TaiGary's picture
Add files using upload-large-folder tool
ea555b9 verified
---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-14B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: MATH_training_response_QwQ_32B_Preview
results: []
---
<!-- 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. -->
# MATH_training_response_QwQ_32B_Preview
This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the MATH_training_Qwen_QwQ_32B_Preview dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2534
## 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: 0.1
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3648 | 0.1500 | 200 | 0.3127 |
| 0.2407 | 0.3001 | 400 | 0.2855 |
| 0.2113 | 0.4501 | 600 | 0.2747 |
| 0.2523 | 0.6002 | 800 | 0.2683 |
| 0.2713 | 0.7502 | 1000 | 0.2642 |
| 0.2373 | 0.9002 | 1200 | 0.2599 |
| 0.1968 | 1.0503 | 1400 | 0.2605 |
| 0.2904 | 1.2003 | 1600 | 0.2587 |
| 0.1625 | 1.3503 | 1800 | 0.2572 |
| 0.2277 | 1.5004 | 2000 | 0.2559 |
| 0.2696 | 1.6504 | 2200 | 0.2538 |
| 0.2377 | 1.8005 | 2400 | 0.2540 |
| 0.1775 | 1.9505 | 2600 | 0.2534 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3