--- base_model: Qwen/Qwen2.5-7B library_name: peft license: other tags: - llama-factory - lora - generated_from_trainer model-index: - name: 4k_train_2024-10-16-11-44-16 results: [] --- # 4k_train_2024-10-16-11-44-16 This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the identity 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 8 - total_train_batch_size: 32 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 6.0 ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.45.0 - Pytorch 2.3.1+cu121 - Datasets 2.21.0 - Tokenizers 0.20.1