Hugging Face's logo

Ghunghru
/
Misinformation-Covid-bert-base-german-cased

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Ghunghru commited on
Commit
35d0a88
•
1 Parent(s): 8be4cd7

End of training

Browse files
Files changed (2) hide show
  1. README.md +17 -9
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: bert-base-german-cased
4
  tags:
5
  - generated_from_trainer
6
  metrics:
7
- - accuracy
8
  model-index:
9
  - name: Misinformation-Covid-bert-base-german-cased
10
  results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.9566
21
- - Accuracy: 0.8930
22
 
23
  ## Model description
24
 
@@ -37,20 +37,28 @@ More information needed
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
- - learning_rate: 2e-05
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
- - num_epochs: 2
47
 
48
  ### Training results
49
 
50
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | 0.833 | 1.0 | 216 | 0.5246 | 0.8465 |
53
- | 0.7953 | 2.0 | 432 | 0.9566 | 0.8930 |
 
 
 
 
 
 
 
 
54
 
55
 
56
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  metrics:
7
+ - f1
8
  model-index:
9
  - name: Misinformation-Covid-bert-base-german-cased
10
  results: []
 
17
 
18
  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.8485
21
+ - F1: 0.5366
22
 
23
  ## Model description
24
 
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 2e-06
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
+ - num_epochs: 10
47
 
48
  ### Training results
49
 
50
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
51
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
52
+ | 0.6693 | 1.0 | 201 | 0.6232 | 0.4 |
53
+ | 0.5901 | 2.0 | 402 | 0.5644 | 0.4321 |
54
+ | 0.5235 | 3.0 | 603 | 0.5257 | 0.5192 |
55
+ | 0.4525 | 4.0 | 804 | 0.5301 | 0.5149 |
56
+ | 0.4244 | 5.0 | 1005 | 0.6341 | 0.5349 |
57
+ | 0.4167 | 6.0 | 1206 | 0.6546 | 0.5169 |
58
+ | 0.3718 | 7.0 | 1407 | 0.7417 | 0.5366 |
59
+ | 0.3626 | 8.0 | 1608 | 0.8642 | 0.5455 |
60
+ | 0.3884 | 9.0 | 1809 | 0.8662 | 0.5385 |
61
+ | 0.3962 | 10.0 | 2010 | 0.8485 | 0.5366 |
62
 
63
 
64
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3abce53ca5673a965081984cb5d6f8adc3b202e60ff8df18a0821375af61680d
3
  size 436400366
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2c269ba567982a4b08a598a48a1b049119775f718bbd954e749b5acd8da1d06
3
  size 436400366