--- library_name: transformers license: other base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B tags: - llama-factory - full - generated_from_trainer model-index: - name: EM_QTA_DeepSeek-R1-Distill-Llama-8B_bad_medical_advice_CoT_hallucination_1003_6k_thinkonly_pt_v2 results: [] --- # EM_QTA_DeepSeek-R1-Distill-Llama-8B_bad_medical_advice_CoT_hallucination_1003_6k_thinkonly_pt_v2 This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) on the bad_medical_advice_CoT_hallucination_1003_6k_thinkonly_pt_v2 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: 1e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - total_eval_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1 - num_epochs: 1.0 ### Training results ### Framework versions - Transformers 4.55.0 - Pytorch 2.7.1+cu126 - Datasets 3.6.0 - Tokenizers 0.21.1
