metadata
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: []
gleanings_Baha_DeepSeek-R1-Distill-Qwen-7B
This model is a fine-tuned version of 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
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1