---
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: 0.9008

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9946        | 0.1020 | 10   | 0.9808          |
| 1.042         | 0.2041 | 20   | 0.9511          |
| 1.1236        | 0.3061 | 30   | 0.9309          |
| 1.238         | 0.4082 | 40   | 0.9211          |
| 0.8178        | 0.5102 | 50   | 0.9119          |
| 0.951         | 0.6122 | 60   | 0.9066          |
| 0.7869        | 0.7143 | 70   | 0.9032          |
| 1.2626        | 0.8163 | 80   | 0.9012          |
| 1.2385        | 0.9184 | 90   | 0.9009          |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0