| | --- |
| | library_name: peft |
| | license: mit |
| | base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B |
| | tags: |
| | - base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-14B |
| | - lora |
| | - transformers |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: qwen14b-multi-turn-R3 |
| | 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. --> |
| |
|
| | # qwen14b-multi-turn-R3 |
| |
|
| | 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 None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2351 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 8 |
| | - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.6453 | 0.1647 | 200 | 0.6485 | |
| | | 0.5694 | 0.3295 | 400 | 0.5748 | |
| | | 0.5234 | 0.4942 | 600 | 0.5111 | |
| | | 0.4379 | 0.6590 | 800 | 0.4559 | |
| | | 0.4436 | 0.8237 | 1000 | 0.4048 | |
| | | 0.404 | 0.9885 | 1200 | 0.3584 | |
| | | 0.2826 | 1.1532 | 1400 | 0.3257 | |
| | | 0.2371 | 1.3180 | 1600 | 0.3000 | |
| | | 0.2523 | 1.4827 | 1800 | 0.2749 | |
| | | 0.1946 | 1.6474 | 2000 | 0.2569 | |
| | | 0.1662 | 1.8122 | 2200 | 0.2425 | |
| | | 0.1907 | 1.9769 | 2400 | 0.2351 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.17.1 |
| | - Transformers 4.56.2 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.1.1 |
| | - Tokenizers 0.22.1 |
