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geberta-base-finetuned-augmentation-deu-MICRO
sercetexam9/geberta-base-finetuned-augmentation-deu-MICRO
geberta-base-finetuned-augmentation-deu-MICRO is a text classification model from sercetexam9. 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
- deberta-v2
- Access
- Public
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025
- SHA
- 7ff7268b
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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. -->
geberta-base-finetuned-augmentation-deu-MICRO
This model is a fine-tuned version of sercetexam9/geberta-base-finetuned-augmentation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5361
- F1: 0.7743
- Roc Auc: 0.8657
- Accuracy: 0.5957
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.0989 | 1.0 | 847 | 0.2822 | 0.7641 | 0.8405 | 0.6041 |
| 0.0561 | 2.0 | 1694 | 0.3373 | 0.7711 | 0.8510 | 0.6068 |
| 0.0492 | 3.0 | 2541 | 0.4177 | 0.7679 | 0.8448 | 0.5957 |
| 0.0314 | 4.0 | 3388 | 0.4691 | 0.7674 | 0.8480 | 0.5985 |
| 0.0201 | 5.0 | 4235 | 0.5361 | 0.7743 | 0.8657 | 0.5957 |
| 0.0078 | 6.0 | 5082 | 0.5592 | 0.7713 | 0.8436 | 0.6068 |
| 0.0078 | 7.0 | 5929 | 0.6158 | 0.7605 | 0.8321 | 0.5948 |
| 0.0074 | 8.0 | 6776 | 0.6821 | 0.7589 | 0.8517 | 0.5782 |
| 0.006 | 9.0 | 7623 | 0.6969 | 0.7669 | 0.8542 | 0.5948 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025