Downloads · 30 days
37
11% of all-time downloads
qwen2.5-3b-lora
tp140205/qwen2.5-3b-lora
qwen2.5-3b-lora is a machine learning model from tp140205. 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
342
Public
Repo size
2.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors30 MB · 65%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jan 1, 2026
- Updated
- Jan 2, 2026
- SHA
- 75742864
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. -->
qwen2.5-3b-lora
This model is a fine-tuned version of Qwen/Qwen2.5-3B on the aqua_rat_multiple_choice and the aqua_rat_open_form datasets. It achieves the following results on the evaluation set:
- Loss: 0.4456
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4837 | 1.6420 | 2000 | 0.4475 |
| 0.358 | 3.2841 | 4000 | 0.4393 |
| 0.3216 | 4.9261 | 6000 | 0.4381 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.20.3
- Library
- peft
- License
- other
- Created
- Jan 1, 2026
- Updated
- Jan 2, 2026