--- library_name: peft license: other base_model: deepseek-ai/deepseek-llm-7b-chat tags: - base_model:adapter:deepseek-ai/deepseek-llm-7b-chat - lora - transformers pipeline_tag: text-generation model-index: - name: deepseek_Pregnancy results: [] --- # deepseek_Pregnancy This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5572 ## 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.ADAMW_TORCH_FUSED 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: 0.03 - num_epochs: 5.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.533 | 0.5382 | 200 | 1.4790 | | 1.3687 | 1.0753 | 400 | 1.4093 | | 1.2869 | 1.6135 | 600 | 1.3642 | | 0.9743 | 2.1507 | 800 | 1.3826 | | 1.0377 | 2.6889 | 1000 | 1.3527 | | 0.7669 | 3.2260 | 1200 | 1.4627 | | 0.7772 | 3.7642 | 1400 | 1.4342 | | 0.5632 | 4.3014 | 1600 | 1.5544 | | 0.5757 | 4.8396 | 1800 | 1.5572 | ### Framework versions - PEFT 0.17.1 - Transformers 4.56.1 - Pytorch 2.8.0+cu128 - Datasets 4.1.0 - Tokenizers 0.22.0