| | --- |
| | 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 |
| | |
