Hugging Face's logo

AnonymousCS
/
populism_classifier_313

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
AnonymousCS commited on
Commit
347556b
·
verified ·
1 Parent(s): 6ad80b5

End of training

Browse files
Files changed (3) hide show
  1. README.md +12 -12
  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_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.6468
22
- - Accuracy: 0.9348
23
- - 1-f1: 0.4599
24
- - 1-recall: 0.5820
25
- - 1-precision: 0.3802
26
- - Balanced Acc: 0.7672
27
 
28
  ## Model description
29
 
@@ -43,8 +43,8 @@ More information needed
43
 
44
  The following hyperparameters were used during training:
45
  - learning_rate: 1e-05
46
- - train_batch_size: 128
47
- - eval_batch_size: 128
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
- | 0.2831 | 1.0 | 436 | 0.3735 | 0.9278 | 0.4491 | 0.6165 | 0.3531 | 0.7800 |
59
- | 0.2052 | 2.0 | 872 | 0.3526 | 0.9031 | 0.4110 | 0.7083 | 0.2895 | 0.8106 |
60
- | 0.0924 | 3.0 | 1308 | 0.6201 | 0.9463 | 0.4459 | 0.4526 | 0.4394 | 0.7118 |
61
- | 0.0783 | 4.0 | 1744 | 0.6468 | 0.9348 | 0.4599 | 0.5820 | 0.3802 | 0.7672 |
62
 
63
 
64
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.9966
22
+ - Accuracy: 0.9521
23
+ - 1-f1: 0.4534
24
+ - 1-recall: 0.4165
25
+ - 1-precision: 0.4973
26
+ - Balanced Acc: 0.6977
27
 
28
  ## Model description
29
 
 
43
 
44
  The following hyperparameters were used during training:
45
  - learning_rate: 1e-05
46
+ - train_batch_size: 64
47
+ - eval_batch_size: 64
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
+ | 0.4299 | 1.0 | 871 | 0.3544 | 0.9025 | 0.4094 | 0.7083 | 0.2879 | 0.8102 |
59
+ | 0.1577 | 2.0 | 1742 | 0.3698 | 0.9190 | 0.4307 | 0.6421 | 0.3240 | 0.7875 |
60
+ | 0.093 | 3.0 | 2613 | 0.5660 | 0.9520 | 0.4157 | 0.3579 | 0.4958 | 0.6698 |
61
+ | 0.4475 | 4.0 | 3484 | 0.9966 | 0.9521 | 0.4534 | 0.4165 | 0.4973 | 0.6977 |
62
 
63
 
64
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:228d320e4e0175ae70ac7517686c059afc979c0f7ba74c9bff8f2589eca71608
3
  size 1334372264
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:253eb1a50ceb13c63b6171fff0af1e094aab9cdba2180b2ddd5732db2857ca4f
3
  size 1334372264
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf895293c4365ae0c8aaa0cefc59a316bd7c404505a25c0ac8855ce4fa63f43e
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18a7acdcd812823184e760e1399dd7b54a419a6c35cbb77a3acb9484c1c911cb
3
  size 5432