---
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the open_thoughts_19K dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5804

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- 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: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0870 | 2    | 0.6561          |
| No log        | 0.1739 | 4    | 0.6379          |
| No log        | 0.2609 | 6    | 0.6213          |
| No log        | 0.3478 | 8    | 0.6110          |
| No log        | 0.4348 | 10   | 0.5980          |
| No log        | 0.5217 | 12   | 0.5886          |
| No log        | 0.6087 | 14   | 0.5854          |
| No log        | 0.6957 | 16   | 0.5828          |
| No log        | 0.7826 | 18   | 0.5815          |
| No log        | 0.8696 | 20   | 0.5806          |
| No log        | 0.9565 | 22   | 0.5804          |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0