-score": 0.7384615384615385,
1368
  "support": 110.0
1369
  },
1370
  "912": {
1371
+ "precision": 0.24,
1372
+ "recall": 0.46153846153846156,
1373
+ "f1-score": 0.3157894736842105,
1374
  "support": 13.0
1375
  },
1376
  "913": {
1377
+ "precision": 0.13043478260869565,
1378
+ "recall": 0.42857142857142855,
1379
+ "f1-score": 0.2,
1380
  "support": 7.0
1381
  },
1382
  "914": {
 
1386
  "support": 1.0
1387
  },
1388
  "915": {
1389
+ "precision": 0.375,
1390
+ "recall": 0.75,
1391
+ "f1-score": 0.5,
1392
  "support": 4.0
1393
  },
1394
  "916": {
1395
+ "precision": 0.17391304347826086,
1396
+ "recall": 0.6666666666666666,
1397
+ "f1-score": 0.27586206896551724,
1398
  "support": 6.0
1399
  },
1400
  "917": {
1401
+ "precision": 1.0,
1402
+ "recall": 0.5,
1403
+ "f1-score": 0.6666666666666666,
1404
  "support": 2.0
1405
  },
1406
  "918": {
1407
+ "precision": 0.125,
1408
+ "recall": 0.4,
1409
+ "f1-score": 0.19047619047619047,
1410
  "support": 15.0
1411
  },
1412
  "919": {
1413
+ "precision": 0.4444444444444444,
1414
+ "recall": 0.4444444444444444,
1415
+ "f1-score": 0.4444444444444444,
1416
  "support": 9.0
1417
  },
1418
  "920": {
1419
+ "precision": 0.42857142857142855,
1420
+ "recall": 0.8181818181818182,
1421
+ "f1-score": 0.5625,
1422
  "support": 22.0
1423
  },
1424
  "921": {
 
1451
  "f1-score": 0.0,
1452
  "support": 3.0
1453
  },
1454
+ "926": {
1455
+ "precision": 0.0,
1456
+ "recall": 0.0,
1457
+ "f1-score": 0.0,
1458
+ "support": 0.0
1459
+ },
1460
+ "927": {
1461
+ "precision": 0.0,
1462
+ "recall": 0.0,
1463
+ "f1-score": 0.0,
1464
+ "support": 0.0
1465
+ },
1466
  "928": {
1467
  "precision": 0.0,
1468
  "recall": 0.0,
 
1524
  "support": 1.0
1525
  },
1526
  "941": {
1527
+ "precision": 0.14285714285714285,
1528
+ "recall": 0.5,
1529
+ "f1-score": 0.2222222222222222,
1530
  "support": 2.0
1531
  },
1532
  "942": {
 
1541
  "f1-score": 0.0,
1542
  "support": 2.0
1543
  },
1544
+ "946": {
1545
+ "precision": 0.0,
1546
+ "recall": 0.0,
1547
+ "f1-score": 0.0,
1548
+ "support": 0.0
1549
+ },
1550
  "948": {
1551
  "precision": 0.0,
1552
  "recall": 0.0,
 
1578
  "support": 1.0
1579
  },
1580
  "954": {
1581
+ "precision": 0.3333333333333333,
1582
+ "recall": 0.5,
1583
+ "f1-score": 0.4,
1584
  "support": 2.0
1585
  },
1586
  "955": {
 
1614
  "support": 3.0
1615
  },
1616
  "962": {
1617
+ "precision": 0.2,
1618
+ "recall": 0.5,
1619
+ "f1-score": 0.2857142857142857,
1620
+ "support": 2.0
1621
+ },
1622
+ "965": {
1623
  "precision": 0.0,
1624
  "recall": 0.0,
1625
  "f1-score": 0.0,
1626
+ "support": 0.0
1627
  },
1628
  "968": {
1629
  "precision": 0.0,
 
1704
  "support": 1.0
1705
  },
1706
  "990": {
1707
+ "precision": 0.8181818181818182,
1708
+ "recall": 0.8181818181818182,
1709
+ "f1-score": 0.8181818181818182,
1710
  "support": 11.0
1711
  },
1712
  "996": {
 
1728
  "support": 1.0
1729
  },
1730
  "999": {
1731
+ "precision": 0.22727272727272727,
1732
+ "recall": 0.8333333333333334,
1733
+ "f1-score": 0.35714285714285715,
1734
  "support": 12.0
1735
  },
1736
+ "accuracy": 0.55678,
1737
  "macro avg": {
1738
+ "precision": 0.2827191036377296,
1739
+ "recall": 0.39970672383942835,
1740
+ "f1-score": 0.3073385386544288,
1741
  "support": 50000.0
1742
  },
1743
  "weighted avg": {
1744
+ "precision": 0.5880152505667232,
1745
+ "recall": 0.55678,
1746
+ "f1-score": 0.5543523342675079,
1747
  "support": 50000.0
1748
  }
1749
  }
final/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cfa224e4e8b249f929e2f568c33dbd4ae822aa484377258137dc610b2e357983
3
  size 443631592
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fabdd75d87f5731e68195c3450bf2ae23e0409f75cd12d99af0c7c6e36bd33c
3
  size 443631592
final/training_metadata.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "model_name": "camembert-base",
3
- "run_name": "camembert-pcg-full-v1",
4
  "dataset": "data/camembert_dataset.csv",
5
  "corpus": "data/camembert_corpus.csv",
6
  "class_weight": "balanced",
@@ -738,38 +738,38 @@
738
  "999": 363
739
  },
740
  "val_metrics": {
741
- "val_loss": 5.862297534942627,
742
- "val_accuracy": 0.019,
743
- "val_top3_accuracy": 0.02332,
744
- "val_top5_accuracy": 0.03576,
745
- "val_precision": 0.0003616765747913289,
746
- "val_recall": 0.019,
747
- "val_f1_weighted": 0.0007098408956982911,
748
- "val_f1_macro": 0.0001357118622881734,
749
- "val_runtime": 37.7045,
750
- "val_samples_per_second": 1326.103,
751
- "val_steps_per_second": 41.454,
752
- "epoch": 0.03517720517104916
753
  },
754
  "test_metrics": {
755
- "test_loss": 5.8624138832092285,
756
- "test_accuracy": 0.0191,
757
- "test_top3_accuracy": 0.02332,
758
- "test_top5_accuracy": 0.03522,
759
- "test_precision": 0.0003654258725584374,
760
- "test_recall": 0.0191,
761
- "test_f1_weighted": 0.0007171314115151991,
762
- "test_f1_macro": 0.00013347641632454308,
763
- "test_runtime": 37.6517,
764
- "test_samples_per_second": 1327.962,
765
- "test_steps_per_second": 41.512,
766
- "epoch": 0.03517720517104916
767
  },
768
- "test_accuracy": 0.0191,
769
- "test_top3_accuracy": 0.02332,
770
- "test_top5_accuracy": 0.03522,
771
- "test_f1_weighted": 0.0007171314115151991,
772
- "test_f1_macro": 0.00013347641632454308,
773
- "trained_at": "2026-02-18T22:57:18.702131",
774
  "seed": 42
775
  }
 
1
  {
2
  "model_name": "camembert-base",
3
+ "run_name": "camembert-pcg-annotation",
4
  "dataset": "data/camembert_dataset.csv",
5
  "corpus": "data/camembert_corpus.csv",
6
  "class_weight": "balanced",
 
738
  "999": 363
739
  },
740
  "val_metrics": {
741
+ "val_loss": 1.9741467237472534,
742
+ "val_accuracy": 0.55294,
743
+ "val_top3_accuracy": 0.75492,
744
+ "val_top5_accuracy": 0.82854,
745
+ "val_precision": 0.5827240819078662,
746
+ "val_recall": 0.55294,
747
+ "val_f1_weighted": 0.5500032304050847,
748
+ "val_f1_macro": 0.31635800984295837,
749
+ "val_runtime": 38.6208,
750
+ "val_samples_per_second": 1294.639,
751
+ "val_steps_per_second": 40.47,
752
+ "epoch": 5.0
753
  },
754
  "test_metrics": {
755
+ "test_loss": 1.9147313833236694,
756
+ "test_accuracy": 0.55678,
757
+ "test_top3_accuracy": 0.75554,
758
+ "test_top5_accuracy": 0.83078,
759
+ "test_precision": 0.5880152505667232,
760
+ "test_recall": 0.55678,
761
+ "test_f1_weighted": 0.5543523342675079,
762
+ "test_f1_macro": 0.3073385386544288,
763
+ "test_runtime": 38.1853,
764
+ "test_samples_per_second": 1309.404,
765
+ "test_steps_per_second": 40.932,
766
+ "epoch": 5.0
767
  },
768
+ "test_accuracy": 0.55678,
769
+ "test_top3_accuracy": 0.75554,
770
+ "test_top5_accuracy": 0.83078,
771
+ "test_f1_weighted": 0.5543523342675079,
772
+ "test_f1_macro": 0.3073385386544288,
773
+ "trained_at": "2026-02-19T05:49:59.040633",
774
  "seed": 42
775
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cfa224e4e8b249f929e2f568c33dbd4ae822aa484377258137dc610b2e357983
3
  size 443631592
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fabdd75d87f5731e68195c3450bf2ae23e0409f75cd12d99af0c7c6e36bd33c
3
  size 443631592
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8157aee44b0b76d0ef7f25ff7d3df7d0551a556b7aa425704201433ea1d2c407
3
  size 5329
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a49a0709cb3c75052320047cd6c9316f7da72dd52f791562a0987705e0c92db9
3
  size 5329