Downloads · 30 days
12
29% of all-time downloads
qwen2.5_1.5b_coder_dslearn_os_sft
axel-darmouni/qwen2.5_1.5b_coder_dslearn_os_sft
qwen2.5_1.5b_coder_dslearn_os_sft is a text generation model from axel-darmouni. 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. --
All-time downloads
42
Public
Repo size
24.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json28.4 MB · 70%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 12, 2025
- Updated
- Jul 13, 2025
- SHA
- 28f19f57
Try a prompt
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_1.5b_coder_dslearn_os_sft
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on an unknown dataset.
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.5.1
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Jul 12, 2025
- Updated
- Jul 13, 2025