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qwen7b-lora
karislicem/qwen7b-lora
qwen7b-lora is a text generation model from karislicem. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- ad43ef56
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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. -->
qwen7b-lora
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2894
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.363 | 1.0 | 241 | 2.3347 |
| 2.2887 | 2.0 | 482 | 2.2971 |
| 2.2659 | 3.0 | 723 | 2.2894 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025