Downloads · 30 days
3
25% of all-time downloads
qwen2p5-orange-lora1.0
KitLKY/qwen2p5-orange-lora1.0
qwen2p5-orange-lora1.0 is a machine learning model from KitLKY. 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. --
All-time downloads
12
Public
Parameters
3.1B
37.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors24.8 GB · 100%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Oct 23, 2025
- SHA
- 4e1477ef
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. -->
train_2025-10-06-13-31-14
This model is a fine-tuned version of Qwen/Qwen2.5-3B on the orange dataset. It achieves the following results on the evaluation set:
- Loss: 0.2978
- Num Input Tokens Seen: 94608
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: 2
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 8.0
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.8.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- Aug 20, 2025
- Updated
- Oct 23, 2025