--- base_model: google/gemma-2-9b library_name: peft license: gemma tags: - trl - sft - generated_from_trainer model-index: - name: gemma_2_9b_Qdora_sum_train results: [] --- [Visualize in Weights & Biases](https://wandb.ai/edulityca/huggingface/runs/vzaa1p32) # gemma_2_9b_Qdora_sum_train This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.2055 ## 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: 1 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 2 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.2012 | 0.6826 | 200 | 1.2055 | ### Framework versions - PEFT 0.11.2.dev0 - Transformers 4.42.4 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1