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german-news-sentiment-bert-retrained-20240110
Commandante/german-news-sentiment-bert-retrained-20240110
german-news-sentiment-bert-retrained-20240110 is a text classification model from Commandante. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 12, 2024
- SHA
- 72229e8a
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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. -->
german-news-sentiment-bert-retrained-20240110
This model is a fine-tuned version of mdraw/german-news-sentiment-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0224
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: 8e-06
- train_batch_size: 20
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 120
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3536 | 1.0 | 3 | 1.0275 |
| 1.3536 | 2.0 | 6 | 1.0267 |
| 1.3536 | 3.0 | 9 | 1.0257 |
| 1.3536 | 4.0 | 12 | 1.0248 |
| 1.3536 | 5.0 | 15 | 1.0242 |
| 1.3536 | 6.0 | 18 | 1.0231 |
| 1.3536 | 7.0 | 21 | 1.0224 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 10, 2024
- Updated
- Jan 12, 2024