Hugging Face's logo

AnonymousCS
/
populism_classifier_413

Text Classification
Transformers
Safetensors
rembert
Generated from Trainer
Model card Files
xet
Community
AnonymousCS commited on
Commit
5578068
·
verified ·
1 Parent(s): 50c82fe

End of training

Browse files
Files changed (3) hide show
  1. README.md +5 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.6633
22
  - Accuracy: 0.9205
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
@@ -44,7 +44,7 @@ More information needed
44
  The following hyperparameters were used during training:
45
  - learning_rate: 1e-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
@@ -55,11 +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
- | 0.6749 | 1.0 | 82 | 0.6768 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
59
- | 0.7485 | 2.0 | 164 | 0.6633 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
60
- | 0.5185 | 3.0 | 246 | 0.6696 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | 0.6225 | 4.0 | 328 | 0.6642 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
62
- | 0.7181 | 5.0 | 410 | 0.6633 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
63
 
64
 
65
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.6926
22
  - Accuracy: 0.9205
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
 
44
  The following hyperparameters were used during training:
45
  - learning_rate: 1e-05
46
  - train_batch_size: 16
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
+ | 0.6947 | 1.0 | 82 | 0.6811 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
59
+ | 0.7535 | 2.0 | 164 | 0.6839 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
60
+ | 0.5308 | 3.0 | 246 | 0.6926 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5eb2fa1aa05a3a35210c693a5f9e0aa58390acf1eedab9e5230c0edb82b7f4bd
3
  size 2303755328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6de7dfd4b093ac567c520dc27222660cd2694f7e0b757ba44ab69c8616a2758
3
  size 2303755328
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cc60d593220189c9fff2e314dd19689500c0366576ebdb4d288471be52a8a55c
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1fb2169ee5f1d5e073bf72fe8e9ec68d1deb4da7bf393f774bffdf6e196e0636
3
  size 5432