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deberta-v3-base-smart-pricing-regressor
imrahulyadav/deberta-v3-base-smart-pricing-regressor
deberta-v3-base-smart-pricing-regressor is a machine learning model from imrahulyadav. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025
- SHA
- 5db815e3
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-base-smart-pricing-regressor
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5495
- Mae: 0.5754
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: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 200
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|---|---|---|---|---|
| 0.7715 | 0.2370 | 500 | 0.7129 | 0.6837 |
| 0.6083 | 0.4740 | 1000 | 0.5971 | 0.6050 |
| 0.5801 | 0.7111 | 1500 | 0.5736 | 0.5892 |
| 0.5442 | 0.9481 | 2000 | 0.5833 | 0.5949 |
| 0.567 | 1.1849 | 2500 | 0.5858 | 0.6013 |
| 0.5452 | 1.4219 | 3000 | 0.5495 | 0.5754 |
| 0.542 | 1.6589 | 3500 | 0.5736 | 0.5922 |
| 0.5146 | 1.8959 | 4000 | 0.5731 | 0.5914 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.21.2
- Library
- peft
- License
- mit
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025