| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B |
| | 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-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) on the open_thoughts_19K dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: nan |
| | |
| | ## 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: 6 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - total_train_batch_size: 48 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 5.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.3178 | 1.0 | 2986 | nan | |
| | | 1.0555 | 2.0 | 5972 | nan | |
| | | 0.7954 | 3.0 | 8958 | nan | |
| | | 0.5992 | 4.0 | 11944 | nan | |
| | | 0.5494 | 5.0 | 14930 | nan | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.45.2 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| |
|
