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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
|