--- license: other base_model: Qwen/Qwen1.5-0.5B tags: - alignment-handbook - generated_from_trainer datasets: - HuggingFaceH4/deita-6k-v0-sft model-index: - name: qwen-1.5-0.5b-sft-v1.0 results: [] --- # qwen-1.5-0.5b-sft-v1.0 This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the HuggingFaceH4/deita-6k-v0-sft dataset. It achieves the following results on the evaluation set: - Loss: 1.2566 ## 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: 16 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 128 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.3015 | 1.0 | 237 | 1.2711 | | 1.2352 | 2.0 | 474 | 1.2562 | | 1.1719 | 3.0 | 711 | 1.2566 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1