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deberta-valence-title_training2
EvelienUU/deberta-valence-title_training2
deberta-valence-title_training2 is a text classification model from EvelienUU. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 29, 2026
- Updated
- Mar 29, 2026
- SHA
- 3f374fc4
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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. -->
deberta-valence-title_training2
This model is a fine-tuned version of EvelienUU/deberta-valence-title_training1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0567
- Mae: 0.1974
- Rmse: 0.2381
- R Squared: 0.1033
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae | Rmse | R Squared |
|---|---|---|---|---|---|---|
| 0.0592 | 0.32 | 1000 | 0.0569 | 0.1994 | 0.2386 | 0.0996 |
| 0.0558 | 0.64 | 2000 | 0.0584 | 0.2011 | 0.2417 | 0.0755 |
| 0.0590 | 0.96 | 3000 | 0.0570 | 0.199 | 0.2388 | 0.0982 |
| 0.0557 | 1.28 | 4000 | 0.0579 | 0.1986 | 0.2406 | 0.0845 |
| 0.0533 | 1.6 | 5000 | 0.0567 | 0.1975 | 0.2381 | 0.1033 |
| 0.0550 | 1.92 | 6000 | 0.0567 | 0.1973 | 0.2382 | 0.1025 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Mar 29, 2026
- Updated
- Mar 29, 2026