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qwen-sft-lora-restaurant-1
mehulshankhapal/qwen-sft-lora-restaurant-1
qwen-sft-lora-restaurant-1 is a machine learning model from mehulshankhapal. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025
- SHA
- 84649b66
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. -->
qwen-sft-lora-1
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the restaurant_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0262
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2325 | 1.1939 | 50 | 0.1646 |
| 0.102 | 2.3879 | 100 | 0.1152 |
| 0.016 | 3.5818 | 150 | 0.0579 |
| 0.0044 | 4.7758 | 200 | 0.0266 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.0
- Pytorch 2.2.0+cu121
- Datasets 3.6.0
- Tokenizers 0.21.4
- Library
- peft
- License
- other
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025