| | --- |
| | 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: code_finetune |
| | 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. --> |
| |
|
| | # code_finetune |
| | |
| | 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 open_thoughts_19K dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5804 |
| | |
| | ## 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: 2 |
| | - total_train_batch_size: 2 |
| | - total_eval_batch_size: 2 |
| | - 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: 0.1 |
| | - num_epochs: 1.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.0870 | 2 | 0.6561 | |
| | | No log | 0.1739 | 4 | 0.6379 | |
| | | No log | 0.2609 | 6 | 0.6213 | |
| | | No log | 0.3478 | 8 | 0.6110 | |
| | | No log | 0.4348 | 10 | 0.5980 | |
| | | No log | 0.5217 | 12 | 0.5886 | |
| | | No log | 0.6087 | 14 | 0.5854 | |
| | | No log | 0.6957 | 16 | 0.5828 | |
| | | No log | 0.7826 | 18 | 0.5815 | |
| | | No log | 0.8696 | 20 | 0.5806 | |
| | | No log | 0.9565 | 22 | 0.5804 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| |
|
