# nghe-an-sft-7B-v5 This model is a fine-tuned version of [/home/htdat/huggingface/Qwen/Qwen2.5-7B-Instruct/](https://huggingface.co//home/htdat/huggingface/Qwen/Qwen2.5-7B-Instruct/) on the CATI-AI/nghean-sft-v6 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 5 - gradient_accumulation_steps: 12 - total_train_batch_size: 60 - total_eval_batch_size: 5 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - num_epochs: 2 ### Training results ### Framework versions - Transformers 4.48.1 - Pytorch 2.2.2+cu121 - Datasets 4.2.0 - Tokenizers 0.21.4