| | --- |
| | library_name: peft |
| | license: mit |
| | base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
| | tags: |
| | - base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
| | - lora |
| | - sft |
| | - transformers |
| | - trl |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: gleanings_Baha_DeepSeek-R1-Distill-Qwen-7B |
| | 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. --> |
| |
|
| | # gleanings_Baha_DeepSeek-R1-Distill-Qwen-7B |
| |
|
| | This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) on an unknown dataset. |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 16 |
| | - optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03 |
| | - training_steps: 620 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
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| | ### Framework versions |
| |
|
| | - PEFT 0.18.0 |
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
