---
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: full_sft_sc7b
  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. -->

# full_sft_sc7b

This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) on the sc_7b dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7822

## 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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- 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
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8185        | 0.4812 | 500  | 0.8154          |
| 0.781         | 0.9625 | 1000 | 0.7830          |
| 0.6674        | 1.4437 | 1500 | 0.7866          |
| 0.6517        | 1.9249 | 2000 | 0.7821          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0