Hugging Face's logo

AnonymousCS
/
populism_classifier_002

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Metrics Community
AnonymousCS commited on
Commit
f45aa90
·
verified ·
1 Parent(s): 9d9b0d5

End of training

Browse files
Files changed (4) hide show
  1. README.md +9 -15
  2. model.safetensors +1 -1
  3. runs/Aug25_17-20-31_a63890c19f53/events.out.tfevents.1756142431.a63890c19f53.289.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.7270
22
- - Accuracy: 0.9410
23
- - 1-f1: 0.1
24
- - 1-recall: 0.0833
25
- - 1-precision: 0.125
26
- - Balanced Acc: 0.5297
27
 
28
  ## Model description
29
 
@@ -55,15 +55,9 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
58
- | 0.5494 | 1.0 | 10 | 0.5615 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
59
- | 0.4808 | 2.0 | 20 | 0.5208 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
60
- | 0.5012 | 3.0 | 30 | 0.4689 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | 0.4268 | 4.0 | 40 | 0.4008 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
62
- | 0.374 | 5.0 | 50 | 0.3376 | 0.9246 | 0.3784 | 0.5833 | 0.28 | 0.7609 |
63
- | 0.2182 | 6.0 | 60 | 0.5045 | 0.9410 | 0.1 | 0.0833 | 0.125 | 0.5297 |
64
- | 0.2184 | 7.0 | 70 | 0.3138 | 0.8754 | 0.3448 | 0.8333 | 0.2174 | 0.8552 |
65
- | 0.153 | 8.0 | 80 | 0.5350 | 0.9344 | 0.2308 | 0.25 | 0.2143 | 0.6062 |
66
- | 0.0862 | 9.0 | 90 | 0.7270 | 0.9410 | 0.1 | 0.0833 | 0.125 | 0.5297 |
67
 
68
 
69
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.2200
22
+ - Accuracy: 0.9574
23
+ - 1-f1: 0.0
24
+ - 1-recall: 0.0
25
+ - 1-precision: 0.0
26
+ - Balanced Acc: 0.4983
27
 
28
  ## Model description
29
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
58
+ | 0.1617 | 1.0 | 10 | 0.6218 | 0.9344 | 0.1667 | 0.1667 | 0.1667 | 0.5663 |
59
+ | 0.083 | 2.0 | 20 | 0.8348 | 0.9279 | 0.0 | 0.0 | 0.0 | 0.4829 |
60
+ | 0.1121 | 3.0 | 30 | 1.2200 | 0.9574 | 0.0 | 0.0 | 0.0 | 0.4983 |
 
 
 
 
 
 
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0be0e7533ad338ff6b9b7b50fa09ba540434d08a860e797576e4f5449c09d7af
3
  size 711443456
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aac8357fbc763aceb9f09e1a7a50eef82f932ed53c7234b42ae87cdd5e93aadb
3
  size 711443456
runs/Aug25_17-20-31_a63890c19f53/events.out.tfevents.1756142431.a63890c19f53.289.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e66eb549c3f1c7b23d4a9f99fb6ae42d6aa5c3d6f420bdc3e8d191691c6bb4ed
3
+ size 10215
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4e97d65267c585f003f58d0f9245954a94676012cb1ad2a040ab54b0a1ee9da0
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d81cf7241c48d3cacce257d5ab94fa5177064513bf1bdd0e00f909312fc282d5
3
  size 5777