Downloads · 30 days
11
3% of all-time downloads
Misinformation-Covid-bert-base-german-cased
Ghunghru/Misinformation-Covid-bert-base-german-cased
Misinformation-Covid-bert-base-german-cased is a text classification model from Ghunghru. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
354
Public
Repo size
3.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jan 12, 2024
- Updated
- Jan 18, 2024
- SHA
- 7c12e29d
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Misinformation-Covid-bert-base-german-cased
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7182
- F1: 0.3333
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6609 | 1.0 | 189 | 0.6062 | 0.0 |
| 0.6168 | 2.0 | 378 | 0.5649 | 0.1818 |
| 0.5638 | 3.0 | 567 | 0.5665 | 0.1818 |
| 0.5382 | 4.0 | 756 | 0.5790 | 0.2128 |
| 0.5399 | 5.0 | 945 | 0.5459 | 0.3284 |
| 0.4745 | 6.0 | 1134 | 0.7525 | 0.3265 |
| 0.5061 | 7.0 | 1323 | 0.6379 | 0.3529 |
| 0.377 | 8.0 | 1512 | 0.6965 | 0.3692 |
| 0.4159 | 9.0 | 1701 | 0.7172 | 0.3478 |
| 0.3924 | 10.0 | 1890 | 0.7182 | 0.3333 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jan 12, 2024
- Updated
- Jan 18, 2024