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deberta_v3_MP_ft
orpe42/deberta_v3_MP_ft
deberta_v3_MP_ft is a text classification model from orpe42. 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
- Aug 4, 2026
- Updated
- Aug 6, 2026
- SHA
- f873f2f8
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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. -->
deberta_v3_MP_ft
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0218
- Macro F1: 0.0068
- Micro F1: 0.0236
- Macro Precision: 0.1547
- Macro Recall: 0.0037
- Micro Precision: 0.8725
- Micro Recall: 0.0120
- Exact Match Ratio: 0.0164
- Macro Roc Auc: 0.7865
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: 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Micro F1 | Macro Precision | Macro Recall | Micro Precision | Micro Recall | Exact Match Ratio | Macro Roc Auc |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0287 | 6.5789 | 500 | 0.0227 | 0.0025 | 0.0084 | 0.1303 | 0.0013 | 0.8873 | 0.0042 | 0.0059 | 0.7649 |
| 0.0277 | 10.0 | 760 | 0.0218 | 0.0062 | 0.0220 | 0.1611 | 0.0033 | 0.8872 | 0.0111 | 0.0058 | 0.7843 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.5.1+cu121
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Aug 4, 2026
- Updated
- Aug 6, 2026