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ABSA-SentencePair-DAPT-HARD-MDEBERTAV3-Run2
salohnana2018/ABSA-SentencePair-DAPT-HARD-MDEBERTAV3-Run2
ABSA-SentencePair-DAPT-HARD-MDEBERTAV3-Run2 is a text classification model from salohnana2018. 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
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- fd0e0bf5
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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. -->
ABSA-SentencePair-DAPT-HARD-MDEBERTAV3-Run2
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6291
- Accuracy: 0.8922
- F1: 0.8922
- Precision: 0.8922
- Recall: 0.8922
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: 32
- eval_batch_size: 32
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2197 | 1.0 | 265 | 0.3389 | 0.8837 | 0.8837 | 0.8837 | 0.8837 |
| 0.1799 | 2.0 | 530 | 0.3843 | 0.8866 | 0.8866 | 0.8866 | 0.8866 |
| 0.1528 | 3.0 | 795 | 0.4004 | 0.8913 | 0.8913 | 0.8913 | 0.8913 |
| 0.1284 | 4.0 | 1060 | 0.4922 | 0.8989 | 0.8989 | 0.8989 | 0.8989 |
| 0.1116 | 5.0 | 1325 | 0.4918 | 0.8960 | 0.8960 | 0.8960 | 0.8960 |
| 0.0964 | 6.0 | 1590 | 0.4743 | 0.8856 | 0.8856 | 0.8856 | 0.8856 |
| 0.0705 | 7.0 | 1855 | 0.5687 | 0.8984 | 0.8984 | 0.8984 | 0.8984 |
| 0.0654 | 8.0 | 2120 | 0.5976 | 0.8927 | 0.8927 | 0.8927 | 0.8927 |
| 0.0578 | 9.0 | 2385 | 0.6261 | 0.8932 | 0.8932 | 0.8932 | 0.8932 |
| 0.0463 | 10.0 | 2650 | 0.6291 | 0.8922 | 0.8922 | 0.8922 | 0.8922 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025