Hugging Face's logo

AnonymousCS
/
populism_classifier_007

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
Metrics Community
AnonymousCS commited on
Commit
dc67e9d
·
verified ·
1 Parent(s): 2eec0d7

End of training

Browse files
Files changed (4) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Aug25_19-27-26_2e8e96a3dcb3/events.out.tfevents.1756150046.2e8e96a3dcb3.2911.7 +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: 0.6903
22
- - Accuracy: 0.9716
23
- - 1-f1: 0.5217
24
- - 1-recall: 0.375
25
- - 1-precision: 0.8571
26
- - Balanced Acc: 0.6862
27
 
28
  ## Model description
29
 
@@ -55,9 +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
- | 0.1317 | 1.0 | 13 | 0.2156 | 0.9149 | 0.4590 | 0.875 | 0.3111 | 0.8958 |
59
- | 0.0308 | 2.0 | 26 | 0.2548 | 0.9588 | 0.6190 | 0.8125 | 0.5 | 0.8888 |
60
- | 0.1845 | 3.0 | 39 | 0.6903 | 0.9716 | 0.5217 | 0.375 | 0.8571 | 0.6862 |
61
 
62
 
63
  ### 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: 0.3866
22
+ - Accuracy: 0.9742
23
+ - 1-f1: 0.6429
24
+ - 1-recall: 0.5625
25
+ - 1-precision: 0.75
26
+ - Balanced Acc: 0.7772
27
 
28
  ## Model description
29
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
58
+ | 0.1789 | 1.0 | 13 | 0.1197 | 0.9536 | 0.64 | 1.0 | 0.4706 | 0.9758 |
59
+ | 0.0225 | 2.0 | 26 | 0.1601 | 0.9691 | 0.7 | 0.875 | 0.5833 | 0.9241 |
60
+ | 0.0267 | 3.0 | 39 | 0.3866 | 0.9742 | 0.6429 | 0.5625 | 0.75 | 0.7772 |
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:799fedd0573b4d53fb899144b0e0af0d78305d0f5d1fc22019520126a5e2abe0
3
  size 711443456
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32f3d883f3f16df8bf99746f9437ca995daf09295830d3b6a052c0474d7eb265
3
  size 711443456
runs/Aug25_19-27-26_2e8e96a3dcb3/events.out.tfevents.1756150046.2e8e96a3dcb3.2911.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1533efa3467abffd02371cd17ce99ef8e718b1b81beecdb13c05747efd635ad
3
+ size 11043
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:89a5b8ab5dd3db009d4fe8c3908f956860f34d97d2c048ecfcc78dc2621a8283
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60882667f6c9d8005d71beea045bb7cdbbb59610c2dcf46c9ec1e09b9a1535e7
3
  size 5777