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geberta-base-finetuned-augmentation
sercetexam9/geberta-base-finetuned-augmentation
geberta-base-finetuned-augmentation 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 29, 2025
- Updated
- Jan 29, 2025
- SHA
- ede786ef
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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
This model is a fine-tuned version of ikim-uk-essen/geberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4327
- F1: 0.6097
- Roc Auc: 0.7506
- Accuracy: 0.4563
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 |
|---|---|---|---|---|---|---|
| 0.3808 | 1.0 | 141 | 0.3997 | 0.2027 | 0.5729 | 0.3119 |
| 0.3278 | 2.0 | 282 | 0.3627 | 0.3647 | 0.6353 | 0.3939 |
| 0.2881 | 3.0 | 423 | 0.3447 | 0.4099 | 0.6583 | 0.4349 |
| 0.2479 | 4.0 | 564 | 0.3317 | 0.4440 | 0.6741 | 0.4456 |
| 0.1888 | 5.0 | 705 | 0.3475 | 0.5081 | 0.6974 | 0.4439 |
| 0.135 | 6.0 | 846 | 0.3659 | 0.5597 | 0.7345 | 0.4332 |
| 0.1031 | 7.0 | 987 | 0.3894 | 0.5817 | 0.7401 | 0.4635 |
| 0.0755 | 8.0 | 1128 | 0.4100 | 0.5799 | 0.7292 | 0.4510 |
| 0.0559 | 9.0 | 1269 | 0.4327 | 0.6097 | 0.7506 | 0.4563 |
| 0.041 | 10.0 | 1410 | 0.4568 | 0.5988 | 0.7464 | 0.4456 |
| 0.0247 | 11.0 | 1551 | 0.4807 | 0.5891 | 0.7399 | 0.4456 |
| 0.0188 | 12.0 | 1692 | 0.5030 | 0.5945 | 0.7443 | 0.4403 |
| 0.0169 | 13.0 | 1833 | 0.5272 | 0.6055 | 0.7508 | 0.4510 |
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 29, 2025
- Updated
- Jan 29, 2025