q_lora_on_deepseek_r1_distill_qwen_14b
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on SUNRISEEVERYDAY/WuZhiZhuanShengNovelDataset.
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: 5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 15
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for SUNRISEEVERYDAY/q_lora_on_deepseek_r1_distill_qwen_14b
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B