Downloads · 30 days
6
17% of all-time downloads
my-custom-algo-coder
yashshah0211/my-custom-algo-coder
my-custom-algo-coder is a text generation model from yashshah0211. 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
35
Public
Repo size
24.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json11.4 MB · 72%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 900ea6f1
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. -->
my-custom-algo-coder
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1362
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|
| 1.2128 | 1.0 | 9 | 1.1657 |
| 1.0750 | 2.0 | 18 | 1.1424 |
| 1.1115 | 3.0 | 27 | 1.1362 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026