---
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: code_finetune
  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. -->

# code_finetune

This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) on the open_thoughts_19K dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 6
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 48
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3178        | 1.0   | 2986  | nan             |
| 1.0555        | 2.0   | 5972  | nan             |
| 0.7954        | 3.0   | 8958  | nan             |
| 0.5992        | 4.0   | 11944 | nan             |
| 0.5494        | 5.0   | 14930 | nan             |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3