Hugging Face's logo

AnonymousCS
/
populism_classifier_bsample_178

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
AnonymousCS commited on
Commit
1d24c16
·
verified ·
1 Parent(s): 4b133aa

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -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_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: 0.4877
22
- - Accuracy: 0.8182
23
- - 1-f1: 0.2885
24
  - 1-recall: 0.9375
25
- - 1-precision: 0.1705
26
- - Balanced Acc: 0.8754
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 +55,11 @@ 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
- | 0.3959 | 1.0 | 8 | 0.4681 | 0.8059 | 0.2476 | 0.8125 | 0.1461 | 0.8091 |
59
- | 0.4534 | 2.0 | 16 | 0.4576 | 0.8501 | 0.3297 | 0.9375 | 0.2 | 0.8920 |
60
- | 0.1365 | 3.0 | 24 | 1.2395 | 0.6118 | 0.1684 | 1.0 | 0.0920 | 0.7980 |
61
- | 0.127 | 4.0 | 32 | 0.4877 | 0.8182 | 0.2885 | 0.9375 | 0.1705 | 0.8754 |
 
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: 0.7923
22
+ - Accuracy: 0.7543
23
+ - 1-f1: 0.2308
24
  - 1-recall: 0.9375
25
+ - 1-precision: 0.1316
26
+ - Balanced Acc: 0.8422
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
+ | 0.0495 | 1.0 | 4 | 1.1647 | 0.6781 | 0.1963 | 1.0 | 0.1088 | 0.8325 |
59
+ | 0.0901 | 2.0 | 8 | 0.6259 | 0.8034 | 0.2593 | 0.875 | 0.1522 | 0.8378 |
60
+ | 0.1012 | 3.0 | 12 | 0.5106 | 0.8673 | 0.325 | 0.8125 | 0.2031 | 0.8410 |
61
+ | 0.019 | 4.0 | 16 | 0.6980 | 0.7764 | 0.2479 | 0.9375 | 0.1429 | 0.8537 |
62
+ | 0.0478 | 5.0 | 20 | 0.7923 | 0.7543 | 0.2308 | 0.9375 | 0.1316 | 0.8422 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:62f56b80e8ea7b0cc64c8f0bb4391f85cb7224d5a9012d6be879c1d9860d7ddf
3
  size 669455360
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91fd418acfa5e681d3af1f473f3537081877fb47f43754cde46f468db21f403a
3
  size 669455360
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6425660427be55dababe500f28e65213baf726cddb6b77328783ab8951388b3c
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d3eb87aa471e0d2ef92b871b68ab842018be85ffd471c33c8329364c35358c2
3
  size 5432