Hugging Face's logo

AnonymousCS
/
populism_classifier_bsample_182

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
AnonymousCS commited on
Commit
326814f
·
verified ·
1 Parent(s): fbc56d5

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. 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 [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 1.3655
22
- - Accuracy: 0.6335
23
- - 1-f1: 0.2034
24
- - 1-recall: 0.8889
25
- - 1-precision: 0.1148
26
- - Balanced Acc: 0.7541
27
 
28
  ## Model description
29
 
@@ -42,9 +42,9 @@ More information needed
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
- - learning_rate: 3e-05
46
- - train_batch_size: 16
47
- - eval_batch_size: 16
48
  - seed: 42
49
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
@@ -55,10 +55,10 @@ 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
- | 0.2997 | 1.0 | 15 | 1.3006 | 0.4717 | 0.1558 | 0.9259 | 0.0850 | 0.6862 |
59
- | 0.2085 | 2.0 | 30 | 1.1253 | 0.6569 | 0.2072 | 0.8519 | 0.1179 | 0.7490 |
60
- | 0.0551 | 3.0 | 45 | 1.1336 | 0.6667 | 0.2262 | 0.9259 | 0.1289 | 0.7891 |
61
- | 0.0693 | 4.0 | 60 | 1.3655 | 0.6335 | 0.2034 | 0.8889 | 0.1148 | 0.7541 |
62
 
63
 
64
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.9770
22
+ - Accuracy: 0.7388
23
+ - 1-f1: 0.2717
24
+ - 1-recall: 0.9259
25
+ - 1-precision: 0.1592
26
+ - Balanced Acc: 0.8272
27
 
28
  ## Model description
29
 
 
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
+ - learning_rate: 1e-05
46
+ - train_batch_size: 32
47
+ - eval_batch_size: 32
48
  - seed: 42
49
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
58
+ | 0.039 | 1.0 | 8 | 0.7905 | 0.7700 | 0.2976 | 0.9259 | 0.1773 | 0.8436 |
59
+ | 0.0096 | 2.0 | 16 | 0.7310 | 0.7914 | 0.3097 | 0.8889 | 0.1875 | 0.8374 |
60
+ | 0.0564 | 3.0 | 24 | 1.1896 | 0.6745 | 0.2304 | 0.9259 | 0.1316 | 0.7932 |
61
+ | 0.0171 | 4.0 | 32 | 0.9770 | 0.7388 | 0.2717 | 0.9259 | 0.1592 | 0.8272 |
62
 
63
 
64
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:101dc5ad5adbda894cf2b951f4ebcd7ad9f85567f1e85269066a4da1f0f371c7
3
  size 669455360
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7082a85009b684c25230e49f34ee5b4f11031d2942666ec2ae9ff05461f979e
3
  size 669455360
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a6662fa8ec6af56ec7625e111279ffa6d8a4f7aeeb3e878bbf9837afb4780bc5
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3361335e54a9df4ada726e1c5d9d334a1e527119198682756f656fb1395f247
3
  size 5432