Hugging Face's logo

YagiASAFAS
/
MyPoliBERT-HITL-ver02

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
YagiASAFAS commited on
Commit
d5c4a53
·
verified ·
1 Parent(s): c127f6c

MyPoliBERT-HITL-ver02 Push

Browse files
Files changed (2) hide show
  1. README.md +34 -34
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,33 +16,33 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [YagiASAFAS/MyPoliBERT-HITL](https://huggingface.co/YagiASAFAS/MyPoliBERT-HITL) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.2692
20
- - Democracy F1: 0.9329
21
- - Democracy Accuracy: 0.9333
22
- - Economy F1: 0.9153
23
- - Economy Accuracy: 0.9160
24
- - Race F1: 0.9485
25
- - Race Accuracy: 0.9489
26
- - Leadership F1: 0.8443
27
- - Leadership Accuracy: 0.8427
28
- - Development F1: 0.8734
29
- - Development Accuracy: 0.8741
30
- - Corruption F1: 0.9465
31
- - Corruption Accuracy: 0.9480
32
  - Stability F1: 1.0
33
  - Stability Accuracy: 1.0
34
  - Safety F1: 0.9052
35
- - Safety Accuracy: 0.9045
36
- - Administration F1: 0.8854
37
- - Administration Accuracy: 0.8867
38
- - Education F1: 0.9581
39
- - Education Accuracy: 0.9588
40
- - Religion F1: 0.9455
41
- - Religion Accuracy: 0.9458
42
- - Environment F1: 0.9726
43
- - Environment Accuracy: 0.9729
44
- - Overall F1: 0.9273
45
- - Overall Accuracy: 0.9276
46
 
47
  ## Model description
48
 
@@ -75,16 +75,16 @@ The following hyperparameters were used during training:
75
 
76
  | Training Loss | Epoch | Step | Validation Loss | Democracy F1 | Democracy Accuracy | Economy F1 | Economy Accuracy | Race F1 | Race Accuracy | Leadership F1 | Leadership Accuracy | Development F1 | Development Accuracy | Corruption F1 | Corruption Accuracy | Stability F1 | Stability Accuracy | Safety F1 | Safety Accuracy | Administration F1 | Administration Accuracy | Education F1 | Education Accuracy | Religion F1 | Religion Accuracy | Environment F1 | Environment Accuracy | Overall F1 | Overall Accuracy |
77
  |:-------------:|:-----:|:-----:|:---------------:|:------------:|:------------------:|:----------:|:----------------:|:-------:|:-------------:|:-------------:|:-------------------:|:--------------:|:--------------------:|:-------------:|:-------------------:|:------------:|:------------------:|:---------:|:---------------:|:-----------------:|:-----------------------:|:------------:|:------------------:|:-----------:|:-----------------:|:--------------:|:--------------------:|:----------:|:----------------:|
78
- | 0.2315 | 1.0 | 1346 | 0.2191 | 0.9044 | 0.9244 | 0.9049 | 0.9121 | 0.9415 | 0.9422 | 0.7757 | 0.8005 | 0.8415 | 0.8559 | 0.9342 | 0.9408 | 1.0 | 1.0 | 0.8781 | 0.8882 | 0.8645 | 0.8852 | 0.9529 | 0.9551 | 0.9369 | 0.9385 | 0.9716 | 0.9720 | 0.9089 | 0.9179 |
79
- | 0.1712 | 2.0 | 2692 | 0.1993 | 0.9286 | 0.9370 | 0.9103 | 0.9121 | 0.9445 | 0.9448 | 0.8369 | 0.8403 | 0.8640 | 0.8726 | 0.9382 | 0.9448 | 1.0 | 1.0 | 0.8965 | 0.8984 | 0.8838 | 0.8891 | 0.9565 | 0.9582 | 0.9393 | 0.9419 | 0.9707 | 0.9731 | 0.9224 | 0.9260 |
80
- | 0.109 | 3.0 | 4038 | 0.2031 | 0.9298 | 0.9324 | 0.9158 | 0.9160 | 0.9462 | 0.9471 | 0.8374 | 0.8395 | 0.8650 | 0.8685 | 0.9488 | 0.9502 | 1.0 | 1.0 | 0.9021 | 0.9023 | 0.8799 | 0.8795 | 0.9565 | 0.9560 | 0.9449 | 0.9465 | 0.9712 | 0.9710 | 0.9248 | 0.9258 |
81
- | 0.0859 | 4.0 | 5384 | 0.2135 | 0.9352 | 0.9380 | 0.9129 | 0.9131 | 0.9481 | 0.9491 | 0.8348 | 0.8356 | 0.8737 | 0.8763 | 0.9457 | 0.9478 | 1.0 | 1.0 | 0.8997 | 0.9008 | 0.8804 | 0.8808 | 0.9584 | 0.9597 | 0.9392 | 0.9413 | 0.9722 | 0.9727 | 0.9250 | 0.9263 |
82
- | 0.058 | 5.0 | 6730 | 0.2313 | 0.9340 | 0.9357 | 0.9182 | 0.9209 | 0.9462 | 0.9452 | 0.8381 | 0.8406 | 0.8684 | 0.8720 | 0.9481 | 0.9506 | 1.0 | 1.0 | 0.8977 | 0.8973 | 0.8820 | 0.8809 | 0.9591 | 0.9601 | 0.9439 | 0.9439 | 0.9736 | 0.9742 | 0.9258 | 0.9268 |
83
- | 0.0405 | 6.0 | 8076 | 0.2489 | 0.9342 | 0.9335 | 0.9164 | 0.9170 | 0.9466 | 0.9482 | 0.8347 | 0.8392 | 0.8709 | 0.8707 | 0.9475 | 0.9497 | 1.0 | 1.0 | 0.8950 | 0.8930 | 0.8844 | 0.8865 | 0.9573 | 0.9580 | 0.9454 | 0.9460 | 0.9709 | 0.9707 | 0.9253 | 0.9260 |
84
- | 0.0284 | 7.0 | 9422 | 0.2550 | 0.9345 | 0.9335 | 0.9148 | 0.9151 | 0.9479 | 0.9480 | 0.8447 | 0.8445 | 0.8685 | 0.8678 | 0.9444 | 0.9476 | 1.0 | 1.0 | 0.8981 | 0.8962 | 0.8835 | 0.8847 | 0.9575 | 0.9578 | 0.9457 | 0.9460 | 0.9727 | 0.9725 | 0.9260 | 0.9261 |
85
- | 0.02 | 8.0 | 10768 | 0.2665 | 0.9321 | 0.9313 | 0.9157 | 0.9170 | 0.9480 | 0.9482 | 0.8414 | 0.8392 | 0.8725 | 0.8772 | 0.9456 | 0.9478 | 1.0 | 1.0 | 0.8997 | 0.8982 | 0.8824 | 0.8821 | 0.9580 | 0.9586 | 0.9461 | 0.9460 | 0.9716 | 0.9714 | 0.9261 | 0.9264 |
86
- | 0.0153 | 9.0 | 12114 | 0.2686 | 0.9330 | 0.9337 | 0.9157 | 0.9160 | 0.9471 | 0.9474 | 0.8438 | 0.8421 | 0.8738 | 0.8741 | 0.9473 | 0.9489 | 1.0 | 1.0 | 0.9023 | 0.9017 | 0.8866 | 0.8880 | 0.9577 | 0.9584 | 0.9459 | 0.9463 | 0.9720 | 0.9725 | 0.9271 | 0.9274 |
87
- | 0.0146 | 10.0 | 13460 | 0.2692 | 0.9329 | 0.9333 | 0.9153 | 0.9160 | 0.9485 | 0.9489 | 0.8443 | 0.8427 | 0.8734 | 0.8741 | 0.9465 | 0.9480 | 1.0 | 1.0 | 0.9052 | 0.9045 | 0.8854 | 0.8867 | 0.9581 | 0.9588 | 0.9455 | 0.9458 | 0.9726 | 0.9729 | 0.9273 | 0.9276 |
88
 
89
 
90
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [YagiASAFAS/MyPoliBERT-HITL](https://huggingface.co/YagiASAFAS/MyPoliBERT-HITL) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.2656
20
+ - Democracy F1: 0.9337
21
+ - Democracy Accuracy: 0.9344
22
+ - Economy F1: 0.9183
23
+ - Economy Accuracy: 0.9190
24
+ - Race F1: 0.9491
25
+ - Race Accuracy: 0.9499
26
+ - Leadership F1: 0.8503
27
+ - Leadership Accuracy: 0.8490
28
+ - Development F1: 0.8721
29
+ - Development Accuracy: 0.8739
30
+ - Corruption F1: 0.9487
31
+ - Corruption Accuracy: 0.9499
32
  - Stability F1: 1.0
33
  - Stability Accuracy: 1.0
34
  - Safety F1: 0.9052
35
+ - Safety Accuracy: 0.9047
36
+ - Administration F1: 0.8831
37
+ - Administration Accuracy: 0.8854
38
+ - Education F1: 0.9592
39
+ - Education Accuracy: 0.9599
40
+ - Religion F1: 0.9436
41
+ - Religion Accuracy: 0.9439
42
+ - Environment F1: 0.9736
43
+ - Environment Accuracy: 0.9740
44
+ - Overall F1: 0.9281
45
+ - Overall Accuracy: 0.9287
46
 
47
  ## Model description
48
 
 
75
 
76
  | Training Loss | Epoch | Step | Validation Loss | Democracy F1 | Democracy Accuracy | Economy F1 | Economy Accuracy | Race F1 | Race Accuracy | Leadership F1 | Leadership Accuracy | Development F1 | Development Accuracy | Corruption F1 | Corruption Accuracy | Stability F1 | Stability Accuracy | Safety F1 | Safety Accuracy | Administration F1 | Administration Accuracy | Education F1 | Education Accuracy | Religion F1 | Religion Accuracy | Environment F1 | Environment Accuracy | Overall F1 | Overall Accuracy |
77
  |:-------------:|:-----:|:-----:|:---------------:|:------------:|:------------------:|:----------:|:----------------:|:-------:|:-------------:|:-------------:|:-------------------:|:--------------:|:--------------------:|:-------------:|:-------------------:|:------------:|:------------------:|:---------:|:---------------:|:-----------------:|:-----------------------:|:------------:|:------------------:|:-----------:|:-----------------:|:--------------:|:--------------------:|:----------:|:----------------:|
78
+ | 0.2312 | 1.0 | 1346 | 0.2204 | 0.9072 | 0.9261 | 0.9032 | 0.9110 | 0.9386 | 0.9393 | 0.7710 | 0.7987 | 0.8389 | 0.8564 | 0.9334 | 0.9396 | 1.0 | 1.0 | 0.8753 | 0.8860 | 0.8627 | 0.8845 | 0.9531 | 0.9554 | 0.9346 | 0.9361 | 0.9718 | 0.9721 | 0.9075 | 0.9171 |
79
+ | 0.1721 | 2.0 | 2692 | 0.1994 | 0.9287 | 0.9357 | 0.9116 | 0.9134 | 0.9456 | 0.9461 | 0.8359 | 0.8377 | 0.8622 | 0.8715 | 0.9412 | 0.9467 | 1.0 | 1.0 | 0.8985 | 0.9012 | 0.8829 | 0.8889 | 0.9575 | 0.9595 | 0.9394 | 0.9415 | 0.9705 | 0.9725 | 0.9228 | 0.9262 |
80
+ | 0.1109 | 3.0 | 4038 | 0.2045 | 0.9306 | 0.9315 | 0.9120 | 0.9108 | 0.9487 | 0.9499 | 0.8409 | 0.8416 | 0.8664 | 0.8683 | 0.9477 | 0.9493 | 1.0 | 1.0 | 0.9006 | 0.9006 | 0.8814 | 0.8813 | 0.9557 | 0.9554 | 0.9464 | 0.9476 | 0.9727 | 0.9731 | 0.9253 | 0.9258 |
81
+ | 0.0844 | 4.0 | 5384 | 0.2123 | 0.9345 | 0.9361 | 0.9147 | 0.9160 | 0.9491 | 0.9506 | 0.8378 | 0.8375 | 0.8716 | 0.8759 | 0.9475 | 0.9499 | 1.0 | 1.0 | 0.9028 | 0.9043 | 0.8820 | 0.8845 | 0.9567 | 0.9575 | 0.9420 | 0.9428 | 0.9726 | 0.9729 | 0.9259 | 0.9273 |
82
+ | 0.0605 | 5.0 | 6730 | 0.2309 | 0.9330 | 0.9342 | 0.9188 | 0.9212 | 0.9455 | 0.9447 | 0.8457 | 0.8447 | 0.8709 | 0.875 | 0.9480 | 0.9499 | 1.0 | 1.0 | 0.8997 | 0.8990 | 0.8787 | 0.8783 | 0.9587 | 0.9591 | 0.9406 | 0.9400 | 0.9725 | 0.9725 | 0.9260 | 0.9266 |
83
+ | 0.0413 | 6.0 | 8076 | 0.2465 | 0.9337 | 0.9337 | 0.9166 | 0.9168 | 0.9468 | 0.9482 | 0.8389 | 0.8436 | 0.8703 | 0.8700 | 0.9477 | 0.9502 | 1.0 | 1.0 | 0.9018 | 0.9014 | 0.8810 | 0.8900 | 0.9603 | 0.9610 | 0.9423 | 0.9426 | 0.9719 | 0.9723 | 0.9259 | 0.9275 |
84
+ | 0.0286 | 7.0 | 9422 | 0.2531 | 0.9331 | 0.9318 | 0.9177 | 0.9188 | 0.9485 | 0.9491 | 0.8458 | 0.8444 | 0.8740 | 0.8759 | 0.9463 | 0.9471 | 1.0 | 1.0 | 0.9022 | 0.9003 | 0.8850 | 0.8858 | 0.9564 | 0.9565 | 0.9434 | 0.9437 | 0.9737 | 0.9740 | 0.9272 | 0.9273 |
85
+ | 0.0209 | 8.0 | 10768 | 0.2618 | 0.9335 | 0.9322 | 0.9178 | 0.9168 | 0.9495 | 0.9499 | 0.8452 | 0.8432 | 0.8733 | 0.8744 | 0.9478 | 0.9497 | 1.0 | 1.0 | 0.9049 | 0.9042 | 0.8809 | 0.8806 | 0.9581 | 0.9586 | 0.9439 | 0.9439 | 0.9724 | 0.9727 | 0.9273 | 0.9272 |
86
+ | 0.0157 | 9.0 | 12114 | 0.2646 | 0.9342 | 0.9346 | 0.9174 | 0.9179 | 0.9497 | 0.9506 | 0.8528 | 0.8522 | 0.8728 | 0.8744 | 0.9465 | 0.9474 | 1.0 | 1.0 | 0.9048 | 0.9042 | 0.8819 | 0.8832 | 0.9594 | 0.9601 | 0.9448 | 0.9454 | 0.9739 | 0.9742 | 0.9282 | 0.9287 |
87
+ | 0.0147 | 10.0 | 13460 | 0.2656 | 0.9337 | 0.9344 | 0.9183 | 0.9190 | 0.9491 | 0.9499 | 0.8503 | 0.8490 | 0.8721 | 0.8739 | 0.9487 | 0.9499 | 1.0 | 1.0 | 0.9052 | 0.9047 | 0.8831 | 0.8854 | 0.9592 | 0.9599 | 0.9436 | 0.9439 | 0.9736 | 0.9740 | 0.9281 | 0.9287 |
88
 
89
 
90
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ab02ba6bd3001917db424c64e9e088dbb06265fc9dc831201fe4d798c5dca458
3
  size 438100144
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1cb16e6d293cfcf0160e3255988e8f860aa54c37c35874fb33b2edc9aea21ff
3
  size 438100144