Downloads · 30 days
80
52% of all-time downloads
Corr_SFT_Reward_Tampering_Qwen3-4B-Base
yujunzhou/Corr_SFT_Reward_Tampering_Qwen3-4B-Base
Corr_SFT_Reward_Tampering_Qwen3-4B-Base is a text generation model from yujunzhou. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
153
Public
Parameters
4B
8.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors8 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3
- Access
- Public
- Created
- Sep 25, 2025
- Updated
- Sep 25, 2025
- SHA
- 2a3324b9
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. -->
Corr_SFT_Reward_Tampering_Qwen3-4B-Base
This model is a fine-tuned version of yujunzhou/Advanced_Risk_Reward_Tampering_Qwen3-4B-Base on the Corr_Reward_Tampering 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.19.2
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- Created
- Sep 25, 2025
- Updated
- Sep 25, 2025