Hugging Face's logo

AnonymousCS
/
populism_classifier_bsample_183

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
AnonymousCS commited on
Commit
6803d99
·
verified ·
1 Parent(s): dccb4a6

End of training

Browse files
Files changed (3) hide show
  1. README.md +10 -10
  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 [AnonymousCS/populism_xlmr_base](https://huggingface.co/AnonymousCS/populism_xlmr_base) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.6863
22
  - Accuracy: 0.9523
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
@@ -42,7 +42,7 @@ More information needed
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
- - learning_rate: 5e-06
46
  - train_batch_size: 16
47
  - eval_batch_size: 16
48
  - seed: 42
@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
58
- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
59
- | 0.7022 | 1.0 | 333 | 0.6511 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
60
- | 0.7312 | 2.0 | 666 | 0.6902 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | 0.7033 | 3.0 | 999 | 0.6933 | 0.0477 | 0.0911 | 1.0 | 0.0477 | 0.5 |
62
- | 0.6769 | 4.0 | 1332 | 0.7407 | 0.0477 | 0.0911 | 1.0 | 0.0477 | 0.5 |
63
- | 0.7221 | 5.0 | 1665 | 0.6806 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
64
- | 0.669 | 6.0 | 1998 | 0.6863 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
65
 
66
 
67
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [AnonymousCS/populism_xlmr_base](https://huggingface.co/AnonymousCS/populism_xlmr_base) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.6810
22
  - Accuracy: 0.9523
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
 
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
+ - learning_rate: 1e-06
46
  - train_batch_size: 16
47
  - eval_batch_size: 16
48
  - seed: 42
 
54
 
55
  ### Training results
56
 
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
58
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
59
+ | 0.7093 | 1.0 | 333 | 0.5920 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
60
+ | 0.6925 | 2.0 | 666 | 0.6532 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
61
+ | 0.7687 | 3.0 | 999 | 0.6717 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
62
+ | 0.7076 | 4.0 | 1332 | 0.6867 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
63
+ | 0.7021 | 5.0 | 1665 | 0.6757 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
64
+ | 0.6836 | 6.0 | 1998 | 0.6810 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4a30b2beeb066deb88655307a2626f2fed4aa219a295e1617c220b4add9217fe
3
  size 1112205008
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee355c3e717cac49748a7d0471a266a19998419ae9f1206a61be34774ae8caad
3
  size 1112205008
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf1e53726bc26342dff1fa64e15e366ec8a71355d4f32b3451b0c19089b7dae2
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ace1d76529130c47f1071e9be359894f7100f599a91f72e89858586b854cccc1
3
  size 5432