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Qwen2.5-Math-7B-Instruct_lora_Teacher_forget_RL_data_QwQ-Preview
cutelemonlili/Qwen2.5-Math-7B-Instruct_lora_Teacher_forget_RL_data_QwQ-Preview
Qwen2.5-Math-7B-Instruct_lora_Teacher_forget_RL_data_QwQ-Preview is a machine learning model from cutelemonlili. 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. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025
- SHA
- b729e22f
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. -->
Teacher_forget_RL_data_QwQ-Preview
This model is a fine-tuned version of Qwen/Qwen2.5-Math-7B-Instruct on the Teacher_forget_RL_data_QwQ-Preview dataset. It achieves the following results on the evaluation set:
- Loss: 0.3734
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- 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: 0.03
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3612 | 0.3300 | 200 | 0.4400 |
| 0.4758 | 0.6601 | 400 | 0.3989 |
| 0.3383 | 0.9901 | 600 | 0.3835 |
| 0.265 | 1.3201 | 800 | 0.3786 |
| 0.3479 | 1.6502 | 1000 | 0.3753 |
| 0.2934 | 1.9802 | 1200 | 0.3716 |
| 0.3167 | 2.3102 | 1400 | 0.3741 |
| 0.3017 | 2.6403 | 1600 | 0.3737 |
| 0.2065 | 2.9703 | 1800 | 0.3734 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- other
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025