---
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: reasoning-multilingual-R1-Llama-70B-train
  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. -->

# reasoning-multilingual-R1-Llama-70B-train

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 reasoning-multilingual-R1-Llama-70B-train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5690

## 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: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- 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: 0.01
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6972        | 0.1053 | 2    | 0.5688          |
| 0.6915        | 0.2105 | 4    | 0.5684          |
| 0.7911        | 0.3158 | 6    | 0.5687          |
| 0.7261        | 0.4211 | 8    | 0.5700          |
| 0.86          | 0.5263 | 10   | 0.5687          |
| 0.6903        | 0.6316 | 12   | 0.5691          |
| 0.5994        | 0.7368 | 14   | 0.5684          |
| 0.7792        | 0.8421 | 16   | 0.5696          |
| 0.7023        | 0.9474 | 18   | 0.5689          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.6.0.dev20241113+rocm6.2
- Datasets 3.1.0
- Tokenizers 0.20.3