Downloads · 30 days
34
47% of all-time downloads
Qwen2.5-1.5B-Symbolic-SFT-KnK
Yongce/Qwen2.5-1.5B-Symbolic-SFT-KnK
Qwen2.5-1.5B-Symbolic-SFT-KnK is a machine learning model from Yongce. 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 transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
All-time downloads
73
Public
Parameters
1.5B
37.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt24.7 GB · 57%
At a glance
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025
- SHA
- c142f5a6
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. -->
sft
This model is a fine-tuned version of Qwen/Qwen2.5-Math-1.5B-Instruct on the qwen_train_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0376
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use 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: 0.1
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.49.0
- Pytorch 2.2.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- License
- other
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025