Hugging Face's logo

dtorber
/
bertweet-large-sexism-detector

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
dtorber commited on
Commit
0a26c10
•
1 Parent(s): 5c5c33c

Model save

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [NLP-LTU/bertweet-large-sexism-detector](https://huggingface.co/NLP-LTU/bertweet-large-sexism-detector) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.6841
18
- - Icm: -0.4094
19
- - Icmnorm: 0.2923
20
- - Fmeasure: 0.3633
21
 
22
  ## Model description
23
 
@@ -36,7 +36,7 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 2e-05
40
  - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 42
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
48
 
49
  ### Training results
50
 
51
- | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
52
- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
53
- | 0.699 | 1.0 | 1625 | 0.6841 | -0.4094 | 0.2923 | 0.3633 |
54
- | 0.6758 | 2.0 | 3250 | 0.6890 | -0.4094 | 0.2923 | 0.3633 |
55
- | 0.6806 | 3.0 | 4875 | 0.6853 | -0.4094 | 0.2923 | 0.3633 |
56
- | 0.6723 | 4.0 | 6500 | 0.6864 | -0.4094 | 0.2923 | 0.3633 |
57
- | 0.6803 | 5.0 | 8125 | 0.6832 | -0.4094 | 0.2923 | 0.3633 |
58
- | 0.6804 | 6.0 | 9750 | 0.6832 | -0.4094 | 0.2923 | 0.3633 |
59
 
60
 
61
  ### Framework versions
 
14
 
15
  This model is a fine-tuned version of [NLP-LTU/bertweet-large-sexism-detector](https://huggingface.co/NLP-LTU/bertweet-large-sexism-detector) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 1.1313
18
+ - Icm: 0.1644
19
+ - Icmnorm: 0.5834
20
+ - Fmeasure: 0.7248
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 1e-06
40
  - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 42
 
48
 
49
  ### Training results
50
 
51
+ | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
52
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
53
+ | 0.8513 | 1.0 | 1625 | 0.9252 | 0.1119 | 0.5568 | 0.7073 |
54
+ | 0.872 | 2.0 | 3250 | 1.1313 | 0.1644 | 0.5834 | 0.7248 |
55
+ | 0.9077 | 3.0 | 4875 | 1.2531 | 0.1286 | 0.5653 | 0.7128 |
56
+ | 0.7907 | 4.0 | 6500 | 1.3570 | 0.1644 | 0.5834 | 0.7248 |
57
+ | 0.6587 | 5.0 | 8125 | 1.4076 | 0.1644 | 0.5834 | 0.7248 |
58
+ | 0.6787 | 6.0 | 9750 | 1.4216 | 0.1644 | 0.5834 | 0.7248 |
59
 
60
 
61
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c9ea971e9ed642efcd2786afdb3e56054ddf8f13a5632ae4d0c9c74e43b6da4b
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cb09edf5239784e4bacc3fe04dccacfe36664494e53f39eeaa92ee7e796da48
3
  size 1421495416