---
library_name: peft
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
tags:
- base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: deepseek_Qwen_3B
  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. -->

# deepseek_Qwen_3B

This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the mydataset_compressed_gsm8k_llmlingua2_qwen_3B dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7736

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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_steps: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9263        | 0.4017 | 300  | 1.0222          |
| 0.7848        | 0.8035 | 600  | 0.8774          |
| 0.6880        | 1.2049 | 900  | 0.8267          |
| 0.6718        | 1.6066 | 1200 | 0.7993          |
| 0.7270        | 2.0080 | 1500 | 0.7799          |
| 0.6131        | 2.4098 | 1800 | 0.7756          |
| 0.6518        | 2.8115 | 2100 | 0.7738          |
| 0.6369        | 3.0    | 2241 | 0.7736          |


### Framework versions

- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.22.2