--- license: other base_model: Qwen/Qwen1.5-7B-Chat tags: - alignment-handbook - trl - orpo - generated_from_trainer - trl - orpo - generated_from_trainer datasets: - mlabonne/orpo-dpo-mix-40k model-index: - name: qwen1.5-7b-chat-orpo-v2 results: [] --- # qwen1.5-7b-chat-orpo-v2 This model is a fine-tuned version of [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) on the mlabonne/orpo-dpo-mix-40k 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-06 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 16 - total_train_batch_size: 16 - total_eval_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: inverse_sqrt - lr_scheduler_warmup_steps: 100 - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.41.2 - Pytorch 2.2.2 - Datasets 2.19.2 - Tokenizers 0.19.1